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Dell’Anna G, Mandarino F, Centanni L, Lodola I, Fanizza J, Fasulo E, Bencardino S, Fuccio L, Facciorusso A, Donatelli G, Parigi TL, Furfaro F, D’Amico F, Massironi S, Malesci A, Ungaro F, Danese S, Annese V. Transforming Gastrointestinal Diagnosis with Molecular Endoscopy: Challenges and Opportunities. Int J Mol Sci 2025; 26:4834. [PMID: 40429975 PMCID: PMC12112569 DOI: 10.3390/ijms26104834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2025] [Revised: 05/09/2025] [Accepted: 05/15/2025] [Indexed: 05/29/2025] Open
Abstract
Molecular endoscopy represents a transformative advance in the detection, diagnosis, and management of gastrointestinal diseases, addressing the critical limitations of conventional techniques. Current diagnostic standards, such as white light endoscopy (WLE), often fail to detect early-stage lesions, particularly in high-risk populations like Barrett's esophagus or inflammatory bowel disease patients. To overcome these challenges, molecular endoscopy, using fluorescent molecular probes, may offer ultimate precision by targeting disease-specific biomarkers. Technologies like Confocal Laser Endomicroscopy (CLE) and Immunoendoscopy are revolutionizing in vivo diagnostics, enabling the real-time visualization of tissue microarchitecture and physiological mechanisms. Fluorescence molecular endoscopy (FME) enhances the detection of precancerous and cancerous lesions, even those undetectable by conventional methods, by highlighting subtle molecular changes. Clinical applications include early tumor detection, therapy response monitoring, and improved lesion characterization. Despite these advancements, challenges persist, including high costs, a lack of standardization, and the need for specialized training. Recent innovations, such as a multi-parametric rigid standard, aim to ensure the reliable performance assessment and quality control of FME systems, addressing subjective variability and improving reproducibility. In addition, the integration of artificial intelligence (AI) with molecular endoscopy offers the potential to further reduce detection errors and significantly enhance diagnostic accuracy. This advancement underscores the potential of molecular endoscopy for personalized GI disease management, while highlighting the need for ongoing research to refine the technology, validate its clinical utility, and overcome the barriers to routine clinical application.
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Affiliation(s)
- Giuseppe Dell’Anna
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, 20097 San Donato Milanese, Italy
| | - Francesco Mandarino
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Lucia Centanni
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Ilaria Lodola
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Jacopo Fanizza
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Ernesto Fasulo
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Sarah Bencardino
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Lorenzo Fuccio
- Unit of Gastroenterology, Department of Medical and Surgical Sciences, S. Orsola-Malpighi University Hospital, University of Bologna, via Massarenti 9, 40138 Bologna, Italy;
| | - Antonio Facciorusso
- Faculty of Medicine and Surgery, University of Salento, Piazza Tancredi 7, 73100 Lecce, Italy;
| | - Gianfranco Donatelli
- Unité d’Endoscopie Interventionnelle, Hopital Privé des Peupliers, Ramsay Générale de Santé, 75013 Paris, France;
- Department of Clinical Medicine and Surgery, University of Naples “Federico II”, 80131 Naples, Italy
| | - Tommaso Lorenzo Parigi
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Federica Furfaro
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Ferdinando D’Amico
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Sara Massironi
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Alberto Malesci
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Federica Ungaro
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Silvio Danese
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS San Raffaele Institute, Via Olgettina 60, 20132 Milan, Italy; (G.D.); (F.M.); (L.C.); (I.L.); (J.F.); (E.F.); (S.B.); (T.L.P.); (F.F.); (F.D.); (S.M.); (A.M.); (F.U.); (S.D.)
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
| | - Vito Annese
- Gastroenterology and Gastrointestinal Endoscopy Division, IRCCS Policlinico San Donato, Piazza Edmondo Malan 2, 20097 San Donato Milanese, Italy
- Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 56, 20132 Milan, Italy
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Lovat LB. Getting the best out of artificial intelligence in endoscopy. Endoscopy 2025. [PMID: 40267942 DOI: 10.1055/a-2566-9576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2025]
Affiliation(s)
- Laurence B Lovat
- Division of Surgery and Interventional Science, University College London, London, United Kingdom of Great Britain and Northern Ireland
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Nathani P, Sharma P. Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach. Gastrointest Endosc Clin N Am 2025; 35:319-353. [PMID: 40021232 DOI: 10.1016/j.giec.2024.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2025]
Abstract
The advent of artificial intelligence (AI) and deep learning algorithms, particularly convolutional neural networks, promises to address pitfalls, bridging the care for patients at high risk with improved detection (computer-aided detection [CADe]) and characterization (computer-aided diagnosis [CADx]) of lesions. This review describes the available artificial intelligence (AI) technology and the current data on AI tools for screening esophageal squamous cell cancer, Barret's esophagus-related neoplasia, and gastric cancer. These tools outperformed endoscopists in many situations. Recent randomized controlled trials have demonstrated the successful application of AI tools in clinical practice with improved outcomes.
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Affiliation(s)
- Piyush Nathani
- Department of Gastroenterology, University of Kansas School of Medicine, Kansas City, KS, USA.
| | - Prateek Sharma
- Department of Gastroenterology, University of Kansas School of Medicine, Kansas City, KS, USA; Kansas City Veteran Affairs Medical Center, Kansas City, MO, USA
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Laun SE, Kann L, Braun J, Pierre F, Kim S, Gilbert S, Lunz D, Kalra A, Ma K, Cheng Y, Leggett CL, Zaidi AH, Omstead AN, Korman L, Jobe B, Perpetua L, Greenwald BD, Maddala T, Meltzer SJ. Spatiotemporal Study of a Risk-Stratification Epigenetic-Based Biomarker Assay in Patients With Barrett Esophagus. Am J Gastroenterol 2025; 120:00000434-990000000-01586. [PMID: 39933887 PMCID: PMC12124209 DOI: 10.14309/ajg.0000000000003367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 01/24/2025] [Indexed: 02/13/2025]
Abstract
INTRODUCTION Barrett esophagus (BE) is the strongest known risk factor for developing esophageal adenocarcinoma (EAC), the second-most lethal cancer in the United States. Esopredict is a novel validated methylation-based biomarker assay that provides precise quantification of neoplastic progression risk in BE patients. Inherit challenges, including tissue heterogeneity, sampling error, interobserver variability, and inconsistent adherence to surveillance biopsy guidelines, may affect the predictive value results of Esopredict obtained at different anatomic locations or different sampling time points. METHODS To investigate the spatiotemporal performance of Esopredict across multiple spatiotemporal sampling points, we profiled 220 biopsies obtained from 58 BE patients, including 11 patients with overlapping spatial and temporal biopsies. We focused on spatial profiling (i.e., multiple biopsies obtained at several anatomic locations during a single endoscopy) and temporal profiling (i.e., biopsies obtained from multiple endoscopies performed at different time points). Each patient had an initial histologic diagnosis of nondysplastic Barrett esophagus, indefinite for dysplasia, or low-grade dysplasia. Final follow-up (endpoint) biopsies showed either high-grade dysplasia or EAC (progressors), or nondysplastic Barrett esophagus, indefinite for dysplasia, or low-grade dysplasia (nonprogressors). Biopsies were analyzed with Esopredict to compute a progression risk score, which quantified the likelihood of future progression to high-grade dysplasia or EAC within 5 years. RESULTS In 52 spatially profiled patients, Esopredict demonstrated a sensitivity of 81% (17/21 progressor patients), based on the highest-scoring biopsy from each patient; sensitivity increased to 100% (12/12) when end point biopsies occurred within 5 years of the index (initial) biopsy. In 28 temporally profiled patients, sensitivity was 100% (8/8 patients), based on the biopsy performed at the time point closest to the end point biopsy. DISCUSSION Esopredict showed high predictive performance in multiple spatiotemporal samples in BE patients. These data further support the use of Esopredict as a robust test to distinguish high-risk BE patients, who may benefit from endoscopic eradication therapy or increased surveillance frequency, from low-risk patients, who may be candidates for less frequent surveillance and noninterventional observation.
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Affiliation(s)
| | | | | | | | - Suji Kim
- Previse, Baltimore, Maryland, USA
| | | | | | - Andrew Kalra
- Department of Medicine, Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Ke Ma
- Department of Medicine, Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Medicine, Division of Gastroenterology and Hepatology, Jefferson Einstein Philadelphia Hospital, Philadelphia, Pennsylvania, USA
| | - Yulan Cheng
- Department of Medicine, Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Cadman L. Leggett
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ali H. Zaidi
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Ashten N. Omstead
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Louis Korman
- Capital Digestive Care, Chevy Chase, Maryland, USA
| | - Blair Jobe
- Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
- Department of Surgery, Esophageal Institute, Allegheny Health Network, Pittsburg, Pennsylvania, USA
| | - Lorrie Perpetua
- Research Tissue Biorepository Core Facility, University of Connecticut, Storrs, Connecticut, USA
| | - Bruce D. Greenwald
- Division of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | | - Stephen J. Meltzer
- Department of Medicine, Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Yadlapati R, Early D, Iyer PG, Morgan DR, Sengupta N, Sharma P, Shaheen NJ. Quality indicators for upper GI endoscopy. Gastrointest Endosc 2025; 101:236-260. [PMID: 39545899 DOI: 10.1016/j.gie.2024.08.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2024] [Accepted: 08/18/2024] [Indexed: 11/17/2024]
Affiliation(s)
- Rena Yadlapati
- Division of Gastroenterology, University of California San Diego, La Jolla, California, USA
| | - Dayna Early
- Division of Gastroenterology, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Prasad G Iyer
- Division of Gastroenterology, Mayo Clinic, Scottsdale, Arizona, USA
| | - Douglas R Morgan
- Division of Gastroenterology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Neil Sengupta
- Division of Gastroenterology, University of Chicago Medicine, Chicago, Illinois, USA
| | - Prateek Sharma
- Division of Gastroenterology, Veteran Affairs Medical Center and University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Nicholas J Shaheen
- Division of Gastroenterology, University of North Carolina, Chapel Hill, North Carolina, USA
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6
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Yadlapati R, Early D, Iyer PG, Morgan DR, Sengupta N, Sharma P, Shaheen NJ. Quality Indicators for Upper GI Endoscopy. Am J Gastroenterol 2025; 120:290-312. [PMID: 39808581 DOI: 10.14309/ajg.0000000000003252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 06/26/2024] [Indexed: 01/16/2025]
Affiliation(s)
- Rena Yadlapati
- Division of Gastroenterology, University of California San Diego, La Jolla, California, USA
| | - Dayna Early
- Division of Gastroenterology, Washington University, St. Louis, Missouri, USA
| | - Prasad G Iyer
- Division of Gastroenterology, Mayo Clinic, Rochester, Minnesota, USA
| | - Douglas R Morgan
- Division of Gastroenterology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Neil Sengupta
- Division of Gastroenterology, University of Chicago Medicine, Chicago, Illinois, USA
| | - Prateek Sharma
- Division of Gastroenterology, VA Medical Center and University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Nicholas J Shaheen
- Division of Gastroenterology, University of North Carolina, Chapel Hill, North Carolina, USA
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Kamran U, Evison F, Morris EJA, Brookes MJ, Rutter MD, McCord M, Adderley NJ, Trudgill N. The variation in post-endoscopy upper gastrointestinal cancer rates among endoscopy providers in England and associated factors: a population-based study. Endoscopy 2025; 57:17-28. [PMID: 39208876 PMCID: PMC11864345 DOI: 10.1055/a-2378-1464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 06/19/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Post-endoscopy upper gastrointestinal cancer (PEUGIC) is an important key performance indicator for endoscopy quality. We examined variation in PEUGIC rates among endoscopy providers in England and explored associated factors. METHODS The was a population-based, retrospective, case-control study, examining data from National Cancer Registration and Analysis Service and Hospital Episode Statistics databases for esophageal and gastric cancers diagnosed between 2009 and 2018 in England. PEUGIC were cancers diagnosed 6 to 36 months after an endoscopy that did not diagnose cancer. Associated factors were identified using multivariable logistic regression analyses. RESULTS The national PEUGIC rate was 8.5%, varying from 5% to 13% among endoscopy providers. Factors associated with PEUGIC included: female sex (odds ratio [OR] 1.29 [95%CI 1.23-1.36]); younger age (age >80 years, OR 0.52 [0.48-0.56], compared with ≤60 years); increasing comorbidity (Charlson score >4, OR 5.06 [4.45-5.76]); history of esophageal ulcer (OR 3.30 [3.11-3.50]), Barrett's esophagus (OR 3.21 [3.02-3.42]), esophageal stricture (OR 1.28 [1.20-1.37]), or gastric ulcer (OR 1.55 [1.44-1.66]); squamous cell carcinoma (OR 1.50 [1.39-1.61]); and UK national endoscopy accreditation status - providers requiring improvement (OR 1.10 [1.01-1.20]), providers never assessed (OR 1.24 [1.04-1.47]). CONCLUSION PEUGIC rates varied threefold among endoscopy providers, suggesting unwarranted differences in endoscopy quality. PEUGIC was associated with endoscopy findings known to be associated with upper gastrointestinal cancer and a lack of national endoscopy provider accreditation. PEUGIC variations suggest an opportunity to raise performance standards to detect upper gastrointestinal cancers earlier and improve outcomes.
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Affiliation(s)
- Umair Kamran
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Felicity Evison
- Data Science, Research, Development and Innovation, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Eva Judith Ann Morris
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom of Great Britain and Northern Ireland
| | - Matthew J Brookes
- Department of Gastroenterology, The Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom of Great Britain and Northern Ireland
- Faculty of Science and Engineering, Research Institute in Healthcare Science, University of Wolverhampton, Wolverhampton, United Kingdom of Great Britain and Northern Ireland
| | - Matthew David Rutter
- Department of Gastroenterology, North Tees and Hartlepool NHS Foundation Trust, Stockton-on-Tees, United Kingdom of Great Britain and Northern Ireland
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom of Great Britain and Northern Ireland
| | - Mimi McCord
- -, Heartburn Cancer UK, London, United Kingdom of Great Britain and Northern Ireland
| | - Nicola J Adderley
- Institute of Applied Health Research, University of Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland
| | - Nigel Trudgill
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, Birmingham, United Kingdom of Great Britain and Northern Ireland
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland
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Theocharopoulos C, Davakis S, Ziogas DC, Theocharopoulos A, Foteinou D, Mylonakis A, Katsaros I, Gogas H, Charalabopoulos A. Deep Learning for Image Analysis in the Diagnosis and Management of Esophageal Cancer. Cancers (Basel) 2024; 16:3285. [PMID: 39409906 PMCID: PMC11475041 DOI: 10.3390/cancers16193285] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Revised: 09/21/2024] [Accepted: 09/24/2024] [Indexed: 10/20/2024] Open
Abstract
Esophageal cancer has a dismal prognosis and necessitates a multimodal and multidisciplinary approach from diagnosis to treatment. High-definition white-light endoscopy and histopathological confirmation remain the gold standard for the definitive diagnosis of premalignant and malignant lesions. Artificial intelligence using deep learning (DL) methods for image analysis constitutes a promising adjunct for the clinical endoscopist that could effectively decrease BE overdiagnosis and unnecessary surveillance, while also assisting in the timely detection of dysplastic BE and esophageal cancer. A plethora of studies published during the last five years have consistently reported highly accurate DL algorithms with comparable or superior performance compared to endoscopists. Recent efforts aim to expand DL utilization into further aspects of esophageal neoplasia management including histologic diagnosis, segmentation of gross tumor volume, pretreatment prediction and post-treatment evaluation of patient response to systemic therapy and operative guidance during minimally invasive esophagectomy. Our manuscript serves as an introduction to the growing literature of DL applications for image analysis in the management of esophageal neoplasia, concisely presenting all currently published studies. We also aim to guide the clinician across basic functional principles, evaluation metrics and limitations of DL for image recognition to facilitate the comprehension and critical evaluation of the presented studies.
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Affiliation(s)
| | - Spyridon Davakis
- First Department of Surgery, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.D.); (A.M.); (I.K.); (A.C.)
| | - Dimitrios C. Ziogas
- First Department of Medicine, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.C.Z.); (D.F.); (H.G.)
| | - Achilleas Theocharopoulos
- Department of Electrical and Computer Engineering, National Technical University of Athens, 10682 Athens, Greece;
| | - Dimitra Foteinou
- First Department of Medicine, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.C.Z.); (D.F.); (H.G.)
| | - Adam Mylonakis
- First Department of Surgery, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.D.); (A.M.); (I.K.); (A.C.)
| | - Ioannis Katsaros
- First Department of Surgery, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.D.); (A.M.); (I.K.); (A.C.)
| | - Helen Gogas
- First Department of Medicine, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (D.C.Z.); (D.F.); (H.G.)
| | - Alexandros Charalabopoulos
- First Department of Surgery, School of Medicine, Laiko General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.D.); (A.M.); (I.K.); (A.C.)
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Meinikheim M, Mendel R, Palm C, Probst A, Muzalyova A, Scheppach MW, Nagl S, Schnoy E, Römmele C, Schulz DAH, Schlottmann J, Prinz F, Rauber D, Rückert T, Matsumura T, Fernández-Esparrach G, Parsa N, Byrne MF, Messmann H, Ebigbo A. Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett's esophagus: a tandem randomized and video trial. Endoscopy 2024; 56:641-649. [PMID: 38547927 DOI: 10.1055/a-2296-5696] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
BACKGROUND This study evaluated the effect of an artificial intelligence (AI)-based clinical decision support system on the performance and diagnostic confidence of endoscopists in their assessment of Barrett's esophagus (BE). METHODS 96 standardized endoscopy videos were assessed by 22 endoscopists with varying degrees of BE experience from 12 centers. Assessment was randomized into two video sets: group A (review first without AI and second with AI) and group B (review first with AI and second without AI). Endoscopists were required to evaluate each video for the presence of Barrett's esophagus-related neoplasia (BERN) and then decide on a spot for a targeted biopsy. After the second assessment, they were allowed to change their clinical decision and confidence level. RESULTS AI had a stand-alone sensitivity, specificity, and accuracy of 92.2%, 68.9%, and 81.3%, respectively. Without AI, BE experts had an overall sensitivity, specificity, and accuracy of 83.3%, 58.1%, and 71.5%, respectively. With AI, BE nonexperts showed a significant improvement in sensitivity and specificity when videos were assessed a second time with AI (sensitivity 69.8% [95%CI 65.2%-74.2%] to 78.0% [95%CI 74.0%-82.0%]; specificity 67.3% [95%CI 62.5%-72.2%] to 72.7% [95%CI 68.2%-77.3%]). In addition, the diagnostic confidence of BE nonexperts improved significantly with AI. CONCLUSION BE nonexperts benefitted significantly from additional AI. BE experts and nonexperts remained significantly below the stand-alone performance of AI, suggesting that there may be other factors influencing endoscopists' decisions to follow or discard AI advice.
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Affiliation(s)
- Michael Meinikheim
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Robert Mendel
- Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany
| | - Christoph Palm
- Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany
| | - Andreas Probst
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Anna Muzalyova
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Markus W Scheppach
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Sandra Nagl
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Elisabeth Schnoy
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Christoph Römmele
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Dominik A H Schulz
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Jakob Schlottmann
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Friederike Prinz
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - David Rauber
- Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany
| | - Tobias Rückert
- Regensburg Medical Image Computing, Ostbayerische Technische Hochschule Regensburg, Regensburg, Germany
| | - Tomoaki Matsumura
- Department of Gastroenterology, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Glòria Fernández-Esparrach
- Endoscopy Unit, Gastroenterology Department, ICMDM, Hospital Clínic de Barcelona, Barcelona, Spain
- Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Barcelona, Spain
| | - Nasim Parsa
- Division of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, United States
- Satisfai Health, Vancouver, Canada
| | - Michael F Byrne
- Satisfai Health, Vancouver, Canada
- Gastroenterology, Vancouver General Hospital, The University of British Columbia, Vancouver, Canada
| | - Helmut Messmann
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
| | - Alanna Ebigbo
- Department of Gastroenterology, University Hospital Augsburg, Augsburg, Germany
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10
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Straum S, Wollan K, Rekstad LC, Fossmark R. Esophageal cancers missed at upper endoscopy in Central Norway 2004 to 2021 - A population-based study. BMC Gastroenterol 2024; 24:279. [PMID: 39169296 PMCID: PMC11337653 DOI: 10.1186/s12876-024-03371-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 08/13/2024] [Indexed: 08/23/2024] Open
Abstract
INTRODUCTION The incidence of esophageal cancers is increasing in many Western countries and the rate of missed esophageal cancers (MEC) at upper endoscopy is of concern. We aimed to calculate the MEC rate and identify factors associated with MEC. METHODS This was a retrospective population-based cohort study including 613 patients diagnosed with esophageal cancer in Central Norway 2004-2021. MEC was defined as esophageal cancer diagnosed 6-36 months after a non-diagnostic upper endoscopy. Patient characteristics, tumor localization, histological type and cTNM stage were recorded. Symptoms, endoscopic findings, use of sedation and endoscopists experience at the endoscopy prior to esophageal cancer diagnosis and at the time of diagnosis were recorded. The association between these factors and MEC was assessed. RESULTS Forty-nine (8.0%) of 613 cancers were MEC. There was a significant increase in annual numbers of esophageal cancer (p < 0.001) as well as of MEC (p = 0.009), but MEC rate did not change significantly (p = 0.382). The median time from prior upper endoscopy to MEC diagnosis was 22.9 (12.1-28.6) months. MEC patients were older and were diagnosed with disease with a lower cTNM stage and cT category than non-missed cancers, whereas tumor localization and histological type were similar between the groups. The use of sedation or endoscopist experience did not differ between the endoscopy prior to esophageal cancer diagnosis and at the time of diagnosis. High proportions of MEC patients had Barrett's esophagus (n = 25, 51.0%), hiatus hernia (n = 26, 53.1%), esophagitis (n = 10, 20.4%) or ulceration (n = 4, 8.2%). Significant proportions of MECs were diagnosed after inappropriate follow-up of endoscopic Barrett's esophagus, histological dysplasia or ulcerations. CONCLUSIONS The annual number of MEC increased during the study period, while the MEC rate remained unchanged. Endoscopic findings related to gastroesophageal reflux disease such as esophagitis and Barrett's esophagus were identified in a high proportion of patients with subsequent MECs. Cautious follow-up of these patients could potentially reduce MEC-rate.
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Affiliation(s)
- Synne Straum
- Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU, Trondheim, Norway
| | - Karoline Wollan
- Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU, Trondheim, Norway
| | - Lars Cato Rekstad
- Department of Gastrointestinal Surgery, St Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Reidar Fossmark
- Department of Clinical and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology (NTNU, Trondheim, Norway.
- Department of Gastroenterology, St Olav's Hospital, Trondheim University Hospital, Trondheim, Norway.
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11
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Laun SE, Kann L, Braun J, Gilbert S, Lunz D, Pierre F, Kalra A, Ma K, Tsai HL, Wang H, Jit S, Cheng Y, Ahmed Y, Wang KK, Leggett CL, Cellini A, Ioffe OB, Zaidi AH, Omstead AN, Jobe B, Korman L, Cornish D, Zellenrath P, Spaander M, Kuipers E, Perpetua L, Greenwald BD, Maddala T, Meltzer SJ. Validation of an Epigenetic Prognostic Assay to Accurately Risk-Stratify Patients With Barrett Esophagus. Am J Gastroenterol 2024; 120:1296-1306. [PMID: 39140473 PMCID: PMC11825890 DOI: 10.14309/ajg.0000000000003030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 07/20/2024] [Indexed: 08/15/2024]
Abstract
INTRODUCTION Esophageal adenocarcinoma (EAC) is the second-most lethal cancer in the United States, with Barrett esophagus (BE) being the strongest risk factor. Assessing the future risk of neoplastic progression in patients with BE is difficult; however, high-grade dysplasia (HGD) and early EAC are treatable by endoscopic eradication therapy (EET), with survival rates of 90%. Thus, it would be beneficial to develop a molecular assay to identify high-risk patients, who merit more frequent endoscopic surveillance or EET, as well as low-risk patients, who can avoid EET and undergo less frequent surveillance. METHODS Deidentified endoscopic biopsies were acquired from 240 patients with BE at 6 centers and confirmed as future progressors or nonprogressors. Tissues were analyzed by a set of methylation-specific biomarker assays. Test performance was assessed in an independent validation set using 4 stratification levels: low risks, low-moderate risks, high-moderate risks, and high risks. RESULTS Relative to patients in the low-risk group, high-risk patients were 15.2 times more likely to progress within 5 years to HGD or EAC. For patients in the high-risk category, the average risk of progressing to HGD or EAC within 5 years was 21.5%, 4-fold the BE population prevalence within 5 years, whereas low-risk patients had a progression risk of only 1.85%. DISCUSSION This clinical assay, Esopredict, stratifies future neoplastic progression risk to identify higher-risk patients with BE who can benefit from EET or more frequent surveillance and lower-risk patients who can benefit from reduced surveillance.
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Affiliation(s)
| | | | | | | | | | | | - Andrew Kalra
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ke Ma
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hua-Ling Tsai
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Division of Biostatistics, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hao Wang
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Division of Biostatistics, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Simran Jit
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yulan Cheng
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yousra Ahmed
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kenneth K. Wang
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Cadman L. Leggett
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Ashley Cellini
- Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Olga B. Ioffe
- Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Ali H. Zaidi
- Esophageal Institute, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Ashten N. Omstead
- Esophageal Institute, Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | - Blair Jobe
- Department of Surgery, Esophageal Institute, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
- Department of Surgery, Drexel University, Philadelphia, Pennsylvania, USA
| | - Louis Korman
- Capital Digestive Care, Chevy Chase, Maryland, USA
| | - Drew Cornish
- Capital Digestive Care, Chevy Chase, Maryland, USA
| | - Pauline Zellenrath
- Department of Gastroenterology & Hepatology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Manon Spaander
- Department of Gastroenterology & Hepatology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Ernst Kuipers
- Department of Gastroenterology & Hepatology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Lorrie Perpetua
- Research Tissue Biorepository Core Facility, University of Connecticut, Storrs, Connecticut, USA
| | - Bruce D. Greenwald
- Division of Gastroenterology and Hepatology, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | | | - Stephen J. Meltzer
- Division of Gastroenterology and Hepatology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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12
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Reddy AT, Lee JP, Leiman DA. Measuring and improving quality in esophageal care and swallowing disorders. Dis Esophagus 2024; 37:doae013. [PMID: 38458618 DOI: 10.1093/dote/doae013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 02/13/2024] [Indexed: 03/10/2024]
Abstract
Evaluating clinical care through quality-related metrics is increasingly common. There are now numerous quality statements and indicators related to the medical management of benign and pre-malignant esophageal diseases. Expert consensus leveraging evidence-based recommendations from published society guidelines has been the most frequently used basis for developing esophageal quality statements. While surgical care of patients with esophageal malignancies, including squamous cell carcinoma, has also been developed, those related to benign esophageal disease now include domains of diagnosis, treatment, and monitoring for gastroesophageal reflux disease, eosinophilic esophagitis (EoE), achalasia, and Barrett's esophagus (BE). Several recent studies evaluating adherence to quality metrics affirm substantial variation in practice patterns with opportunities for improvement in care across esophageal diseases. In particular, patient education regarding treatment options in achalasia, frequency of esophageal biopsies among patients with dysphagia to evaluate for EoE, and endoscopic evaluation within a BE segment are areas identified to have need for improvement. As the management of esophageal diseases becomes more complex and interdisciplinary, adherence to quality metrics may be a source of standardization and improvement in delivery and ultimately patient outcomes. Indeed, the development of national quality databases has resulted in a significant growth in the use of these metrics for quality improvement activities and may form the basis for future inclusion in quality reporting and payment programs.
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Affiliation(s)
| | - Joshua P Lee
- Division of Gastroenterology, Duke University, Durham, NC, USA
| | - David A Leiman
- Division of Gastroenterology, Duke University, Durham, NC, USA
- Duke Clinical Research Institute, Durham, NC, USA
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13
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Chien S, Glen P, Penman I, Cruickshank N, Bryce G, Crumley A, Phull P, Miller M, Fletcher J, Gunjaca I, Apollos J, Robertson K, Fullarton G. Oesophageal cell collection device and biomarker testing to identify high-risk Barrett's patients requiring endoscopic investigation. Br J Surg 2024; 111:znae117. [PMID: 38736137 PMCID: PMC11089076 DOI: 10.1093/bjs/znae117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/25/2024] [Accepted: 04/11/2024] [Indexed: 05/14/2024]
Abstract
BACKGROUND Barrett's oesophagus surveillance places significant burden on endoscopy services yet is vital to detect early cancerous change. Oesophageal cell collection device (OCCD) testing was introduced across Scotland for Barrett's surveillance in response to the COVID-19 pandemic. This national pragmatic retrospective study presents the CytoSCOT programme results and evaluates whether OCCD testing is successfully identifying high-risk Barrett's patients requiring urgent endoscopy. METHODS All patients undergoing OCCD testing for Barrett's surveillance across 11 Scottish health boards over a 32-month period were identified. Patients who underwent endoscopy within 12 months of OCCD test were included. Individual patient records were interrogated to record clinical information and OCCD test result to categorize patients into risk groups. Endoscopic histopathology results were analysed according to risk group and segment length. Patients were deemed high risk if the OCCD test demonstrated atypia and/or p53 positivity. RESULTS 4204 OCCD tests were performed in 3745 patients: 608 patients underwent endoscopy within 12 months and were included in this analysis. Patients with longer Barrett's segments were significantly more likely to have an abnormal OCCD test. 50/608 patients (8.2%) had high-grade dysplasia or cancer on endoscopic biopsies: this equates to 1.3% of the total group (50/3745). 46/50 patients (92.0%) were deemed high risk, triggering urgent endoscopy: this rose to 100% with insufficient tests removed. There were no cancers diagnosed within 12 months post-OCCD in the low-risk group. CONCLUSION OCCD testing is an effective triage tool to identify high-risk patients with Barrett's oesophagus requiring further investigation with endoscopy within the real-world setting.
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Affiliation(s)
- Siobhan Chien
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Centre for Sustainable Delivery, Golden Jubilee National Hospital, Glasgow, UK
| | - Paul Glen
- Department of General Surgery, Queen Elizabeth University Hospital, Glasgow, UK
| | - Ian Penman
- Centre for Liver & Digestive Disorders, Royal Infirmary of Edinburgh, Edinburgh, UK
| | | | - Gavin Bryce
- Department of General Surgery, University Hospital Wishaw, Wishaw, UK
| | - Andrew Crumley
- Department of General Surgery, Forth Valley Royal Hospital, Larbert, UK
| | - Perminder Phull
- Department of Gastroenterology, Aberdeen Royal Infirmary, Aberdeen, UK
| | - Michael Miller
- Department of Gastroenterology, Ninewells Hospital, Dundee, UK
| | - Jonathan Fletcher
- Department of Gastroenterology, Borders General Hospital, Melrose, UK
| | - Ivan Gunjaca
- Department of Gastroenterology, Raigmore Hospital, Inverness, UK
| | - Jeyakumar Apollos
- Department of General Surgery, Dumfries & Galloway Royal Infirmary, Dumfries, UK
| | - Kevin Robertson
- Department of General Surgery, University Hospital Crosshouse, Kilmarnock, UK
| | - Grant Fullarton
- Centre for Sustainable Delivery, Golden Jubilee National Hospital, Glasgow, UK
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14
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Inoue M, Ragunath K. Quality indicators in Barrett's endoscopy: Best is yet to come. Dig Endosc 2024; 36:265-273. [PMID: 37525901 DOI: 10.1111/den.14654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 07/30/2023] [Indexed: 08/02/2023]
Abstract
There is growing interest in establishing quality indicators (QIs) for endoscopic screening and surveillance in Barrett's esophagus (BE). QIs are objective, measurable, and evidence-based metrics that are applicable in a health-care setting to monitor a process and identify key performance indicators (KPIs) to achieve defined goals. In the Barrett's endoscopy setting, QIs can offer a standardized approach to monitor and maintain high-quality endoscopy for BE screening and surveillance that will allow measuring performance of an endoscopist as an individual, a group, or a facility. Since BE is an endoscopically identifiable premalignant condition with histological corroboration, adherence to QIs is paramount for the early and accurate detection of dysplasia and neoplasia. It is the holy grail for BE screening and surveillance. Although several suggested QIs for Barrett's endoscopy exist, issues remain in determining the most appropriate ones. These issues include inconsistent use of terminology, unclear definitions, and a scarcity of studies linking these QIs with relevant patient outcomes, making it difficult for clinicians to understand the concept and clinical importance. Hence, there is an urgent need to determine what should constitute appropriate QIs for Barrett's endoscopy, clearly define items used in the QIs, and identify ways to measure these KPIs. Ultimately, well-defined and validated QIs will contribute to clinically effective, safe, timely, and patient-focused care. In this review, we summarize recent literature and discuss four proposed QIs: (i) neoplasia detection rate; (ii) postendoscopy Barrett's neoplasia; (iii) Barrett's inspection time; and (iv) adherence to the Seattle biopsy protocol.
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Affiliation(s)
- Madoka Inoue
- Curtin Medical School, Curtin University, Australia
- Department of Gastroenterology, Royal Perth Hospital, Perth, Australia
| | - Krish Ragunath
- Curtin Medical School, Curtin University, Australia
- Department of Gastroenterology, Royal Perth Hospital, Perth, Australia
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15
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Martinez-Uribe O, Becker TC, Garman KS. Promises and Limitations of Current Models for Understanding Barrett's Esophagus and Esophageal Adenocarcinoma. Cell Mol Gastroenterol Hepatol 2024; 17:1025-1038. [PMID: 38325549 PMCID: PMC11041847 DOI: 10.1016/j.jcmgh.2024.01.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/16/2024] [Accepted: 01/18/2024] [Indexed: 02/09/2024]
Abstract
BACKGROUND & AIMS This review was developed to provide a thorough and effective update on models relevant to esophageal metaplasia, dysplasia, and carcinogenesis, focusing on the advantages and limitations of different models of Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC). METHODS This expert review was written on the basis of a thorough review of the literature combined with expert interpretation of the state of the field. We emphasized advances over the years 2012-2023 and provided detailed information related to the characterization of established human esophageal cell lines. RESULTS New insights have been gained into the pathogenesis of BE and EAC using patient-derived samples and single-cell approaches. Relevant animal models include genetic as well as surgical mouse models and emphasize the development of lesions at the squamocolumnar junction in the mouse stomach. Rat models are generated using surgical approaches that directly connect the small intestine and esophagus. Large animal models have the advantage of including features in human esophagus such as esophageal submucosal glands. Alternatively, cell culture approaches remain important in the field and allow for personalized approaches, and scientific rigor can be ensured by authentication of cell lines. CONCLUSIONS Research in BE and EAC remains highly relevant given the morbidity and mortality associated with cancers of the tubular esophagus and gastroesophageal junction. Careful selection of models and inclusion of human samples whenever possible will ensure relevance to human health and disease.
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Affiliation(s)
- Omar Martinez-Uribe
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina
| | - Thomas C Becker
- Division of Endocrinology, Department of Medicine, Duke University, Durham, North Carolina
| | - Katherine S Garman
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina.
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16
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Patil DT, Goldblum JR, Lauwers G, Lewis JT, Robert M, Singer M, Odze RD. WATS 3D : An Interobserver Study of Barrett's Esophagus-Associated Dysplasia Among Gastrointestinal Pathologists. Clin Transl Gastroenterol 2024; 15:e00661. [PMID: 38088399 PMCID: PMC10887448 DOI: 10.14309/ctg.0000000000000661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/29/2023] [Indexed: 02/25/2024] Open
Abstract
INTRODUCTION Wide-area transepithelial sampling with 3-dimensional computer-assisted analysis (WATS 3D ) has been shown to increase the detection rate of dysplasia (and intestinal metaplasia) in patients with Barrett's esophagus (BE). The purpose of this study was to evaluate the interobserver variability and accuracy of diagnosing BE-associated dysplasia in WATS 3D specimens among gastrointestinal (GI) pathologists without prior experience with this technology. METHODS Five GI pathologists underwent a 4-hour in-person (at microscope) and virtual training session and then evaluated digital images of discrete cellular foci from 60 WATS 3D cases with BE (20 nondysplastic BE [NDBE], 20 low-grade dysplasia [LGD], and 20 high-grade dysplasia/esophageal adenocarcinoma [HGD/EAC]). Each case consisted of 1 hematoxylin and eosin-stained image (cell block), and 1 liquid cytology or papanicolaou-stained smear image (120 images in total). RESULTS The overall kappa value among the 5 study pathologists was excellent (overall kappa = 0.93; kappa = 0.93 and 0.97 for cell block and smear specimens, respectively). There were no significant differences noted in kappa values in interpretation of the cell block vs smear specimens or in any of the individual diagnostic categories when the latter were evaluated separately. Furthermore, agreement was perfect (100%) regarding detection of neoplasia (either LGD, HGD, or EAC). Diagnoses were made with complete confidence in 91% of instances. DISCUSSION We conclude that GI pathologists, without any prior experience in interpretation of WATS 3D specimens, can undergo a short training session and then diagnose these specimens with a very high level of accuracy and reproducibility.
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Affiliation(s)
- Deepa T. Patil
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Gregory Lauwers
- Department of Pathology, Moffitt Cancer Center, Tampa, Florida, USA
| | - Jason T. Lewis
- Department of Pathology, Mayo Clinic, Jacksonville, Florida, USA
| | - Marie Robert
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Mendel Singer
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Robert D. Odze
- Department of Pathology, Tufts University Medical Center, Boston, Massachusetts, USA
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17
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Ratcliffe E, Britton J, Yalamanchili H, Rostami I, Nadir SMH, Korani M, Eruchie I, Wazirdin MA, Prasad N, Hamdy S, McLaughlin J, Ang Y. Dedicated service for Barrett's oesophagus surveillance endoscopy yields higher dysplasia detection and guideline adherence in a non-tertiary setting in the UK: a 5-year comparative cohort study. Frontline Gastroenterol 2024; 15:21-27. [PMID: 38487558 PMCID: PMC10935534 DOI: 10.1136/flgastro-2023-102425] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 07/19/2023] [Indexed: 03/17/2024] Open
Abstract
Objective Barrett's oesophagus (BO) endoscopic surveillance is performed to varying quality, dedicated services may offer improved outcomes. This study compares a dedicated BO service to standard care, specifically dysplasia detection rate (DDR), guideline adherence and use of advanced imaging modalities in a non-tertiary setting. Design/method 5-year retrospective comparative cohort study comparing a dedicated BO endoscopy service with surveillance performed on non-dedicated slots at a non-tertiary centre in the UK. All adult patients undergoing BO surveillance between 1 March 2016 and 1 March 2021 were reviewed and those who underwent endoscopy on a dedicated BO service run by endoscopists with training in BO was compared with patients receiving their BO surveillance on any other endoscopy list. Endoscopy reports, histology results and clinic letters were reviewed for DDR and British society of gastroenterology guideline adherence. Results 921 BO procedures were included (678 patients). 574 (62%) endoscopies were on a dedicated BO list vs 348 (38%) on non-dedicated.DDR was significantly higher in the dedicated cohort 6.3% (36/568) vs 2.7% (9/337) (p=0.014). Significance was sustained when cases with indefinite for dysplasia were excluded: 4.9% 27/533 vs 0.9% 3/329 (p=0.002). Guideline adherence was significantly better on the dedicated endoscopy lists.Factors associated with dysplasia detection in regression analysis included visible lesion documentation (p=0.036), use of targeted biopsies (p=<0.001), number of biopsies obtained (p≤0.001). Conclusions A dedicated Barrett's service showed higher DDR and guideline adherence than standard care and may be beneficial pending randomised trial data.
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Affiliation(s)
- Elizabeth Ratcliffe
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
- Division of Diabetes, Endocrinology and Gastroenterology Faculty of Biology, Medicine and Health School of Medical Sciences, University of Manchester, Manchester, UK
| | - James Britton
- Gastroenterology department, Northern Care Alliance NHS Trust, Salford, UK
| | - Harika Yalamanchili
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - Izabela Rostami
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | | | - Mohamed Korani
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - Ikedichukwu Eruchie
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | | | - Neeraj Prasad
- Gastroenterology department, Wrightington Wigan and Leigh NHS Foundation Trust, Wigan, UK
| | - Shaheen Hamdy
- Division of Diabetes, Endocrinology and Gastroenterology Faculty of Biology, Medicine and Health School of Medical Sciences, University of Manchester, Manchester, UK
- Gastroenterology department, Northern Care Alliance NHS Trust, Salford, UK
| | - John McLaughlin
- Division of Diabetes, Endocrinology and Gastroenterology Faculty of Biology, Medicine and Health School of Medical Sciences, University of Manchester, Manchester, UK
- Gastroenterology department, Northern Care Alliance NHS Trust, Salford, UK
| | - Yeng Ang
- Division of Diabetes, Endocrinology and Gastroenterology Faculty of Biology, Medicine and Health School of Medical Sciences, University of Manchester, Manchester, UK
- Gastroenterology department, Northern Care Alliance NHS Trust, Salford, UK
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18
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Weusten BLAM, Bisschops R, Dinis-Ribeiro M, di Pietro M, Pech O, Spaander MCW, Baldaque-Silva F, Barret M, Coron E, Fernández-Esparrach G, Fitzgerald RC, Jansen M, Jovani M, Marques-de-Sa I, Rattan A, Tan WK, Verheij EPD, Zellenrath PA, Triantafyllou K, Pouw RE. Diagnosis and management of Barrett esophagus: European Society of Gastrointestinal Endoscopy (ESGE) Guideline. Endoscopy 2023; 55:1124-1146. [PMID: 37813356 DOI: 10.1055/a-2176-2440] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/11/2023]
Abstract
MR1 : ESGE recommends the following standards for Barrett esophagus (BE) surveillance:- a minimum of 1-minute inspection time per cm of BE length during a surveillance endoscopy- photodocumentation of landmarks, the BE segment including one picture per cm of BE length, and the esophagogastric junction in retroflexed position, and any visible lesions- use of the Prague and (for visible lesions) Paris classification- collection of biopsies from all visible abnormalities (if present), followed by random four-quadrant biopsies for every 2-cm BE length.Strong recommendation, weak quality of evidence. MR2: ESGE suggests varying surveillance intervals for different BE lengths. For BE with a maximum extent of ≥ 1 cm and < 3 cm, BE surveillance should be repeated every 5 years. For BE with a maximum extent of ≥ 3 cm and < 10 cm, the interval for endoscopic surveillance should be 3 years. Patients with BE with a maximum extent of ≥ 10 cm should be referred to a BE expert center for surveillance endoscopies. For patients with an irregular Z-line/columnar-lined esophagus of < 1 cm, no routine biopsies or endoscopic surveillance are advised.Weak recommendation, low quality of evidence. MR3: ESGE suggests that, if a patient has reached 75 years of age at the time of the last surveillance endoscopy and/or the patient's life expectancy is less than 5 years, the discontinuation of further surveillance endoscopies can be considered. Weak recommendation, very low quality of evidence. MR4: ESGE recommends offering endoscopic eradication therapy using ablation to patients with BE and low grade dysplasia (LGD) on at least two separate endoscopies, both confirmed by a second experienced pathologist.Strong recommendation, high level of evidence. MR5: ESGE recommends endoscopic ablation treatment for BE with confirmed high grade dysplasia (HGD) without visible lesions, to prevent progression to invasive cancer.Strong recommendation, high level of evidence. MR6: ESGE recommends offering complete eradication of all remaining Barrett epithelium by ablation after endoscopic resection of visible abnormalities containing any degree of dysplasia or esophageal adenocarcinoma (EAC).Strong recommendation, moderate quality of evidence. MR7: ESGE recommends endoscopic resection as curative treatment for T1a Barrett's cancer with well/moderate differentiation and no signs of lymphovascular invasion.Strong recommendation, high level of evidence. MR8: ESGE suggests that low risk submucosal (T1b) EAC (i. e. submucosal invasion depth ≤ 500 µm AND no [lympho]vascular invasion AND no poor tumor differentiation) can be treated by endoscopic resection, provided that adequate follow-up with gastroscopy, endoscopic ultrasound (EUS), and computed tomography (CT)/positrion emission tomography-computed tomography (PET-CT) is performed in expert centers.Weak recommendation, low quality of evidence. MR9: ESGE suggests that submucosal (T1b) esophageal adenocarcinoma with deep submucosal invasion (tumor invasion > 500 µm into the submucosa), and/or (lympho)vascular invasion, and/or a poor tumor differentiation should be considered high risk. Complete staging and consideration of additional treatments (chemotherapy and/or radiotherapy and/or surgery) or strict endoscopic follow-up should be undertaken on an individual basis in a multidisciplinary discussion.Strong recommendation, low quality of evidence. MR10 A: ESGE recommends that the first endoscopic follow-up after successful endoscopic eradication therapy (EET) of BE is performed in an expert center.Strong recommendation, very low quality of evidence. B: ESGE recommends careful inspection of the neo-squamocolumnar junction and neo-squamous epithelium with high definition white-light endoscopy and virtual chromoendoscopy during post-EET surveillance, to detect recurrent dysplasia.Strong recommendation, very low level of evidence. C: ESGE recommends against routine four-quadrant biopsies of neo-squamous epithelium after successful EET of BE.Strong recommendation, low level of evidence. D: ESGE suggests, after successful EET, obtaining four-quadrant random biopsies just distal to a normal-appearing neo-squamocolumnar junction to detect dysplasia in the absence of visible lesions.Weak recommendation, low level of evidence. E: ESGE recommends targeted biopsies are obtained where there is a suspicion of recurrent BE in the tubular esophagus, or where there are visible lesions suspicious for dysplasia.Strong recommendation, very low level of evidence. MR11: After successful EET, ESGE recommends the following surveillance intervals:- For patients with a baseline diagnosis of HGD or EAC:at 1, 2, 3, 4, 5, 7, and 10 years after last treatment, after which surveillance may be stopped.- For patients with a baseline diagnosis of LGD:at 1, 3, and 5 years after last treatment, after which surveillance may be stopped.Strong recommendation, low quality of evidence.
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Affiliation(s)
- Bas L A M Weusten
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Gastroenterology and Hepatology, St. Antonius Hospital Nieuwegein, Nieuwegein, The Netherlands
| | - Raf Bisschops
- Department of Gastroenterology and Hepatology, University Hospitals Leuven, TARGID, Leuven, Belgium
| | - Mario Dinis-Ribeiro
- Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto Portugal
| | - Massimiliano di Pietro
- Early Cancer Institute, University of Cambridge and Department of Gastroenterology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Oliver Pech
- Department of Gastroenterology and Interventional Endoscopy, St. John of God Hospital, Regensburg, Germany
| | - Manon C W Spaander
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Francisco Baldaque-Silva
- Advanced Endoscopy Center Carlos Moreira da Silva, Department of Gastroenterology, Pedro Hispano Hospital, Matosinhos, Portugal
- Division of Medicine, Department of Upper Gastrointestinal Diseases, Karolinska University Hospital and Karolinska Institute, Stockholm, Sweden
| | - Maximilien Barret
- Department of Gastroenterology and Digestive Oncology, Cochin Hospital and University of Paris, Paris, France
| | - Emmanuel Coron
- Institut des Maladies de l'Appareil Digestif, IMAD, Centre hospitalier universitaire Hôtel-Dieu, Nantes, Nantes, France
- Department of Gastroenterology and Hepatology, University Hospital of Geneva (HUG), Geneva, Switzerland
| | - Glòria Fernández-Esparrach
- Endoscopy Unit, Department of Gastroenterology, Hospital Clínic of Barcelona, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Biomedical Research Network on Hepatic and Digestive Diseases (CIBEREHD), Barcelona, Spain
| | - Rebecca C Fitzgerald
- Early Cancer Institute, University of Cambridge and Department of Gastroenterology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Marnix Jansen
- Department of Histopathology, University College London Hospital NHS Trust, London, UK
| | - Manol Jovani
- Division of Gastroenterology, Maimonides Medical Center, New York, New York, USA
| | - Ines Marques-de-Sa
- Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto Portugal
| | - Arti Rattan
- Department of Gastroenterology, Wollongong Hospital, Wollongong, New South Wales, Australia
| | - W Keith Tan
- Early Cancer Institute, University of Cambridge and Department of Gastroenterology, Cambridge University Hospitals NHS Trust, Cambridge, UK
| | - Eva P D Verheij
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers location University of Amsterdam, Amsterdam Gastroenterology, Endocrinology and Metabolism, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Pauline A Zellenrath
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Konstantinos Triantafyllou
- Hepatogastroenterology Unit, Second Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Attikon University General Hospital, Athens, Greece
| | - Roos E Pouw
- Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers location University of Amsterdam, Amsterdam Gastroenterology, Endocrinology and Metabolism, Cancer Center Amsterdam, Amsterdam, The Netherlands
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Davison JM, Goldblum JR, Duits LC, Khoshiwal AM, Bergman JJ, Falk GW, Diehl DL, Khara HS, Smolko C, Arora M, Siegel JJ, Critchley-Thorne RJ, Thota PN. A Tissue Systems Pathology Test Outperforms the Standard-of-Care Variables in Predicting Progression in Patients With Barrett's Esophagus. Clin Transl Gastroenterol 2023; 14:e00631. [PMID: 37622544 PMCID: PMC10684217 DOI: 10.14309/ctg.0000000000000631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
INTRODUCTION Objective risk stratification is needed for patients with Barrett's esophagus (BE) to enable risk-aligned management to improve health outcomes. This study evaluated the predictive performance of a tissue systems pathology [TSP-9] test (TissueCypher) vs current clinicopathologic variables in a multicenter cohort of patients with BE. METHODS Data from 699 patients with BE from 5 published studies on the TSP-9 test were evaluated. Five hundred nine patients did not progress during surveillance, 40 were diagnosed with high-grade dysplasia/esophageal adenocarcinoma (HGD/EAC) within 12 months, and 150 progressed to HGD/EAC after 12 months. Age, sex, segment length, hiatal hernia, original and expert pathology review diagnoses, and TSP-9 risk classes were collected. The predictive performance of clinicopathologic variables and the TSP-9 test was compared, and the TSP-9 test was evaluated in clinically relevant patient subsets. RESULTS The sensitivity of the TSP-9 test in detecting progressors was 62.3% compared with 28.3% for expert-confirmed low-grade dysplasia (LGD), while the original diagnosis abstracted from medical records did not provide any significant risk stratification. The TSP-9 test identified 57% of progressors with nondysplastic Barrett's esophagus (NDBE) ( P < 0.0001). Patients with NDBE who scored TSP-9 high risk progressed at a similar rate (3.2%/yr) to patients with expert-confirmed LGD (3.7%/yr). The TSP-9 test provided significant risk stratification in clinically low-risk patients (NDBE, female, short-segment BE) and clinically high-risk patients (IND/LGD, male, long-segment BE) ( P < 0.0001 for comparison of high-risk classes vs low-risk classes). DISCUSSION The TSP-9 test predicts risk of progression to HGD/EAC independently of current clinicopathologic variables in patients with BE. The test provides objective risk stratification results that may guide management decisions to improve health outcomes for patients with BE.
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Affiliation(s)
- Jon M. Davison
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | | | - Lucas C. Duits
- Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | | | - Gary W. Falk
- Perelman School of Medicine University of Pennsylvania, Philadelphia, Pennsylvania, USA
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20
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El-Sayed A, Salman S, Alrubaiy L. The adoption of artificial intelligence assisted endoscopy in the Middle East: challenges and future potential. Transl Gastroenterol Hepatol 2023; 8:42. [PMID: 38021356 PMCID: PMC10643188 DOI: 10.21037/tgh-23-37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 10/07/2023] [Indexed: 12/01/2023] Open
Abstract
The use of artificial intelligence (AI) in endoscopy has shown immense potential to enhance diagnostic accuracy, streamline procedures, and improve patient outcomes. There are potential uses in every field of endoscopy, from improving adenoma detection rate (ADR) in colonoscopy to reducing read time in capsule endoscopy or minimizing blind spots in gastroscopy. Indeed, some of these systems are already licensed and in commercial use across the world. In the Middle East, where healthcare systems are rapidly evolving, there is a growing interest in adopting AI technologies to revolutionise endoscopic practices. This article provides an overview of the advancements, potential opportunities and challenges associated with the implementation of AI in endoscopy within the Middle East region. Our aim is to contribute to the ongoing dialogue surrounding the implementation of AI in endoscopy and consider some of the factors that are particularly relevant in the Middle Eastern context, including the need to train the models for local populations, cost and training, as well as trying to ensure equity of access for patients. It provides valuable insights for healthcare professionals, policymakers, and researchers interested in leveraging AI to enhance endoscopic procedures, improve patient care, and address the unique healthcare needs of the Middle East population.
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Affiliation(s)
- Ahmed El-Sayed
- Gastroenterology Department, Chelsea & Westminster Hospital, London, UK
| | - Sara Salman
- University of Sheffield Medical School, Sheffield, UK
| | - Laith Alrubaiy
- Gastroenterology Department, Healthpoint Hospital, Abu Dhabi, United Arab Emirates
- College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates
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21
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Tee CHN, Ravi R, Ang TL, Li JW. Role of artificial intelligence in Barrett’s esophagus. Artif Intell Gastroenterol 2023; 4:28-35. [DOI: 10.35712/aig.v4.i2.28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/17/2023] [Accepted: 06/12/2023] [Indexed: 09/07/2023] Open
Abstract
The application of artificial intelligence (AI) in gastrointestinal endoscopy has gained significant traction over the last decade. One of the more recent applications of AI in this field includes the detection of dysplasia and cancer in Barrett’s esophagus (BE). AI using deep learning methods has shown promise as an adjunct to the endoscopist in detecting dysplasia and cancer. Apart from visual detection and diagnosis, AI may also aid in reducing the considerable interobserver variability in identifying and distinguishing dysplasia on whole slide images from digitized BE histology slides. This review aims to provide a comprehensive summary of the key studies thus far as well as providing an insight into the future role of AI in Barrett’s esophagus.
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Affiliation(s)
- Chin Hock Nicholas Tee
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore 529889, Singapore
| | - Rajesh Ravi
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore 529889, Singapore
| | - Tiing Leong Ang
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore 529889, Singapore
| | - James Weiquan Li
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore 529889, Singapore
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22
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Arif AA, Jiang SX, Byrne MF. Artificial intelligence in endoscopy: Overview, applications, and future directions. Saudi J Gastroenterol 2023; 29:269-277. [PMID: 37787347 PMCID: PMC10644999 DOI: 10.4103/sjg.sjg_286_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 08/16/2023] [Indexed: 09/15/2023] Open
Abstract
Since the emergence of artificial intelligence (AI) in medicine, endoscopy applications in gastroenterology have been at the forefront of innovations. The ever-increasing number of studies necessitates the need to organize and classify applications in a useful way. Separating AI capabilities by computer aided detection (CADe), diagnosis (CADx), and quality assessment (CADq) allows for a systematic evaluation of each application. CADe studies have shown promise in accurate detection of esophageal, gastric and colonic neoplasia as well as identifying sources of bleeding and Crohn's disease in the small bowel. While more advanced CADx applications employ optical biopsies to give further information to characterize neoplasia and grade inflammatory disease, diverse CADq applications ensure quality and increase the efficiency of procedures. Future applications show promise in advanced therapeutic modalities and integrated systems that provide multimodal capabilities. AI is set to revolutionize clinical decision making and performance of endoscopy.
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Affiliation(s)
- Arif A. Arif
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Shirley X. Jiang
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Michael F. Byrne
- Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
- Satisfai Health, Vancouver, BC, Canada
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23
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Neyaz A, Rickelt S, Yilmaz OH, Parrack PH, Lu C, Yilmaz O, Wu EY, Choi WT, Gala M, Ting DT, Odze RD, Patil DT, Deshpande V. Quantitative p53 immunostaining aids in the detection of prevalent dysplasia. J Clin Pathol 2023; 76:582-590. [PMID: 36823143 DOI: 10.1136/jcp-2022-208721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 02/02/2023] [Indexed: 02/25/2023]
Abstract
AIMS The lack of accepted scoring criteria has precluded the use of p53 in routine practice. We evaluate the utility of automated quantitative p53 analysis in risk stratifying Barrett's oesophagus (BE) patients using non-dysplastic BE (NDBE) biopsies in a multicentric cohort of BE progressor (P) and non-progressor (NP) patients. METHODS NDBE biopsies prior to the diagnosis of advanced neoplasia from 75 BE-P, and index and last surveillance biopsies from 148 BE-NP were stained for p53, and scored digitally as 1+, 2+ and 3+. A secondary cohort of 30 BE-P was evaluated. RESULTS Compared with BE-NP, BE-P was predominantly men (p=0.001), ≥55 years of age (p=0.008), with longer BE segments (71% vs 33%; p<0.001). The mean number of 3+p53 positive cells and 3+ positive glands were significantly more in BE-P versus BE-NP NDBE biopsies (175 vs 9.7, p<0.001; 9.8 vs 0.1; p<0.001, respectively). At a cut-off of ≥10 p53 (3+) positive cells, the sensitivity and specificity of the assay to identify BE-P were 39% and 93%. On multivariate analysis, scoring p53 in NDBE biopsies, age, gender and length of BE were significantly associated with neoplastic progression. 54% of patients classified as prevalent dysplasia showed an abnormal p53 immunohistochemical stain. These findings were validated in the secondary cohort. CONCLUSIONS Automated p53 analysis in NDBE biopsies serves as a promising tool for assessing BE neoplastic progression and risk stratification. Our study highlights the practical applicability of p53 assay to routine surveillance practice and its ability to detect prevalent dysplasia.
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Affiliation(s)
- Azfar Neyaz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Steffen Rickelt
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Omer H Yilmaz
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Paige H Parrack
- Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Chenyue Lu
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts, USA
| | - Osman Yilmaz
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Elizabeth Y Wu
- Pathology, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
| | - Won-Tak Choi
- Pathology, University of California, San Francisco, California, USA
| | - Manish Gala
- Department of Medicine, Gastrointestinal Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - David T Ting
- Massachusetts General Hospital Cancer Center, Boston, Massachusetts, USA
| | - Robert D Odze
- Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Deepa T Patil
- Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Vikram Deshpande
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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24
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Friedel D. Unmet needs in Barret's esophagus diagnosis and treatment: a narrative review. Transl Gastroenterol Hepatol 2023; 8:30. [PMID: 37601742 PMCID: PMC10432233 DOI: 10.21037/tgh-23-12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 06/05/2023] [Indexed: 08/22/2023] Open
Abstract
Background and Objective This narrative review discusses Barrett's esophagus management in the context of perceived deficiencies or controversies. Barrett's adenocarcinoma incidence has not clearly been impacted by Barrett's screening and surveillance. Methods The following report was derived from articles using PubMed and Google searches. The search was concentrated on Barrett's esophagus screening and management guidelines. Key Content and Findings Comprehensive literature searches that highlight potential deficiencies or controversies regarding the current approach to Barrett's esophagus were employed. Esophageal adenocarcinoma incidence is rapidly increasing and this malignancy usually presents in an advanced and unresectable state. This is despite the significant expenditure of resources and time in endoscopic screening for and surveillance of Barrett's esophagus. Thus, more widespread screening for Barrett's esophagus may be considered. In addition, there are apparent inefficiencies and precision lack in the performance of endoscopic surveillance. This relates mainly to the lack of endoscopic cues for dysplasia. On the other hand, relatively low-risk subjects have frequent screening or surveillance procedures increasing cost. Lastly, endoscopic ablation for Barrett's with dysplasia has moderately good efficacy, especially for eradication of dysplasia, but mandates intensive post-therapy endoscopic surveillance. There is some concern for subsurface development of advanced Barrett's lesions. Fortunately, there is intense research in improving Barrett's esophagus diagnosis and treatment. Our narrative review will delineate deficiencies and potential measures to remedy them. Conclusions In conclusion, screening for Barrett's esophagus and surveillance in Barrett's subjects have minimal established benefits, but proposed changes in screening practices and innovations in Barrett's esophagus endoscopic surveillance and dysplasia therapy have great promise.
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25
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Iyer PG, Chak A. Surveillance in Barrett's Esophagus: Challenges, Progress, and Possibilities. Gastroenterology 2023; 164:707-718. [PMID: 36746210 PMCID: PMC10079619 DOI: 10.1053/j.gastro.2023.01.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 02/08/2023]
Abstract
Endoscopic surveillance of Barrett's esophagus, aiming to detect prevalent dysplasia and adenocarcinoma, followed by effective endoscopic treatment, is an integral part of the esophageal adenocarcinoma prevention paradigm. However, several limitations, such as the subtle appearance of dysplasia, sampling error (inherent in current surveillance protocols), and noncompliance with surveillance recommendations, lead to missed dysplasia and neoplasia, reducing the effectiveness of surveillance as currently practiced. Careful endoscopic assessment with high-resolution white-light endoscopy, dye-based or electronic chromoendoscopy, and comprehensive sampling of the BE mucosa, remains the cornerstone of endoscopic surveillance. Emerging innovations in this area span the gamut of more efficient sampling methods, advanced imaging tools, artificial intelligence, and molecular marker-powered approaches as adjuncts, to identify prevalent and predict incident dysplasia or adenocarcinoma. Development and implementation of validated quality indicators will allow additional advancement of this critical field. These approaches will hopefully enable efficient and effective cancer prevention and treatment.
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Affiliation(s)
- Prasad G Iyer
- Barrett's Esophagus Unit, Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
| | - Amitabh Chak
- Division of Gastroenterology and Hepatology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
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26
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van der Laan JJH, van der Putten JA, Zhao X, Karrenbeld A, Peters FTM, Westerhof J, de With PHN, van der Sommen F, Nagengast WB. Optical Biopsy of Dysplasia in Barrett's Oesophagus Assisted by Artificial Intelligence. Cancers (Basel) 2023; 15:cancers15071950. [PMID: 37046611 PMCID: PMC10093622 DOI: 10.3390/cancers15071950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/17/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Optical biopsy in Barrett's oesophagus (BE) using endocytoscopy (EC) could optimize endoscopic screening. However, the identification of dysplasia is challenging due to the complex interpretation of the highly detailed images. Therefore, we assessed whether using artificial intelligence (AI) as second assessor could help gastroenterologists in interpreting endocytoscopic BE images. First, we prospectively videotaped 52 BE patients with EC. Then we trained and tested the AI pm distinct datasets drawn from 83,277 frames, developed an endocytoscopic BE classification system, and designed online training and testing modules. We invited two successive cohorts for these online modules: 10 endoscopists to validate the classification system and 12 gastroenterologists to evaluate AI as second assessor by providing six of them with the option to request AI assistance. Training the endoscopists in the classification system established an improved sensitivity of 90.0% (+32.67%, p < 0.001) and an accuracy of 77.67% (+13.0%, p = 0.020) compared with the baseline. However, these values deteriorated at follow-up (-16.67%, p < 0.001 and -8.0%, p = 0.009). Contrastingly, AI-assisted gastroenterologists maintained high sensitivity and accuracy at follow-up, subsequently outperforming the unassisted gastroenterologists (+20.0%, p = 0.025 and +12.22%, p = 0.05). Thus, best diagnostic scores for the identification of dysplasia emerged through human-machine collaboration between trained gastroenterologists with AI as the second assessor. Therefore, AI could support clinical implementation of optical biopsies through EC.
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Affiliation(s)
- Jouke J H van der Laan
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Joost A van der Putten
- Department of Electrical Engineering, Video Coding and Architectures, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Xiaojuan Zhao
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Arend Karrenbeld
- Department of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Frans T M Peters
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Jessie Westerhof
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Peter H N de With
- Department of Electrical Engineering, Video Coding and Architectures, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Fons van der Sommen
- Department of Electrical Engineering, Video Coding and Architectures, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands
| | - Wouter B Nagengast
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
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27
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Desai M, Sharma P. High quality Barrett's endoscopy: inspection time is a critical component. Endoscopy 2023; 55:499-500. [PMID: 36944358 DOI: 10.1055/a-2042-9837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Affiliation(s)
- Madhav Desai
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Minnesota Medical Center, Minneapolis, Minnesota, United States
| | - Prateek Sharma
- Division of Gastroenterology, Hepatology and Motility, Department of Internal Medicine, University of Kansas School of Medicine, Kansas City, Kansas, United States
- Department of Gastroenterology, Kansas City VA Medical Center, Kansas City, Missouri, United States
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28
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Mejza M, Małecka-Wojciesko E. Diagnosis and Management of Barrett's Esophagus. J Clin Med 2023; 12:jcm12062141. [PMID: 36983142 PMCID: PMC10057256 DOI: 10.3390/jcm12062141] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
Barrett's esophagus is a metaplastic change of esophageal mucosa, which can be characterized by its salmon-colored lining and the presence of columnar epithelium with goblet cells. It is a well-established precancerous state of esophageal adenocarcinoma, a tumor with very poor survival rates, which incidence is rapidly growing. Despite numerous research, the debate about its diagnosis and management is still ongoing. This article aims to provide an overview of the current recommendations and new discoveries regarding the subject.
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Affiliation(s)
- Maja Mejza
- Department of Digestive Tract Diseases, Medical University, 90-153 Lodz, Poland
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Stibbe JA, Hoogland P, Achterberg FB, Holman DR, Sojwal RS, Burggraaf J, Vahrmeijer AL, Nagengast WB, Rogalla S. Highlighting the Undetectable - Fluorescence Molecular Imaging in Gastrointestinal Endoscopy. Mol Imaging Biol 2023; 25:18-35. [PMID: 35764908 PMCID: PMC9971088 DOI: 10.1007/s11307-022-01741-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/08/2022] [Accepted: 05/10/2022] [Indexed: 11/27/2022]
Abstract
Flexible high-definition white-light endoscopy is the current gold standard in screening for cancer and its precursor lesions in the gastrointestinal tract. However, miss rates are high, especially in populations at high risk for developing gastrointestinal cancer (e.g., inflammatory bowel disease, Lynch syndrome, or Barrett's esophagus) where lesions tend to be flat and subtle. Fluorescence molecular endoscopy (FME) enables intraluminal visualization of (pre)malignant lesions based on specific biomolecular features rather than morphology by using fluorescently labeled molecular probes that bind to specific molecular targets. This strategy has the potential to serve as a valuable tool for the clinician to improve endoscopic lesion detection and real-time clinical decision-making. This narrative review presents an overview of recent advances in FME, focusing on probe development, techniques, and clinical evidence. Future perspectives will also be addressed, such as the use of FME in patient stratification for targeted therapies and potential alliances with artificial intelligence. KEY MESSAGES: • Fluorescence molecular endoscopy is a relatively new technology that enables safe and real-time endoscopic lesion visualization based on specific molecular features rather than on morphology, thereby adding a layer of information to endoscopy, like in PET-CT imaging. • Recently the transition from preclinical to clinical studies has been made, with promising results regarding enhancing detection of flat and subtle lesions in the colon and esophagus. However, clinical evidence needs to be strengthened by larger patient studies with stratified study designs. • In the future fluorescence molecular endoscopy could serve as a valuable tool in clinical workflows to improve detection in high-risk populations like patients with Barrett's esophagus, Lynch syndrome, and inflammatory bowel syndrome, where flat and subtle lesions tend to be malignant up to five times more often. • Fluorescence molecular endoscopy has the potential to assess therapy responsiveness in vivo for targeted therapies, thereby playing a role in personalizing medicine. • To further reduce high miss rates due to human and technical factors, joint application of artificial intelligence and fluorescence molecular endoscopy are likely to generate added value.
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Affiliation(s)
- Judith A Stibbe
- Department of Surgery, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Petra Hoogland
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Friso B Achterberg
- Department of Surgery, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Derek R Holman
- Department of Medicine, Division of Gastroenterology, Stanford University School of Medicine, Stanford, CA, USA
| | - Raoul S Sojwal
- Department of Medicine, Division of Gastroenterology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jacobus Burggraaf
- Department of Surgery, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
- Centre for Human Drug Research, Leiden, The Netherlands
| | - Alexander L Vahrmeijer
- Department of Surgery, Leiden University Medical Center, Leiden University, Leiden, The Netherlands
| | - Wouter B Nagengast
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Stephan Rogalla
- Department of Medicine, Division of Gastroenterology, Stanford University School of Medicine, Stanford, CA, USA.
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Kamran U, King D, Abbasi A, Coupland B, Umar N, Chapman WC, Hebbar S, Trudgill NJ. A root cause analysis system to establish the most plausible explanation for post-endoscopy upper gastrointestinal cancer. Endoscopy 2023; 55:109-118. [PMID: 36044914 DOI: 10.1055/a-1917-0192] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND : Missing upper gastrointestinal cancer (UGIC) at endoscopy may prevent curative treatment. We have developed a root cause analysis system for potentially missed UGICs at endoscopy (post-endoscopy UGIC [PEUGIC]) to establish the most plausible explanations. METHODS : The electronic records of patients with UGIC at two National Health Service providers were examined. PEUGICs were defined as UGICs diagnosed 6-36 months after an endoscopy that did not diagnose cancer. An algorithm based on the World Endoscopy Organization post-colonoscopy colorectal cancer algorithm was developed to categorize and identify potentially avoidable PEUGICs. RESULTS : Of 1327 UGICs studied, 89 (6.7 %) were PEUGICs (patient median [IQR] age at endoscopy 73.5 (63.5-81.0); 60.7 % men). Of the PEUGICs, 40 % were diagnosed in patients with Barrett's esophagus. PEUGICs were categorized as: A - lesion detected, adequate assessment and decision-making, but PEUGIC occurred (16.9 %); B - lesion detected, inadequate assessment or decision-making (34.8 %); C - possible missed lesion, endoscopy and decision-making adequate (8.9 %); D - possible missed lesion, endoscopy or decision-making inadequate (33.7 %); E - deviated from management pathway but appropriate (5.6 %); F - deviated inappropriately from management pathway (3.4 %). The majority of PEUGICs (71 %) were potentially avoidable and in 45 % the cancer outcome could have been different if it had been diagnosed on the initial endoscopy. There was a negative correlation between endoscopists' mean annual number of endoscopies and the technically attributable PEUGIC rate (correlation coefficient -0.57; P = 0.004). CONCLUSION : Missed opportunities to avoid PEUGIC were identified in 71 % of cases. Root cause analysis can standardize future investigation of PEUGIC and guide quality improvement efforts.
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Affiliation(s)
- Umair Kamran
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, West Bromwich, UK
| | - Dominic King
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, West Bromwich, UK
| | - Abdullah Abbasi
- Department of Gastroenterology, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK
| | - Ben Coupland
- Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Nosheen Umar
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, West Bromwich, UK
| | - Warren C Chapman
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, West Bromwich, UK
| | - Srisha Hebbar
- Department of Gastroenterology, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, UK
| | - Nigel J Trudgill
- Department of Gastroenterology, Sandwell and West Birmingham NHS Trust, West Bromwich, UK
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Meinikheim M, Messmann H, Ebigbo A. Role of artificial intelligence in diagnosing Barrett's esophagus-related neoplasia. Clin Endosc 2023; 56:14-22. [PMID: 36646423 PMCID: PMC9902686 DOI: 10.5946/ce.2022.247] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/25/2022] [Indexed: 01/18/2023] Open
Abstract
Barrett's esophagus is associated with an increased risk of adenocarcinoma. Thorough screening during endoscopic surveillance is crucial to improve patient prognosis. Detecting and characterizing dysplastic or neoplastic Barrett's esophagus during routine endoscopy are challenging, even for expert endoscopists. Artificial intelligence-based clinical decision support systems have been developed to provide additional assistance to physicians performing diagnostic and therapeutic gastrointestinal endoscopy. In this article, we review the current role of artificial intelligence in the management of Barrett's esophagus and elaborate on potential artificial intelligence in the future.
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Affiliation(s)
- Michael Meinikheim
- Department of Gastroenterology, University Hospital of Augsburg, Augsburg, Germany,Correspondence: Michael Meinikheim Department of Gastroenterology, University Hospital of Augsburg, Stenglinstr. 2, D-86156 Augsburg, Germany E-mail:
| | - Helmut Messmann
- Department of Gastroenterology, University Hospital of Augsburg, Augsburg, Germany
| | - Alanna Ebigbo
- Department of Gastroenterology, University Hospital of Augsburg, Augsburg, Germany
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High rate of missed Barrett's esophagus when screening with forceps biopsies. Esophagus 2023; 20:143-149. [PMID: 35864425 PMCID: PMC9813185 DOI: 10.1007/s10388-022-00943-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 07/11/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Screening for Barrett's esophagus (BE) with endoscopy plus forceps biopsy (FB) has poor compliance with the recommended Seattle protocol and fails to sample large areas of mucosa. This statistical modeling study estimates, for the first time, the actual frequency of missed BE cases by FB. METHODS Published, calibrated models in the literature were combined to calculate the age-specific prevalence of BE in white males with gastroesophageal reflux disease (GERD). We started with estimates of the prevalence of BE and GERD, and applied the relative risk for BE in patients with GERD based on the literature. This created estimates of the true prevalence of BE in white males with GERD by decade of life. The proportion of BE missed was calculated as the difference between the prevalence and the proportion with a positive screen. RESULTS The prevalence of BE in white males with GERD was 8.9%, 12.1%, 15.3%, 18.7% and 22.0% for the third through eighth decades of life. Even after assuming no false positives, missed cases of BE were about 50% when estimated for patients of ages 50 or 60 years, and over 60% for ages of 30, 40 or 70 years. Sensitivity analysis was done for all variables in the model calculations. For ages 50 and 60 years, this resulted in values from 30.3 to 57.3% and 36.4 to 60.9%. CONCLUSION Screening for BE with endoscopy and FB misses approximately 50% of BE cases. More sensitive methods of BE detection or better adherence to the Seattle protocol are needed.
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Cruz JDC, Paculdo D, Ganesan D, Baker M, Critchley-Thorne RJ, Shaheen NJ, Wani S, Peabody JW. Clinical variation in surveillance and management of Barrett's esophagus: A cross-sectional study of gastroenterologists and gastrointestinal surgeons. Medicine (Baltimore) 2022; 101:e32187. [PMID: 36595793 PMCID: PMC9794215 DOI: 10.1097/md.0000000000032187] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Appropriate surveillance and treatment of Barrett's esophagus (BE) is vital to prevent disease progression and decrease esophageal adenocarcinoma (EAC)-related mortality. We sought to determine the variation in BE care and identify improvement opportunities. 275 physicians (113 general gastroenterologists, 128 interventional gastroenterologists, 34 gastrointestinal surgeons) cared for 3 simulated patients, one each from 3 BE clinical scenarios: non-dysplastic BE (NDBE), BE indefinite for dysplasia (IND), and BE with low grade dysplasia (LGD), and care scores were measured against societal guidelines. Overall quality-of-care scores ranged from 17% to 85% with mean of 47.9% ± 11.8% for NDBE, 50.8% ± 11.7% for IND, and 52.7% ± 12.2% for LGD. Participants appropriately determined risk of progression 20.3% of the time: 14.4% for NDBE cases, 19.9% for LGD cases, and 26.8% for IND cases (P = .001). Treatment and follow-up care scores averaged 12.9% ± 17.5% overall. For the LGD cases, guideline-recommended twice-daily PPI treatment was ordered only 24.7% of the time. Guideline-based follow-up endoscopic surveillance was done in only 27.7% of NDBE cases and 32.7% of IND cases. For the LGD cases, 45.4% ordered endoscopic eradication therapy while 25.1% chose annual endoscopic surveillance. Finally, participants provided counseling on lifestyle modifications in just 20% of cases. Overall care of patients diagnosed with BE varied widely and showed room for improvement. Specific opportunities for improvement were adherence to guideline recommended surveillance intervals, patient counseling, and treatment selection for LGD. Physicians would potentially benefit from additional BE education, endoscopic advances, and better methods for risk stratification.
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Affiliation(s)
| | | | | | | | | | | | - Sachin Wani
- University of Colorado Anschutz Medical Center, Aurora, CO
| | - John W Peabody
- QURE Healthcare, San Francisco, CA
- University of California, San Francisco, CA
- University of California, Los Angeles, CA
- *Correspondence: John W Peabody QURE Healthcare, 450 Pacific Avenue, Suite 200, San Francisco, CA 94133 (e-mail: )
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Barroux M, Horstmann J, Fricke L, Schömig L, Werner M, Kraynova E, Kamarádová K, Fléjou JF, Maerkel B, Kumarasinghe MP, Vieth M, Westerhoff M, Patil DT, Steiger K, Becker KF, Weichert W, Schmid RM, Quante M, Slotta-Huspenina J. Histological evaluation of PAXgene tissue fixation in Barrett’s esophagus and esophageal adenocarcinoma diagnostics. Virchows Arch 2022; 482:887-898. [PMID: 36527466 PMCID: PMC10156762 DOI: 10.1007/s00428-022-03471-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/01/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022]
Abstract
Abstract
The dysplasia grading of Barrett’s esophagus (BE), based on the histomorphological assessment of formalin-fixed, paraffin-embedded (FFPE) tissue, suffers from high interobserver variability leading to an unsatisfactory prediction of cancer risk. Thus, pre-analytic preservation of biological molecules, which could improve risk prediction in BE enabling molecular and genetic analysis, is needed. We aimed to evaluate such a molecular pre-analytic fixation tool, PAXgene-fixed paraffin-embedded (PFPE) biopsies, and their suitability for histomorphological BE diagnostics in comparison to FFPE. In a ring trial, 9 GI pathologists evaluated 116 digital BE slides of non-dysplastic BE (NDBE), low-grade dysplasia (LGD), high-grade dysplasia (HGD), and esophageal adenocarcinomas (EAC) using virtual microscopy. Overall quality, cytological and histomorphological parameters, dysplasia criteria, and diagnosis were analyzed. PFPE showed better preservation of nuclear details as chromatin and nucleoli, whereas overall quality and histomorphologic parameters as visibility of basal lamina, goblet cells, and presence of artifacts were scored as equal to FFPE. The interobserver reproducibility with regard to the diagnosis was best for NDBE and EAC (κF = 0.72–0.75) and poor for LGD and HGD (κF = 0.13–0.3) in both. In conclusion, our data suggest that PFPE allows equally confident histomorphological diagnosis of BE and EAC, introducing a novel tool for molecular analysis and parallel histomorphological evaluation.
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Affiliation(s)
- Melissa Barroux
- Klinikum Rechts Der Isar, Medical Clinic and Polyclinic II, Technical University of Munich, Munich, Germany.
| | - Julia Horstmann
- Klinikum Rechts Der Isar, Medical Clinic and Polyclinic II, Technical University of Munich, Munich, Germany
| | - Lisa Fricke
- Klinikum Rechts Der Isar, Medical Clinic and Polyclinic II, Technical University of Munich, Munich, Germany
| | - Linus Schömig
- Department of Medicine II, Universitaetsklinikum Freiburg, Freiburg, Germany
| | - Martin Werner
- Institute for Surgical Pathology, Medical Center-University of Freiburg and Faculty of Medicine, University of Freiburg, 79106, Freiburg, Germany
| | - Ekaterina Kraynova
- Department of Pathology, Yaroslavl Regional Cancer Hospital, Yaroslavl, Russian Federation
| | - Katerina Kamarádová
- The Fingerland Department of Pathology, Faculty of Medicine and University Hospital, Charles University, Hradec Králové, Czech Republic
| | - Jean-François Fléjou
- Service d'Anatomie Pathologique, AP-HP, Faculté de Médecine Sorbonne, Hôpital Saint-Antoine, Université, 75012, Paris, France
| | - Bruno Maerkel
- Institute of Pathology and Molecular Diagnostics, University Medical Center Augsburg, Augsburg, Germany
| | - M Priyanthi Kumarasinghe
- Department of Pathology, PathWest Laboratory-University of Western Australia, WA, Perth, Australia
| | - Michael Vieth
- Institute for Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Klinikum Bayreuth, Bayreuth, Germany
| | | | - Deepa T Patil
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, USA
| | - Katja Steiger
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | | | - Wilko Weichert
- Institute of Pathology, Technical University of Munich, Munich, Germany
| | - Roland M Schmid
- Klinikum Rechts Der Isar, Medical Clinic and Polyclinic II, Technical University of Munich, Munich, Germany
| | - Michael Quante
- Klinikum Rechts Der Isar, Medical Clinic and Polyclinic II, Technical University of Munich, Munich, Germany
- Department of Medicine II, Universitaetsklinikum Freiburg, Freiburg, Germany
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Messmann H, Bisschops R, Antonelli G, Libânio D, Sinonquel P, Abdelrahim M, Ahmad OF, Areia M, Bergman JJGHM, Bhandari P, Boskoski I, Dekker E, Domagk D, Ebigbo A, Eelbode T, Eliakim R, Häfner M, Haidry RJ, Jover R, Kaminski MF, Kuvaev R, Mori Y, Palazzo M, Repici A, Rondonotti E, Rutter MD, Saito Y, Sharma P, Spada C, Spadaccini M, Veitch A, Gralnek IM, Hassan C, Dinis-Ribeiro M. Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement. Endoscopy 2022; 54:1211-1231. [PMID: 36270318 DOI: 10.1055/a-1950-5694] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
This ESGE Position Statement defines the expected value of artificial intelligence (AI) for the diagnosis and management of gastrointestinal neoplasia within the framework of the performance measures already defined by ESGE. This is based on the clinical relevance of the expected task and the preliminary evidence regarding artificial intelligence in artificial or clinical settings. MAIN RECOMMENDATIONS:: (1) For acceptance of AI in assessment of completeness of upper GI endoscopy, the adequate level of mucosal inspection with AI should be comparable to that assessed by experienced endoscopists. (2) For acceptance of AI in assessment of completeness of upper GI endoscopy, automated recognition and photodocumentation of relevant anatomical landmarks should be obtained in ≥90% of the procedures. (3) For acceptance of AI in the detection of Barrett's high grade intraepithelial neoplasia or cancer, the AI-assisted detection rate for suspicious lesions for targeted biopsies should be comparable to that of experienced endoscopists with or without advanced imaging techniques. (4) For acceptance of AI in the management of Barrett's neoplasia, AI-assisted selection of lesions amenable to endoscopic resection should be comparable to that of experienced endoscopists. (5) For acceptance of AI in the diagnosis of gastric precancerous conditions, AI-assisted diagnosis of atrophy and intestinal metaplasia should be comparable to that provided by the established biopsy protocol, including the estimation of extent, and consequent allocation to the correct endoscopic surveillance interval. (6) For acceptance of artificial intelligence for automated lesion detection in small-bowel capsule endoscopy (SBCE), the performance of AI-assisted reading should be comparable to that of experienced endoscopists for lesion detection, without increasing but possibly reducing the reading time of the operator. (7) For acceptance of AI in the detection of colorectal polyps, the AI-assisted adenoma detection rate should be comparable to that of experienced endoscopists. (8) For acceptance of AI optical diagnosis (computer-aided diagnosis [CADx]) of diminutive polyps (≤5 mm), AI-assisted characterization should match performance standards for implementing resect-and-discard and diagnose-and-leave strategies. (9) For acceptance of AI in the management of polyps ≥ 6 mm, AI-assisted characterization should be comparable to that of experienced endoscopists in selecting lesions amenable to endoscopic resection.
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Affiliation(s)
- Helmut Messmann
- III Medizinische Klinik, Universitatsklinikum Augsburg, Augsburg, Germany
| | - Raf Bisschops
- Department of Gastroenterology and Hepatology, Catholic University of Leuven (KUL), TARGID, University Hospital Leuven, Leuven, Belgium
| | - Giulio Antonelli
- Gastroenterology and Digestive Endoscopy Unit, Ospedale dei Castelli Hospital, Ariccia, Rome, Italy
- Department of Anatomical, Histological, Forensic Medicine and Orthopedics Sciences, Sapienza University of Rome, Italy
| | - Diogo Libânio
- Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto, Portugal
- MEDCIDS, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Pieter Sinonquel
- Department of Gastroenterology and Hepatology, Catholic University of Leuven (KUL), TARGID, University Hospital Leuven, Leuven, Belgium
| | - Mohamed Abdelrahim
- Endoscopy Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Omer F Ahmad
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK
- Division of Surgery and Interventional Sciences, University College London Hospital, London, UK
- Gastrointestinal Services, University College London Hospital, London, UK
| | - Miguel Areia
- Gastroenterology Department, Portuguese Oncology Institute of Coimbra, Coimbra, Portugal
| | | | - Pradeep Bhandari
- Endoscopy Department, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - Ivo Boskoski
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Evelien Dekker
- Department of Gastroenterology and Hepatology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Dirk Domagk
- Department of Medicine I, Josephs-Hospital Warendorf, Academic Teaching Hospital, University of Muenster, Warendorf, Germany
| | - Alanna Ebigbo
- III Medizinische Klinik, Universitatsklinikum Augsburg, Augsburg, Germany
| | - Tom Eelbode
- Department of Electrical Engineering (ESAT/PSI), Medical Imaging Research Center, KU Leuven, Leuven, Belgium
| | - Rami Eliakim
- Department of Gastroenterology, Sheba Medical Center Tel Hashomer & Sackler School of Medicine, Tel-Aviv University, Ramat Gan, Israel
| | - Michael Häfner
- 2nd Medical Department, Barmherzige Schwestern Krankenhaus, Vienna, Austria
| | - Rehan J Haidry
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK
- Division of Surgery and Interventional Sciences, University College London Hospital, London, UK
| | - Rodrigo Jover
- Servicio de Gastroenterología, Hospital General Universitario Dr. Balmis, Instituto de Investigación Biomédica de Alicante ISABIAL, Departamento de Medicina Clínica, Universidad Miguel Hernández, Alicante, Spain
| | - Michal F Kaminski
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland
- Department of Oncological Gastroenterology and Department of Cancer Prevention, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Roman Kuvaev
- Endoscopy Department, Yaroslavl Regional Cancer Hospital, Yaroslavl, Russian Federation
- Department of Gastroenterology, Faculty of Additional Professional Education, N.A. Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Yuichi Mori
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
| | | | - Alessandro Repici
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | | | - Matthew D Rutter
- North Tees and Hartlepool NHS Foundation Trust, Stockton-on-Tees, UK
- Population Health Sciences Institute, Newcastle University, Newcastle, UK
| | - Yutaka Saito
- Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan
| | - Prateek Sharma
- Gastroenterology and Hepatology Division, University of Kansas School of Medicine, Kansas, USA
- Kansas City VA Medical Center, Kansas City, USA
| | - Cristiano Spada
- Digestive Endoscopy Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Digestive Endoscopy, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy
| | - Marco Spadaccini
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Andrew Veitch
- Department of Gastroenterology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK
| | - Ian M Gralnek
- Ellen and Pinchas Mamber Institute of Gastroenterology and Hepatology, Emek Medical Center, Afula, Israel
- Rappaport Faculty of Medicine, Technion Israel Institute of Technology, Haifa, Israel
| | - Cesare Hassan
- Department of Biomedical Sciences, Humanitas University, Rozzano, Milan, Italy
- IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Mario Dinis-Ribeiro
- Department of Gastroenterology, Porto Comprehensive Cancer Center, and RISE@CI-IPOP (Health Research Network), Porto, Portugal
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Trindade AJ. Centralized care for the management of Barrett's esophagus: the path forward or just an academic dream? Endoscopy 2022; 54:945-947. [PMID: 35668662 DOI: 10.1055/a-1843-9682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Arvind J Trindade
- Division of Gastroenterology, Long Island Jewish Medical Center, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, New Hyde Park, New York, United States.,Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, New York, United States
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Kahn A, McKinley MJ, Stewart M, Wang KK, Iyer PG, Leggett CL, Trindade AJ. Artificial intelligence-enhanced volumetric laser endomicroscopy improves dysplasia detection in Barrett's esophagus in a randomized cross-over study. Sci Rep 2022; 12:16314. [PMID: 36175457 PMCID: PMC9523020 DOI: 10.1038/s41598-022-20610-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 09/15/2022] [Indexed: 12/03/2022] Open
Abstract
Volumetric laser endomicroscopy (VLE) is an advanced endoscopic imaging tool that can improve dysplasia detection in Barrett’s esophagus (BE). However, VLE scans generate 1200 cross-sectional images that can make interpretation difficult. The impact of a new VLE artificial intelligence algorithm called Intelligent Real-time Image Segmentation (IRIS) is not well-characterized. This is a randomized prospective cross-over study of BE patients undergoing endoscopy who were randomized to IRIS-enhanced or unenhanced VLE first followed by the other (IRIS-VLE vs. VLE-IRIS, respectively) at expert BE centers. The primary outcome was image interpretation time, which served as a surrogate measure for ease of interpretation. The secondary outcome was diagnostic yield of dysplasia for each imaging modality. 133 patients were enrolled. 67 patients were randomized to VLE-IRIS and 66 to IRIS-VLE. Total interpretation time did not differ significantly between groups (7.8 min VLE-IRIS vs. 7 min IRIS-VLE, P = 0.1), however unenhanced VLE interpretation time was significantly shorter in the IRIS-VLE group (2.4 min vs. 3.8 min, P < 0.01). When IRIS was used first, 100% of dysplastic areas were identified, compared with 76.9% when VLE was the first interpretation modality (P = 0.06). IRIS-enhanced VLE reduced the time of subsequent unenhanced VLE interpretation, suggesting heightened efficiency and improved dysplasia detection. It was also able to identify all endoscopically non-visible dysplastic areas.
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Affiliation(s)
- Allon Kahn
- Division of Gastroenterology and Hepatology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Matthew J McKinley
- Division of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, 270-05 76th Avenue, New Hyde Park, NY, 11040, USA
| | - Molly Stewart
- Division of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, 270-05 76th Avenue, New Hyde Park, NY, 11040, USA.,Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Kenneth K Wang
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Prasad G Iyer
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Cadman L Leggett
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - Arvind J Trindade
- Division of Gastroenterology, Zucker School of Medicine at Hofstra/Northwell, Long Island Jewish Medical Center, 270-05 76th Avenue, New Hyde Park, NY, 11040, USA. .,Institute of Health Innovations and Outcomes Research, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA.
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Desai M, Lieberman D, Srinivasan S, Nutalapati V, Challa A, Kalgotra P, Sundaram S, Repici A, Hassan C, Kaminski MF, Sharma P. Post-endoscopy Barrett's neoplasia after a negative index endoscopy: a systematic review and proposal for definitions and performance measures in endoscopy. Endoscopy 2022; 54:881-889. [PMID: 34979570 DOI: 10.1055/a-1729-8066] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND A high rate of neoplasia, both high grade dysplasia (HGD) and esophageal adenocarcinoma (EAC) has been reported in Barrett's esophagus at index endoscopy, but precise rates of post-endoscopy Barrett's neoplasia (PEBN) are unknown. METHODS A systematic review and meta-analysis was performed examining electronic databases (inception to October 2021) for studies reporting PEBN. Consistent with the definitions of post-colonoscopy colorectal cancer proposed by the World Endoscopy Organization, we defined neoplasia (HGD/EAC) detected at index endoscopy and/or within 6 months of a negative index endoscopy as "prevalent" neoplasia, that detected after 6 months of a negative index endoscopy and prior to next surveillance interval (i. e. 3 years) as PEBN or "interval" neoplasia, and that detected after 36 months from a negative index endoscopy as "incident" neoplasia. The pooled incidence rates and proportions relative to total neoplasia were analyzed. RESULTS 11 studies (n = 59 795; 61 % men; mean [SD] age 62.3 [3.3] years) met the inclusion criteria. The pooled incidence rates were: prevalent neoplasia 4.5 % (95 %CI 2.2 %-8.9 %) at baseline and an additional 0.3 % (0.1 %-0.7 %) within the first 6 months, PEBN 0.52 % (0.46 %-0.58 %), and incident neoplasia 1.4 % (0.9 %-2.1 %). At 3 years from the index endoscopy, PEBN accounted for 3 % of total Barrett's neoplasia, while prevalent neoplasia accounted for 97 %. CONCLUSION Neoplasia detected at or within 6 months of index endoscopy accounts for most cases of Barrett's neoplasia (> 90 %). PEBN accounts for ~3 % of cases and can be used for validation in future. This highlights the importance of a high quality index endoscopy in Barrett's esophagus and the need to establish quality benchmarks to measure endoscopists' performance.
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Affiliation(s)
- Madhav Desai
- Department of Gastroenterology, Kansas City VA Medical Center, Kansas City, Missouri, USA.,Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - David Lieberman
- Department of Gastroenterology and Hepatology, Oregon Health and Science University, Portland, Oregon, USA
| | - Sachin Srinivasan
- Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Venkat Nutalapati
- Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Abhishek Challa
- Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA
| | - Pankush Kalgotra
- Raymond J. Harbert College of Business, Auburn University, Auburn, Alabama, USA
| | - Suneha Sundaram
- Department of Gastroenterology, Kansas City VA Medical Center, Kansas City, Missouri, USA.,Department of Medicine, St. Peter's University Hospital, New Brunswick, New Jersey, USA
| | - Alessandro Repici
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.,IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Cesare Hassan
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy.,IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
| | - Michal F Kaminski
- Department of Gastroenterological Oncology, Maria Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, and Department of Gastroenterology, Hepatology and Oncology, Medical Centre for Postgraduate Education, Warsaw, Poland.,Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Prateek Sharma
- Department of Gastroenterology, Kansas City VA Medical Center, Kansas City, Missouri, USA.,Department of Gastroenterology and Hepatology, University of Kansas Medical Center, Kansas City, Kansas, USA
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Abstract
IMPORTANCE Barrett esophagus is characterized by the replacement of normal esophageal squamous cell epithelium with columnar metaplasia and affects approximately 5% of people in the US and approximately 1% worldwide. Approximately 3% to 5% of patients with Barrett esophagus will be diagnosed with esophageal adenocarcinoma in their lifetime. OBSERVATIONS Barrett esophagus affects approximately 2.3% to 8.3% of people with gastroesophageal reflux disease (GERD) and approximately 1.2% to 5.6% of people without GERD. Characteristics associated with Barrett esophagus include older age (prevalence of approximately 1.1% in individuals older than 50 years compared with 0.3% in those 50 years or younger), male sex, and smoking (prevalence of approximately 12% in people who smoke cigarettes compared with 1.1% in those who do not smoke cigarettes). The histopathology of Barrett esophagus progresses from metaplasia to dysplasia and, without treatment, can progress to adenocarcinoma. People with Barrett esophagus have approximately a 0.2% to 0.5% annual rate of developing esophageal adenocarcinoma. Management of Barrett esophagus primarily consists of acid-suppressive medications to reduce underlying GERD symptoms and surveillance endoscopy every 3 to 5 years. In patients with Barrett esophagus and dysplasia or early cancer, endoscopic therapy consisting of resection and ablation successfully treats 80% to 90% of patients. CONCLUSIONS AND RELEVANCE Barrett esophagus affects approximately 5% of people in the US and approximately 1% worldwide and is associated with an increased risk of esophageal adenocarcinoma. First-line therapy for Barrett esophagus consists of proton-pump inhibitors for control of reflux symptoms, but their role in chemoprevention is unclear. Surveillance with upper endoscopy is recommended by practice guidelines to monitor for progression to esophageal adenocarcinoma, but randomized clinical trials are lacking.
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Affiliation(s)
- Prateek Sharma
- University of Kansas School of Medicine, VA Medical Center, Kansas City, Kansas
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Vajravelu RK, Kolb JM, Thanawala SU, Scott FI, Han S, Singal AG, Falk GW, Katzka DA, Wani S. Characterization of Prevalent, Post-Endoscopy, and Incident Esophageal Cancer in the United States: A Large Retrospective Cohort Study. Clin Gastroenterol Hepatol 2022; 20:1739-1747. [PMID: 33549872 PMCID: PMC8895727 DOI: 10.1016/j.cgh.2021.02.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 01/26/2021] [Accepted: 02/02/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Efforts to assess and improve the effectiveness of Barrett's esophagus (BE) screening and surveillance are ongoing in the United States. Currently, there are limited population-based data in the United States to guide these efforts. METHODS We performed a retrospective cohort study using data from large commercial and Medicare Advantage health plans in the United States from 2004 - 2019. We identified individuals with BE and analyzed the proportion who developed EAC. EACs were classified as prevalent EAC (diagnosed within 30 days of index endoscopy), post-endoscopy esophageal adenocarcinoma (PEEC, diagnosed 30 - 365 days after index endoscopy), and incident EAC (diagnosed 365 days or more after index endoscopy). Using this cohort, we performed a nested case-control study to identify factors associated with prevalent EAC at BE diagnosis and study healthcare utilization prior to BE diagnosis. RESULTS We identified 50,817 individuals with incident BE. Of the 366 who developed EAC, 67.2%, 13.7%, and 19.1% were diagnosed with prevalent EAC, PEEC, and incident EAC respectively. Factors positively associated with prevalent EAC versus BE without prevalent EAC included male sex, dysphagia, weight loss, and Charlson-Deyo comorbidity score. In those with prevalent EAC, most patients with dysphagia or weight loss had their symptoms first recorded within three months of EAC diagnosis. Healthcare utilization rates were similar between those with and without prevalent EAC. CONCLUSIONS Two-thirds of EACs among individuals with BE are diagnosed at the time of BE diagnosis. Additionally, PEEC accounts for 14% of these EACs. These results may guide future research studies that investigate novel BE diagnostic strategies that reduce the morbidity and mortality of EAC.
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Affiliation(s)
- Ravy K. Vajravelu
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jennifer M. Kolb
- Division of Gastroenterology, University of California Irvine, Irvine, California, USA
| | - Shivani U. Thanawala
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Frank I. Scott
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Samuel Han
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State College of Medicine, Columbus, Ohio, USA
| | - Amit G. Singal
- Division of Gastroenterology and Hepatology, University of Texas Southwestern Medical School, Dallas, Texas, USA
| | - Gary W. Falk
- Division of Gastroenterology and Hepatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A. Katzka
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Sachin Wani
- Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
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Hussein M, González‐Bueno Puyal J, Lines D, Sehgal V, Toth D, Ahmad OF, Kader R, Everson M, Lipman G, Fernandez‐Sordo JO, Ragunath K, Esteban JM, Bisschops R, Banks M, Haefner M, Mountney P, Stoyanov D, Lovat LB, Haidry R. A new artificial intelligence system successfully detects and localises early neoplasia in Barrett's esophagus by using convolutional neural networks. United European Gastroenterol J 2022; 10:528-537. [PMID: 35521666 PMCID: PMC9278593 DOI: 10.1002/ueg2.12233] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Accepted: 03/31/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND AIMS Seattle protocol biopsies for Barrett's Esophagus (BE) surveillance are labour intensive with low compliance. Dysplasia detection rates vary, leading to missed lesions. This can potentially be offset with computer aided detection. We have developed convolutional neural networks (CNNs) to identify areas of dysplasia and where to target biopsy. METHODS 119 Videos were collected in high-definition white light and optical chromoendoscopy with i-scan (Pentax Hoya, Japan) imaging in patients with dysplastic and non-dysplastic BE (NDBE). We trained an indirectly supervised CNN to classify images as dysplastic/non-dysplastic using whole video annotations to minimise selection bias and maximise accuracy. The CNN was trained using 148,936 video frames (31 dysplastic patients, 31 NDBE, two normal esophagus), validated on 25,161 images from 11 patient videos and tested on 264 iscan-1 images from 28 dysplastic and 16 NDBE patients which included expert delineations. To localise targeted biopsies/delineations, a second directly supervised CNN was generated based on expert delineations of 94 dysplastic images from 30 patients. This was tested on 86 i-scan one images from 28 dysplastic patients. FINDINGS The indirectly supervised CNN achieved a per image sensitivity in the test set of 91%, specificity 79%, area under receiver operator curve of 93% to detect dysplasia. Per-lesion sensitivity was 100%. Mean assessment speed was 48 frames per second (fps). 97% of targeted biopsy predictions matched expert and histological assessment at 56 fps. The artificial intelligence system performed better than six endoscopists. INTERPRETATION Our CNNs classify and localise dysplastic Barrett's Esophagus potentially supporting endoscopists during surveillance.
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Affiliation(s)
- Mohamed Hussein
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Juana González‐Bueno Puyal
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Odin VisionLondonUK
| | | | - Vinay Sehgal
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | | | - Omer F. Ahmad
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Rawen Kader
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
| | - Martin Everson
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
| | - Gideon Lipman
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
| | | | - Krish Ragunath
- NIHR Nottingham Digestive Diseases Biomedical Research CentreNottinghamUK
| | | | | | - Matthew Banks
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | | | | | - Danail Stoyanov
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
| | - Laurence B. Lovat
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
| | - Rehan Haidry
- Division of Surgery and Interventional SciencesUniversity College LondonLondonUK
- Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)University College LondonLondonUK
- Department of GastroenterologyUniversity College London HospitalLondonUK
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42
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Thota PN, Nasibli J, Kumar P, Sanaka MR, Chak A, Zhang X, Liu X, Uttam S, Liu Y. Prediction of neoplastic progression in Barrett's esophagus using nanoscale nuclear architecture mapping: a pilot study. Gastrointest Endosc 2022; 95:1239-1246. [PMID: 35065946 PMCID: PMC9296222 DOI: 10.1016/j.gie.2022.01.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 01/09/2022] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Nanoscale nuclear architecture mapping (nanoNAM), an optical coherence tomography-derived approach, is capable of detecting with nanoscale sensitivity structural alterations in the chromatin of epithelial cell nuclei at risk for malignant transformation. Because these alterations predate the development of dysplasia, we aimed to use nanoNAM to identify patients with Barrett's esophagus (BE) who might progress to high-grade dysplasia (HGD) or esophageal adenocarcinoma (EAC). METHODS This is a nested case-control study of 46 BE patients, of which 21 progressed to HGD/EAC over 3.7 ± 2.37 years (cases/progressors) and 25 patients who did not progress over 6.3 ± 3.1 years (control subjects/nonprogressors). The archived formalin-fixed paraffin-embedded tissue blocks collected as part of standard clinical care at the index endoscopy were used. nanoNAM imaging was performed on a 5-μm formalin-fixed paraffin-embedded section, and each nucleus was mapped to a 3-dimensional (3D) depth-resolved optical path difference (drOPD) nuclear representation, quantifying nanoscale-sensitive alterations in the 3D nuclear architecture of the cell. Using 3D-drOPD representation of each nucleus, we computed 12 patient-level nanoNAM features summarizing the alterations in intrinsic nuclear architecture. A risk prediction model was built incorporating nanoNAM features and clinical features. RESULTS A statistically significant differential shift was observed in the drOPD cumulative distributions between progressors and nonprogressors. Of the 12 nanoNAM features, 6 (mean-maximum, mean-mean, mean-median, entropy-median, entropy-entropy, entropy-skewness) showed a statistically significant difference between cases and control subjects. NanoNAM features based prediction model identified progression in independent validation sets, with an area under the receiver operating characteristic curve of 80.8% ± .35% (mean ± standard error), with an increase to 82.54% ± .46% when combined with length of the BE segment. CONCLUSIONS NanoNAM can serve as an adjunct to histopathologic evaluation of BE patients and aid in risk stratification.
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Affiliation(s)
- Prashanthi N. Thota
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jalil Nasibli
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Prabhat Kumar
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Madhusudhan R. Sanaka
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Amitabh Chak
- Department of Gastroenterology, University Hospitals, Cleveland, Ohio, USA
| | - Xuefeng Zhang
- Department of Pathology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Xiuli Liu
- Department of Pathology and Immunology, Washington University at St Louis, St Louis, Missouri, USA
| | - Shikhar Uttam
- Department of Computational and Systems Biology, UPMC Hillman Cancer Center, Cancer Biology Program, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yang Liu
- Department of Medicine, Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Zhao X, Gabriëls RY, Hooghiemstra WTR, Koller M, Meersma GJ, Buist-Homan M, Visser L, Robinson DJ, Tenditnaya A, Gorpas D, Ntziachristos V, Karrenbeld A, Kats-Ugurlu G, Fehrmann RSN, Nagengast WB. Validation of Novel Molecular Imaging Targets Identified by Functional Genomic mRNA Profiling to Detect Dysplasia in Barrett's Esophagus. Cancers (Basel) 2022; 14:cancers14102462. [PMID: 35626066 PMCID: PMC9139936 DOI: 10.3390/cancers14102462] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/06/2022] [Accepted: 05/13/2022] [Indexed: 02/01/2023] Open
Abstract
Barrett’s esophagus (BE) is the precursor of esophageal adenocarcinoma (EAC). Dysplastic BE (DBE) has a higher progression risk to EAC compared to non-dysplastic BE (NDBE). However, the miss rates for the endoscopic detection of DBE remain high. Fluorescence molecular endoscopy (FME) can detect DBE and mucosal EAC by highlighting the tumor-specific expression of proteins. This study aimed to identify target proteins suitable for FME. Publicly available RNA expression profiles of EAC and NDBE were corrected by functional genomic mRNA (FGmRNA) profiling. Following a class comparison between FGmRNA profiles of EAC and NDBE, predicted, significantly upregulated genes in EAC were prioritized by a literature search. Protein expression of prioritized genes was validated by immunohistochemistry (IHC) on DBE and NDBE tissues. Near-infrared fluorescent tracers targeting the proteins were developed and evaluated ex vivo on fresh human specimens. In total, 1976 overexpressed genes were identified in EAC (n = 64) compared to NDBE (n = 66) at RNA level. Prioritization and IHC validation revealed SPARC, SULF1, PKCι, and DDR1 (all p < 0.0001) as the most attractive imaging protein targets for DBE detection. Newly developed tracers SULF1-800CW and SPARC-800CW both showed higher fluorescence intensity in DBE tissue compared to paired non-dysplastic tissue. This study identified SPARC, SULF1, PKCι, and DDR1 as promising targets for FME to differentiate DBE from NDBE tissue, for which SULF1-800CW and SPARC-800CW were successfully ex vivo evaluated. Clinical studies should further validate these findings.
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Affiliation(s)
- Xiaojuan Zhao
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
- Cancer Research Center Groningen, Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Ruben Y. Gabriëls
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
| | - Wouter T. R. Hooghiemstra
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Marjory Koller
- Department of Surgery, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Gert Jan Meersma
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
- Cancer Research Center Groningen, Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Manon Buist-Homan
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
- Department of Laboratory Medicine, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands
| | - Lydia Visser
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.V.); (A.K.); (G.K.-U.)
| | - Dominic J. Robinson
- Center for Optic Diagnostics and Therapy, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands;
| | - Anna Tenditnaya
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 80333 Munich, Germany; (A.T.); (D.G.); (V.N.)
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), 85764 Neuherberg, Germany
| | - Dimitris Gorpas
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 80333 Munich, Germany; (A.T.); (D.G.); (V.N.)
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), 85764 Neuherberg, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging, Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, 80333 Munich, Germany; (A.T.); (D.G.); (V.N.)
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München (GmbH), 85764 Neuherberg, Germany
| | - Arend Karrenbeld
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.V.); (A.K.); (G.K.-U.)
| | - Gursah Kats-Ugurlu
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (L.V.); (A.K.); (G.K.-U.)
| | - Rudolf S. N. Fehrmann
- Cancer Research Center Groningen, Department of Medical Oncology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands;
| | - Wouter B. Nagengast
- Department of Gastroenterology and Hepatology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands; (X.Z.); (R.Y.G.); (W.T.R.H.); (G.J.M.); (M.B.-H.)
- Correspondence: ; Tel.: +31-(50)-361-6161
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Liu M, Zhou R, Liu Z, Guo C, Xu R, Zhou F, Liu A, Yang H, Li F, Duan L, Shen L, Wu Q, Zheng H, Tian H, Liu F, Liu Y, Pan Y, Chen H, Hu Z, Cai H, He Z, Ke Y. Update and validation of a diagnostic model to identify prevalent malignant lesions in esophagus in general population. EClinicalMedicine 2022; 47:101394. [PMID: 35480078 PMCID: PMC9035729 DOI: 10.1016/j.eclinm.2022.101394] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 03/01/2022] [Accepted: 03/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Previous risk prediction models taking esophageal malignant lesions detected during endoscopy as the primary outcome are not always sufficient to identify prevalent cases which are "overlooked" at screening. We aimed to update and externally validate our previous risk prediction model for malignant esophageal lesions by redefining the predicted outcome. METHODS 15,192 individuals from the Endoscopic Screening for Esophageal Cancer in China randomized controlled trial (ESECC trial, NCT01688908) were included as the training set, and 4576 participants from another population-based esophageal squamous cell carcinoma (ESCC) screening cohort (Anyang Esophageal Cancer Cohort Study, AECCS) served as the external validation set. Lesions with severe dysplasia or worse diagnosed at chromoendoscopy or identified via follow-up within 1 year after screening were defined as main outcome. Logistic regressions were applied to reconstruct the questionnaire-based prediction model using information collected before screening, with Akaike Information Criterion to determine the model structure. FINDINGS The final prediction model included age and its quadratic term, family history of ESCC, low body mass index (≤22 kg/m2), use of coal or wood as main fuel for cooking, eating rapidly, and ingestion of leftover food. The area under the curve was 0·77 (95% CI: 0·73-0·80) and 0·71 (95% CI: 0·65-0·78) in the training and validation set. When screening the top 50% or 10% of high-risk individuals within population, the detection rates can be increased in both cohorts, as compared to universal screening. INTERPRETATION The described tool may promote the efficiency of current national screening programs for ESCC and contribute to a precision screening strategy in high-risk regions in China. FUNDING This work was supported by the National Natural Science Foundation of China (82073626, 81773501), the National Science & Technology Fundamental Resources Investigation Program of China (2019FY101102), the National Key R&D Program of China (2021YFC2500405), the Beijing-Tianjin-Hebei Basic Research Cooperation Project (J200016), the Digestive Medical Coordinated Development Center of Beijing Hospitals Authority (XXZ0204) and the Beijing Nova Program (Z201100006820093). Sponsors had no role in the study design, data collection, analysis, and interpretation of data.
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Affiliation(s)
- Mengfei Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ren Zhou
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhen Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Chuanhai Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ruiping Xu
- Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fuyou Zhou
- Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Anxiang Liu
- Endoscopy Center, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Haijun Yang
- Department of Pathology, Anyang Cancer Hospital, Anyang, Henan Province, China
| | - Fenglei Li
- Hua County People's Hospital, Henan Province, China
| | - Liping Duan
- Department of Gastroenterology, Peking University Third Hospital, Beijing, China
| | - Lin Shen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China
| | - Hongchen Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Hongrui Tian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Fangfang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Ying Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Yaqi Pan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Huanyu Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhe Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Hong Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
| | - Zhonghu He
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
- Corresponding authors.
| | - Yang Ke
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital and Institute, #52 Fucheng Rd, Beijing 100142, China
- Corresponding authors.
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45
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Endoscopic Management of Barrett's Esophagus. Dig Dis Sci 2022; 67:1469-1479. [PMID: 35226224 DOI: 10.1007/s10620-022-07395-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2022] [Indexed: 12/09/2022]
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46
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Reyes CA, Young JN, Torres PR. First Reported Case of Femoral Facial Syndrome in an Adult: Esophageal Adenocarcinoma as a Progressive Gastrointestinal Manifestation. Cureus 2022; 14:e24285. [PMID: 35607579 PMCID: PMC9123342 DOI: 10.7759/cureus.24285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2022] [Indexed: 11/17/2022] Open
Abstract
A 42-year-old female with a past medical history of femoral facial syndrome (FFS) and years of gastroesophageal reflux disease presented to our clinic with symptoms of dysphagia and iron deficiency anemia. On upper endoscopy, esophageal stricture and adenocarcinoma were detected. Unfortunately, the patient developed coronavirus disease 2019 (COVID-19) multi-organ failure prior to cancer treatment and died with dignity after choosing comfort care measures. To the best of our knowledge, we report the first case of FFS in an adult patient. This case also uniquely highlights the rare gastrointestinal manifestations of FFS.
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47
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Puthenpura MM, Sanaka KO, Qin Y, Thota PN. Management of nondysplastic Barrett’s esophagus: When to survey? When to ablate? Ther Adv Chronic Dis 2022; 13:20406223221086760. [PMID: 35432847 PMCID: PMC9008814 DOI: 10.1177/20406223221086760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/23/2022] [Indexed: 11/30/2022] Open
Abstract
Barrett’s esophagus (BE), a precursor for esophageal adenocarcinoma (EAC), is
defined as salmon-colored mucosa extending more than 1 cm proximal to the
gastroesophageal junction with histological evidence of intestinal metaplasia.
The actual risk of EAC in nondysplastic Barrett’s esophagus (NDBE) is low with
an annual incidence of 0.3%. The mainstay in the management of NDBE is control
of gastroesophageal reflux disease (GERD) along with enrollment in surveillance
programs. The current recommendation for surveillance is four-quadrant biopsies
every 2 cm (or 1 cm in known or suspected dysplasia) followed by biopsy of
mucosal irregularity (nodules, ulcers, or other visible lesions) performed at 3-
to 5-year intervals. Challenges to surveillance include missed cancers,
suboptimal adherence to surveillance guidelines, and lack of strong evidence for
efficacy. There is minimal role for endoscopic eradication therapy in NDBE. The
role for enhanced imaging techniques, artificial intelligence, and risk
prediction models using clinical data and molecular markers is evolving.
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Affiliation(s)
- Max M. Puthenpura
- Department of Internal Medicine, Cleveland Clinic, Cleveland, OH, USA
| | - Krishna O. Sanaka
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH, USA
| | - Yi Qin
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH, USA
| | - Prashanthi N. Thota
- Center of Excellence for Barrett’s Esophagus, Department of Gastroenterology/A30, Digestive Disease & Surgery Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195,USA
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48
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Artificial Intelligence in the Management of Barrett’s Esophagus and Early Esophageal Adenocarcinoma. Cancers (Basel) 2022; 14:cancers14081918. [PMID: 35454824 PMCID: PMC9028107 DOI: 10.3390/cancers14081918] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 04/02/2022] [Accepted: 04/07/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary Esophageal adenocarcinoma is increasing in incidence and is the most common subtype of esophageal cancer in Western societies. AI systems are currently under development and validation in many fields of gas-troenterology. Abstract Esophageal adenocarcinoma is increasing in incidence and is the most common subtype of esophageal cancer in Western societies. The stepwise progression of Barrett´s metaplasia to high-grade dysplasia and invasive adenocarcinoma provides an opportunity for screening and surveillance. There are important unresolved issues, which include (i) refining the definition of the screening population in order to avoid unnecessary invasive diagnostics, (ii) a more precise prediction of the (very heterogeneous) individual progression risk from metaplasia to invasive cancer in order to better tailor surveillance recommendations, (iii) improvement of the quality of endoscopy in order to reduce the high miss rate for early neoplastic lesions, and (iv) support for the diagnosis of tumor infiltration depth in order to guide treatment decisions. Artificial intelligence (AI) systems might be useful as a support to better solve the above-mentioned issues.
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49
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Alexandre L, Tsilegeridis-Legeris T, Lam S. Clinical and Endoscopic Characteristics Associated With Post-Endoscopy Upper Gastrointestinal Cancers: A Systematic Review and Meta-analysis. Gastroenterology 2022; 162:1123-1135. [PMID: 34958760 DOI: 10.1053/j.gastro.2021.12.270] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 11/27/2021] [Accepted: 12/22/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND & AIMS Ten percent of patients with an upper gastrointestinal cancer will have received an esophagogastroduodenoscopy (EGD) within 3 years before diagnosis, termed post-endoscopy upper gastrointestinal cancers (PEUGIC). We aimed to determine the characteristics of PEUGIC, and compare these with detected cancers. METHODS We searched MEDLINE and Embase from inception for studies comparing the characteristics of PEUGIC and detected upper gastrointestinal cancers, and reported findings at the initial "cancer-negative" endoscopy. We synthesized results using random effects meta-analysis. This review is registered on PROSPERO, CRD42019125780. RESULTS A total of 2696 citations were screened and 25 studies were included, comprising 81,184 UGI cancers, of which 7926 were considered PEUGIC. For PEUGIC assessed within 6 to 36 months of a "cancer-negative" EGD, the mean interval was approximately 17 months. Patients with PEUGIC were less likely to present with dysphagia (odds ratio [OR] 0.37) and weight loss (OR 0.58) and were more likely to present with gastroesophageal reflux (OR 2.64) than detected cancers. PEUGICs were more common in women in Western populations (OR 1.30). PEUGICs were typically smaller at diagnosis and associated with less advanced disease staging compared with detected cancers (OR 2.87 for stage 1 vs 2-4). Most EGDs (>75%) were abnormal preceding diagnosis of PEUGIC. CONCLUSIONS There is a substantial delay in the diagnosis of PEUGIC. They are less likely to present with alarm symptoms than detected cancers. PEUGICs are overall less advanced at diagnosis. Most patients with PEUGIC have abnormalities reported at the preceding "cancer-negative" EGD. The epidemiology of PEUGIC may inform preventive strategy.
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Affiliation(s)
- Leo Alexandre
- Norwich Medical School, University of East Anglia, Norwich, UK; Department of Gastroenterology, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK.
| | | | - Stephen Lam
- Norwich Medical School, University of East Anglia, Norwich, UK; Department of General Surgery, Norfolk & Norwich University Hospital NHS Foundation Trust, Norwich, UK
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50
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Nguyen TH, Thrift AP, George R, Rosen DG, El-Serag HB, Ketwaroo GA. Prevalence and Predictors of Missed Dysplasia on Index Barrett's Esophagus Diagnosing Endoscopy in a Veteran Population. Clin Gastroenterol Hepatol 2022; 20:e876-e889. [PMID: 33839273 PMCID: PMC8900254 DOI: 10.1016/j.cgh.2021.04.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Limitations of endoscopic sampling may result in missed dysplasia at the diagnosis of Barrett's esophagus (BE). However, the role of close follow-up endoscopy is unclear. The aim was to evaluate the proportion of patients diagnosed with "missed" dysplasia within 18 months of their index nondysplastic BE (NDBE) diagnosis. METHODS This was a retrospective analysis of a cohort of BE patients diagnosed during 1990-2019 at the Houston VA. Patients with BE on index esophagogastroduodenoscopy (EGD) were classified as NDBE, indefinite dysplasia, or dysplastic (low- or high-grade dysplasia) based on initial biopsies. We identified NDBE patients who had follow-up EGD within 3-18 months after index EGD. We used logistic regression models to estimate odds ratios and 95% confidence intervals for risk factors of dysplasia on follow-up EGD. RESULTS We identified 614 patients who had BE on index EGD. Among those with NDBE and follow-up EGD within 3-18 months (n = 271), 4.1% had definite dysplasia on follow-up, and an additional 14.0% had indefinite dysplasia. Proportions of definite or indefinite dysplasia at follow-up within 3-18 months significantly decreased from 32.6% among patients with index EGD before 2009 to 11.7% among patients with index EGD after 2013 (P for trend = .068). Those with any indefinite or definite dysplastic BE at follow-up within 3-18 months after index EGD (n = 49) were more likely to have BE length ≥3 cm on index EGD (odds ratio, 3.39; 95% confidence interval, 1.63-7.08) than those with persistent NDBE or no BE on follow-up. CONCLUSIONS The occurrence of missed dysplasia on an index EGD has decreased over time. However, those with long segment BE were more than 3 times as likely to have missed dysplasia, and this group could benefit from dysplasia surveillance within 18 months of BE diagnosis.
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Affiliation(s)
- Theresa H Nguyen
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Aaron P Thrift
- Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas
| | - Rollin George
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Daniel G Rosen
- Department of Pathology, Baylor College of Medicine, Houston, Texas
| | - Hashem B El-Serag
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Innovations in Quality, Effectiveness and Safety (IQuESt), Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Gyanprakash A Ketwaroo
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, Houston, Texas.
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