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Guo YX, Yan X, Liu XC, Liu YX, Liu C. Artificial intelligence-driven strategies for managing renal and urinary complications in inflammatory bowel disease. World J Nephrol 2025; 14:100825. [PMID: 40134643 PMCID: PMC11755231 DOI: 10.5527/wjn.v14.i1.100825] [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: 08/27/2024] [Revised: 11/29/2024] [Accepted: 12/27/2024] [Indexed: 01/20/2025] Open
Abstract
In this editorial, we discuss the article by Singh et al published in World Journal of Nephrology, stating the need for timely adjustments in inflammatory bowel disease (IBD) patients' long-term management plans. IBD is chronic and lifelong, with recurrence and remission cycles, including ulcerative colitis and Crohn's disease. It's exact etiology is unknown but likely multifactorial. Related to gut flora and immune issues. Besides intestinal symptoms, IBD can also affect various extraintestinal manifestations such as those involving the skin, joints, eyes and urinary system. The anatomical proximity of urinary system waste disposal to that of the alimentary canal makes early detection and the differentiation of such symptoms very difficult. Various studies show that IBD and it's first-line drugs have nephrotoxicity, impacting the patients' life quality. Existing guidelines give very few references for kidney lesion monitoring. Singh et al's plan aims to improve treatment management for IBD patients with glomerular filtration rate decline, specifically those at risk. Most of IBD patients are young and they need lifelong therapy. So early therapy cessation, taking into account drug side effects, can be helpful. Artificial intelligence-driven diagnosis and treatment has a big potential for management improvements in IBD and other chronic diseases.
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Affiliation(s)
- Ya-Xiong Guo
- Surgical Unit 1, Shanxi Combined Traditional Chinese and Western Medicine Hospital, Taiyuan 030072, Shanxi Province, China
- No. 1 Clinical Medical School, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Xiong Yan
- No. 1 Clinical Medical School, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Xu-Chang Liu
- No. 1 Clinical Medical School, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
| | - Yu-Xiang Liu
- Department of Nephrology, Shanxi Provincial People’s Hospital, Taiyuan 030012, Shanxi Province, China
| | - Chun Liu
- No. 1 Clinical Medical School, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
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Liu YQ, Li ZZ, Han YL, Wang QB. The role of efferocytosis in inflammatory bowel disease. Front Immunol 2025; 16:1524058. [PMID: 40040696 PMCID: PMC11876057 DOI: 10.3389/fimmu.2025.1524058] [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: 11/07/2024] [Accepted: 01/16/2025] [Indexed: 03/06/2025] Open
Abstract
Efferocytosis is the process by which various phagocytes clear apoptotic cells. In recent years, an increasing body of evidence has emphasized the importance of efferocytosis in maintaining internal homeostasis. Intestinal macrophages play a crucial role in modulating intestinal inflammation and promoting tissue repair. Inflammatory bowel disease (IBD) is a chronic, progressive, and relapsing condition, primarily marked by the presence of ulcers in the digestive tract. The exact mechanisms underlying IBD are not yet fully understood, and current treatment approaches mainly aim at repairing the damaged intestinal mucosa and reducing inflammatory responses to ease symptoms.This article provides new perspectives on IBD treatment and clinical management by examining the expression of macrophage efferocytosis-related molecules, the effects of efferocytosis on IBD development, the various roles of macrophage efferocytosis in IBD, and treatment strategies for IBD that focus on efferocytosis.
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Affiliation(s)
- Yi-Qian Liu
- Institute of Acupuncture and Moxibustion, Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Zhan-Zhan Li
- Academy of Traditional Chinese Medicine, Henan University of Chinese Medicine, Zhengzhou, China
| | - Yong-Li Han
- Acupuncture Department, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
| | - Qing-Bo Wang
- Acupuncture Department, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
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Shahgoli VK, Noorolyai S, Ahmadpour Youshanlui M, Saeidi H, Nasiri H, Mansoori B, Holmskov U, Baradaran B. Inflammatory bowel disease, colitis, and cancer: unmasking the chronic inflammation link. Int J Colorectal Dis 2024; 39:173. [PMID: 39465427 PMCID: PMC11513726 DOI: 10.1007/s00384-024-04748-y] [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] [Accepted: 10/22/2024] [Indexed: 10/29/2024]
Abstract
BACKGROUND Chronic inflammation is a significant driver in the development of various diseases, including cancer. Colitis-associated colorectal cancer (CA-CRC) refers to the increased risk of colorectal cancer in individuals with chronic inflammatory bowel diseases (IBD) such as ulcerative colitis and Crohn's disease. METHODS This narrative review examines the link between chronic inflammation and CA-CRC. A comprehensive literature search was conducted using PubMed, Scopus, and Web of Science, focusing on studies published between 2000 and 2024. Studies were selected based on relevance to the role of inflammation in CA-CRC, specifically targeting molecular pathways and clinical implications. Both clinical and mechanistic studies were reviewed. CONCLUSION Sustained inflammation in the colon fosters a pro-tumorigenic environment, leading to the initiation and progression of CA-CRC. Prevention strategies must focus on controlling chronic inflammation, optimizing IBD management, and implementing regular screenings. Emerging therapies targeting key inflammatory pathways and immune responses, along with microbiome modulation, hold promise for reducing CA-CRC risk. Understanding these molecular mechanisms provides a path toward personalized treatment and better outcomes for patients with IBD at risk of colorectal cancer.
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Affiliation(s)
- Vahid Khaze Shahgoli
- Faculty of Medicine, Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
- Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Saeed Noorolyai
- Faculty of Medicine, Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Hossein Saeidi
- Faculty of Medicine, Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hadi Nasiri
- Faculty of Medicine, Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Behzad Mansoori
- Molecular and Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, USA
| | - Uffe Holmskov
- Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Behzad Baradaran
- Faculty of Medicine, Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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Lei L, Lv T, Wang L, Liu X. Predictive value of serum markers for mucosal healing in patients with inflammatory bowel disease. Am J Transl Res 2024; 16:3723-3732. [PMID: 39262732 PMCID: PMC11384372 DOI: 10.62347/lxbg8588] [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: 04/01/2024] [Accepted: 07/08/2024] [Indexed: 09/13/2024]
Abstract
OBJECTIVE To investigate the value of serum markers in assessing mucosal healing (MH) and inflammatory activity in patients with inflammatory bowel disease (IBD). METHODS In this retrospective analysis, we examined data from 320 IBD patients, including 176 with ulcerative colitis (UC) and 144 with Crohn's disease (CD), alongside 100 healthy controls during the same period. Serum levels of various markers, including white blood cell (WBC), platelet count (PLT), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), platelet/lymphocyte ratio (PLR) and neutrophil/lymphocyte ratio (NLR) were evaluated. These indices were analyzed for their diagnostic value in endoscopic MH in IBD patients. The independent influencing factors affecting MH in IBD patients were identified by univariate and multivariate analyses. RESULTS The levels of WBC, PLT, ESR, CRP, PLR, and NLR were significantly higher in IBD patients, UC patients, and CD patients than in healthy controls (all P < 0.05). For those achieving MH, their WBC, PLT, ESR, CRP, PLR, and NLR levels were significantly lower than patients who did not achieve MH (all P < 0.05). The AUCs of WBC, PLT, ESR, CRP, PLR, and NLR for the diagnosis of MH were 0.729, 0.756, 0.673, 0.707, 0791, and 0.724, respectively. A multifactorial analysis found that the presence of abdominal pain (OR: 2.155, 95% CI: 1.081-4.297, P < 0.05), higher WBC (OR: 3.927, 95% CI: 2.008-7.681, P < 0.001), higher PLT (OR: 4.181, 95% CI: 2.078-8.412, P < 0.001), higher ESR (OR: 2.221, 95% CI: 1.082-4.562, P < 0.05), higher CRP (OR: 3.874, 95% CI: 1.861-8.065, P < 0.001), higher PLR (OR: 4.087, 95% CI: 1.586-10.534, P < 0.01), and higher NLR ( OR: 2.688, 95% CI: 1.292-5.592, P < 0.01) were independent risk factors for failure in achieving MH. CONCLUSION WBC, PLT, ESR, CRP, PLR, and NLR can be used as noninvasive markers for predicting MH in patients with IBD, and they hold promise for clinical application.
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Affiliation(s)
- Lei Lei
- Department of Gastroenterology, No. 215 Hospital of Shaanxi Nuclear Industry No. 35 Weiyang West Road, Qindu District, Xianyang 712000, Shaanxi, China
| | - Ting Lv
- Department of Gastroenterology, No. 215 Hospital of Shaanxi Nuclear Industry No. 35 Weiyang West Road, Qindu District, Xianyang 712000, Shaanxi, China
| | - Lingling Wang
- Department of Gastroenterology, No. 215 Hospital of Shaanxi Nuclear Industry No. 35 Weiyang West Road, Qindu District, Xianyang 712000, Shaanxi, China
| | - Xin Liu
- Department of Gastroenterology, No. 215 Hospital of Shaanxi Nuclear Industry No. 35 Weiyang West Road, Qindu District, Xianyang 712000, Shaanxi, China
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Takabayashi K, Kobayashi T, Matsuoka K, Levesque BG, Kawamura T, Tanaka K, Kadota T, Bise R, Uchida S, Kanai T, Ogata H. Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale. Dig Endosc 2024; 36:582-590. [PMID: 37690125 DOI: 10.1111/den.14677] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/05/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVES Existing endoscopic scores for ulcerative colitis (UC) objectively categorize disease severity based on the presence or absence of endoscopic findings; therefore, it may not reflect the range of clinical severity within each category. However, inflammatory bowel disease (IBD) expert endoscopists categorize the severity and diagnose the overall impression of the degree of inflammation. This study aimed to develop an artificial intelligence (AI) system that can accurately represent the assessment of the endoscopic severity of UC by IBD expert endoscopists. METHODS A ranking-convolutional neural network (ranking-CNN) was trained using comparative information on the UC severity of 13,826 pairs of endoscopic images created by IBD expert endoscopists. Using the trained ranking-CNN, the UC Endoscopic Gradation Scale (UCEGS) was used to express severity. Correlation coefficients were calculated to ensure that there were no inconsistencies in assessments of severity made using UCEGS diagnosed by the AI and the Mayo Endoscopic Subscore, and the correlation coefficients of the mean for test images assessed using UCEGS by four IBD expert endoscopists and the AI. RESULTS Spearman's correlation coefficient between the UCEGS diagnosed by AI and Mayo Endoscopic Subscore was approximately 0.89. The correlation coefficients between IBD expert endoscopists and the AI of the evaluation results were all higher than 0.95 (P < 0.01). CONCLUSIONS The AI developed here can diagnose UC severity endoscopically similar to IBD expert endoscopists.
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Affiliation(s)
- Kaoru Takabayashi
- Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan
| | - Taku Kobayashi
- Center for Advanced IBD Research and Treatment, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Katsuyoshi Matsuoka
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Toho University Sakura Medical Center, Chiba, Japan
| | - Barrett G Levesque
- Division of Gastroenterology, Los Angeles County/University of Southern California Medical Center, Los Angeles, USA
| | - Takuji Kawamura
- Department of Gastroenterology, Kyoto Second Red Cross Hospital, Kyoto, Japan
| | - Kiyohito Tanaka
- Department of Gastroenterology, Kyoto Second Red Cross Hospital, Kyoto, Japan
| | - Takeaki Kadota
- Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan
| | - Ryoma Bise
- Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan
- Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan
| | - Seiichi Uchida
- Research Center for Medical Bigdata, National Institute of Informatics, Tokyo, Japan
- Department of Advanced Information Technology, Kyushu University, Fukuoka, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Haruhiko Ogata
- Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan
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Lai UH, Wu KS, Hsu TY, Kan JKC. Evaluating the performance of ChatGPT-4 on the United Kingdom Medical Licensing Assessment. Front Med (Lausanne) 2023; 10:1240915. [PMID: 37795422 PMCID: PMC10547055 DOI: 10.3389/fmed.2023.1240915] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/30/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction Recent developments in artificial intelligence large language models (LLMs), such as ChatGPT, have allowed for the understanding and generation of human-like text. Studies have found LLMs abilities to perform well in various examinations including law, business and medicine. This study aims to evaluate the performance of ChatGPT in the United Kingdom Medical Licensing Assessment (UKMLA). Methods Two publicly available UKMLA papers consisting of 200 single-best-answer (SBA) questions were screened. Nine SBAs were omitted as they contained images that were not suitable for input. Each question was assigned a specialty based on the UKMLA content map published by the General Medical Council. A total of 191 SBAs were inputted in ChatGPT-4 through three attempts over the course of 3 weeks (once per week). Results ChatGPT scored 74.9% (143/191), 78.0% (149/191) and 75.6% (145/191) on three attempts, respectively. The average of all three attempts was 76.3% (437/573) with a 95% confidence interval of (74.46% and 78.08%). ChatGPT answered 129 SBAs correctly and 32 SBAs incorrectly on all three attempts. On three attempts, ChatGPT performed well in mental health (8/9 SBAs), cancer (11/14 SBAs) and cardiovascular (10/13 SBAs). On three attempts, ChatGPT did not perform well in clinical haematology (3/7 SBAs), endocrine and metabolic (2/5 SBAs) and gastrointestinal including liver (3/10 SBAs). Regarding to response consistency, ChatGPT provided correct answers consistently in 67.5% (129/191) of SBAs but provided incorrect answers consistently in 12.6% (24/191) and inconsistent response in 19.9% (38/191) of SBAs, respectively. Discussion and conclusion This study suggests ChatGPT performs well in the UKMLA. There may be a potential correlation between specialty performance. LLMs ability to correctly answer SBAs suggests that it could be utilised as a supplementary learning tool in medical education with appropriate medical educator supervision.
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Affiliation(s)
- U Hin Lai
- Sandwell and West Birmingham NHS Trust, West Bromwich, United Kingdom
- Aston Medical School, Birmingham, United Kingdom
| | - Keng Sam Wu
- Sandwell and West Birmingham NHS Trust, West Bromwich, United Kingdom
- University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Ting-Yu Hsu
- Aston Medical School, Birmingham, United Kingdom
- University Hospitals Birmingham NHS Trust, Birmingham, United Kingdom
| | - Jessie Kai Ching Kan
- Aston Medical School, Birmingham, United Kingdom
- Worcestershire Acute Hospitals NHS Trust, Worcester, United Kingdom
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Ali S. Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions. NPJ Digit Med 2022; 5:184. [PMID: 36539473 PMCID: PMC9767933 DOI: 10.1038/s41746-022-00733-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Recent developments in deep learning have enabled data-driven algorithms that can reach human-level performance and beyond. The development and deployment of medical image analysis methods have several challenges, including data heterogeneity due to population diversity and different device manufacturers. In addition, more input from experts is required for a reliable method development process. While the exponential growth in clinical imaging data has enabled deep learning to flourish, data heterogeneity, multi-modality, and rare or inconspicuous disease cases still need to be explored. Endoscopy being highly operator-dependent with grim clinical outcomes in some disease cases, reliable and accurate automated system guidance can improve patient care. Most designed methods must be more generalisable to the unseen target data, patient population variability, and variable disease appearances. The paper reviews recent works on endoscopic image analysis with artificial intelligence (AI) and emphasises the current unmatched needs in this field. Finally, it outlines the future directions for clinically relevant complex AI solutions to improve patient outcomes.
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Affiliation(s)
- Sharib Ali
- School of Computing, University of Leeds, LS2 9JT, Leeds, UK.
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8
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Maeda Y, Kudo SE, Ogata N, Kuroki T, Takashina Y, Takishima K, Ogawa Y, Ichimasa K, Mori Y, Kudo T, Hayashi T, Miyachi H, Ishida F, Nemoto T, Ohtsuka K, Misawa M. Use of advanced endoscopic technology for optical characterization of neoplasia in patients with ulcerative colitis: Systematic review. Dig Endosc 2022; 34:1297-1310. [PMID: 35445457 DOI: 10.1111/den.14335] [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: 01/12/2022] [Accepted: 04/18/2022] [Indexed: 02/08/2023]
Abstract
OBJECTIVES Advances in endoscopic technology, including magnifying and image-enhanced techniques, have been attracting increasing attention for the optical characterization of colorectal lesions. These techniques are being implemented into clinical practice as cost-effective and real-time approaches. Additionally, with the recent progress in endoscopic interventions, endoscopic resection is gaining acceptance as a treatment option in patients with ulcerative colitis (UC). Therefore, accurate preoperative characterization of lesions is now required. However, lesion characterization in patients with UC may be difficult because UC is often affected by inflammation, and it may be characterized by a distinct "bottom-up" growth pattern, and even expert endoscopists have relatively little experience with such cases. In this systematic review, we assessed the current status and limitations of the use of optical characterization of lesions in patients with UC. METHODS A literature search of online databases (MEDLINE via PubMed and CENTRAL via the Cochrane Library) was performed from 1 January 2000 to 30 November 2021. RESULTS The database search initially identified 748 unique articles. Finally, 25 studies were included in the systematic review: 23 focused on differentiation of neoplasia from non-neoplasia, one focused on differentiation of UC-associated neoplasia from sporadic neoplasia, and one focused on differentiation of low-grade dysplasia from high-grade dysplasia and cancer. CONCLUSIONS Optical characterization of neoplasia in patients with UC, even using advanced endoscopic technology, is still challenging and several issues remain to be addressed. We believe that the information revealed in this review will encourage researchers to commit to the improvement of optical diagnostics for UC-associated lesions.
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Affiliation(s)
- Yasuharu Maeda
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Shin-Ei Kudo
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Noriyuki Ogata
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Takanori Kuroki
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Yuki Takashina
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Kazumi Takishima
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Yushi Ogawa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Katsuro Ichimasa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Yuichi Mori
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
- Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Toyoki Kudo
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Takemasa Hayashi
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Hideyuki Miyachi
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Fumio Ishida
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Tetsuo Nemoto
- Department of Diagnostic Pathology, Showa University Northern Yokohama Hospital, Kanagawa, Japan
| | - Kazuo Ohtsuka
- Department of Endoscopy, Tokyo Medical and Dental University Hospital, Tokyo, Japan
| | - Masashi Misawa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Kanagawa, Japan
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Agrawal LS, Acharya S, Shukla S, Parekh YC. Future of Endoscopy in Inflammatory Bowel Diseases (IBDs). Cureus 2022; 14:e29567. [PMID: 36312686 PMCID: PMC9596090 DOI: 10.7759/cureus.29567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 09/25/2022] [Indexed: 12/15/2022] Open
Abstract
Gastrointestinal (GI) endoscopy has transformed over the years in scope, safety, accuracy, acceptability, and cost effectiveness of the clinical practice. There has been a reduction in the superiority of the endoscopic devices as innovations have taken place and increased the diagnostic values with certain limitations. There are particular difficulties in striking a balance between the development of new technology and the device's acceptance. The wide use of endoscopy for investigating GI lesions and diagnosis has led to an increase in more advanced methods and their broad application. It can simultaneously diagnose pre-malignant and malignant lesions, and newer interventions have made the biopsy specimen uptake possible. In this review article, we focus on the more recent roles, indications, applications, and usage of the innovative methods of endoscopy.
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Takabayashi K. Endocytoscopic evaluation of goblet appearance may lead to a new concept of histo-endoscopic mucosal healing in patients with ulcerative colitis. Dig Endosc 2022; 34:1040-1041. [PMID: 35199394 DOI: 10.1111/den.14267] [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: 02/08/2023]
Affiliation(s)
- Kaoru Takabayashi
- Center for Diagnostic and Therapeutic Endoscopy, School of Medicine, Keio University, Tokyo, Japan
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11
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Matsuura M, Matsumoto T, Naito Y, Saitoh Y, Kanai T, Suzuki Y, Tanaka S, Ogata H, Hisamatsu T. Advanced endoscopy for the management of inflammatory digestive diseases: Review of the Japan Gastroenterological Endoscopy Society core session. Dig Endosc 2022; 34:729-735. [PMID: 35037317 DOI: 10.1111/den.14234] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/28/2021] [Accepted: 01/11/2022] [Indexed: 02/08/2023]
Abstract
A series of workshops entitled "Advanced endoscopy in the management of inflammatory digestive disease" was held at the 97th to 100th biannual meeting of the Japan Gastroenterological Endoscopy Society. During these core sessions, research findings concerning various endoscopic practices in the field of inflammatory bowel disease (IBD) were presented, and meaningful discussions were shared on the evolving role and future challenges of endoscopy in IBD. This article reviews these core sessions and discusses current topics on the role of endoscopy, focusing on the diagnosis, disease monitoring, mucosal healing assessments, cancer surveillance, and therapeutic interventions in IBD.
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Affiliation(s)
- Minoru Matsuura
- Department of Gastroenterology and Hepatology, Kyorin University School of Medicine, Tokyo, Japan
| | - Takayuki Matsumoto
- Division of Gastroenterology, Department of Medicine, Iwate Medical University, Iwate, Japan
| | - Yuji Naito
- Department of Human Immunology and Nutrition Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yusuke Saitoh
- Digestive Disease Center, Asahikawa City Hospital, Hokkaido, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokyo, Japan
| | - Yasuo Suzuki
- Department of Gastroenterology, Toho University Sakura Medical Center, Chiba, Japan
| | - Shinji Tanaka
- Endoscopy and Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Haruhiko Ogata
- Center for Diagnostic and Therapeutic Endoscopy, Keio University School of Medicine, Tokyo, Japan
| | - Tadakazu Hisamatsu
- Department of Gastroenterology and Hepatology, Kyorin University School of Medicine, Tokyo, Japan
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12
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Artificial Endoscopy and Inflammatory Bowel Disease: Welcome to the Future. J Clin Med 2022; 11:jcm11030569. [PMID: 35160021 PMCID: PMC8836846 DOI: 10.3390/jcm11030569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 12/15/2022] Open
Abstract
Artificial intelligence (AI) is assuming an increasingly important and central role in several medical fields. Its application in endoscopy provides a powerful tool supporting human experiences in the detection, characterization, and classification of gastrointestinal lesions. Lately, the potential of AI technology has been emerging in the field of inflammatory bowel disease (IBD), where the current cornerstone is the treat-to-target strategy. A sensible and specific tool able to overcome human limitations, such as AI, could represent a great ally and guide precision medicine decisions. Here we reviewed the available literature on the endoscopic applications of AI in order to properly describe the current state-of-the-art and identify the research gaps in IBD at the dawn of 2022.
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13
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Zhuang H, Bao A, Tan Y, Wang H, Xie Q, Qiu M, Xiong W, Liao F. Application and prospect of artificial intelligence in digestive endoscopy. Expert Rev Gastroenterol Hepatol 2022; 16:21-31. [PMID: 34937459 DOI: 10.1080/17474124.2022.2020646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION With the progress of science and technology, artificial intelligence represented by deep learning has gradually begun to be applied in the medical field. Artificial intelligence has been applied to benign gastrointestinal lesions, tumors, early cancer, inflammatory bowel disease, gallbladder, pancreas, and other diseases. This review summarizes the latest research results on artificial intelligence in digestive endoscopy and discusses the prospect of artificial intelligence in digestive system diseases. AREAS COVERED We retrieved relevant documents on artificial intelligence in digestive tract diseases from PubMed and Medline. This review elaborates on the knowledge of computer-aided diagnosis in digestive endoscopy. EXPERT OPINION Artificial intelligence significantly improves diagnostic accuracy, reduces physicians' workload, and provides a shred of evidence for clinical diagnosis and treatment. Shortly, artificial intelligence will have high application value in the field of medicine.
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Affiliation(s)
- Huangming Zhuang
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Anyu Bao
- Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Yulin Tan
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Hanyu Wang
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qingfang Xie
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Meiqi Qiu
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Wanli Xiong
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Fei Liao
- Gastroenterology Department, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
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Cai Z, Wang S, Li J. Treatment of Inflammatory Bowel Disease: A Comprehensive Review. Front Med (Lausanne) 2021; 8:765474. [PMID: 34988090 PMCID: PMC8720971 DOI: 10.3389/fmed.2021.765474] [Citation(s) in RCA: 248] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/29/2021] [Indexed: 12/14/2022] Open
Abstract
Inflammatory bowel disease (IBD), as a global disease, has attracted much research interest. Constant research has led to a better understanding of the disease condition and further promoted its management. We here reviewed the conventional and the novel drugs and therapies, as well as the potential ones, which have shown promise in preclinical studies and are likely to be effective future therapies. The conventional treatments aim at controlling symptoms through pharmacotherapy, including aminosalicylates, corticosteroids, immunomodulators, and biologics, with other general measures and/or surgical resection if necessary. However, a considerable fraction of patients do not respond to available treatments or lose response, which calls for new therapeutic strategies. Diverse therapeutic options are emerging, involving small molecules, apheresis therapy, improved intestinal microecology, cell therapy, and exosome therapy. In addition, patient education partly upgrades the efficacy of IBD treatment. Recent advances in the management of IBD have led to a paradigm shift in the treatment goals, from targeting symptom-free daily life to shooting for mucosal healing. In this review, the latest progress in IBD treatment is summarized to understand the advantages, pitfalls, and research prospects of different drugs and therapies and to provide a basis for the clinical decision and further research of IBD.
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Affiliation(s)
- Zhaobei Cai
- Department of General Surgery, The Second Hospital of Jilin University, Changchun, China
- Department of Gastroenterology and Hepatology, Chinese People's Liberation Army General Hospital, Beijing, China
| | - Shu Wang
- Department of Radiotherapy, The Second Hospital of Jilin University, Changchun, China
| | - Jiannan Li
- Department of General Surgery, The Second Hospital of Jilin University, Changchun, China
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15
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Ishida N, Onoue S, Miyazu T, Tamura S, Tani S, Yamade M, Iwaizumi M, Hamaya Y, Osawa S, Furuta T, Sugimoto K. Further research on the clinical relevance of the ulcerative colitis colonoscopic index of severity for predicting 5-year relapse. Int J Colorectal Dis 2021; 36:2661-2670. [PMID: 34409500 PMCID: PMC8589779 DOI: 10.1007/s00384-021-04009-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/06/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE The ulcerative colitis colonoscopic index of severity (UCCIS) evaluates the state of the entire colonic mucosa in ulcerative colitis. However, no cut-off values of scores for predicting clinical relapse in patients with ulcerative colitis have been established. This study aimed to determine the cut-off values for predicting clinical relapse in patients with ulcerative colitis. METHODS The endoscopic scores (sum of Mayo endoscopic subscores (S-MES) and UCCIS) of 157 patients with ulcerative colitis experiencing clinical remission and their subsequent clinical course were retrospectively reviewed. The optimal cut-off values for predicting relapse and relapse-free rates were analyzed by receiver operating characteristic analysis. RESULTS Forty patients with ulcerative colitis experienced relapse within 24 months. The median UCCIS for these patients at the time of study enrollment was significantly higher than that for patients with clinical remission (P < 0.001). The cut-off value of the UCCIS for predicting relapse was 9.8. The relapse-free rate was significantly lower in patients with UCCIS ≥ 9.8 than in those with UCCIS < 9.8 (log-rank test P < 0.001). For patients who experienced relapse within 5 years, the optimal cut-off values for the UCCIS and S-MES were 10.2 and 1, respectively (P = 0.004). CONCLUSIONS The data from this study indicate that the USSIC is a more relevant score than the S-MES for predicting the time to relapse in patients with ulcerative colitis in remission.
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Affiliation(s)
- Natsuki Ishida
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Shunya Onoue
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Takahiro Miyazu
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Satoshi Tamura
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Shinya Tani
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Mihoko Yamade
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Moriya Iwaizumi
- Department of Laboratory Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Yasushi Hamaya
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Satoshi Osawa
- Department of Endoscopic and Photodynamic Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Takahisa Furuta
- Center for Clinical Research, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan
| | - Ken Sugimoto
- First Department of Medicine, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu, Shizuoka, 431-3192, Japan.
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16
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Majidova K, Handfield J, Kafi K, Martin RD, Kubinski R. Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review. Genes (Basel) 2021; 12:1465. [PMID: 34680860 PMCID: PMC8535572 DOI: 10.3390/genes12101465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/14/2021] [Indexed: 12/12/2022] Open
Abstract
Inflammatory bowel diseases (IBD), subdivided into Crohn's disease (CD) and ulcerative colitis (UC), are chronic diseases that are characterized by relapsing and remitting periods of inflammation in the gastrointestinal tract. In recent years, the amount of research surrounding digital health (DH) and artificial intelligence (AI) has increased. The purpose of this scoping review is to explore this growing field of research to summarize the role of DH and AI in the diagnosis, treatment, monitoring and prognosis of IBD. A review of 21 articles revealed the impact of both AI algorithms and DH technologies; AI algorithms can improve diagnostic accuracy, assess disease activity, and predict treatment response based on data modalities such as endoscopic imaging and genetic data. In terms of DH, patients utilizing DH platforms experienced improvements in quality of life, disease literacy, treatment adherence, and medication management. In addition, DH methods can reduce the need for in-person appointments, decreasing the use of healthcare resources without compromising the standard of care. These articles demonstrate preliminary evidence of the potential of DH and AI for improving the management of IBD. However, the majority of these studies were performed in a regulated clinical environment. Therefore, further validation of these results in a real-world environment is required to assess the efficacy of these methods in the general IBD population.
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Affiliation(s)
| | | | | | | | - Ryszard Kubinski
- Phyla Technologies Inc., Montréal, QC H3C 4J9, Canada; (K.M.); (J.H.); (K.K.); (R.D.M.)
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Berbís MA, Aneiros-Fernández J, Mendoza Olivares FJ, Nava E, Luna A. Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases. World J Gastroenterol 2021; 27:4395-4412. [PMID: 34366612 PMCID: PMC8316909 DOI: 10.3748/wjg.v27.i27.4395] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 04/14/2021] [Accepted: 06/07/2021] [Indexed: 02/06/2023] Open
Abstract
The use of artificial intelligence-based tools is regarded as a promising approach to increase clinical efficiency in diagnostic imaging, improve the interpretability of results, and support decision-making for the detection and prevention of diseases. Radiology, endoscopy and pathology images are suitable for deep-learning analysis, potentially changing the way care is delivered in gastroenterology. The aim of this review is to examine the key aspects of different neural network architectures used for the evaluation of gastrointestinal conditions, by discussing how different models behave in critical tasks, such as lesion detection or characterization (i.e. the distinction between benign and malignant lesions of the esophagus, the stomach and the colon). To this end, we provide an overview on recent achievements and future prospects in deep learning methods applied to the analysis of radiology, endoscopy and histologic whole-slide images of the gastrointestinal tract.
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Affiliation(s)
| | - José Aneiros-Fernández
- Department of Pathology, Hospital Universitario Clínico San Cecilio, Granada 18012, Spain
| | | | - Enrique Nava
- Department of Communications Engineering, University of Málaga, Malaga 29016, Spain
| | - Antonio Luna
- MRI Unit, Department of Radiology, HT Médica, Jaén 23007, Spain
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18
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Marlicz W, Koulaouzidis G, Koulaouzidis A. Artificial Intelligence in Gastroenterology-Walking into the Room of Little Miracles. J Clin Med 2020; 9:jcm9113675. [PMID: 33207649 PMCID: PMC7697458 DOI: 10.3390/jcm9113675] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 11/11/2020] [Indexed: 12/15/2022] Open
Affiliation(s)
- Wojciech Marlicz
- Department of Gastroenterology, Pomeranian Medical University, 71-252 Szczecin, Poland
- The Centre for Digestive Diseases Endoklinika, 70-535 Szczecin, Poland;
- Correspondence:
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