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Gonzaga APFC, Pacheco EO, Favaro LR, Torres US, D'Ippolito G. Solid Pseudopapillary Neoplasm of the Pancreas: Typical, Atypical, and Mimicking Lesions-A Pictorial Review. Semin Ultrasound CT MR 2025:S0887-2171(25)00018-6. [PMID: 40216034 DOI: 10.1053/j.sult.2025.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2025]
Abstract
Solid pseudopapillary neoplasms (SPNs) of the pancreas are rare tumors that predominantly affect young women and are characterized by encapsulated lesions with a mixture of solid and cystic components. Although typically indolent with a favorable prognosis after surgical resection, SPNs can exhibit atypical features that complicate diagnosis, including dense calcifications, multiplicity, or occurrence in male and elderly patients. Magnetic resonance imaging plays a pivotal role in distinguishing SPNs from other pancreatic lesions, leveraging its superior contrast resolution to identify hallmark findings such as hemorrhage, cystic degeneration, and enhancement patterns. This review highlights both typical and atypical imaging presentations of SPNs and discusses key differential diagnoses, including pancreatic adenocarcinoma, neuroendocrine tumors, and mucinous cystic neoplasms. By broadening awareness of the variable manifestations of SPNs and integrating imaging with clinical and epidemiological data, this study aims to improve diagnostic accuracy and guide effective management strategies for ambiguous pancreatic lesions.
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Affiliation(s)
| | - Eduardo O Pacheco
- Grupo Fleury, São Paulo, SP, Brazil.; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Larissa Rossini Favaro
- Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
| | - Ulysses S Torres
- Grupo Fleury, São Paulo, SP, Brazil.; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil..
| | - Giuseppe D'Ippolito
- Grupo Fleury, São Paulo, SP, Brazil.; Department of Diagnostic Imaging, Escola Paulista de Medicina, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil
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Sahithi PVL, Nandi VPKR, Kandagaddala Y, Mulagapaka V, Onteddu LP, Onteddu NK. Gastrinoma: A Case of Chronic Diarrhea. Cureus 2025; 17:e81253. [PMID: 40291307 PMCID: PMC12031656 DOI: 10.7759/cureus.81253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Accepted: 03/19/2025] [Indexed: 04/30/2025] Open
Abstract
Gastrinoma is a rare neuroendocrine tumor characterized by the hypersecretion of gastrin. Early diagnosis is challenging due to its rarity, and patients present to the outpatient department with nonspecific complaints such as diarrhea, weight loss, and fatigue, which often lead to a broad differential diagnosis. This report presents the case of a 59-year-old female who has come to the internal medicine department for a workup of chronic diarrhea, low-grade fever, 8kg weight loss, and severe reflux of eight months duration, not responding to empiric therapy. After multiple hospital visits and evaluations, she was found to have duodenal gastrinoma. This case report aims to create awareness and underscores the importance of considering neuroendocrine tumors as an initial differential diagnosis for patients with nonspecific or unexplained gastrointestinal symptoms to facilitate early diagnosis.
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Affiliation(s)
| | | | | | - Vinusha Mulagapaka
- Internal Medicine, P.E.S. Institute of Medical Sciences and Research, Kuppam, IND
| | | | - Nirmal K Onteddu
- Internal Medicine, University of Florida College of Medicine, Jacksonville, USA
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3
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Ji X, Dong A, Wang Y, Zuo C. 68 Ga-DOTATATE Uptake in Pancreatic Ductal Adenocarcinoma. Clin Nucl Med 2025; 50:188-190. [PMID: 39388311 DOI: 10.1097/rlu.0000000000005452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
ABSTRACT We present a case of pancreatic ductal adenocarcinoma showing increased 68 Ga-DOTATATE uptake mimicking neuroendocrine tumor on PET/CT. Immunohistochemical analyses of the resected tumor showed the tumor cells were negative for somatostatin receptor subtype 2. The nonneoplastic islets scattered throughout the tumor were positive for somatostatin receptor subtype 2, which may be responsible for the increased 68 Ga-DOTATATE uptake. This case indicates that pancreatic ductal adenocarcinoma should be included in the differential diagnosis of the pancreatic lesions showing increased 68 Ga-DOTATATE uptake.
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Affiliation(s)
- Xia Ji
- From the Department of Gastroenterology, The Second Affiliated Hospital, Jiaxing University, Jiaxing, Zhejiang Province
| | - Aisheng Dong
- Department of Nuclear Medicine, The First Affiliated Hospital of Naval Medical University
| | - Yang Wang
- Department of Pathology, Shanghai Fourth People's Hospital Affiliated to Tongji University School of Medicine, Shanghai, China
| | - Changjing Zuo
- Department of Nuclear Medicine, The First Affiliated Hospital of Naval Medical University
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Harary PM, Hori YS, Annagiri S, Akhavan-Sigari A, Persad ARL, Ustrzynski L, Emrich SC, Tayag A, Park DJ, Chang SD. Stereotactic radiosurgery for pancreatic neuroendocrine tumor brain Metastases: Systematic review and Illustrative case presentation. J Clin Neurosci 2024; 130:110927. [PMID: 39571478 DOI: 10.1016/j.jocn.2024.110927] [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: 07/08/2024] [Revised: 10/26/2024] [Accepted: 11/16/2024] [Indexed: 01/23/2025]
Abstract
BACKGROUND Neuroendocrine tumor (NET) brain metastases (BM) are rare malignancies which frequently bear a poor prognosis and have the potential to secrete hormones. The optimal treatment approach for these metastases remains unclear, with significant heterogeneity occurring both across and within primary tumor types, and outcome data are limited. Pancreatic neuroendocrine tumor (pNET) BM may be particularly aggressive. While stereotactic radiosurgery (SRS) for other NET BM has previously been described, no report has specifically investigated SRS for management of pNET BM. METHODS A comprehensive literature search was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Search terms included ("neuroendocrine tumor" OR "neuroendocrine neoplasm" OR "neuroendocrine carcinoma" OR "NET") AND ("brain metastasis" OR "brain metastases" OR "intracranial metastases") AND ("stereotactic radiosurgery" OR "stereotactic body" OR "CyberKnife" OR "GammaKnife"). RESULTS Our search strategy yielded 230 articles. After screening, a total of 16 articles with 256 patients were identified. Number of patients per study cohort ranged from 1 to 101 (mean = 16). Ten articles were single case reports. The most commonly investigated primary site was lung (5 studies), followed by skin (2 case reports), and uterine cervix (2 case reports). Median survival post-SRS ranged from 5 to 42 months. Median tumor volume ranged from 0.08 cm3 to 33.62 cm3. Local control rate was provided in 3 of 6 of the reviewed retrospective analyses. A pulmonary cohort of 101 patients reported a recurrence rate of 13.8 % at 12 months. A pulmonary case series similarly reported local progression in only 1 of 8 patients. The mixed primary cohort (33 patients) had a long-term local failure rate of 16.7 %. In addition, we describe a first reported individual case of pNET BM treated with SRS. Nearly 6-years after initial pNET diagnosis, multiple intracranial enhancing lesions were found, which were subsequently treated with SRS. Follow-up imaging demonstrated a statistically significant decrease in lesion diameter (p < 0.001), with none of the 18 BM progressing. CONCLUSION Given the recently increase in age-adjusted incidence of NET BM, determining an optimal treatment approach for these malignancies is of growing importance. Prognosis generally remains poor, with BM being a significant predictor of overall survival. Our review indicated large variability in outcomes both between and within primary tumor types, suggesting a need for further investigation of predictive molecular biomarkers. In addition, to the authors' knowledge, this represents the first reported case of pNET BM successfully treated with SRS.
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Affiliation(s)
- Paul M Harary
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Yusuke S Hori
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Shreyas Annagiri
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Amit R L Persad
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Louisa Ustrzynski
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Sara C Emrich
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Armine Tayag
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - David J Park
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
| | - Steven D Chang
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
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5
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Tsujimoto R, Kurokawa R, Yamamoto A, Kawaguchi Y, Miyashita M, Hasegawa K, Abe O. Epidermoid Cyst in an Intrapancreatic Accessory Spleen Complicating Clinical Decision-Making: A Case Report With Characteristic Imaging Findings. Cureus 2024; 16:e69957. [PMID: 39445281 PMCID: PMC11496593 DOI: 10.7759/cureus.69957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2024] [Indexed: 10/25/2024] Open
Abstract
Epidermoid cyst in intrapancreatic accessory spleen (ECIPAS) is a rare benign condition that occasionally mimic malignant pancreatic neoplasms. We present a case of ECIPAS in a 53-year-old asymptomatic male, initially discovered incidentally during imaging for a suspected hepatic hemangioma. The lesion, located in the pancreatic tail, demonstrated characteristic imaging features on contrast-enhanced computed tomography and superparamagnetic iron oxide (SPIO)-enhanced magnetic resonance imaging (MRI), including a cystic component with peripheral solid tissue exhibiting splenic enhancement patterns. Despite these typical ECIPAS findings, the lesion increased in size from 38 × 33 mm to 50 × 45 mm over 12 months, accompanied by a significant rise in serum carbohydrate antigen 19-9 (CA19-9) from 21 to 330 U/mL. This clinical progression raised concerns about potential malignancy, leading to a robot-assisted spleen-preserving distal pancreatectomy. Histopathological examination confirmed the diagnosis of ECIPAS. Postoperatively, the patient's serum CA19-9 levels normalized. This case highlights that ECIPAS can complicate clinical decision-making through size increase and CA19-9 elevation, complicating preoperative diagnosis. However, careful analysis of imaging characteristics, particularly on SPIO-enhanced MRI, can aid in accurate diagnosis.
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Affiliation(s)
| | | | | | | | - Mari Miyashita
- Hepato-Biliary-Pancreatic Surgery, The University of Tokyo, Tokyo, JPN
| | - Kiyoshi Hasegawa
- Hepato-Biliary-Pancreatic Surgery, The University of Tokyo, Tokyo, JPN
| | - Osamu Abe
- Radiology, The University of Tokyo, Tokyo, JPN
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Berger F, Ingenerf M, Auernhammer CJ, Cyran C, Ebner R, Zacherl M, Ricke J, Schmid-Tannwald C. [Imaging of pancreatic neuroendocrine tumors]. RADIOLOGIE (HEIDELBERG, GERMANY) 2024; 64:559-567. [PMID: 38789854 DOI: 10.1007/s00117-024-01316-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/24/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND Neuroendocrine tumors of the pancreas have a broad biological spectrum. The treatment decision is based on an optimal diagnosis with regard to the local findings and possible locoregional and distant metastases. In addition to purely morphologic imaging procedures, functional parameters are playing an increasingly important role in imaging. OBJECTIVES Prerequisites for optimal imaging of the pancreas, technical principles are provided, and the advantages and disadvantages of common cross-sectional imaging techniques as well as clinical indications for these special imaging methods are discussed. MATERIALS AND METHODS Guidelines, basic and review papers will be analyzed. RESULTS Neuroendocrine tumors of the pancreas have a broad imaging spectrum. Therefore, there is a need for multimodality imaging in which morphologic and functional techniques support each other. While positron emission tomography/computed tomography (PET/CT) can determine the presence of one or more lesions and its/their functional status of the tumor, magnetic resonance imaging (MRI) efficiently identifies the location, relationship to the main duct and the presence of liver metastases. CT allows a better vascular evaluation, even in the presence of anatomical variants as well as sensitive detection of lung metastases. CONCLUSIONS Knowledge of the optimal combination of imaging modalities including clinical and histopathologic results and dedicated imaging techniques is essential to achieve an accurate diagnosis to optimize treatment decision-making and to assess therapy response.
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Affiliation(s)
- Frank Berger
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Maria Ingenerf
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Christoph J Auernhammer
- Medizinische Klinik und Poliklinik 4, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Clemens Cyran
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Ricarda Ebner
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
| | - Mathias Zacherl
- Klinik für Nuklearmedizin, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Jens Ricke
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland
| | - Christine Schmid-Tannwald
- Klinik und Poliklinik für Radiologie, Klinikum der Universität München, LMU München, München, Deutschland.
- Interdiziplinäres Zentrum für Neuroendokrine Tumoren des GastroEnteroPankreatischen Systems GEPNET-KUM (ENETS certified CoE), München, Deutschland.
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Ferreira Dalla Pria HR, Sharbidre KG, Virarkar M, Javadi S, Bhosale H, Maxwell J, Lall C, Morani AC. Imaging Update for Hereditary Abdominopelvic Neuroendocrine Neoplasms. J Comput Assist Tomogr 2024; 48:533-544. [PMID: 37832535 DOI: 10.1097/rct.0000000000001547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2023]
Abstract
ABSTRACT Neuroendocrine neoplasms have shown a linear increase in incidence and prevalence in recent decades, primarily due to improved cross-sectional imaging, expanded use of endoscopic procedures, and advanced genetic analysis. However, diagnosis of hereditary neuroendocrine tumors is still challenging because of heterogeneity in their presentation, the variety of tumor locations, and multiple associated syndromes. Radiologists should be familiar with the spectrum of these tumors and associated hereditary syndromes. Furthermore, as the assessment of multiple tumor elements such as morphology, biochemical markers, and presence of metastatic disease are essential for the treatment plan, conventional anatomic and functional imaging methods are fundamental in managing and surveilling these cases. Our article illustrates the role of different cross-sectional imaging modalities in diagnosing and managing various hereditary abdominopelvic neuroendocrine tumors.
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Affiliation(s)
| | - Kedar G Sharbidre
- Abdominal Imaging Section, Department of Radiology, University of Alabama at Birmingham, AL
| | - Mayur Virarkar
- Department of Radiology, University of Florida College of Medicine-Jacksonville, FL
| | - Sanaz Javadi
- Department of Abdominal Imaging, Division of Diagnostic Imaging
| | | | - Jessica Maxwell
- Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Chandana Lall
- Department of Radiology, University of Florida College of Medicine-Jacksonville, FL
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8
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Khristenko E, Gaida MM, Tjaden C, Steinle V, Loos M, Krieger K, Weber TF, Kauczor HU, Klauß M, Mayer P. Imaging differentiation of solid pseudopapillary neoplasms and neuroendocrine neoplasms of the pancreas. Eur J Radiol Open 2024; 12:100576. [PMID: 38882634 PMCID: PMC11176946 DOI: 10.1016/j.ejro.2024.100576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 05/21/2024] [Accepted: 05/29/2024] [Indexed: 06/18/2024] Open
Abstract
Purpose The present study aimed to compare the computed tomography (CT) and magnetic resonance imaging (MRI) features of solid pseudopapillary neoplasms (SPNs) and pancreatic neuroendocrine neoplasms (pNENs). Method Lesion imaging features of 39 patients with SPNs and 127 patients with pNENs were retrospectively extracted from 104 CT and 91 MRI scans. Results Compared to pNEN patients, SPN patients were significantly younger (mean age 51.8 yrs versus 32.7 yrs) and more often female (female: male ratio, 5.50:1 versus 1.19:1). Most SPNs and pNENs presented as well-defined lesions with an expansive growth pattern. SPNs more often appeared as round or ovoid lesions, compared to pNENs which showed a lobulated or irregular shape in more than half of cases (p<0.01). A surrounding capsule was detected in the majority of SPNs, but only in a minority of pNENs (<0.01). Hemorrhage occurred non-significantly more often in SPNs (p=0.09). Signal inhomogeneity in T1-fat-saturated (p<0.01) and T2-weighted imaging (p=0.046) as well as cystic degeneration (p<0.01) were more often observed in SPNs. Hyperenhancement in the arterial and portal-venous phase was more common in pNENs (p<0.01). Enlargement of locoregional lymph nodes (p<0.01) and liver metastases (p=0.03) were observed in some pNEN patients, but not in SPN patients. Multivariate logistic regression identified the presence of a capsule (p<0.01), absence of arterial hyperenhancement (p<0.01), and low patient age (p<0.01), as independent predictors for SPN. Conclusions The present study provides three key features for differentiating SPNs from pNENs extracted from a large patient cohort: presence of a capsule, absence of arterial hyperenhancement, and low patient age.
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Affiliation(s)
- Ekaterina Khristenko
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Matthias M Gaida
- Institute of Pathology, University Medical Center Mainz, JGU-Mainz, Mainz 55131, Germany
- Joint Unit Immunopathology, Institute of Pathology, University Medical Center, JGU-Mainz and TRON, Translational Oncology at the University Medical Center, JGU-Mainz, Mainz 55131, Germany
- Institute of Pathology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Christine Tjaden
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Verena Steinle
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Martin Loos
- Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Korbinian Krieger
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
- Department of Nuclear Medicine, Inselspital, University Hospital Bern, Bern 3010, Switzerland
| | - Tim F Weber
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Hans-Ulrich Kauczor
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Miriam Klauß
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
| | - Philipp Mayer
- Clinic for Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg 69120, Germany
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9
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Yamada M, Hara K, Mizuno N, Haba S, Kuwahara T, Okuno N, Kuraishi Y, Yanaidani T, Ishikawa S, Yasuda T, Fukui T. The role of needle-based confocal laser endomicroscopy in the diagnosis of pancreatic neuroendocrine tumors. Clin Endosc 2024; 57:393-401. [PMID: 37743070 PMCID: PMC11134000 DOI: 10.5946/ce.2023.068] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND/AIMS Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) is a highly accurate method for diagnosing pancreatic neuroendocrine tumors (PNETs); however, some PNETs are difficult to diagnose. Recently, the efficacy of needle-based confocal laser endomicroscopy (nCLE) in diagnosing solid pancreatic masses has been reported. However, the efficacy of nCLE in the diagnosis of PNETs remains unknown and only a small number of cases have been reported. Hence, this study aimed to evaluate the efficacy of nCLE in the diagnosis of PNETs. METHODS This single-center retrospective study evaluated 30 consecutive patients with suspected PNETs on contrast-enhanced computed tomography, who consented to nCLE combined with EUS-FNA and were diagnosed using EUS-FNA or surgical resection. The diagnostic criteria for PNETs using nCLE were based on the nesting and trabecular and glandular arrangement of tumor cell clusters surrounded by capillary vessels and fibrosis, as reported in previous studies. RESULTS The diagnosis using nCLE was classified into three categories: misdiagnosis in three cases (10%), non-diagnostic in six cases (20%), and diagnostic in 21 cases (70%). nCLE was able to diagnose PNET in one of the two cases with inconclusive EUS-FNA. CONCLUSIONS Although further development of the resolution and optimization of the diagnostic criteria are required, nCLE may constitute a useful diagnostic option in cases of inconclusive EUS-FNA for PNETs.
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Affiliation(s)
- Masanori Yamada
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Kazuo Hara
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Nobumasa Mizuno
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Shin Haba
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Takamichi Kuwahara
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Nozomi Okuno
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Yasuhiro Kuraishi
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Takafumi Yanaidani
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Sho Ishikawa
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Tsukasa Yasuda
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Toshitaka Fukui
- Department of Gastroenterology, Aichi Cancer Center Hospital, Nagoya, Japan
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10
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Alobuia WM, Kebebew E. Anatomical and Functional Imaging in the Management of VHL-Associated Pancreatic Lesions. VON HIPPEL-LINDAU DISEASE 2024:173-185. [DOI: 10.1007/978-3-031-53858-2_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
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11
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Juchems M, Kläsner B. [Neuroendocrine tumors of the pancreas]. RADIOLOGIE (HEIDELBERG, GERMANY) 2023; 63:894-899. [PMID: 37947864 DOI: 10.1007/s00117-023-01231-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/13/2023] [Indexed: 11/12/2023]
Abstract
CLINICAL/METHODOLOGICAL ISSUE Neuroendocrine tumors (NET) of the pancreas fall into the group of gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN). The assignment of imaging morphological criteria to this heterogeneous group of complex tumors is often difficult. STANDARD RADIOLOGICAL METHODS Diagnostic ultrasound, computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography-CT (PET/CT) are available for the detection of pancreatic NET (also referred to as NEN) and for the diagnosis of spread and the search for metastases. METHODOLOGICAL INNOVATIONS In particular, nuclear medicine examination methods with somatostatin analogues are of high value, since they make tumors visible with high sensitivity via radioactively labeled receptor ligands. PERFORMANCE CT and MRI have high detection rates of pancreatic NET. Further developments, such as diffusion imaging, have further improved these traditional cross-sectional imaging diagnostics. However, nuclear medicine methods are an important component in detection and are superior to CT and MRI. ACHIEVEMENTS It is important for the radiologist to be familiar with NET of the pancreas, as it is an important differential diagnosis-also with regard to prognosis-of other pancreatic lesions. PRACTICAL RECOMMENDATIONS Because NET are often hypervascularized, a biphasic examination technique after contrast administration is mandatory for cross-sectional imaging. PET/CT with somatostatin analogues should be performed for further diagnosis.
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Affiliation(s)
- Markus Juchems
- Zentrum für Diagnostische und Interventionelle Radiologie im GLKN, Klinikum Konstanz, 78464, Konstanz, Deutschland.
| | - Benjamin Kläsner
- Klinik für Nuklearmedizin, Klinikum Konstanz, Konstanz, Deutschland
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12
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Vogele D, Schmidt SA, Gnutzmann D, Thaiss WM, Ettrich TJ, Kornmann M, Beer M, Juchems MS. Gastroenteropancreatic Neuroendocrine Tumors-Current Status and Advances in Diagnostic Imaging. Diagnostics (Basel) 2023; 13:2741. [PMID: 37685279 PMCID: PMC10486652 DOI: 10.3390/diagnostics13172741] [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: 07/17/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
Gastroenteropancreatic neuroendocrine neoplasia (GEP-NEN) is a heterogeneous and complex group of tumors that are often difficult to classify due to their heterogeneity and varying locations. As standard radiological methods, ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography-computed tomography (PET/CT) are available for both localization and staging of NEN. Nuclear medical imaging methods with somatostatin analogs are of great importance since radioactively labeled receptor ligands make tumors visible with high sensitivity. CT and MRI have high detection rates for GEP-NEN and have been further improved by developments such as diffusion-weighted imaging. However, nuclear medical imaging methods are superior in detection, especially in gastrointestinal NEN. It is important for radiologists to be familiar with NEN, as it can occur ubiquitously in the abdomen and should be identified as such. Since GEP-NEN is predominantly hypervascularized, a biphasic examination technique is mandatory for contrast-enhanced cross-sectional imaging. PET/CT with somatostatin analogs should be used as the subsequent method.
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Affiliation(s)
- Daniel Vogele
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; (S.A.S.); (W.M.T.); (M.B.)
| | - Stefan A. Schmidt
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; (S.A.S.); (W.M.T.); (M.B.)
| | - Daniel Gnutzmann
- Department of Diagnostic and Interventional Radiology, Konstanz Hospital, Mainaustraße 35, 78464 Konstanz, Germany; (D.G.); (M.S.J.)
| | - Wolfgang M. Thaiss
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; (S.A.S.); (W.M.T.); (M.B.)
- Department of Nuclear Medicine, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Thomas J. Ettrich
- Department of Internal Medicine I, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany;
- i2SouI—Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany;
| | - Marko Kornmann
- i2SouI—Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany;
- Department of General and Visceral Surgery, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany
| | - Meinrad Beer
- Department of Diagnostic and Interventional Radiology, Ulm University Medical Center, Albert-Einstein-Allee 23, 89081 Ulm, Germany; (S.A.S.); (W.M.T.); (M.B.)
- i2SouI—Innovative Imaging in Surgical Oncology Ulm, University Hospital of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany;
| | - Markus S. Juchems
- Department of Diagnostic and Interventional Radiology, Konstanz Hospital, Mainaustraße 35, 78464 Konstanz, Germany; (D.G.); (M.S.J.)
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13
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Bajaj S, Gandhi D, Nayar D, Serhal A. Von Hippel-Lindau Disease (VHL): Characteristic Lesions with Classic Imaging Findings. J Kidney Cancer VHL 2023; 10:23-31. [PMID: 37555195 DOI: 10.4103/vhl.vhl_10_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/22/2023] [Indexed: 12/14/2024] Open
Abstract
Von Hippel-Lindau disease (VHL) is a multisystem cancer syndrome caused by the inactivation of the VHL tumor suppressor gene and involves various organ systems including the central nervous system (CNS), endocrine system, and the kidneys. Tumors seen in patients with VHL disease can be benign or malignant and are usually multifocal, bilateral, and hypervascular in nature. As most lesions associated with VHL are asymptomatic initially, early diagnosis and the institution of an evidence-based surveillance protocol are of paramount importance. Screening, surveillance, and genetic counseling are key aspects in the management of patients diagnosed with VHL disease and often require a multidisciplinary approach and referral to specialized centers. This article will discuss the characteristic lesions seen with VHL disease, their diagnosis, screening protocols and management strategies, as well as an illustrative case to demonstrate the natural progression of the disease with classic imaging findings.
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Affiliation(s)
- Suryansh Bajaj
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Darshan Gandhi
- Department of Diagnostic Radiology, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Divya Nayar
- Department of Neurology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ali Serhal
- Department of Musculoskeletal Radiology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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14
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Taya M, Hecht EM, Huang C, Lo GC. Pancreatic Cystic Lesions: Imaging Techniques and Diagnostic Features. Gastrointest Endosc Clin N Am 2023; 33:497-518. [PMID: 37245932 DOI: 10.1016/j.giec.2023.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
The detection of incidental pancreatic cystic lesions has increased over time. It is crucial to separate benign from potentially malignant or malignant lesions to guide management and reduce morbidity and mortality. The key imaging features used to fully characterize cystic lesions are optimally assessed by contrast-enhanced magnetic resonance imaging/magnetic resonance cholangiopancreatography, with pancreas protocol computed tomography offering a complementary role. While some imaging features have high specificity for a particular diagnosis, overlapping imaging features between diagnoses may require further investigation with follow-up diagnostic imaging or tissue sampling.
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Affiliation(s)
- Michio Taya
- Department of Radiology, New York Presbyterian - Weill Cornell Medicine, 520 East 70th Street, Starr 8a, New York, NY 10021, USA
| | - Elizabeth M Hecht
- Department of Radiology, New York Presbyterian - Weill Cornell Medicine, 520 East 70th Street, Starr 8a, New York, NY 10021, USA
| | - Chenchan Huang
- Department of Radiology, NYU Grossman School of Medicine, 560 1st Avenue, 2F, New York, NY 10016, USA
| | - Grace C Lo
- Department of Radiology, New York Presbyterian - Weill Cornell Medicine, 520 East 70th Street, Starr 8a, New York, NY 10021, USA.
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15
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Liu JB, Gu QB, Liu P. Inflammatory myofibroblastic tumor of the pancreatic neck misdiagnosed as neuroendocrine tumor: A case report. World J Gastroenterol 2023; 29:3216-3221. [PMID: 37346157 PMCID: PMC10280791 DOI: 10.3748/wjg.v29.i20.3216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 04/21/2023] [Accepted: 05/04/2023] [Indexed: 05/26/2023] Open
Abstract
BACKGROUND Inflammatory myofibroblastic tumor (IMT) is a relatively rare tumor. The global incidence of IMT is less than 1%. There is no specific clinical manifestation. It usually occurs in the lungs, but the pancreas is not the predilection site.
CASE SUMMARY We present a case of a male patient, 51 years old, who was diagnosed with a pancreatic neck small mass on ultrasound one year ago during a physical examination. As he had no clinical symptoms and the mass was relatively small, he did not undergo treatment. However, the mass was found to be larger on review, and he was referred to our hospital. Since the primal clinical diagnosis was pancreatic neuroendocrine tumor, the patient underwent surgical treatment. However, the case was confirmed as pancreatic IMT by postoperative pathology.
CONCLUSION Pancreatic IMT is relatively rare and easily misdiagnosed. We can better under-stand and correctly diagnose this disease by this case report.
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Affiliation(s)
- Jia-Bei Liu
- Department of Radiology, The First Affiliated Hospital of Hunan Normal University, Hunan Provincial People’s Hospital, Changsha 410005, Hunan Province, China
| | - Qian-Biao Gu
- Department of Radiology, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People’s Hospital), Changsha 410005, Hunan Province, China
| | - Peng Liu
- Department of Radiology, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People’s Hospital), Changsha 410005, Hunan Province, China
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16
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Vieira RMF, Souza Junior ASD, Kerche LE. CYSTIC PANCREATIC LESIONS: IMAGING VERSUS ANATOMOPATHOLOGICAL FINDINGS-HOW TO IMPROVE DIAGNOSTIC ACCURACY? ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA : ABCD = BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY 2023; 36:e1735. [PMID: 37255104 DOI: 10.1590/0102-672020230017e1735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 01/15/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND Pancreatic cystic lesions are a group of pancreatic neoplasms with different behavior and risk of malignancy. Imaging diagnosis and differentiation of these lesions remain a challenge. AIMS The aim of this study was to evaluate the agreement between computed tomography and/or magnetic resonance imaging and post-operative pathologic diagnoses of Pancreatic cystic lesions in a University Hospital of São Paulo State. METHODS A total of 39 patients with surgically diagnosed Pancreatic cystic lesions were enrolled, as a study cohort from 2009 to 2019. Preoperative radiological and final pathological diagnosis was correlated to measure computed tomography and/or magnetic resonance imaging diagnostic. Pancreatic adenocarcinoma, choledochal pancreatic cyst, mucinous cystadenoma, serous cystadenoma, intraductal papillary mucinous neoplasms, and pancreatic pseudocyst were classified as neoplastic cysts. RESULTS It was noted that 27 patients (69.23%) had preoperative computed tomography and magnetic resonance imaging, 11 patients (28.20%) had preoperative computed tomography only, and 1 patient had preoperative magnetic resonance imaging only. The values for diagnoses made only with computed tomography (p=0.47) and from the combination of computed tomography+magnetic resonance imaging (p=0.50) did also point to moderate agreement with the anatomopathological findings. The values pointed to a fair agreement for the diagnosis of mucinous cystadenoma (p=0.3), moderate agreement for intraductal papillary mucinous neoplasms (p= 0.41), good agreement for serous cystadenoma (p=0.79), and excellent agreement for choledochal pancreatic cyst (p=1), pancreatic pseudocyst (p=0.84), and Frantz tumor (p=1) (p<0.05). CONCLUSIONS The findings of computed tomography and/or magnetic resonance imaging have an equivalent diagnostic agreement with an anatomopathological diagnosis for differentiating benign from malignant Pancreatic cystic lesions and in suggesting a specific diagnosis. There is no statistical difference between the use of computed tomography alone and computed tomography+magnetic resonance imaging in the improvement of diagnostic accuracy.
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Affiliation(s)
- Rafael Mello Fontolan Vieira
- Cancer Regional Hospital, Hepatobiliopancreatic Oncological Digestive Surgery - Presidente Prudente (SP), Brazil
| | | | - Leandra Ernst Kerche
- Faculty of Medicine of Oeste Paulista, Functional Sciences Department - Presidente Prudente (SP), Brazil
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17
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Zhao Q, Dong A, He T, Zuo C. Somatostatin Receptor PET Imaging in Diffuse Pancreatic Neuroendocrine Tumor. Clin Nucl Med 2023; 48:453-456. [PMID: 36754358 DOI: 10.1097/rlu.0000000000004603] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
ABSTRACT Somatostatin receptor imaging findings of pancreatic neuroendocrine tumor with diffuse involvement of the pancreas are rarely reported. We present somatostatin receptor PET imaging findings in 3 cases of diffuse pancreatic neuroendocrine tumor. One case showed diffuse swelling and diffusely intense activity of the pancreas with multiple metastases in the peripancreatic lymph nodes and liver. The other 2 cases showed diffusely intense activity of the pancreas without metastasis. The pancreatic tumor extended into the duodenum in all the 3 cases. Familiarity with this rare pattern of radiotracer uptake in pancreatic neuroendocrine tumor may be helpful for the diagnosis.
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Affiliation(s)
- Qian Zhao
- From the Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
| | | | - Tianlin He
- Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
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18
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Chen H, Li Z, Hu Y, Xu X, Ye Z, Lou X, Zhang W, Gao H, Qin Y, Zhang Y, Chen X, Chen J, Tang W, Yu X, Ji S. Maximum Value on Arterial Phase Computed Tomography Predicts Prognosis and Treatment Efficacy of Sunitinib for Pancreatic Neuroendocrine Tumours. Ann Surg Oncol 2023; 30:2988-2998. [PMID: 36310316 DOI: 10.1245/s10434-022-12693-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 10/06/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE This study was designed to assess the computed tomography maximum (CTmax) value on pretherapeutic arterial phase computed tomography (APCT) images to predict pancreatic neuroendocrine tumours (pNETs) recurrence and clarify its role in predicting the outcome of tumour therapy. METHODS This retrospective study enrolled 250 surgical patients and 24 nonsurgical patients with sunitinib-based treatment in our hospital from 2008 to 2019. CT images were assessed, the maximum value was defined as "CTmax," and recurrence-free survival (RFS) or progression-free survival (PFS) was compared between a high-CTmax group and a low-CTmax group among patients who underwent surgical resection or nonsurgical, sunitinib-based treatment according to the CTmax cutoff value. RESULTS In ROC curve analysis, a CTmax of 108 Hounsfield units, as the cutoff value, achieved an AUC of 0.796 in predicting recurrence. Compared with the low-CTmax group, the high-CTmax group had a longer RFS (p < 0.001). Low CTmax was identified as an independent factor for RFS (p < 0.001) in multivariate analysis; these results were confirmed using the internal validation set. The CTmax value was significantly correlated with the microvascular density (MVD) value (p < 0.001) and the vascular endothelial growth factor receptor 2 (VEGFR2) score (p < 0.001). Furthermore, the high-CTmax group had a better PFS than the low-CTmax group among the sunitinib treatment group (p = 0.007). CONCLUSIONS The tumour CTmax on APCT might be a potential and independent indicator for predicting recurrence in patients who have undergone surgical resection and assessing the efficacy of sunitinib for patients with advanced metastatic pNETs.
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Affiliation(s)
- Haidi Chen
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Zheng Li
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Yuheng Hu
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xiaowu Xu
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Zeng Ye
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xin Lou
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wuhu Zhang
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Heli Gao
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Yi Qin
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Yue Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The Third Affiliated Hospital of Suzhou University, The First People's Hospital of Changzhou, Changzhou, China
| | - Xuemin Chen
- Department of Hepatobiliary and Pancreatic Surgery, The Third Affiliated Hospital of Suzhou University, The First People's Hospital of Changzhou, Changzhou, China
| | - Jie Chen
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Pancreatic Cancer Institute, Shanghai, China
- Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Wei Tang
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Xianjun Yu
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Shunrong Ji
- Center for Neuroendocrine Tumors, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Shanghai Pancreatic Cancer Institute, Shanghai, China.
- Pancreatic Cancer Institute, Fudan University, Shanghai, China.
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Konstantinoff KS, Morani AC, Hope TA, Bhosale PR, Francis IR, Yano M, Iravani A, Trikalinos NA, Itani M. Pancreatic neuroendocrine tumors: tailoring imaging to specific clinical scenarios. Abdom Radiol (NY) 2023; 48:1843-1853. [PMID: 36737523 DOI: 10.1007/s00261-022-03737-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 02/05/2023]
Abstract
The clinical and imaging presentation of pancreatic neuroendocrine tumors (PanNETs) is variable and depends on tumor grade, stage, and functional status. This degree of variability combined with a multitude of treatment options and imaging modalities results in complexity when choosing the most appropriate imaging studies across various clinical scenarios. While various guidelines exist in the management and evaluation of PanNETs, there is an overall lack of consensus and detail regarding optimal imaging guidelines and protocols. This manuscript aims to fill gaps where current guidelines may lack specificity regarding the choice of the most appropriate imaging study in the diagnosis, treatment planning, monitoring, and surveillance of PanNETs under various clinical scenarios.
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Affiliation(s)
- Katerina S Konstantinoff
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA
| | - Ajaykumar C Morani
- Department of Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Thomas A Hope
- Department of Radiology and Biomedical Imaging, The University of California, San Francisco, 185 Berry Street Lobby 6, San Francisco, CA, 94107, USA
| | - Priya R Bhosale
- Department of Radiology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Isaac R Francis
- Department of Radiology, Michigan Medicine, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Motoyo Yano
- Department of Radiology, Mayo Clinic Hospital, 5777 E. Mayo Blvd, Phoenix, AZ, 85054, USA
| | - Amir Iravani
- Department of Radiology, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, USA
| | - Nikolaos A Trikalinos
- Department of Internal Medicine, Washington University School of Medicine, 660 South Euclid Avenue, St. Louis, MO, 63110, USA
| | - Malak Itani
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St. Louis, MO, 63110, USA.
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20
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Ren SJ, Wang X, Ke NW, Tan QQ, Yang F, Yao WQ, Tan CL, Liu XB. Clinicopathological features and long-term prognosis of purely cystic pancreatic neuroendocrine tumors: A single-center experience. Asian J Surg 2023; 46:774-779. [PMID: 35850904 DOI: 10.1016/j.asjsur.2022.07.029] [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: 08/16/2021] [Revised: 12/12/2021] [Accepted: 07/07/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Pancreatic neuroendocrine tumors (pNETs) are heterogenous neoplasms, of which the prognosis varies widely. Purely cystic pancreatic neuroendocrine tumors (C-pNETs) are a small subset of pNETs in which data are extremely rare. This study aimed to compare clinicopathological and long-term survival differences between C-pNETs and solid pNETs (S-pNETs). METHODS A retrospective review of 242 patients with pNETs underwent resection in our institution from 2009 to 2019 was conducted. Demography characteristics, clinicopathological features and long-term outcomes of them were analyzed. RESULTS Sixteen out of 242 patients (6.6%) were identified as C-pNETs. Compared with S-pNETs, C-pNETs were more frequently non-functional (75% vs 45%, P = 0.02), and the median tumor diameter of C-pNETs was smaller (36 mm vs. 47 mm, P = 0.001). And the accuracy of preoperative diagnosis of C-pNETs was significantly lower (31% vs 78%, P = 0.001). Of note, the majority of C-pNETs were well-differentiated with G1 (81% vs 35%, P = 0.001). And there were no G3 (0 vs 7%, P = 0.001) in C-pNETs. No T4 stage or R1/R2 surgical margin detected in C-pNETs. And only one C-pNETs (6%) had regional lymph node metastasis (N) or synchronous distant metastasis (M). Additionally, only one patient with C-pNETs (6%) suffered tumor recurrence, compared with 24 (13%) for S-pNETs. And survival analysis showed the patients with C-pNETs seemed to be with better disease-free survival (P = 0.26). CONCLUSION C-pNETs are rare subtype with possibly less aggressive behavior comparing with their solid counterparts. Recurrence and tumor-related death still occurs in patients with resected C-pNETs, although they tend to be with more favorable prognosis.
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Affiliation(s)
- Shu-Jie Ren
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Xing Wang
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Neng-Wen Ke
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Qing-Quan Tan
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Fan Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Wen-Qing Yao
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Chun-Lu Tan
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
| | - Xu-Bao Liu
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
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21
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He M, Wang X, Xu J, Li J, Chang X, Zins M, Jin Z, Xue H. Diffuse Involvement of Pancreas is not Always Autoimmune Pancreatitis. Acad Radiol 2022; 29:1523-1531. [PMID: 35279380 DOI: 10.1016/j.acra.2022.01.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/09/2022] [Accepted: 01/16/2022] [Indexed: 02/07/2023]
Abstract
RATIONALE AND OBJECTIVES To determine the prevalence of diffuse involvement of pancreas and to identify the findings of malignancies using enhancement computed tomography (CT). MATERIALS AND METHODS A total of 1,0249 patients performed enhancement CT in our hospital over 62 months were investigated and the final study cohort includes 245 patients (170 males, 75 females; mean age, 56.94 ± 12.17 years). The reference standard is the final clinical/pathological diagnosis. The lesion-to-aorta enhancement ratio (LAR) on the pancreatic arterial phase, portal phase and delayed phase (DP) and the traditional CT findings were evaluated. Intergroup comparisons between malignancies and non-malignancies lesions were performed. Univariate and multivariate analyses were conducted to identify findings predicting malignancies. RESULTS The prevalence of malignancy was 45.3% (111/245) of diffuse enlargement of pancreas. All benign lesions were autoimmune pancreatitis 54.7% (n = 134). The most common malignant lesion was pancreatic ductal adenocarcinoma (n = 88, 35.9%). Other rare lesions with malignant potential included pancreatic neuroendocrine tumor (n = 11, 4.5%), lymphoma (n = 4, 1.6%), metastasis (n = 4, 1.6%), solid pseudopapillary neoplasm (n = 3, 1.2%) and acinar cell carcinoma (n = 1, 0.4%). Residual normal pancreas parenchyma, heterogeneity, short axis (cut-off value, 3.15 cm) and LARDP (cut-off value, 0.75) were independent predictors of malignancies. When the above predictors were combined, a sensitivity of 94.2%, a specificity of 90.8% were attained. CONCLUSION Diffuse involvement of the pancreas is rare and is not a specific sign of autoimmune pancreatitis, and it is associated with a wide spectrum of malignant conditions. Dynamic enhancement CT is helpful to identifying malignancies.
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Affiliation(s)
- Ming He
- Department of Radiology, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, People's Republic of China; Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China
| | - Xiheng Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China
| | - Jin Xu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China
| | - Juan Li
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China
| | - Xiaoyan Chang
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Marc Zins
- Department of Rathology, Groupe Hospitalier Paris Saint Joseph, Paris, France
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China
| | - Huadan Xue
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shuaifuyuan No.1, Dongcheng District, Beijing 100703, China.
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22
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Abstract
Early detection of high-risk pancreatic cystic lesions enables potentially curative surgical resection, and early detection of lesions without worrisome features may lead to appropriate surveillance. Regrettably, differentiating premalignant and malignant cysts from nonmalignant ones remains challenging. However, emerging additional diagnostic tools, including the needle biopsy with microforceps and needle-based confocal laser endomicroscopy, are of exciting potential along with cyst fluid analysis".
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Affiliation(s)
- Sahin Coban
- Department of Gastroenterology, Mount Auburn Hospital, 330 Mt Auburn St, Cambridge, MA 02138, USA.
| | - Omer Basar
- Department of Gastroenterology, The University of Missouri, Columbia, MO 65211, USA
| | - William R Brugge
- Department of Gastroenterology, Harvard Medical School, Mount Auburn Hospital, 330 Mt Auburn St, Cambridge, MA 02138, USA
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23
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Aberrant transcription factors in the cancers of the pancreas. Semin Cancer Biol 2022; 86:28-45. [PMID: 36058426 DOI: 10.1016/j.semcancer.2022.08.011] [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: 06/13/2022] [Revised: 08/15/2022] [Accepted: 08/29/2022] [Indexed: 11/21/2022]
Abstract
Transcription factors (TFs) are essential for proper activation of gene set during the process of organogenesis, differentiation, lineage specificity. Reactivation or dysregulation of TFs regulatory networks could lead to deformation of organs, diseases including various malignancies. Currently, understanding the mechanism of oncogenesis became necessity for the development of targeted therapeutic strategy for different cancer types. It is evident that many TFs go awry in cancers of the pancreas such as pancreatic ductal adenocarcinoma (PDAC) and pancreatic neuroendocrine neoplasms (PanNENs). These mutated or dysregulated TFs abnormally controls various signaling pathways in PDAC and PanNENs including RTK, PI3K-PTEN-AKT-mTOR, JNK, TGF-β/SMAD, WNT/β-catenin, SHH, NOTCH and VEGF which in turn regulate different hallmarks of cancer. Aberrant regulation of such pathways have been linked to the initiation, progression, metastasis, and resistance in pancreatic cancer. As of today, a number of TFs has been identified as crucial regulators of pancreatic cancer and a handful of them shown to have potential as therapeutic targets in pre-clinical and clinical settings. In this review, we have summarized the current knowledge on the role and therapeutic usefulness of TFs in PDAC and PanNENs.
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24
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Inoue M, Ohmori I, Watanabe A, Kajikawa R, Kajiwara R, Sawada H, Miyamoto K, Ikeda M, Toyota K, Sadamoto S, Takahashi T. A duodenal gastrointestinal stromal tumor mimicking a pancreatic neuroendocrine tumor: a case report. J Med Case Rep 2022; 16:308. [PMID: 35974415 PMCID: PMC9380295 DOI: 10.1186/s13256-022-03468-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 05/26/2022] [Indexed: 11/25/2022] Open
Abstract
Background Duodenal gastrointestinal stromal tumors are rare. If tumor growth is extraluminal and involves the head of the pancreas, the diagnosis of a duodenal gastrointestinal stromal tumor is difficult. Case presentation A 44-year-old Japanese woman was referred to our hospital with anemia. An enhanced computed tomography scan showed a hypervascular mass 30 mm in diameter, but the origin of the tumor, either the duodenum or the head of the pancreas, was unclear. Upper gastrointestinal endoscopy revealed bulging accompanied by erosion and redness in part of the duodenal bulb. Mucosal biopsy was not diagnostic. Endoscopic ultrasound fine-needle aspiration was difficult to perform because a pulsating blood vessel was present in the region to be punctured. These findings led to a diagnosis of pancreatic neuroendocrine tumor invasion to the duodenum. The patient underwent pancreaticoduodenectomy. Histologically, the tumor was made up of spindle-shaped cells immunohistochemically positive for c-Kit and CD34. The tumor was ultimately diagnosed as a duodenal gastrointestinal stromal tumor. Conclusion Extraluminal duodenal gastrointestinal stromal tumors are rare and mimic pancreatic neuroendocrine tumors. Endoscopic ultrasound fine-needle aspiration is useful for preoperative diagnosis, but it is not possible in some cases. Intraoperative diagnosis based on a completely resected specimen of the tumor may be useful for modifying the surgical technique.
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Affiliation(s)
- Masashi Inoue
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan.
| | - Ichiro Ohmori
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Atsuhiro Watanabe
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Ryujiro Kajikawa
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Ryotaro Kajiwara
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Hiroyuki Sawada
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Kazuaki Miyamoto
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Masahiro Ikeda
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Kazuhiro Toyota
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Seiji Sadamoto
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan
| | - Tadateru Takahashi
- Department of Surgery, National Hospital Organization Higashihiroshima Medical Center, 513 Jike, Saijo-cho, Higashihiroshima, 739-0041, Japan.,Department of Gastrointestinal and Transplant Surgery, Applied Life Sciences, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
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25
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Wang MX, Guccione J, Korivi BR, Abdelsalam ME, Klimkowski SP, Soliman M, Shalaby AS, Elsayes KM. Gastrointestinal bleeding: imaging and interventions in cancer patients. Br J Radiol 2022; 95:20211158. [PMID: 35451853 PMCID: PMC10996309 DOI: 10.1259/bjr.20211158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 04/03/2022] [Accepted: 04/05/2022] [Indexed: 11/05/2022] Open
Abstract
Gastrointestinal bleeding (GIB) among cancer patients is a major source of morbidity and mortality. Although a wide variety of etiologies contribute to GIB, special considerations should be made for cancer-related factors such as the type of malignancy, location and extent of disease, hemostatic parameters, and treatment effects. Key imaging modalities used to evaluate GIB include computed tomography angiography (CTA), radionuclide imaging, and catheter-based angiography. Understanding the cancer and treatment history and recognizing the associated imaging manifestations are important for identifying the source and potential causes of GIB in cancer patients. This article will review the common clinical presentations, causes, imaging manifestations, and angiographic management of GIB in cancer patients.
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Affiliation(s)
- Mindy X Wang
- Department of Diagnostic Imaging, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
| | | | - Brinda Rao Korivi
- Department of Diagnostic Imaging, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
| | - Mohamed E Abdelsalam
- Department of Interventional Radiology, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
| | - Sergio P Klimkowski
- Department of Diagnostic Imaging, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
| | - Moataz Soliman
- Department of Diagnostic Radiology, Northwestern University
Evanston, IL,
USA
| | - Ahmed S Shalaby
- Department of Diagnostic Imaging, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
| | - Khaled M Elsayes
- Department of Diagnostic Imaging, University of Texas MD
Anderson Cancer Center, Houston,
TX, United States
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26
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Zeng P, Ma L, Liu J, Song Z, Liu J, Yuan H. The diagnostic value of intravoxel incoherent motion diffusion-weighted imaging for distinguishing nonhypervascular pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas. Eur J Radiol 2022; 150:110261. [PMID: 35316674 DOI: 10.1016/j.ejrad.2022.110261] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/19/2022] [Accepted: 03/14/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE To primarily evaluate the diagnostic performance of the monoexponential and intravoxel incoherent motion (IVIM) diffusion weighted imaging (DWI) models for differentiating between nonhypervascular pancreatic neuroendocrine tumors (PNETs) and pancreatic ductal adenocarcinomas (PDACs). METHODS 63 patients with PNETs (35 nonhypervascular PNETs and 28 hypervascular PNETs) and 164 patients with PDACs were retrospectively enrolled in the study and underwent multiple b-value DWI. Intraobserver and interobserver reliabilities of DWI parameters were assessed by using the intraclass correlation coefficient (ICC). The parameters of apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion fraction (f) of nonhypervascular PNETs were compared with PDACs and hypervascular PNETs using the independent sample t test or the Mann-Whitney U test. The diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. RESULTS All DWI parameters values showed good to excellent intra- and interobserver agreements (ICC = 0.743-0.873). Nonhypervascular PNETs had significantly lower ADC and D, but significantly higher f than PDACs (P = 0.005, P < 0.001 and P < 0.001, respectively). ADC, D and f of nonhypervascular PNETs were lower than hypervascular PNETs (P = 0.001, <0.001 and 0.093, respectively). D* of nonhypervascular PNETs showed no statistically significant differences with PDACs and hypervascular PNETs (P = 0.809 and 0.420). D showed a higher area under the curve (AUC), followed by ADC and f (AUC = 0.885, 0.665 and 0.740, respectively) in differentiating nonhypervascular PNETs from PDACs. CONCLUSION Monoexponential and IVIM diffusion models are valuable to differentiate nonhypervascular PNETs from PDACs. D showed better performance than f and ADC.
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Affiliation(s)
- Piaoe Zeng
- Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China
| | - Lu Ma
- Department of Radiology, Tsinghua University Hospital, 30 Shuangqing Road, Beijing 100084, Beijing, China
| | - Jianfang Liu
- Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China
| | - Zixiu Song
- Department of Pathology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China
| | - Jianyu Liu
- Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China
| | - Huishu Yuan
- Department of Radiology, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, Beijing, China.
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27
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Arslan S, Sarıkaya Y, Akata D, Özmen MN, Karçaaltıncaba M, Karaosmanoğlu AD. Imaging findings of spontaneous intraabdominal hemorrhage: neoplastic and non-neoplastic causes. Abdom Radiol (NY) 2022; 47:1473-1502. [PMID: 35230499 DOI: 10.1007/s00261-022-03462-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/14/2022] [Accepted: 02/16/2022] [Indexed: 02/07/2023]
Abstract
Contrary to traumatic and iatrogenic intraabdominal hemorrhages, spontaneous intraabdominal hemorrhage is a challenging clinical situation. A variety of neoplastic and non-neoplastic conditions may cause spontaneous intraabdominal bleeding. Imaging findings vary depending on the source of bleeding and the underlying cause. In this article, we aim to increase the awareness of imagers to the most common causes of spontaneous intraabdominal hemorrhage by using representative cases.
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Affiliation(s)
- Sevtap Arslan
- Department of Radiology, Suhut State Hospital, 03800, Afyon, Turkey
| | - Yasin Sarıkaya
- Department of Radiology, Afyonkarahisar Health Sciences University, 03217, Afyon, Turkey
| | - Deniz Akata
- Department of Radiology, Hacettepe University School of Medicine, Sihhiye, 06230, Ankara, Turkey
| | - Mustafa Nasuh Özmen
- Department of Radiology, Hacettepe University School of Medicine, Sihhiye, 06230, Ankara, Turkey
| | - Muşturay Karçaaltıncaba
- Department of Radiology, Hacettepe University School of Medicine, Sihhiye, 06230, Ankara, Turkey
| | - Ali Devrim Karaosmanoğlu
- Department of Radiology, Hacettepe University School of Medicine, Sihhiye, 06230, Ankara, Turkey.
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28
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Wee JJ, Vu CKF, Ding CSL, Shelat VG. Intrapancreatic accessory spleen with an epidermoid cyst: a malignant mimicry. BMJ Case Rep 2022; 15:e247737. [PMID: 35165128 PMCID: PMC8845195 DOI: 10.1136/bcr-2021-247737] [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] [Accepted: 01/26/2022] [Indexed: 02/05/2023] Open
Abstract
With the liberal use of CT scan for clinical diagnosis, clinicians are faced with an increasing number of pancreatic incidentalomas. Compared with other incidentalomas, pancreatic incidentalomas have higher chances of future malignant transformation. There are many differential diagnoses, and epidermoid cyst in an intrapancreatic accessory spleen (ECIPAS) is extremely rare, with only a handful of reports. Preoperative diagnosis is often complicated, and the final diagnosis is usually only made after surgical resection.We report a 34-year-old man who had an incidentally noted 2.8 cm pancreatic tail cystic lesion on a CT scan done for urinary symptoms. The lesion had a solid nodular component that was worrisome for malignancy, and the patient underwent further evaluation with an MRI scan and endoscopic ultrasound of the pancreas. The differential diagnoses of cystic degeneration of neuroendocrine tumour, branch-duct intraductal papillary mucinous neoplasm with worrisome features or ectopic intrapancreatic spleen were made. A multidisciplinary tumour board recommended surgical resection given risk features of malignancy. The patient subsequently underwent a laparoscopic distal pancreatectomy with splenectomy, and histology confirmed the diagnosis of ECIPAS.Imaging characteristics of ECIPAS are non-specific, and most patients have a diagnosis made only after surgery. Therefore, more evidence is warranted for accurate preoperative imaging diagnosis to avoid unnecessary pancreatic surgery, which is not without its risks.
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Affiliation(s)
- Jia Jia Wee
- General Surgery, Tan Tock Seng Hospital, Singapore
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29
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Cerwin S. Extranodal Non-Hodgkin Lymphoma: A Rare Presentation Involving the Pancreas. JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY 2021. [DOI: 10.1177/87564793211054840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Non-Hodgkin lymphoma (NHL) is a cancer of the immune system, and accounts for 90% of all lymphomas. When lymphoma is discovered outside of the immune system, it is considered extranodal lymphoma. Any organ can be the primary site of NHL, with the gastrointestinal tract being the most common site of involvement. This case study explores the sonographic discovery of an uncommon presentation of NHL with an extranodal mass originating from the pancreatic body and tail, and further extending into the splenic hilum.
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30
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Nezami N, VAN Breugel JMM, Konstantinidis M, Chapiro J, Savic LJ, Miszczuk MA, Rexha I, Lin M, Hong K, Georgiades C. Lipiodol Deposition and Washout in Primary and Metastatic Liver Tumors After Chemoembolization. In Vivo 2021; 35:3261-3270. [PMID: 34697157 DOI: 10.21873/invivo.12621] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/18/2021] [Accepted: 09/06/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND/AIM Lipiodol is the key component of conventional trans-arterial chemoembolization. Our aim was to evaluate lipiodol deposition and washout rate after conventional trans-arterial chemoembolization in intrahepatic cholangiocarcinoma and hepatic metastases originating from neuroendocrine tumors and colorectal carcinoma. PATIENTS AND METHODS This was a retrospective analysis of 44 patients with intrahepatic cholangiocarcinoma and liver metastasis from neuroendocrine tumors or colorectal carcinoma who underwent conventional trans-arterial chemoembolization. Lipiodol volume (cm3) was analyzed on non-contrast computed tomography imaging obtained within 24 h post conventional trans-arterial chemoembolization, and 40-220 days after conventional trans-arterial chemoembolization using volumetric image analysis software. Tumor response was assessed on contrast-enhanced magnetic resonance imaging 1 month after conventional trans-arterial chemoembolization. RESULTS The washout rate was longer for neuroendocrine tumors compared to colorectal carcinoma, with half-lives of 54.61 days (p<0.00001) and 19.39 days (p<0.001), respectively, with no exponential washout among intrahepatic cholangiocarcinomas (p=0.83). The half-life for lipiodol washout was longer in tumors larger than 300 cm3 compared to smaller tumors (25.43 vs. 22.71 days). Lipiodol wash out half-life was 54.76 days (p<0.01) and 29.45 days (p<0.00001) for tumors with a contrast enhancement burden of 60% or more and less than 60%, respectively. A negative exponential relationship for lipiodol washout was observed in non-responders (p<0.00001). CONCLUSION Lipiodol washout is a time-dependent process, and occurs faster in colorectal carcinoma tumors, tumors smaller than 300 cm3, tumors with baseline contrast enhancement burden of less than 60%, and non-responding target lesions.
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Affiliation(s)
- Nariman Nezami
- Section of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A.; .,Division of Vascular and Interventional Radiology, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, U.S.A
| | - Johanna Maria Mijntje VAN Breugel
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A.,Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands.,Medical faculty, Utrecht University, Utrecht, the Netherlands
| | - Menelaos Konstantinidis
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Julius Chapiro
- Section of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A
| | - Lynn Jeanette Savic
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A.,Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Milena Anna Miszczuk
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A
| | - Irvin Rexha
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, U.S.A.,Department of Radiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Mingde Lin
- Visage Imaging, Inc., San Diego, CA, U.S.A
| | - Kelvin Hong
- Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, U.S.A
| | - Christos Georgiades
- Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, U.S.A
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31
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Segaran N, Devine C, Wang M, Ganeshan D. Current update on imaging for pancreatic neuroendocrine neoplasms. World J Clin Oncol 2021; 12:897-911. [PMID: 34733612 PMCID: PMC8546658 DOI: 10.5306/wjco.v12.i10.897] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/21/2021] [Accepted: 08/27/2021] [Indexed: 02/06/2023] Open
Abstract
Pancreatic neuroendocrine neoplasms (panNEN) are a heterogeneous group of tumors with differing pathological, genetic, and clinical features. Based on clinical findings, they may be categorized into functioning and nonfunctioning tumors. Adoption of the 2017 World Health Organization classification system, particularly its differentiation between grade 3, well-differentiated pancreatic neuroendocrine tumors (panNET) and grade 3, poorly-differentiated pancreatic neuroendocrine carcinomas (panNEC) has emphasized the role imaging plays in characterizing these lesions. Endoscopic ultrasound can help obtain biopsy specimen and assess tumor margins and local spread. Enhancement patterns on computed tomography (CT) and magnetic resonance imaging (MRI) may be used to classify panNEN. Contrast enhanced MRI and diffusion-weighted imaging have been reported to be useful for characterization of panNEN and quantifying metastatic burden. Current and emerging radiotracers have broadened the utility of functional imaging in evaluating panNEN. Fluorine-18 fluorodeoxyglucose positron emission tomography (PET)/CT and somatostatin receptor imaging such as Gallium-68 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid-octreotate PET/CT may be useful for improved identification of panNEN in comparison to anatomic modalities. These new techniques can also play a direct role in optimizing the selection of treatment for individuals and predicting tumor response based on somatostatin receptor expression. In addition, emerging methods of radiomics such as texture analysis may be a potential tool for staging and outcome prediction in panNEN, however further investigation is required before clinical implementation.
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Affiliation(s)
- Nicole Segaran
- Department of Radiology, Mayo Clinic Arizona, Phoenix, AZ 85259, United States
| | - Catherine Devine
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Mindy Wang
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
| | - Dhakshinamoorthy Ganeshan
- Department of Diagnostic Radiology, Abdominal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States
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32
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Han S, Kim JH, Yoo J, Jang S. Prediction of recurrence after surgery based on preoperative MRI features in patients with pancreatic neuroendocrine tumors. Eur Radiol 2021; 32:2506-2517. [PMID: 34647178 DOI: 10.1007/s00330-021-08316-8] [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: 07/16/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES To investigate useful MRI features in pancreatic neuroendocrine tumor (PNET) patients for predicting recurrence and its timing after surgery. METHODS A total of 99 patients with PNET who underwent MRI and surgery from 2000 to 2018 were enrolled. Two radiologists independently assessed MRI findings, including size, location, margin, T1 and T2 signal intensity, enhancement patterns, common bile duct (CBD) or main pancreatic duct (MPD) dilatation, vascular invasion, lymph node enlargement, DWI, and ADC value. Imaging findings associated with recurrence and disease-free survival (DFS) were assessed using logistic regression analysis and Cox proportional hazard regression analysis. RESULTS The median follow-up period was 40.4 months, and recurrence after surgery occurred in 12.1% (12/99). Among them, 6 patients experienced recurrence within 1 year, and 9 patients experienced recurrence within 2 years after surgery. In multivariate analysis, major venous invasion (OR 10.76 [1.14-101.85], p = 0.04) was associated with recurrence within 1 year, and portal phase iso- to hypoenhancement (OR 51.89 [1.73-1557.89], p = 0.02), CBD or MPD dilatation (OR 10.49 [1.35-81.64], p = 0.03) and larger size (OR 1.05 [1.00-1.10], p = 0.046) were associated with recurrence within 2 years. The mean DFS was 116.4 ± 18.5 months, and the 5-year DFS rate was 85.7%. In multivariate analysis, portal phase iso- to hypoenhancement (HR 21.36 [2.01-197.77], p = 0.01), ductal dilatation (HR 5.22 [1.46-18.68], p = 0.01), major arterial invasion (HR 42.90 [3.66-502.48], p = 0.003), and larger size (HR 1.04 [1.01-1.06], p = 0.01) showed a significant effect on poor DFS. CONCLUSION MRI features, including size, enhancement pattern, vascular invasion, and ductal dilatation, are useful in predicting recurrence and poor DFS after surgery in PNET. Key Points • MRI features are useful for predicting prognosis in patients with PNET after surgery. • PV or SMV invasion (OR 10.49 [1.35-81.64], p = 0.04) was significantly associated with 1-year recurrence. • Portal phase iso- to hypoenhancement (HR 21.36), CBD or MPD dilatation (HR 5.22), arterial invasion (HR 42.90), and larger size (HR 1.04) had significant effects on poor DFS (p < 0.05).
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Affiliation(s)
- Seungchul Han
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jung Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea. .,Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. .,Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.
| | - Jeongin Yoo
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Siwon Jang
- Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.,Department of Radiology, Seoul National University Boramae Hospital, Seoul, Republic of Korea
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33
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Han X, Yang J, Luo J, Chen P, Zhang Z, Alu A, Xiao Y, Ma X. Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods. Front Oncol 2021; 11:606677. [PMID: 34367940 PMCID: PMC8339967 DOI: 10.3389/fonc.2021.606677] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 07/05/2021] [Indexed: 02/05/2023] Open
Abstract
Objectives The purpose of this study aimed at investigating the reliability of radiomics features extracted from contrast-enhanced CT in differentiating pancreatic cystadenomas from pancreatic neuroendocrine tumors (PNETs) using machine-learning methods. Methods In this study, a total number of 120 patients, including 66 pancreatic cystadenomas patients and 54 PNETs patients were enrolled. Forty-eight radiomic features were extracted from contrast-enhanced CT images using LIFEx software. Five feature selection methods were adopted to determine the appropriate features for classifiers. Then, nine machine learning classifiers were employed to build predictive models. The performance of the forty-five models was evaluated with area under the curve (AUC), accuracy, sensitivity, specificity, and F1 score in the testing group. Results The predictive models exhibited reliable ability of differentiating pancreatic cystadenomas from PNETs when combined with suitable selection methods. A combination of DC as the selection method and RF as the classifier, as well as Xgboost+RF, demonstrated the best discriminative ability, with the highest AUC of 0.997 in the testing group. Conclusions Radiomics-based machine learning methods might be a noninvasive tool to assist in differentiating pancreatic cystadenomas and PNETs.
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Affiliation(s)
- Xuejiao Han
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Melanoma and Sarcoma Medical Oncology Unit, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jingwen Luo
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Pengan Chen
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Zilong Zhang
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Aqu Alu
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yinan Xiao
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Xuelei Ma
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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Investigating difficult to detect pancreatic lesions: Characterization of benign pancreatic islet cell tumors using multiparametric pancreatic 3-T MRI. PLoS One 2021; 16:e0253078. [PMID: 34115803 PMCID: PMC8195423 DOI: 10.1371/journal.pone.0253078] [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: 01/22/2021] [Accepted: 05/28/2021] [Indexed: 11/19/2022] Open
Abstract
Introduction Pancreatic islet-cell tumors (PICT) often present with atypical signal-characteristics and are often missed on preoperative imaging. The aim of this study is to provide a multiparametric PICT characterization and investigate factors impeding PICT detection. Material and methods This is a detailed MRI analysis of a prospective, monocenter study, including 49 consecutive patients (37 female, 12 male; median age 50) with symptoms due to endogenous hyperinsulinemic hypoglycemia (EHH) and mostly negative prior-imaging. All patients received a 3-T MRI and a 68Ga-DOTA-exendin-4-PET/CT. Pooled accuracy, sensitivity, specificity and inter-reader agreement were calculated. Reference-standard was histopathology and 68Ga-DOTA-Exendin-4-PET/CT in one patient who refused surgery. For PICT analyses, 34 patients with 49 PICTs (48 histologically proven; one 68Ga-DOTA-exendin-4-PET/CT positive) were assessed. Dynamic contrast-enhanced (DCE) Magnetic Resonance Images (MRI) with Golden-Angle-Radial-Sparse-Parallel (GRASP) reconstruction, enabling imaging at high spatial and temporal resolution, was used to assess enhancement-patterns of PICTs. Tumor-to-background (T2B) ratio for each sequence and the employed quantitative threshold for conspicuity of PICTs were analyzed in regard to prediction of true-positive PICTs. Results Evaluation of 49 patients revealed a pooled lesion-based accuracy, sensitivity and specificity of 70.3%, 72.9% and 62.5%, respectively. Mean PICT size was 12.9±5.3mm for detected, 9.0±2.9mm for undetected PICTs (p-value 0.0112). In-phase T1w detected the most PICT (67.3%). Depending on the sequence, PICTs were isointense and poorly visible in 29–68%. Only 2/41(4.9%) PICTs showed typical signal-characteristics across T1w, T2w, DWI and ceT1w combined. 66.6% of PICTs enhanced simultaneously to the parenchyma, 17.8% early and 15.6% late. Predictor screening analysis showed number of sequences detecting a PICT, lesion size and in-phase T1w T2B ratio had the highest contribution for detecting a true-positive PICT. Conclusion The majority of PICTs enhance simultaneously to surrounding parenchyma, present with atypical signal-characteristics and thus are poorly visible. In non-enhancing PICTs, radiologists should search for small lesions most likely conspicuous on unenhanced T1w or DWI.
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Doan NV, Duc NM, Ngan VK, Anh NV, Khuyen HTK, Nhan NT, Giang BV, Thong PM. Hypovascular pancreatic neuroendocrine tumor with hepatic metastases: A case report and literature review. Radiol Case Rep 2021; 16:1424-1427. [PMID: 33912257 PMCID: PMC8063702 DOI: 10.1016/j.radcr.2021.03.024] [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: 02/28/2021] [Revised: 03/12/2021] [Accepted: 03/13/2021] [Indexed: 11/23/2022] Open
Abstract
Hypovascular pancreatic neuroendocrine tumors are uncommon pancreatic tumors and commonly misdiagnosed as pancreatic ductal adenocarcinoma or chronic mass-forming pancreatitis. The liver is the organ most commonly affected by neuroendocrine tumor metastases but hepatic neuroendocrine tumor metastases are quite difficult to discriminate from other hepatic metastases and primary hepatic tumors. We describe a case of a 47-year-old man with incidentally detected multiple hepatic lesions on ultrasound. On further imaging technique including computed tomography and magnetic resonance imaging, the patient had an abnormal hypoenhancing lesion at the pancreatic tail and multiple hyperenhancing hepatic metastases that were diagnosed as hypovascular pancreatic well-differentiated neuroendocrine tumor Grade 2 with multiple hypervascular hepatic metastases after liver biopsy and surgery. Neuroendocrine tumor is a rare etiology among hypoenhancing pancreatic tumors, and must be considered to discriminate from pancreatic adenocarcinomas in cases there are multiple hyperenhancing hepatic metastases on the arterial phase without typical washout on the portal venous phase.
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Affiliation(s)
- Ngo-Van Doan
- Department of Radiology, Vinmec Times City International Hospital, Ha Noi, Vietnam
| | - Nguyen Minh Duc
- Department of Radiology, Ha Noi Medical University, Ha Noi, Vietnam
- Department of Radiology, Children's Hospital 2, Ho Chi Minh City, Vietnam
- Department of Radiology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam
| | - Vuong Kim Ngan
- Department of Radiology, Vinmec Times City International Hospital, Ha Noi, Vietnam
| | - Nguyen-Van Anh
- Department of Radiology, Vinmec Times City International Hospital, Ha Noi, Vietnam
| | - Hoang-Thi Kim Khuyen
- Department of Radiology, Vinmec Times City International Hospital, Ha Noi, Vietnam
| | - Nguyen-Thi Nhan
- Department of Radiology, Vinmec Times City International Hospital, Ha Noi, Vietnam
| | - Bui-Van Giang
- Department of Radiology, Ha Noi Medical University, Ha Noi, Vietnam
| | - Pham Minh Thong
- Department of Radiology, Ha Noi Medical University, Ha Noi, Vietnam
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Pulvirenti A, Yamashita R, Chakraborty J, Horvat N, Seier K, McIntyre CA, Lawrence SA, Midya A, Koszalka MA, Gonen M, Klimstra DS, Reidy DL, Allen PJ, Do RKG, Simpson AL. Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade. JCO Clin Cancer Inform 2021; 5:679-694. [PMID: 34138636 DOI: 10.1200/cci.20.00121] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
PURPOSE The therapeutic management of pancreatic neuroendocrine tumors (PanNETs) is based on pathological tumor grade assessment. A noninvasive imaging method to grade tumors would facilitate treatment selection. This study evaluated the ability of quantitative image analysis derived from computed tomography (CT) images to predict PanNET grade. METHODS Institutional database was queried for resected PanNET (2000-2017) with a preoperative arterial phase CT scan. Radiomic features were extracted from the primary tumor on the CT scan using quantitative image analysis, and qualitative radiographic descriptors were assessed by two radiologists. Significant features were identified by univariable analysis and used to build multivariable models to predict PanNET grade. RESULTS Overall, 150 patients were included. The performance of models based on qualitative radiographic descriptors varied between the two radiologists (reader 1: sensitivity, 33%; specificity, 66%; negative predictive value [NPV], 63%; and positive predictive value [PPV], 37%; reader 2: sensitivity, 45%; specificity, 70%; NPV, 72%; and PPV, 47%). The model based on radiomics had a better performance predicting the tumor grade with a sensitivity of 54%, a specificity of 80%, an NPV of 81%, and a PPV of 54%. The inclusion of radiomics in the radiographic descriptor models improved both the radiologists' performance. CONCLUSION CT quantitative image analysis of PanNETs helps predict tumor grade from routinely acquired scans and should be investigated in future prospective studies.
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Affiliation(s)
- Alessandra Pulvirenti
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Rikiya Yamashita
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jayasree Chakraborty
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kenneth Seier
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Caitlin A McIntyre
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sharon A Lawrence
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Abhishek Midya
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Maura A Koszalka
- Department of Surgery, Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Mithat Gonen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David S Klimstra
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Diane L Reidy
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Peter J Allen
- Department of Surgery, Hepatopancreatobiliary Service, Duke, University School of Medicine, Durham, NC
| | - Richard K G Do
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Amber L Simpson
- School of Computing, Queen's University, Kingston, ON, Canada
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Nakano A, Hayano K, Tochigi T, Mashiko T, Masuoka Y, Yamamoto S, Ozawa S, Nakagohri T. Prediction of non-functioning pancreatic neuroendocrine tumor grades with fractal analysis of preoperative contrast-enhanced computed tomography images. Eur J Radiol 2021; 141:109803. [PMID: 34090111 DOI: 10.1016/j.ejrad.2021.109803] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/26/2021] [Accepted: 05/26/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE To assess intra-tumoral heterogeneity (ITH) via fractal analysis of preoperative contrast-enhanced computed tomography (CT) images to predict pathological grades in non-functioning pancreatic neuroendocrine tumors (NF-PNETs) and verify its impact on patient survival. METHODS This retrospective study enrolled 40 patients with NF-PNET resected in our institution during a period from July 2005 to December 2018, except functioning tumors, unidentified tumors in CT, patients without preoperative contrast-enhanced CT. CT images were analyzed using plugin software for calculating fractal dimension (FD), and the maximum value was denoted as "FDmax," and compared with pathological grades and patient survival between G1 and G2/3 group separating according to two different Ki-67 index thresholds (3% and 5%). All CT images were acquired in three-phases and arterial phase images were examined. RESULTS Ki-67 index and FDmax showed a direct correlation with significance (p < 0.01). The mean FDmax of the G2/3 tumor group was significantly higher than that of the G1 tumor group (p < 0.01 in both 3% and 5% thresholds). In the ROC analysis, FDmax showed 0.773 of AUC, and cut-off value of 1.036 reported 62.5 % sensitivity, 90.0 % specificity, 86.2 % PPV, and 70.6 % NPV to distinguish G2/3 patients. The high-FD (≥1.036) group showed a significantly shorter disease-free survival (DFS) than the low-FD group (p = 0.0128). In multivariate analysis of prognostic factors, high FD was the only significant factor for DFS (HR, 5.793; 95 % CI: 1.213-27.664; p = 0.028). CONCLUSIONS The tumor's FDmax using CE-CT analysis might be a potential biomarker for preoperative prediction of G2/3 tumors, and predicting recurrence.
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Affiliation(s)
- Akira Nakano
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
| | - Koichi Hayano
- Department of Frontier Surgery, Chiba University Hospital, 1-8-1 Inohana, Chiba 260-8677, Japan.
| | - Toru Tochigi
- Department of Frontier Surgery, Chiba University Hospital, 1-8-1 Inohana, Chiba 260-8677, Japan.
| | - Taro Mashiko
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
| | - Yoshihito Masuoka
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
| | - Seiichiro Yamamoto
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
| | - Soji Ozawa
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
| | - Toshio Nakagohri
- Department of Surgery, Tokai University Hospital, 143 Shimokasuya, Isehara, Kanagawa, 259-1143, Japan.
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Abstract
OBJECTIVE. The purpose of this article is to review the clinical manifestations, endocrine tumors types, and multimodality diagnostic tools available to physicians involved in the management of patients with multiple endocrine neoplasia (MEN) syndrome, in addition to discussing relevant imaging findings and appropriate imaging follow-up. CONCLUSION. Thorough knowledge of the spectrum of tumors associated with MEN gene mutations aids in the screening, diagnostic workup, and posttreatment monitoring of patients with MEN-related gene mutations.
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Song T, Zhang QW, Duan SF, Bian Y, Hao Q, Xing PY, Wang TG, Chen LG, Ma C, Lu JP. MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas. BMC Med Imaging 2021; 21:36. [PMID: 33622277 PMCID: PMC7901077 DOI: 10.1186/s12880-021-00563-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/02/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND This study aims to investigate the value of radiomics parameters derived from contrast enhanced (CE) MRI in differentiation of hypovascular non-functional pancreatic neuroendocrine tumors (hypo-NF-pNETs) and solid pseudopapillary neoplasms of the pancreas (SPNs). METHODS Fifty-seven SPN patients and twenty-two hypo-NF-pNET patients were enrolled. Radiomics features were extracted from T1WI, arterial, portal and delayed phase of MR images. The enrolled patients were divided into training cohort and validation cohort with the 7:3 ratio. We built four radiomics signatures for the four phases respectively and ROC analysis were used to select the best phase to discriminate SPNs from hypo-NF-pNETs. The chosen radiomics signature and clinical independent risk factors were integrated to construct a clinic-radiomics nomogram. RESULTS SPNs occurred in younger age groups than hypo-NF-pNETs (P < 0.0001) and showed a clear preponderance in females (P = 0.0185). Age was a significant independent factor for the differentiation of SPNs and hypo-NF-pNETs revealed by logistic regression analysis. With AUC values above 0.900 in both training and validation cohort (0.978 [95% CI, 0.942-1.000] in the training set, 0.907 [95% CI, 0.765-1.000] in the validation set), the radiomics signature of the arterial phase was picked to build a clinic-radiomics nomogram. The nomogram, composed by age and radiomics signature of the arterial phase, showed sufficient performance for discriminating SPNs and hypo-NF-pNETs with AUC values of 0.965 (95% CI, 0.923-1.000) and 0.920 (95% CI, 0.796-1.000) in the training and validation cohorts, respectively. Delong Test did not demonstrate statistical significance between the AUC of the clinic-radiomics nomogram and radiomics signature of arterial phase. CONCLUSION CE-MRI-based radiomics approach demonstrated great potential in the differentiation of hypo-NF-pNETs and SPNs.
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Affiliation(s)
- Tao Song
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Qian-Wen Zhang
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Shao-Feng Duan
- GE Healthcare China, Pudong New Town, No.1 Huatuo Road, Shanghai, 210000, China
| | - Yun Bian
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Qiang Hao
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Peng-Yi Xing
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Tie-Gong Wang
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Lu-Guang Chen
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Chao Ma
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China
| | - Jian-Ping Lu
- Department of Radiology, Changhai Hospital, The Navy Medical University (Second Military Medical University), 168 Changhai Road, Shanghai, 200433, China.
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Ishii T, Katanuma A, Toyonaga H, Chikugo K, Nasuno H, Kin T, Hayashi T, Takahashi K. Role of Endoscopic Ultrasound in the Diagnosis of Pancreatic Neuroendocrine Neoplasms. Diagnostics (Basel) 2021; 11:diagnostics11020316. [PMID: 33672085 PMCID: PMC7919683 DOI: 10.3390/diagnostics11020316] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 02/10/2021] [Indexed: 12/16/2022] Open
Abstract
Although pancreatic neuroendocrine neoplasms (PNENs) are relatively rare tumors, their number is increasing with advances in diagnostic imaging modalities. Even small lesions that are difficult to detect using computed tomography or magnetic resonance imaging can now be detected with endoscopic ultrasound (EUS). Contrast-enhanced EUS is useful, and not only diagnosis but also malignancy detection has become possible by evaluating the vascularity of tumors. Pathological diagnosis using EUS with fine-needle aspiration (EUS-FNA) is useful when diagnostic imaging is difficult. EUS-FNA can also be used to evaluate the grade of malignancy. Pooling the data of the studies that compared the PNENs grading between EUS-FNA samples and surgical specimens showed a concordance rate of 77.5% (κ-statistic = 0.65, 95% confidence interval = 0.59–0.71, p < 0.01). Stratified analysis for small tumor size (2 cm) showed that the concordance rate was 84.5% and the kappa correlation index was 0.59 (95% confidence interval = 0.43–0.74, p < 0.01). The evolution of ultrasound imaging technologies such as contrast-enhanced and elastography and the artificial intelligence that analyzes them, the evolution of needles, and genetic analysis, will further develop the diagnosis and treatment of PNENs in the future.
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Affiliation(s)
- Tatsuya Ishii
- Correspondence: ; Tel.: +81-11-681-8111; Fax: +81-11-685-2967
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CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors. Radiol Med 2021; 126:745-760. [PMID: 33523367 DOI: 10.1007/s11547-021-01333-z] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 01/11/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE To assess the ability of radiomic features (RF) extracted from contrast-enhanced CT images (ceCT) and non-contrast-enhanced (non-ceCT) in discriminating histopathologic characteristics of pancreatic neuroendocrine tumors (panNET). METHODS panNET contours were delineated on pre-surgical ceCT and non-ceCT. First- second- and higher-order RF (adjusted to eliminate redundancy) were extracted and correlated with histological panNET grade (G1 vs G2/G3), metastasis, lymph node invasion, microscopic vascular infiltration. Mann-Whitney with Bonferroni corrected p values assessed differences. Discriminative power of significant RF was calculated for each of the end-points. The performance of conventional-imaged-based-parameters was also compared to RF. RESULTS Thirty-nine patients were included (mean age 55-years-old; 24 male). Mean diameters of the lesions were 24 × 27 mm. Sixty-nine RF were considered. Sphericity could discriminate high grade tumors (AUC = 0.79, p = 0.002). Tumor volume (AUC = 0.79, p = 0.003) and several non-ceCT and ceCT RF were able to identify microscopic vascular infiltration: voxel-alignment, neighborhood intensity-difference and intensity-size-zone families (AUC ≥ 0.75, p < 0.001); voxel-alignment, intensity-size-zone and co-occurrence families (AUC ≥ 0.78, p ≤ 0.002), respectively). Non-ceCT neighborhood-intensity-difference (AUC = 0.75, p = 0.009) and ceCT intensity-size-zone (AUC = 0.73, p = 0.014) identified lymph nodal invasion; several non-ceCT and ceCT voxel-alignment family features were discriminative for metastasis (p < 0.01, AUC = 0.80-0.85). Conventional CT 'necrosis' could discriminate for microscopic vascular invasion (AUC = 0.76, p = 0.004) and 'arterial vascular invasion' for microscopic metastasis (AUC = 0.86, p = 0.001). No conventional-imaged-based-parameter was significantly associated with grade and lymph node invasion. CONCLUSIONS Radiomic features can discriminate histopathology of panNET, suggesting a role of radiomics as a non-invasive tool for tumor characterization. TRIAL REGISTRATION NUMBER NCT03967951, 30/05/2019.
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Mohan SL, Chakkalakkoombil SV, Devaraj SK, Kashyap R, Ganesh RN. The Elusive Appearance of Hyperenhancing Solid Serous Cystadenoma of the Pancreas—Radio-Pathological Correlation. JOURNAL OF GASTROINTESTINAL AND ABDOMINAL RADIOLOGY 2021. [DOI: 10.1055/s-0040-1721293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
AbstractSerous cystadenomas account for ~10 to 29% of pancreatic cystic tumors. Solid serous cystadenoma (SSCA) is a rare variant, first described in 1996, with imaging characteristics different from the classical serous cystadenoma of the pancreas and can cause a diagnostic dilemma due to its resemblance to other solid tumors of the pancreas. To the best of our knowledge, only 22 cases of SSCA of pancreas have been reported till date.A 50-year-old female patient underwent contrast-enhanced computed tomography (CECT) of the abdomen for a hypoechoic lesion detected in the body of the pancreas during ultrasound (US) examination. Due to the hyperenhancement of the well-circumscribed lesion in the arterial phase, a provisional diagnosis of neuroendocrine tumor was considered. Gallium 68-labeled somatostatin-analog (Ga 68-DOTANOC) positron emission tomography CT scan did not show any uptake within the lesion and endoscopic US (EUS)-guided fine-needle aspiration cytology (FNAC) was also inconclusive. She underwent laparotomy and the lesion was enucleated and it was proven to be a serous microcystadenoma on postoperative histopathologic examination.A diagnosis of SSCA should be considered for solid-appearing pancreatic lesions with characteristic CECT features such as arterial phase hyperenhancement, and immediate washout, along with negative results on DOTANOC scan and EUS-guided FNAC. Malignant transformation of SSCA has not been reported till date, and hence these can be safely followed up, instead of invasive surgery.
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Affiliation(s)
- Supraja Laguduva Mohan
- Department of Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | | | - Sunil Kumar Devaraj
- Department of Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Ravindar Kashyap
- Department of Radiodiagnosis, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
| | - Rajesh Nachiappa Ganesh
- Department of Pathology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India
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Li WX, Miao F, Xu XQ, Zhang J, Wu ZY, Chen KM, Yan FH, Lin XZ. Pancreatic Neuroendocrine Neoplasms: CT Spectral Imaging in Grading. Acad Radiol 2021; 28:208-216. [PMID: 32111466 DOI: 10.1016/j.acra.2020.01.033] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 01/26/2020] [Accepted: 01/26/2020] [Indexed: 12/20/2022]
Abstract
RATIONALE AND OBJECTIVES The purpose of this study was to define the CT spectral imaging characteristics of pancreatic neuroendocrine neoplasms (PNENs) and evaluate their potential for differential diagnosis of nonlow grade (non-LG) PNENs from low grade (LG) PNENs. MATERIALS AND METHODS CT spectral imaging data of 54 pathologically proven PNENs were retrospectively reviewed. Patients were divided into two groups: 40 cases with grade 1 in LG PNENs group and 14 cases with grade 2 and grade 3 in non-LG PNENs group. RESULTS Gender, calcification, inhomogeneity, invasiveness, PD dilatation, lymph node enlargement, size, normalized iodine (water) concentration in arterial phase (AP) (Iodine (ap)), normalized effective-Z (Zap), slope of normalized CT spectral curves in both AP, and portal venous phase were found to be significant variables for differentiating non-LG PNENs from LG PNENs (p < 0.05). Non-LG PNENs had larger size and lower Zap and Iodine (ap) than LG PNENs. The tumor size, Zap and Iodine (ap) had fair to good diagnostic performance with the area under receiver-operating-characteristic curve (AUC) 0.843, 0.733, and 0.728, respectively. Multivariate analysis with logistic regression had higher AUC (p<0.05) than all the single parameters except for size. CONCLUSION There were significant differences in CT spectral imaging parameters between non-LG and LG PNENs. Tumor size was the most promising independent parameter and the combination of quantitative parameters with qualitative parameters is the best predictor in differentiating of non-LG PNENs from LG PNENs. CT spectral imaging can help determine the malignancy of PNENs, which can better assist in surgical planning.
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Affiliation(s)
- Wei-Xia Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fei Miao
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xue-Qin Xu
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jing Zhang
- Department of Radiology, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Jiading, Shanghai, China
| | - Zhi-Yuan Wu
- Department of Interventional Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ke-Min Chen
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fu-Hua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiao-Zhu Lin
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, 197 2nd Ruijin Road, Shanghai, China.
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Wang Y, Chen X, Wang J, Cui W, Wang C, Chen X, Wang Z. Differentiation between non-hypervascular pancreatic neuroendocrine tumors and mass-forming pancreatitis using contrast-enhanced computed tomography. Acta Radiol 2021; 62:190-197. [PMID: 32375515 DOI: 10.1177/0284185120921503] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Non-hypervascular pancreatic neuroendocrine tumors (PNETs) showed slight or iso-enhancement in contrast-enhanced computed tomography (CE-CT), which shared similar imaging findings with mass-forming pancreatitis (MFPs). PURPOSE To explore the value of CT imaging features in differentiating the two diseases. MATERIAL AND METHODS Fifty-one patients with histologically proved MFPs (n = 27) or non-hypervascular PNETs (n = 24) were included. Two radiologists reviewed CT imaging findings and clinical features. Logistic regression analysis was performed to identify relevant features in differentiating non-hypervascular PNETs and MFPs. Receiver operating characteristic (ROC) curve analysis was used to show the performance of the optimal parameters in differentiating non-hypervascular PNETs and MFPs. RESULTS A well-defined margin was more common in non-hypervascular PNETs (P < 0.05) than that in MFPs. MFPs often occurred in older people (P < 0.01) and the head-neck of the pancreas compared with non-hypervascular PNETs (P < 0.05). Metastases only presented in non-hypervascular PNETs (P < 0.05). CT values at venous phase and delay phase of MFPs were higher (P = 0.010 and P = 0.029) than those in non-hypervascular PNETs. Logistic analysis showed gender, tumor margin, CT values at venous phase, and tumor components were independent predictors in differentiating the two lesions. The area under the curve (AUC) was 0.938 with a sensitivity of 87.5% and specificity of 92.6% for combined predicators. CONCLUSION Gender, tumor margin, CT values at venous phase, and tumor components were useful predicators in differentiating non-hypervascular PNETs and MFPs.
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Affiliation(s)
- Yajie Wang
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
| | - Xin Chen
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
- Department of Graduate, Bengbu Medical College, Bengbu, Anhui Province, PR China
| | - Jianhua Wang
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
| | - Wenjing Cui
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
| | - Cheng Wang
- Department of Radiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu Province, PR China
| | - Xiao Chen
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
| | - Zhongqiu Wang
- Department of Radiology, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu Province, PR China
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Baghdadi A, Ghadimi M, Mirpour S, Hazhirkarzar B, Motaghi M, Pawlik TM, Kamel IR. Imaging neuroendocrine tumors: Characterizing the spectrum of radiographic findings. Surg Oncol 2021; 37:101529. [PMID: 33549952 DOI: 10.1016/j.suronc.2021.101529] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 12/25/2020] [Accepted: 01/25/2021] [Indexed: 02/07/2023]
Abstract
Neuroendocrine tumors (NET) are a group of neoplasms with neuroendocrine differentiation affecting a wide range of organs. Functional NETs present with symptoms due to the particular hormone produced. Functional NETs are usually small at diagnosis and therefore can be challenging to diagnose. In contrast, non-functioning NETs are generally larger and present with mass effect. Imaging plays an indispensable role in diagnosis, staging and management of patients with NETs. The optimal modality and technique for imaging of NETs depend on the location of primary and metastatic lesions. Regardless of the imaging modality, dynamic contrast-enhanced imaging is essential for evaluation of NETs. In general, CT scan is typically the primary imaging modality for evaluating NETs. MRI is used as a complementary modality, being superior to other modalities to assess liver metastasis. Nuclear medicine imaging is also widely used in NET assessment.
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Affiliation(s)
- Azarakhsh Baghdadi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA
| | - Maryam Ghadimi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA
| | - Sahar Mirpour
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA
| | - Bita Hazhirkarzar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA
| | - Mina Motaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St, Room 143, Baltimore, MD, 21287, USA.
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Kimura K, Tsuchiya J, Kitazume Y, Kishino M, Akahoshi K, Kudo A, Tanaka S, Tanabe M, Tateishi U. Dynamic Enhancement Pattern on CT for Predicting Pancreatic Neuroendocrine Neoplasms with Low PAX6 Expression: A Retrospective Observational Study. Diagnostics (Basel) 2020; 10:919. [PMID: 33182335 PMCID: PMC7695321 DOI: 10.3390/diagnostics10110919] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 12/20/2022] Open
Abstract
Paired box 6 (PAX6) is a transcription factor that plays a critical role in tumor suppression, implying that the downregulation of PAX6 promotes tumor growth and invasiveness. This study aimed to examine dynamic computed tomography (CT) features for predicting pancreatic neuroendocrine neoplasms (Pan-NENs) with low PAX6 expression. We retrospectively evaluated 51 patients with Pan-NENs without synchronous liver metastasis to assess the pathological expression of PAX6. Two radiologists analyzed preoperative dynamic CT images to determine morphological features and enhancement patterns. We compared the CT findings between low and high PAX6 expression groups. Pathological analysis identified 11 and 40 patients with low and high PAX6 expression, respectively. Iso- or hypoenhancement types in the arterial and portal phases were significantly associated with low PAX6 expression (p = 0.009; p = 0.001, respectively). Low PAX6 Pan-NENs showed a lower portal enhancement ratio than high PAX6 Pan-NENs (p = 0.044). The combination based on enhancement types (iso- or hypoenhancement during arterial and portal phases) and portal enhancement ratio (≤1.22) had 54.5% sensitivity, 92.5% specificity, and 84.3% accuracy in identifying low PAX6 Pan-NENs. Dynamic CT features, including iso- or hypoenhancement types in the arterial and portal phases and lower portal enhancement ratio may help predict Pan-NENs with low PAX6 expression.
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Affiliation(s)
- Koichiro Kimura
- Department of Diagnostic Radiology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (J.T.); (Y.K.); (M.K.); (U.T.)
| | - Junichi Tsuchiya
- Department of Diagnostic Radiology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (J.T.); (Y.K.); (M.K.); (U.T.)
| | - Yoshio Kitazume
- Department of Diagnostic Radiology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (J.T.); (Y.K.); (M.K.); (U.T.)
| | - Mitsuhiro Kishino
- Department of Diagnostic Radiology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (J.T.); (Y.K.); (M.K.); (U.T.)
| | - Keiichi Akahoshi
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (K.A.); (A.K.); (M.T.)
| | - Atsushi Kudo
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (K.A.); (A.K.); (M.T.)
| | - Shinji Tanaka
- Department of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan;
| | - Minoru Tanabe
- Department of Hepatobiliary and Pancreatic Surgery, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (K.A.); (A.K.); (M.T.)
| | - Ukihide Tateishi
- Department of Diagnostic Radiology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan; (J.T.); (Y.K.); (M.K.); (U.T.)
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Abstract
Neuroendocrine tumors are rare solid tumors with an estimated 12,000 people in the United States diagnosed each year. Neuroendocrine tumors can occur in any part of the body. There is a wide spectrum of disease, ranging from slow-growing and indolent tumors found incidentally to highly aggressive malignancies with a poor prognosis. Knowledge of neuroendocrine tumor pathology is essential in the diagnostic workup of these patients. This article focuses on the evaluation, detection, and staging of common neuroendocrine tumors with multiple imaging modalities; the information gained with a multimodality approach is often complementary and leads to image-guided treatment decision making.
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Affiliation(s)
- Samuel J Galgano
- Department of Radiology, Section of Abdominal Imaging, University of Alabama at Birmingham, 619 19th Street South, JT N325, Birmingham, AL 35249, USA; Department of Radiology, Section of Molecular Imaging & Therapeutics, University of Alabama at Birmingham, 619 19th Street South, JT N325, Birmingham, AL 35249, USA.
| | - Kedar Sharbidre
- Department of Radiology, Section of Abdominal Imaging, University of Alabama at Birmingham, 619 19th Street South, JT N325, Birmingham, AL 35249, USA
| | - Desiree E Morgan
- Department of Radiology, Section of Abdominal Imaging, University of Alabama at Birmingham, 619 19th Street South, JT N325, Birmingham, AL 35249, USA
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Ohki K, Igarashi T, Ashida H, Takenaga S, Shiraishi M, Nozawa Y, Ojiri H. Usefulness of texture analysis for grading pancreatic neuroendocrine tumors on contrast-enhanced computed tomography and apparent diffusion coefficient maps. Jpn J Radiol 2020; 39:66-75. [PMID: 32885378 DOI: 10.1007/s11604-020-01038-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/21/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE To determine whether texture analysis of contrast-enhanced computed tomography (CECT) and apparent diffusion coefficient (ADC) maps could predict tumor grade (G1 vs G2-3) in patients with pancreatic neuroendocrine tumor (PNET). MATERIALS AND METHODS Thirty-three PNETs (22 G1 and 11 G2-3) were retrospectively reviewed. Fifty features were individually extracted from the arterial and portal venous phases of CECT and ADC maps by two radiologists. Diagnostic performance was assessed by receiver operating characteristic curves while inter-observer agreement was determined by calculating intraclass correlation coefficients (ICCs). RESULTS G2-G3 tumors were significantly larger than G1. Seventeen features significantly differed among the two readers on univariate analysis, with ICCs > 0.6; the largest area under the curve (AUC) for features of each CECT phase and ADC map was log-sigma 1.0 joint-energy = 0.855 for the arterial phase, log-sigma 1.5 kurtosis = 0.860 for the portal venous phase, and log-sigma 1.0 correlation = 0.847 for the ADC map. The log-sigma 1.5 kurtosis of the portal venous phase showed the largest AUC in the CECT and ADC map, and its sensitivity, specificity, and accuracy were 95.5%, 72.7%, and 87.9%, respectively. CONCLUSION Texture analysis may aid in differentiating between G1 and G2-3 PNET.
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Affiliation(s)
- Kazuyoshi Ohki
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan.
| | - Takao Igarashi
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Hirokazu Ashida
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Shinsuke Takenaga
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Megumi Shiraishi
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Yosuke Nozawa
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
| | - Hiroya Ojiri
- Department of Radiology, The Jikei University School of Medicine, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, Japan
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Ozaki K, Ikeno H, Kaizaki Y, Maeda K, Higuchi S, Kosaka N, Kimura H, Gabata T. Pearls and pitfalls of imaging features of pancreatic cystic lesions: a case-based approach with imaging-pathologic correlation. Jpn J Radiol 2020; 39:118-142. [PMID: 32840742 DOI: 10.1007/s11604-020-01032-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 08/11/2020] [Indexed: 12/14/2022]
Abstract
A variety of neoplastic and non-neoplastic lesions of the pancreas can present with a predominantly cystic architecture. These lesions are increasingly being detected as incidental findings on routine cross-sectional imaging following technological advances in these techniques and their widespread use. The different histopathological behaviors show various common and uncommon imaging findings, and some cases show similar appearance in spite of different histopathology. Each lesion requires specific management because of the differing risk of progression to malignancy, and an accurate imaging diagnosis is crucial. The typical imaging characteristics that differentiate pancreatic cystic lesions have been well described and fully summarized. However, in addition to a small percentage of cases that shows uncommon imaging findings, a substantial percentage of cystic lesions shows overlapping imaging findings that can lead to radiological misdiagnosis. For appropriate diagnosis and optimal treatment strategy, it is important to know the uncommon and overlapping imaging findings of these lesions, in addition to familiarity with the typical aspects. In this article, we reconfirm the well-known characteristic imaging features of pancreatic cystic lesions and present several diagnostically challenging cases, focusing on the uncommon and overlapping imaging findings.
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Affiliation(s)
- Kumi Ozaki
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan.
| | - Hiroshi Ikeno
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Yasuharu Kaizaki
- Department of Diagnostic Pathology, Fukui Prefectural Hospital, Fukui, Japan
| | - Kazuya Maeda
- Department of Surgery, Fukui Prefectural Hospital, Fukui, Japan
| | - Shohei Higuchi
- Department of Pathology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Nobuyuki Kosaka
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Hirohiko Kimura
- Department of Radiology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji, Fukui, 910-1193, Japan
| | - Toshifumi Gabata
- Department of Radiology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
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