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- Volkan Adsay, Mari Mino-Kenudson, Toru Furukawa, Olca Basturk, Giuseppe Zamboni, Giovanni Marchegiani, Claudio Bassi, Roberto Salvia, Giuseppe Malleo, Salvatore Paiella, Christopher L Wolfgang, Hanno Matthaei, G Johan Offerhaus, Mustapha Adham, Marco J Bruno, Michelle D Reid, Alyssa Krasinskas, Günter Klöppel, Nobuyuki Ohike, Takuma Tajiri, Kee-Taek Jang, Juan Carlos Roa, Peter Allen, Carlos Fernández-del Castillo, Jin-Young Jang, David S Klimstra, Ralph H Hruban, and Members of Verona Consensus Meeting, 2013.
- *Department of Pathology, Emory University School of Medicine and Winship Cancer Institute, Atlanta, GA †Department of Pathology, Massachusetts General Hospital, Boston, MA ‡Department of Pathology, Tokyo Women's Medical University, Tokyo, Japan §Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY ¶Department of Pathology, University of Verona, Verona, Italy ||Department of Surgery, Massachusetts General Hospital, Boston, MA **Department of Surgery, University of Verona, Verona, Italy ††Department of Surgery, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD ‡‡Departments of Surgery, University of Bonn, Bonn, Germany §§Departments of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands ¶¶Department of Surgery, Edouard Herriot Hospital, HCL, Lyon, France ||||Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands ***Departments of Pathology, Technical University, Munich, Germany †††Department of Pathology, Showa University Fujigaoka Hospital, Yokohama, Japan ‡‡‡Department of Pathology, Tokai University Hachioji Hospital, Tokyo, Japan §§§Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea ¶¶¶Department of Pathology, Pontificia Universidad Católica de Chile, Santiago, Chile ||||||Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY ****Department of Surgery, Massachusetts General Hospital, Boston, MA ††††Department of Surgery, Seoul National University Hospital, Seoul, Korea ‡‡‡‡Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD.
- Ann. Surg. 2016 Jan 1; 263 (1): 162177162-77.
BackgroundThere are no established guidelines for pathologic diagnosis/reporting of intraductal papillary mucinous neoplasms (IPMNs).DesignAn international multidisciplinary group, brought together by the Verona Pancreas Group in Italy-2013, was tasked to devise recommendations.Results(1) Crucial to rule out invasive carcinoma with extensive (if not complete) sampling. (2) Invasive component is to be documented in a full synoptic report including its size, type, grade, and stage. (3) The term "minimally invasive" should be avoided; instead, invasion size with stage and substaging of T1 (1a, b, c; ≤ 0.5, > 0.5-≤ 1, > 1 cm) is to be documented. (4) Largest diameter of the invasion, not the distance from the nearest duct, is to be used. (5) A category of "indeterminate/(suspicious) for invasion" is acceptable for rare cases. (6) The term "malignant" IPMN should be avoided. (7) The highest grade of dysplasia in the non-invasive component is to be documented separately. (8) Lesion size is to be correlated with imaging findings in cysts with rupture. (9) The main duct diameter and, if possible, its involvement are to be documented; however, it is not required to provide main versus branch duct classification in the resected tumor. (10) Subtyping as gastric/intestinal/pancreatobiliary/oncocytic/mixed is of value. (11) Frozen section is to be performed highly selectively, with appreciation of its shortcomings. (12) These principles also apply to other similar tumoral intraepithelial neoplasms (mucinous cystic neoplasms, intra-ampullary, and intra-biliary/cholecystic).ConclusionsThese recommendations will ensure proper communication of salient tumor characteristics to the management teams, accurate comparison of data between analyses, and development of more effective management algorithms.
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