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State of the Art in Hepato-Pancreato-Biliary Surgery

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Gastroenterology & Hepatopancreatobiliary Medicine".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 879

Special Issue Editor


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Guest Editor
Department of Surgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 739-8526, Japan
Interests: gastrointestinal surgery; hepatobiliary surgery; pancreatic surgery; endoscopic surgery; biliary tract cancer

Special Issue Information

Dear Colleagues,

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive tumors, and more than half of the patients are diagnosed as having unresectable PDAC. Unresectable PDAC includes locally advanced or metastatic cases; however, recent chemotherapies, such as FOLFIRINOX or gemcitabine plus nab-paclitaxel, have dramatically improved the survival period of patients with PDAC. These strong chemotherapies have enabled surgical resection for initially unresectable PDAC, although the eligible cases are very limited. In this Special Issue, we welcome authors to submit papers on surgery for initially unresectable PDAC. Authors can submit papers on any of the following topics: preoperative anti-cancer treatment, surgical indication, surgical strategy, and survival benefit after surgery.

Dr. Tatsuaki Sumiyoshi
Guest Editor

Manuscript Submission Information

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Keywords

  • pancreatic ductal adenocarcinoma
  • initially unresectable locally advanced cancer
  • preoperative treatment
  • surgical indication
  • surgical procedure
  • survival benefit

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Published Papers (1 paper)

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Research

12 pages, 1907 KiB  
Article
Computer-Aided Decision Support and 3D Models in Pancreatic Cancer Surgery: A Pilot Study
by Diederik W. M. Rasenberg, Mark Ramaekers, Igor Jacobs, Jon R. Pluyter, Luc J. F. Geurts, Bin Yu, John C. P. van der Ven, Joost Nederend, Ignace H. J. T. de Hingh, Bert A. Bonsing, Alexander L. Vahrmeijer, Erwin van der Harst, Marcel den Dulk, Ronald M. van Dam, Bas Groot Koerkamp, Joris I. Erdmann, Freek Daams, Olivier R. Busch, Marc G. Besselink, Wouter W. te Riele, Rinze Reinhard, Frank Willem Jansen, Jenny Dankelman, J. Sven D. Mieog and Misha D. P. Luyeradd Show full author list remove Hide full author list
J. Clin. Med. 2025, 14(5), 1567; https://doi.org/10.3390/jcm14051567 - 26 Feb 2025
Viewed by 567
Abstract
Background: Preoperative planning of patients diagnosed with pancreatic head cancer is difficult and requires specific expertise. This pilot study assesses the added value of three-dimensional (3D) patient models and computer-aided detection (CAD) algorithms in determining the resectability of pancreatic head tumors. Methods: This [...] Read more.
Background: Preoperative planning of patients diagnosed with pancreatic head cancer is difficult and requires specific expertise. This pilot study assesses the added value of three-dimensional (3D) patient models and computer-aided detection (CAD) algorithms in determining the resectability of pancreatic head tumors. Methods: This study included 14 hepatopancreatobiliary experts from eight hospitals. The participants assessed three radiologically resectable and three radiologically borderline resectable cases in a simulated setting via crossover design. Groups were divided in controls (using a CT scan), a 3D group (using a CT scan and 3D models), and a CAD group (using a CT scan, 3D and CAD). For the perceived fulfillment of preoperative needs, the quality and confidence of clinical decision-making were evaluated. Results: A higher perceived ability to determine degrees and the length of tumor–vessel contact was reported in the CAD group compared to controls (p = 0.022 and p = 0.003, respectively). Lower degrees of tumor–vessel contact were predicted for radiologically borderline resectable tumors in the CAD group compared to controls (p = 0.037). Higher confidence levels were observed in predicting the need for vascular resection in the 3D group compared to controls (p = 0.033) for all cases combined. Conclusions: “CAD (including 3D) improved experts’ perceived ability to accurately assess vessel involvement and supports the development of evolving techniques that may enhance the diagnosis and treatment of pancreatic cancer”. Full article
(This article belongs to the Special Issue State of the Art in Hepato-Pancreato-Biliary Surgery)
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