3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma

Our pilot study demonstrates that 3D segmentation can provide additional information for choosing the best treatment strategy and surgical plain in patients with BR-PDAC. Especially for upcoming mini-invasive techniques like laparoscopic and robotic resections, better pre-operative planning is essential to allow safety and prevent vascular injury.

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Publication Details

Journal
Heliyon
Published
2024-12-27
DOI
https://doi.org/10.1016/j.heliyon.2024.e41473
Citations
1
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.28
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article

3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma

L. Bühler, Abe Fingerhut, Jorge Vergara Vidal, Raffaella Sguinzi et al.
1 citations
Heliyon
Pancreatic and Hepatic Oncology Research
0.28
article

3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma

L. Bühler, Abe Fingerhut, Jorge Vergara Vidal, Raffaella Sguinzi, Alexis Litchinko, Christian Toso, Bernhard Egger, Ben L. Da, F Poroes, E Gossin
article en
1 citations

Abstract

Our pilot study demonstrates that 3D segmentation can provide additional information for choosing the best treatment strategy and surgical plain in patients with BR-PDAC. Especially for upcoming mini-invasive techniques like laparoscopic and robotic resections, better pre-operative planning is essential to allow safety and prevent vascular injury.

HeliyonVol. 11(1)
University of Fribourg (CH), Shanghai Jiao Tong University (CN), Ruijin Hospital (CN), Fribourg Development Agency (CH), University Hospital of Geneva (CH)
Zero hunger
Openalex Percentile: Top 33%
Pancreatic and Hepatic Oncology Research
0.28
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3D modeling to predict vascular involvement in resectable pancreatic adenocarcinoma — L. Bühler, Abe Fingerhut, et al. · Heliyon (2024) | TGRS Research Map | TGRS