Peer-Reviewed Publication
Eur J Surg Oncol2025;51(1):106908.January 1, 2025Journal Article
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.
F Nickel1, A Studier-Fischer2, B Özdemir3, J Odenthal3, L R Müller4, S Knoedler3, K F Kowalewski5, I Camplisson6, M M Allers3, M Dietrich7, K Schmidt8, G A Salg3, H G Kenngott3, A T Billeter3, I Gockel9, C Sagiv10, O E Hadar10, J Gildenblat10, L Ayala11, S Seidlitz12, L Maier-Hein13, B P Müller-Stich14
1Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany.
2Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; School of Medicine, Heidelberg University, Heidelberg, Germany.
3Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany.
4HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
5Department of Urology, Medical Faculty of Mannheim at the University of Heidelberg, Mannheim, Germany.
6Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, USA.
7Department of Anaesthesiology, Heidelberg University Hospital, Heidelberg, Germany.
8Department of Anaesthesiology and Intensive Care Medicine, Essen University Hospital, Essen, Germany.
9Department of Visceral, Transplantation, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany.
10DeePathology Ltd., Ra'anana, Israel.
11HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
12HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany.
13HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany; Division of Computer Assisted Medical Interventions, German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany.
14Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany; HIDSS4Health - Helmholtz Information and Data Science School for Health, Heidelberg and Karlsruhe, Germany. Electronic address: beat.mueller@clarunis.ch.
Abstract
INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic technique and gastric conduit perfusion with hyperspectral imaging (HSI) for total minimally invasive esophagectomy (MIE) with linear stapled anastomosis.…
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