[2307.01502] Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair

[2307.01502] Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair

arXiv - AI 4 min read

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Abstract page for arXiv paper 2307.01502: Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair

Computer Science > Computer Vision and Pattern Recognition arXiv:2307.01502 (cs) [Submitted on 4 Jul 2023 (v1), last revised 30 Mar 2026 (this version, v3)] Title:Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair Authors:Philipp D. Lösel, Jacob J. Relle, Samuel Voß, Ramesch Raschidi, Regine Nessel, Johannes Görich, Mark O. Wielpütz, Thorsten Löffler, Vincent Heuveline, Friedrich Kallinowski View a PDF of the paper titled Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair, by Philipp D. L\"osel and 9 other authors View PDF Abstract:Background: Abdominal wall defects, such as incisional hernias, are a common source of pain and discomfort and often require repeated surgical interventions. Traditional mesh repair techniques typically rely on fixed overlap based on defect size, without considering important biomechanical factors like muscle activity, internal pressure, and tissue elasticity. This study aims to introduce a biomechanical approach to incisional hernia repair that accounts for abdominal wall instability and to evaluate a visualisation tool designed to support surgical planning. Methods: We developed HEDI, a tool that uses computed tomography with Valsalva maneuver to automatically assess hernia size, volume, and abdominal wall instability. This tool was applied in the preoperative evaluation of 31 patients undergoing incisional hernia repair. Surgeries were pe...

Originally published on March 31, 2026. Curated by AI News.

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