4.6 Article

Peroperative personalised decision support and analytics for colon cancer surgery- Short report

Journal

EJSO
Volume 47, Issue 2, Pages 477-479

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.ejso.2020.04.010

Keywords

Colorectal surgery; Computer-assistance; Artificial intelligence; Computer vision; Fluorescence gudied surgery; Digital surgery

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The success of modern surgery still relies on the judgment and decision-making of surgeons, and computer-assisted surgery can provide further assistance with real-time data without necessarily needing new hardware platforms. Methods to support personalized surgical endeavors currently exist and can be applied within standard laparoscopic surgery paradigms.
Advanced instrumentation whether robotic or non-robotic- hasn't itself made for better surgery as all critical measures of operative success depend still on intraoperative surgeon judgement and decision-making. Computer assisted surgery, or digital surgery, refers to the combination of technology with real-time data during an operation and is often assumed to need new hardware platforms to become a reality. However, methods to support personalised surgical endeavour exist now and can be deployed today within standard laparoscopic paradigms. Here we describe in detail the rationale for the deployment of such assistance for surgical step-advancement in our current practice evolution from traditional proximal colon cancer resection to complete mesocolic excision focussing on personalised 3d anatomical display, intraoperative, quantificative fluorescence assessment of intracorporeal anastomoses and postoperative digital feedback to enable reflection and identify areas of technical improvement. (C) 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license.

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