Peroperative personalised decision support and analytics for colon cancer surgery- Short report. Issue 2 (February 2021)

• Record Type: Journal Article
• Authors: Khan, Mohammad Faraz; Cahill, Ronan A.
• Is Part Of: European journal of surgical oncology. Volume 47:Issue 2(2021)
• Page Start: 477
• Page End: 479
• Publication Date: 2021-02
• Subjects: Colorectal surgery -- Computer-assistance -- Artificial intelligence -- Computer vision -- Fluorescence gudied surgery -- Digital surgery; Oncology -- Periodicals; Cancer -- Surgery -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- surgery -- Periodicals; Cancer -- Chirurgie -- Périodiques; Cancérologie -- Périodiques; Oncologie; Chirurgie (geneeskunde); Electronic journals; Electronic journals -- Sciences; Electronic journals -- Medicine; Electronic journals; 616.994059005
• DOI: 10.1016/j.ejso.2020.04.010
• Languages: English
• ISSNs: 0748-7983

Abstract

Abstract: 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.