Abstract

.Intestinal anastomosis is a surgical procedure that restores bowel continuity after surgical resection to treat intestinal malignancy, inflammation, or obstruction. Despite the routine nature of intestinal anastomosis procedures, the rate of complications is high. Standard visual inspection cannot distinguish the tissue subsurface and small changes in spectral characteristics of the tissue, so existing tissue anastomosis techniques that rely on human vision to guide suturing could lead to problems such as bleeding and leakage from suturing sites. We present a proof-of-concept study using a portable multispectral imaging (MSI) platform for tissue characterization and preoperative surgical planning in intestinal anastomosis. The platform is composed of a fiber ring light-guided MSI system coupled with polarizers and image analysis software. The system is tested on ex vivo porcine intestine tissue, and we demonstrate the feasibility of identifying optimal regions for suture placement.

Highlights

  • Over a million anastomoses are performed in the United States each year for visceral indication alone.[1]

  • We demonstrate an multispectral imaging (MSI) platform that offers a guide to surgeons for optimum suture placement in bowel anastomosis

  • At 770 nm, light penetrates deeper within the tissue, revealing subsurface features [yellow arrows in Figs. 3(c) and 3(f)]. This figure demonstrates that the cross-polarization scheme can successfully eliminate surface reflections such as glare from the tissue

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Summary

Introduction

Over a million anastomoses are performed in the United States each year for visceral indication alone (gastrointestinal, urological, and gynecological surgeries).[1]. There have been remarkable advances in surgical imaging systems[9,10] and contrast-enhancing methods[11] for improving surgical vision,[12] it is desirable to have optical imaging tools to guide and improve the surgeon’s intraoperative decisions and facilitate anastomosis with a clearer target-to-background tissue contrast to improve surgical outcomes

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