Anastomotic perfusion assessment with indocyanine green in robot-assisted low-anterior resection, a multicenter study of interobserver variation.

Journal: Surgical endoscopy
PMID: 36624218

Abstract

BACKGROUND: Securing sufficient blood perfusion to the anastomotic area after low-anterior resection is a crucial factor in preventing anastomotic leakage (AL). Intra-operative indocyanine green fluorescent imaging (ICG-FI) has been suggested as a tool to assess perfusion. However, knowledge of inter-observer variation among surgeons in the interpretation of ICG-FI is sparse. Our primary objective was to evaluate inter-observer variation among surgeons in the interpretation of bowel blood-perfusion assessed visually by ICG-FI. Our secondary objective was to compare the results both from the visual assessment of ICG and from computer-based quantitative analyses of ICG-FI between patients with and without the development of AL.

Authors

  • Pernille O Larsen
    Research Unit for Surgery, Odense University Hospital, University of Southern Denmark, Odense, Denmark. Pernille.oehlenschlager.larsen0@rsyd.dk.
  • Nikolaj Nerup
    OesophagoGastric Cancer Surgery Group (OGCS), Department of Surgery and Transplantation, Rigshospitalet, University Hospital of Copenhagen, Inge Lehmanns Vej 7, 2100, Copenhagen Ø, Denmark.
  • Jesper Andersen
    Department of Surgery, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
  • Niclas Dohrn
    Department of Surgery, Copenhagen University Hospital - Herlev & Gentofte, Denmark.
  • Mads Falk Klein
    Department of Surgery, Copenhagen University Hospital - Herlev & Gentofte, Denmark.
  • Steffen Brisling
    Center for Surgical Science, Zealand University Hospital Koege, Denmark; and.
  • Soren Salomon
    Research Unit for Surgery, Odense University Hospital, University of Southern Denmark, Odense, Denmark.
  • Per V Andersen
    Research Unit for Surgery, Odense University Hospital, University of Southern Denmark, Odense, Denmark.
  • Soren Möller
    Open Patient Data Explorative Network, OPEN, Odense University Hospital and Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
  • Morten B S Svendsen
    CAMES Engineering, Copenhagen Academy of Medical Education and Simulation, Capital Region of Denmark, Copenhagen, Denmark.
  • Hans B Rahr
    Department of Surgery, Vejle Hospital, University Hospital of Southern Denmark, Vejle, Denmark.
  • Lene H Iversen
    Department of Surgery, Aarhus University Hospital, Aarhus, Denmark.
  • Ismail Gögenur
  • Niels Qvist
    Department of Surgery, Odense University Hospital, 29 Sdr. Boulevard, 5000 Odense, Denmark. niels.qvist@rsyd.dk.
  • Mark B Ellebaek
    Research Unit for Surgery, Odense University Hospital, University of Southern Denmark, Odense, Denmark.

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