Interobserver Variability in the Assessment of Fluorescence Angiography in the Colon.


Journal

Surgical innovation
ISSN: 1553-3514
Titre abrégé: Surg Innov
Pays: United States
ID NLM: 101233809

Informations de publication

Date de publication:
Feb 2023
Historique:
pubmed: 16 11 2022
medline: 15 2 2023
entrez: 15 11 2022
Statut: ppublish

Résumé

Fluorescence angiography in colorectal surgery is a technique that may lead to lower anastomotic leak rates. However, the interpretation of the fluorescent signal is not standardised and there is a paucity of data regarding interobserver agreement. The aim of this study is to assess interobserver variability in selection of the transection point during fluorescence angiography before anastomosis. An online survey with still images of fluorescence angiography was distributed through colorectal surgery channels containing images from 13 patients where several areas for transection were displayed to be chosen by raters. Agreement was assessed overall and between pre-planned rater cohorts (experts vs non-experts; trainees vs consultants; colorectal specialists vs non colorectal specialists), using Fleiss' kappa statistic. 101 raters had complete image ratings. No significant difference was found between raters when choosing a point of optimal bowel transection based on fluorescence angiography still images. There was no difference between pre-planned cohorts analysed (experts vs non-experts; trainees vs consultants; colorectal specialists vs non colorectal specialists). Agreement between these cohorts was poor (<.26). Whilst there is no learning curve for the technical adoption of FA, understanding the fluorescent signal characteristics is key to successful use. We found significant variation exists in interpretation of static fluorescence angiography data. Further efforts should be employed to standardise fluorescence angiography assessment.

Sections du résumé

BACKGROUND BACKGROUND
Fluorescence angiography in colorectal surgery is a technique that may lead to lower anastomotic leak rates. However, the interpretation of the fluorescent signal is not standardised and there is a paucity of data regarding interobserver agreement. The aim of this study is to assess interobserver variability in selection of the transection point during fluorescence angiography before anastomosis.
METHODS METHODS
An online survey with still images of fluorescence angiography was distributed through colorectal surgery channels containing images from 13 patients where several areas for transection were displayed to be chosen by raters. Agreement was assessed overall and between pre-planned rater cohorts (experts vs non-experts; trainees vs consultants; colorectal specialists vs non colorectal specialists), using Fleiss' kappa statistic.
RESULTS RESULTS
101 raters had complete image ratings. No significant difference was found between raters when choosing a point of optimal bowel transection based on fluorescence angiography still images. There was no difference between pre-planned cohorts analysed (experts vs non-experts; trainees vs consultants; colorectal specialists vs non colorectal specialists). Agreement between these cohorts was poor (<.26).
CONCLUSION CONCLUSIONS
Whilst there is no learning curve for the technical adoption of FA, understanding the fluorescent signal characteristics is key to successful use. We found significant variation exists in interpretation of static fluorescence angiography data. Further efforts should be employed to standardise fluorescence angiography assessment.

Identifiants

pubmed: 36377296
doi: 10.1177/15533506221132681
doi:

Substances chimiques

Indocyanine Green IX6J1063HV
Coloring Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

45-49

Auteurs

Antonio S Soares (AS)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Division of Surgery and Interventional Sciences, 4919University College London, London, UK.

Neil T Clancy (NT)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Department of Medical Physics and Biomedical Engineering, 4919University College London, London, UK.

Sophia Bano (S)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Department of Computer Science, 4919University College London, London, UK.

Imran Raza (I)

University College London Hospital, 8964University College London Hospitals NHS Trust, London, UK.

Michelle Diana (M)

IRCAD, Research Institute Against Digestive Cancer, Strasbourg, France.
ICube Lab, Photonics for Health, University of Strasbourg, France.

Laurence B Lovat (LB)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Division of Surgery and Interventional Sciences, 4919University College London, London, UK.

Danail Stoyanov (D)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Department of Computer Science, 4919University College London, London, UK.

Manish Chand (M)

4919Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), London, UK.
Division of Surgery and Interventional Sciences, 4919University College London, London, UK.

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Classifications MeSH