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Deconstructing mastery in colorectal fluorescence angiography interpretation
INTRODUCTION: Indocyanine green fluorescence angiography (ICGFA) is commonly used in colorectal anastomotic practice with limited pre-training. Recent work has shown that there is considerable inconsistency in signal interpretation between surgeons with minimal or no experience versus those consciou...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652172/ https://www.ncbi.nlm.nih.gov/pubmed/35543771 http://dx.doi.org/10.1007/s00464-022-09299-3 |
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author | Dalli, Jeffrey Shanahan, Sarah Hardy, Niall P. Chand, Manish Hompes, Roel Jayne, David Ris, Frederic Spinelli, Antonino Wexner, Steven Cahill, Ronan A. |
author_facet | Dalli, Jeffrey Shanahan, Sarah Hardy, Niall P. Chand, Manish Hompes, Roel Jayne, David Ris, Frederic Spinelli, Antonino Wexner, Steven Cahill, Ronan A. |
author_sort | Dalli, Jeffrey |
collection | PubMed |
description | INTRODUCTION: Indocyanine green fluorescence angiography (ICGFA) is commonly used in colorectal anastomotic practice with limited pre-training. Recent work has shown that there is considerable inconsistency in signal interpretation between surgeons with minimal or no experience versus those consciously invested in mastery of the technique. Here, we deconstruct the fluorescence signal patterns of expert-annotated surgical ICGFA videos to understand better their correlation and combine this with structured interviews to ascertain whether such interpretative capability is conscious or unconscious. METHODS: For fluorescence signal analysis, expert-annotated ICGFA videos (n = 24) were quantitatively interrogated using a boutique intensity tracker (IBM Research) to generate signal time plots. Such fluorescence intensity data were examined for inter-observer correlation (Intraclass Correlation Coefficients, ICC) at specific curve milestones: the maximum fluorescence signal (F(max)), the times to both achieve this maximum (T(max)), as well as half this maximum (T(1/2max)) and the ratio between these (T(1/2)/T(max)). Formal tele-interview with contributing experts (n = 6) was conducted with the narrative transcripts being thematically mapped, plotted, and qualitatively analyzed. RESULTS: Correlation by mathematical measures was excellent (ICC0.9–1.0) for F(max), T(max), and T(1/2max) (0.95, 0.938, and 0.925, respectively) and moderate (0.5–0.75) for T(1/2)/T(max) (0.729). While all experts narrated a deliberate viewing strategy, their specific dynamic signal appreciation differed in the manner of description. CONCLUSION: Expert ICGFA users demonstrate high correlation in mathematical measures of their signal interpretation although do so tacitly. Computational quantification of expert behavior can help develop the necessary lexicon and training sets as well as computer vision methodology to better exploit ICGFA technology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00464-022-09299-3. |
format | Online Article Text |
id | pubmed-9652172 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-96521722022-11-15 Deconstructing mastery in colorectal fluorescence angiography interpretation Dalli, Jeffrey Shanahan, Sarah Hardy, Niall P. Chand, Manish Hompes, Roel Jayne, David Ris, Frederic Spinelli, Antonino Wexner, Steven Cahill, Ronan A. Surg Endosc Article INTRODUCTION: Indocyanine green fluorescence angiography (ICGFA) is commonly used in colorectal anastomotic practice with limited pre-training. Recent work has shown that there is considerable inconsistency in signal interpretation between surgeons with minimal or no experience versus those consciously invested in mastery of the technique. Here, we deconstruct the fluorescence signal patterns of expert-annotated surgical ICGFA videos to understand better their correlation and combine this with structured interviews to ascertain whether such interpretative capability is conscious or unconscious. METHODS: For fluorescence signal analysis, expert-annotated ICGFA videos (n = 24) were quantitatively interrogated using a boutique intensity tracker (IBM Research) to generate signal time plots. Such fluorescence intensity data were examined for inter-observer correlation (Intraclass Correlation Coefficients, ICC) at specific curve milestones: the maximum fluorescence signal (F(max)), the times to both achieve this maximum (T(max)), as well as half this maximum (T(1/2max)) and the ratio between these (T(1/2)/T(max)). Formal tele-interview with contributing experts (n = 6) was conducted with the narrative transcripts being thematically mapped, plotted, and qualitatively analyzed. RESULTS: Correlation by mathematical measures was excellent (ICC0.9–1.0) for F(max), T(max), and T(1/2max) (0.95, 0.938, and 0.925, respectively) and moderate (0.5–0.75) for T(1/2)/T(max) (0.729). While all experts narrated a deliberate viewing strategy, their specific dynamic signal appreciation differed in the manner of description. CONCLUSION: Expert ICGFA users demonstrate high correlation in mathematical measures of their signal interpretation although do so tacitly. Computational quantification of expert behavior can help develop the necessary lexicon and training sets as well as computer vision methodology to better exploit ICGFA technology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00464-022-09299-3. Springer US 2022-05-11 2022 /pmc/articles/PMC9652172/ /pubmed/35543771 http://dx.doi.org/10.1007/s00464-022-09299-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dalli, Jeffrey Shanahan, Sarah Hardy, Niall P. Chand, Manish Hompes, Roel Jayne, David Ris, Frederic Spinelli, Antonino Wexner, Steven Cahill, Ronan A. Deconstructing mastery in colorectal fluorescence angiography interpretation |
title | Deconstructing mastery in colorectal fluorescence angiography interpretation |
title_full | Deconstructing mastery in colorectal fluorescence angiography interpretation |
title_fullStr | Deconstructing mastery in colorectal fluorescence angiography interpretation |
title_full_unstemmed | Deconstructing mastery in colorectal fluorescence angiography interpretation |
title_short | Deconstructing mastery in colorectal fluorescence angiography interpretation |
title_sort | deconstructing mastery in colorectal fluorescence angiography interpretation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652172/ https://www.ncbi.nlm.nih.gov/pubmed/35543771 http://dx.doi.org/10.1007/s00464-022-09299-3 |
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