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Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery
PURPOSE: This study aimed to quantitatively evaluate colon perfusion patterns using indocyanine green (ICG) angiography to find the most reliable predictive factor of anastomotic complications after laparoscopic colorectal surgery. METHODS: Laparoscopic fluorescence imaging was applied to colorectal...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484815/ https://www.ncbi.nlm.nih.gov/pubmed/30203201 http://dx.doi.org/10.1007/s00464-018-6439-y |
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author | Son, Gyung Mo Kwon, Myeong Sook Kim, Yoonhong Kim, Jisu Kim, Seung Hwa Lee, Jung Woo |
author_facet | Son, Gyung Mo Kwon, Myeong Sook Kim, Yoonhong Kim, Jisu Kim, Seung Hwa Lee, Jung Woo |
author_sort | Son, Gyung Mo |
collection | PubMed |
description | PURPOSE: This study aimed to quantitatively evaluate colon perfusion patterns using indocyanine green (ICG) angiography to find the most reliable predictive factor of anastomotic complications after laparoscopic colorectal surgery. METHODS: Laparoscopic fluorescence imaging was applied to colorectal cancer patients (n = 86) from July 2015 to December 2017. ICG (0.25 mg/kg) was slowly injected into peripheral blood vessels, and the fluorescence intensity of colonic flow was measured sequentially, producing perfusion graphs using a video analysis and modeling tool. Colon perfusion patterns were categorized as either fast, moderate, or slow based on their fluorescence slope, T(1/2MAX) and time ratio (TR = T(1/2MAX)/T(MAX)). Clinical factors and quantitative perfusion factors were analyzed to identify predictors for anastomotic complications. RESULTS: The mean age of patients was 65.4 years, and the male-to-female ratio was 63:23. Their operations were laparoscopic low anterior resection (55 cases) and anterior resection (31 cases). The incidence of anastomotic complication was 7%, including colonic necrosis (n = 1), anastomotic leak (n = 3), delayed pelvic abscess (n = 1), and delayed anastomotic dehiscence (n = 1). Based on quantitative analysis, the fluorescence slope, T(1/2MAX), and TR were related with anastomotic complications. The cut-off value of TR to categorize the perfusion pattern was determined to be 0.6, as shown by ROC curve analysis (AUC 0.929, P < 0.001). Slow perfusion (TR > 0.6) was independent factor for anastomotic complications in a logistic regression model (OR 130.84; 95% CI 6.45–2654.75; P = 0.002). Anastomotic complications were significantly correlated with the novel factor TR (> 0.6) as the most reliable predictor of perfusion and anastomotic complications. CONCLUSIONS: Quantitative analysis of ICG perfusion patterns using T(1/2MAX) and TR can be applied to detect segments with poor perfusion, thereby reducing anastomotic complications during laparoscopic colorectal surgery. |
format | Online Article Text |
id | pubmed-6484815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-64848152019-05-15 Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery Son, Gyung Mo Kwon, Myeong Sook Kim, Yoonhong Kim, Jisu Kim, Seung Hwa Lee, Jung Woo Surg Endosc 2018 SAGES Oral PURPOSE: This study aimed to quantitatively evaluate colon perfusion patterns using indocyanine green (ICG) angiography to find the most reliable predictive factor of anastomotic complications after laparoscopic colorectal surgery. METHODS: Laparoscopic fluorescence imaging was applied to colorectal cancer patients (n = 86) from July 2015 to December 2017. ICG (0.25 mg/kg) was slowly injected into peripheral blood vessels, and the fluorescence intensity of colonic flow was measured sequentially, producing perfusion graphs using a video analysis and modeling tool. Colon perfusion patterns were categorized as either fast, moderate, or slow based on their fluorescence slope, T(1/2MAX) and time ratio (TR = T(1/2MAX)/T(MAX)). Clinical factors and quantitative perfusion factors were analyzed to identify predictors for anastomotic complications. RESULTS: The mean age of patients was 65.4 years, and the male-to-female ratio was 63:23. Their operations were laparoscopic low anterior resection (55 cases) and anterior resection (31 cases). The incidence of anastomotic complication was 7%, including colonic necrosis (n = 1), anastomotic leak (n = 3), delayed pelvic abscess (n = 1), and delayed anastomotic dehiscence (n = 1). Based on quantitative analysis, the fluorescence slope, T(1/2MAX), and TR were related with anastomotic complications. The cut-off value of TR to categorize the perfusion pattern was determined to be 0.6, as shown by ROC curve analysis (AUC 0.929, P < 0.001). Slow perfusion (TR > 0.6) was independent factor for anastomotic complications in a logistic regression model (OR 130.84; 95% CI 6.45–2654.75; P = 0.002). Anastomotic complications were significantly correlated with the novel factor TR (> 0.6) as the most reliable predictor of perfusion and anastomotic complications. CONCLUSIONS: Quantitative analysis of ICG perfusion patterns using T(1/2MAX) and TR can be applied to detect segments with poor perfusion, thereby reducing anastomotic complications during laparoscopic colorectal surgery. Springer US 2018-09-10 2019 /pmc/articles/PMC6484815/ /pubmed/30203201 http://dx.doi.org/10.1007/s00464-018-6439-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | 2018 SAGES Oral Son, Gyung Mo Kwon, Myeong Sook Kim, Yoonhong Kim, Jisu Kim, Seung Hwa Lee, Jung Woo Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title | Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title_full | Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title_fullStr | Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title_full_unstemmed | Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title_short | Quantitative analysis of colon perfusion pattern using indocyanine green (ICG) angiography in laparoscopic colorectal surgery |
title_sort | quantitative analysis of colon perfusion pattern using indocyanine green (icg) angiography in laparoscopic colorectal surgery |
topic | 2018 SAGES Oral |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484815/ https://www.ncbi.nlm.nih.gov/pubmed/30203201 http://dx.doi.org/10.1007/s00464-018-6439-y |
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