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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...

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Autores principales: Son, Gyung Mo, Kwon, Myeong Sook, Kim, Yoonhong, Kim, Jisu, Kim, Seung Hwa, Lee, Jung Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
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.
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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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