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Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery
Near-infrared (NIR) imaging with indocyanine green (ICG) has proven to be useful in general, visceral, and transplant surgery. However, most studies have performed only qualitative assessments. Therefore, a systematic overview of all studies performing quantitative indocyanine green evaluation in ge...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219543/ https://www.ncbi.nlm.nih.gov/pubmed/37240657 http://dx.doi.org/10.3390/jcm12103550 |
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author | Pollmann, Lukas Juratli, Mazen Roushansarai, Nicola Pascher, Andreas Hölzen, Jens Peter |
author_facet | Pollmann, Lukas Juratli, Mazen Roushansarai, Nicola Pascher, Andreas Hölzen, Jens Peter |
author_sort | Pollmann, Lukas |
collection | PubMed |
description | Near-infrared (NIR) imaging with indocyanine green (ICG) has proven to be useful in general, visceral, and transplant surgery. However, most studies have performed only qualitative assessments. Therefore, a systematic overview of all studies performing quantitative indocyanine green evaluation in general, visceral, and transplant surgeries should be conducted. Free term and medical subject heading (MeSH) term searches were performed in the Medline and Cochrane databases until October 2022. The main categories of ICG quantification were esophageal surgery (24.6%), reconstructive surgery (24.6%), and colorectal surgery (21.3%). Concordantly, anastomotic leak (41%) was the main endpoint, followed by the assessment of flap perfusion (23%) and the identification of structures and organs (14.8%). Most studies examined open surgery (67.6%) or laparoscopic surgery (23.1%). The analysis was mainly carried out using manufacturer software (44.3%) and open-source software (15.6%). The most frequently analyzed parameter was intensity over time for blood flow assessment, followed by intensity alone or intensity-to-background ratios for structure and organ identification. Intraoperative ICG quantification could become more important with the increasing impact of robotic surgery and machine learning algorithms for image and video analysis. |
format | Online Article Text |
id | pubmed-10219543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102195432023-05-27 Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery Pollmann, Lukas Juratli, Mazen Roushansarai, Nicola Pascher, Andreas Hölzen, Jens Peter J Clin Med Systematic Review Near-infrared (NIR) imaging with indocyanine green (ICG) has proven to be useful in general, visceral, and transplant surgery. However, most studies have performed only qualitative assessments. Therefore, a systematic overview of all studies performing quantitative indocyanine green evaluation in general, visceral, and transplant surgeries should be conducted. Free term and medical subject heading (MeSH) term searches were performed in the Medline and Cochrane databases until October 2022. The main categories of ICG quantification were esophageal surgery (24.6%), reconstructive surgery (24.6%), and colorectal surgery (21.3%). Concordantly, anastomotic leak (41%) was the main endpoint, followed by the assessment of flap perfusion (23%) and the identification of structures and organs (14.8%). Most studies examined open surgery (67.6%) or laparoscopic surgery (23.1%). The analysis was mainly carried out using manufacturer software (44.3%) and open-source software (15.6%). The most frequently analyzed parameter was intensity over time for blood flow assessment, followed by intensity alone or intensity-to-background ratios for structure and organ identification. Intraoperative ICG quantification could become more important with the increasing impact of robotic surgery and machine learning algorithms for image and video analysis. MDPI 2023-05-18 /pmc/articles/PMC10219543/ /pubmed/37240657 http://dx.doi.org/10.3390/jcm12103550 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Pollmann, Lukas Juratli, Mazen Roushansarai, Nicola Pascher, Andreas Hölzen, Jens Peter Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title | Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title_full | Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title_fullStr | Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title_full_unstemmed | Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title_short | Quantification of Indocyanine Green Fluorescence Imaging in General, Visceral and Transplant Surgery |
title_sort | quantification of indocyanine green fluorescence imaging in general, visceral and transplant surgery |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219543/ https://www.ncbi.nlm.nih.gov/pubmed/37240657 http://dx.doi.org/10.3390/jcm12103550 |
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