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Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging

PURPOSE: Clear delineation between tumors and normal tissues is ideal for real-time surgical navigation imaging. We investigated applying indocyanine green (ICG) fluorescence imaging navigation using an intraoperative administration method in liver resection. METHODS: Fifty patients who underwent li...

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Autores principales: Zhang, Ya-Min, Shi, Rui, Hou, Jian-Cun, Liu, Zi-Rong, Cui, Zi-Lin, Li, Yang, Wu, Di, Shi, Yuan, Shen, Zhong-Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222935/
https://www.ncbi.nlm.nih.gov/pubmed/27629877
http://dx.doi.org/10.1007/s00432-016-2267-4
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author Zhang, Ya-Min
Shi, Rui
Hou, Jian-Cun
Liu, Zi-Rong
Cui, Zi-Lin
Li, Yang
Wu, Di
Shi, Yuan
Shen, Zhong-Yang
author_facet Zhang, Ya-Min
Shi, Rui
Hou, Jian-Cun
Liu, Zi-Rong
Cui, Zi-Lin
Li, Yang
Wu, Di
Shi, Yuan
Shen, Zhong-Yang
author_sort Zhang, Ya-Min
collection PubMed
description PURPOSE: Clear delineation between tumors and normal tissues is ideal for real-time surgical navigation imaging. We investigated applying indocyanine green (ICG) fluorescence imaging navigation using an intraoperative administration method in liver resection. METHODS: Fifty patients who underwent liver resection were divided into two groups based on clinical situation and operative purpose. In group I, sizes of superficial liver tumors were determined; tiny tumors were identified. In group II, the liver resection margin was determined; real-time navigation was performed. ICG was injected intravenously at the beginning of the operation; the liver surface was observed with a photodynamic eye (PDE). RESULTS: Liver resection margins were determined using PDE. Fluorescence contrast between normal liver and tumor tissues was obvious in 32 of 35 patients. A boundary for half the liver or specific liver segments was determined in nine patients by examining the portal vein anatomy after ICG injection. Eight small tumors not observed preoperatively were detected; the smallest was 2 mm. CONCLUSIONS: ICG fluorescence imaging navigation is a promising, simple, and safe tool for routine real-time intraoperative imaging during hepatic resection and clinical exploration in hepatocellular carcinoma, enabling high sensibility for identifying liver resection margins and detecting tiny superficial tumors.
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spelling pubmed-52229352017-01-19 Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging Zhang, Ya-Min Shi, Rui Hou, Jian-Cun Liu, Zi-Rong Cui, Zi-Lin Li, Yang Wu, Di Shi, Yuan Shen, Zhong-Yang J Cancer Res Clin Oncol Original Article – Cancer Research PURPOSE: Clear delineation between tumors and normal tissues is ideal for real-time surgical navigation imaging. We investigated applying indocyanine green (ICG) fluorescence imaging navigation using an intraoperative administration method in liver resection. METHODS: Fifty patients who underwent liver resection were divided into two groups based on clinical situation and operative purpose. In group I, sizes of superficial liver tumors were determined; tiny tumors were identified. In group II, the liver resection margin was determined; real-time navigation was performed. ICG was injected intravenously at the beginning of the operation; the liver surface was observed with a photodynamic eye (PDE). RESULTS: Liver resection margins were determined using PDE. Fluorescence contrast between normal liver and tumor tissues was obvious in 32 of 35 patients. A boundary for half the liver or specific liver segments was determined in nine patients by examining the portal vein anatomy after ICG injection. Eight small tumors not observed preoperatively were detected; the smallest was 2 mm. CONCLUSIONS: ICG fluorescence imaging navigation is a promising, simple, and safe tool for routine real-time intraoperative imaging during hepatic resection and clinical exploration in hepatocellular carcinoma, enabling high sensibility for identifying liver resection margins and detecting tiny superficial tumors. Springer Berlin Heidelberg 2016-09-14 2017 /pmc/articles/PMC5222935/ /pubmed/27629877 http://dx.doi.org/10.1007/s00432-016-2267-4 Text en © The Author(s) 2016 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 Original Article – Cancer Research
Zhang, Ya-Min
Shi, Rui
Hou, Jian-Cun
Liu, Zi-Rong
Cui, Zi-Lin
Li, Yang
Wu, Di
Shi, Yuan
Shen, Zhong-Yang
Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title_full Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title_fullStr Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title_full_unstemmed Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title_short Liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
title_sort liver tumor boundaries identified intraoperatively using real-time indocyanine green fluorescence imaging
topic Original Article – Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5222935/
https://www.ncbi.nlm.nih.gov/pubmed/27629877
http://dx.doi.org/10.1007/s00432-016-2267-4
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