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Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging

The evolution of cirrhosis is marked by quantitative and qualitative modifications of the fibrosis tissue and an increasing risk of complications such as hepatocellular carcinoma (HCC). Our purpose was to identify by FTIR imaging the spectral characteristics of hepatic fibrosis in cirrhotic patients...

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Autores principales: Moreau, Johanna, Bouzy, Pascaline, Guillard, Julien, Untereiner, Valérie, Garnotel, Roselyne, Marchal, Aude, Gobinet, Cyril, Terryn, Christine, Sockalingum, Ganesh D., Thiéfin, Gérard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570752/
https://www.ncbi.nlm.nih.gov/pubmed/32906799
http://dx.doi.org/10.3390/molecules25184092
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author Moreau, Johanna
Bouzy, Pascaline
Guillard, Julien
Untereiner, Valérie
Garnotel, Roselyne
Marchal, Aude
Gobinet, Cyril
Terryn, Christine
Sockalingum, Ganesh D.
Thiéfin, Gérard
author_facet Moreau, Johanna
Bouzy, Pascaline
Guillard, Julien
Untereiner, Valérie
Garnotel, Roselyne
Marchal, Aude
Gobinet, Cyril
Terryn, Christine
Sockalingum, Ganesh D.
Thiéfin, Gérard
author_sort Moreau, Johanna
collection PubMed
description The evolution of cirrhosis is marked by quantitative and qualitative modifications of the fibrosis tissue and an increasing risk of complications such as hepatocellular carcinoma (HCC). Our purpose was to identify by FTIR imaging the spectral characteristics of hepatic fibrosis in cirrhotic patients with and without HCC. FTIR images were collected at projected pixel sizes of 25 and 2.7 μm from paraffinized hepatic tissues of five patients with uncomplicated cirrhosis and five cirrhotic patients with HCC and analyzed by k-means clustering. When compared to the adjacent histological section, the spectral clusters corresponding to hepatic fibrosis and regeneration nodules were easily identified. The fibrosis area estimated by FTIR imaging was correlated to that evaluated by digital image analysis of histological sections and was higher in patients with HCC compared to those without complications. Qualitative differences were also observed when fibrosis areas were specifically targeted at higher resolution. The partition in two clusters of the fibrosis tissue highlighted subtle differences in the spectral characteristics of the two groups of patients. These data show that the quantitative and qualitative changes of fibrosis tissue occurring during the course of cirrhosis are detectable by FTIR imaging, suggesting the possibility of subclassifying cirrhosis into different steps of severity.
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spelling pubmed-75707522020-10-28 Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging Moreau, Johanna Bouzy, Pascaline Guillard, Julien Untereiner, Valérie Garnotel, Roselyne Marchal, Aude Gobinet, Cyril Terryn, Christine Sockalingum, Ganesh D. Thiéfin, Gérard Molecules Article The evolution of cirrhosis is marked by quantitative and qualitative modifications of the fibrosis tissue and an increasing risk of complications such as hepatocellular carcinoma (HCC). Our purpose was to identify by FTIR imaging the spectral characteristics of hepatic fibrosis in cirrhotic patients with and without HCC. FTIR images were collected at projected pixel sizes of 25 and 2.7 μm from paraffinized hepatic tissues of five patients with uncomplicated cirrhosis and five cirrhotic patients with HCC and analyzed by k-means clustering. When compared to the adjacent histological section, the spectral clusters corresponding to hepatic fibrosis and regeneration nodules were easily identified. The fibrosis area estimated by FTIR imaging was correlated to that evaluated by digital image analysis of histological sections and was higher in patients with HCC compared to those without complications. Qualitative differences were also observed when fibrosis areas were specifically targeted at higher resolution. The partition in two clusters of the fibrosis tissue highlighted subtle differences in the spectral characteristics of the two groups of patients. These data show that the quantitative and qualitative changes of fibrosis tissue occurring during the course of cirrhosis are detectable by FTIR imaging, suggesting the possibility of subclassifying cirrhosis into different steps of severity. MDPI 2020-09-07 /pmc/articles/PMC7570752/ /pubmed/32906799 http://dx.doi.org/10.3390/molecules25184092 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Moreau, Johanna
Bouzy, Pascaline
Guillard, Julien
Untereiner, Valérie
Garnotel, Roselyne
Marchal, Aude
Gobinet, Cyril
Terryn, Christine
Sockalingum, Ganesh D.
Thiéfin, Gérard
Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title_full Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title_fullStr Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title_full_unstemmed Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title_short Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging
title_sort analysis of hepatic fibrosis characteristics in cirrhotic patients with and without hepatocellular carcinoma by ftir spectral imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570752/
https://www.ncbi.nlm.nih.gov/pubmed/32906799
http://dx.doi.org/10.3390/molecules25184092
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