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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doaj-841838483c454009bea2dccffb9cf6e82020-11-25T03:22:52ZengMDPI AGMolecules1420-30492020-09-01254092409210.3390/molecules25184092Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral ImagingJohanna Moreau0Pascaline Bouzy1Julien Guillard2Valérie Untereiner3Roselyne Garnotel4Aude Marchal5Cyril Gobinet6Christine Terryn7Ganesh D. Sockalingum8Gérard Thiéfin9BioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FrancePlateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne, CEDEX, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FrancePlateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne, CEDEX, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceBioSpecT-EA7506, UFR de Pharmacie, Université de Reims Champagne-Ardenne, 51097 Reims, FranceThe 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.https://www.mdpi.com/1420-3049/25/18/4092FTIR imagingk-meansfibrosiscollagencirrhosishepatocellular carcinoma |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Johanna Moreau Pascaline Bouzy Julien Guillard Valérie Untereiner Roselyne Garnotel Aude Marchal Cyril Gobinet Christine Terryn Ganesh D. Sockalingum Gérard Thiéfin |
spellingShingle |
Johanna Moreau Pascaline Bouzy Julien Guillard Valérie Untereiner Roselyne Garnotel Aude Marchal Cyril Gobinet Christine Terryn Ganesh D. Sockalingum Gérard Thiéfin Analysis of Hepatic Fibrosis Characteristics in Cirrhotic Patients with and without Hepatocellular Carcinoma by FTIR Spectral Imaging Molecules FTIR imaging k-means fibrosis collagen cirrhosis hepatocellular carcinoma |
author_facet |
Johanna Moreau Pascaline Bouzy Julien Guillard Valérie Untereiner Roselyne Garnotel Aude Marchal Cyril Gobinet Christine Terryn Ganesh D. Sockalingum Gérard Thiéfin |
author_sort |
Johanna Moreau |
title |
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_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_sort |
analysis of hepatic fibrosis characteristics in cirrhotic patients with and without hepatocellular carcinoma by ftir spectral imaging |
publisher |
MDPI AG |
series |
Molecules |
issn |
1420-3049 |
publishDate |
2020-09-01 |
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. |
topic |
FTIR imaging k-means fibrosis collagen cirrhosis hepatocellular carcinoma |
url |
https://www.mdpi.com/1420-3049/25/18/4092 |
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