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

Autor: Moreau, Johanna, Bouzy, Pascaline, Guillard, Julien, Untereiner, Valérie, Garnotel, Roselyne, Marchal, Aude, Gobinet, Cyril, Terryn, Christine, Sockalingum, Ganesh, Thiéfin, Gérard
Přispěvatelé: Biospectroscopie Translationnelle - EA 7506 (BIOSPECT), Université de Reims Champagne-Ardenne (URCA), Plateforme en Imagerie Cellulaire et Tissulaire (PICT), Université de Reims Champagne-Ardenne (URCA)-SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV), Centre Hospitalier Universitaire de Reims (CHU Reims)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Diagnostic Imaging
Liver Cirrhosis
collagen
[PHYS.PHYS.PHYS-BIO-PH]Physics [physics]/Physics [physics]/Biological Physics [physics.bio-ph]
Biopsy
k-means
[SDV.CAN]Life Sciences [q-bio]/Cancer
[SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC]
Article
FTIR imaging
lcsh:QD241-441
stomatognathic system
lcsh:Organic chemistry
[SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB]
Spectroscopy
Fourier Transform Infrared
Image Processing
Computer-Assisted
Humans
cirrhosis
Liver Neoplasms
fibrosis
hepatocellular carcinoma
digestive system diseases
Tumor Burden
[SDV.BBM.BP]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Biophysics
[SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Zdroj: Molecules, Vol 25, Iss 4092, p 4092 (2020)
Molecules
Volume 25
Issue 18
Molecules, MDPI, 2020, 25 (18), pp.4092. ⟨10.3390/molecules25184092⟩
ISSN: 1420-3049
Popis: 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 &mu
m 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.
Databáze: OpenAIRE
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