Quantitative Ultrasound in Ex Vivo Fibrotic Rabbit Livers
Liver fibrosis is the common result of chronic liver disease. Diagnosis and grading liver fibrosis for patient management is mainly based on blood tests and hepatic puncture-biopsy, which is particularly invasive. Quantitative ultrasound (QUS) techniques provide insight into tissue microstructure an...
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| Vydané v: | Ultrasound in medicine & biology Ročník 45; číslo 7; s. 1777 |
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| Hlavní autori: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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England
01.07.2019
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| ISSN: | 1879-291X, 1879-291X |
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| Abstract | Liver fibrosis is the common result of chronic liver disease. Diagnosis and grading liver fibrosis for patient management is mainly based on blood tests and hepatic puncture-biopsy, which is particularly invasive. Quantitative ultrasound (QUS) techniques provide insight into tissue microstructure and are based on the frequency-based analysis of the signals from biologic tissues. This study aims to quantify how spectral-based QUS parameters change with fibrosis grade. The changes in QUS parameters of healthy and fibrotic rabbit liver samples were investigated and were compared with the changes in liver stiffness, using shear wave elastography. Overall, the acoustic concentration was found to decrease with increasing fibrosis grade, and the effective scatterer size was found to be higher in fibrotic livers when compared with normal liver. The result of this study indicates that the combination of three QUS parameters (stiffness, effective scatterer size and acoustic concentration) provides the best classification performance, especially for classifying healthy and fibrotic livers. |
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| AbstractList | Liver fibrosis is the common result of chronic liver disease. Diagnosis and grading liver fibrosis for patient management is mainly based on blood tests and hepatic puncture-biopsy, which is particularly invasive. Quantitative ultrasound (QUS) techniques provide insight into tissue microstructure and are based on the frequency-based analysis of the signals from biologic tissues. This study aims to quantify how spectral-based QUS parameters change with fibrosis grade. The changes in QUS parameters of healthy and fibrotic rabbit liver samples were investigated and were compared with the changes in liver stiffness, using shear wave elastography. Overall, the acoustic concentration was found to decrease with increasing fibrosis grade, and the effective scatterer size was found to be higher in fibrotic livers when compared with normal liver. The result of this study indicates that the combination of three QUS parameters (stiffness, effective scatterer size and acoustic concentration) provides the best classification performance, especially for classifying healthy and fibrotic livers.Liver fibrosis is the common result of chronic liver disease. Diagnosis and grading liver fibrosis for patient management is mainly based on blood tests and hepatic puncture-biopsy, which is particularly invasive. Quantitative ultrasound (QUS) techniques provide insight into tissue microstructure and are based on the frequency-based analysis of the signals from biologic tissues. This study aims to quantify how spectral-based QUS parameters change with fibrosis grade. The changes in QUS parameters of healthy and fibrotic rabbit liver samples were investigated and were compared with the changes in liver stiffness, using shear wave elastography. Overall, the acoustic concentration was found to decrease with increasing fibrosis grade, and the effective scatterer size was found to be higher in fibrotic livers when compared with normal liver. The result of this study indicates that the combination of three QUS parameters (stiffness, effective scatterer size and acoustic concentration) provides the best classification performance, especially for classifying healthy and fibrotic livers. Liver fibrosis is the common result of chronic liver disease. Diagnosis and grading liver fibrosis for patient management is mainly based on blood tests and hepatic puncture-biopsy, which is particularly invasive. Quantitative ultrasound (QUS) techniques provide insight into tissue microstructure and are based on the frequency-based analysis of the signals from biologic tissues. This study aims to quantify how spectral-based QUS parameters change with fibrosis grade. The changes in QUS parameters of healthy and fibrotic rabbit liver samples were investigated and were compared with the changes in liver stiffness, using shear wave elastography. Overall, the acoustic concentration was found to decrease with increasing fibrosis grade, and the effective scatterer size was found to be higher in fibrotic livers when compared with normal liver. The result of this study indicates that the combination of three QUS parameters (stiffness, effective scatterer size and acoustic concentration) provides the best classification performance, especially for classifying healthy and fibrotic livers. |
| Author | Mendes, Vanda Bouakaz, Ayache Novell, Anthony Benane, Yanis M Escoffre, Jean-Michel Franceschini, Emilie Auboire, Laurent Basset, Olivier |
| Author_xml | – sequence: 1 givenname: Emilie surname: Franceschini fullname: Franceschini, Emilie email: franceschini@lma.cnrs-mrs.fr organization: Aix-Marseille Université, CNRS, Centrale Marseille, LMA, Marseille, France. Electronic address: franceschini@lma.cnrs-mrs.fr – sequence: 2 givenname: Jean-Michel surname: Escoffre fullname: Escoffre, Jean-Michel organization: UMR 1253, iBrain, Université de Tours, Inserm, Tours, France – sequence: 3 givenname: Anthony surname: Novell fullname: Novell, Anthony organization: UMR 1253, iBrain, Université de Tours, Inserm, Tours, France – sequence: 4 givenname: Laurent surname: Auboire fullname: Auboire, Laurent organization: UMR 1253, iBrain, Université de Tours, Inserm, Tours, France – sequence: 5 givenname: Vanda surname: Mendes fullname: Mendes, Vanda organization: UMR 1253, iBrain, Université de Tours, Inserm, Tours, France – sequence: 6 givenname: Yanis M surname: Benane fullname: Benane, Yanis M organization: Université Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Lyon, France – sequence: 7 givenname: Ayache surname: Bouakaz fullname: Bouakaz, Ayache organization: UMR 1253, iBrain, Université de Tours, Inserm, Tours, France – sequence: 8 givenname: Olivier surname: Basset fullname: Basset, Olivier organization: Université Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Lyon, France |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31023499$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_measurement_2023_114046 crossref_primary_10_1109_JBHI_2021_3100319 crossref_primary_10_1007_s11307_025_02007_2 crossref_primary_10_1016_j_ultrasmedbio_2020_03_005 crossref_primary_10_1109_TUFFC_2024_3379293 crossref_primary_10_1002_mp_16762 crossref_primary_10_1121_10_0001972 crossref_primary_10_1002_jum_16582 crossref_primary_10_1038_s41598_021_82153_z crossref_primary_10_1103_PhysRevX_10_021048 crossref_primary_10_1016_j_ultrasmedbio_2020_10_025 |
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| Copyright | Copyright © 2019 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved. |
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| Issue | 7 |
| Keywords | Fibrotic liver Stiffness Quantitative ultrasound Backscatter coefficient |
| Language | English |
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| SubjectTerms | Animals Elasticity Imaging Techniques - methods Liver - diagnostic imaging Liver Cirrhosis - diagnostic imaging Male Rabbits |
| Title | Quantitative Ultrasound in Ex Vivo Fibrotic Rabbit Livers |
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