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  4. Young's modulus measurements of human liver and correlation with pathological findings
 
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Young's modulus measurements of human liver and correlation with pathological findings

Journal
Proceedings of the IEEE Ultrasonics Symposium
Journal Volume
2
Pages
1233-1236
Date Issued
2001
Author(s)
Yeh W.-C.
YUNG-MING JENG  
Hsu H.-C.
PO-LING KUO  
Li M.-L.
PEI-MING YANG  
PO-HUANG LEE  
PAI-CHI LI  
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-0035731760&partnerID=40&md5=efae6b5de40f6d8bb8bb6e625812cf8a
https://scholars.lib.ntu.edu.tw/handle/123456789/521533
Abstract
Viral hepatitis causes fibrosis in liver and may change liver's mechanical properties. To evaluate the impact of fibrosis on elastic properties of human liver and to investigate potential benefits of ultrasonic elasticity imaging, nineteen fresh human liver samples and one hepatic tumor (focal nodular hyperplasia) sample obtained during operations were studied. Simple 1D estimates based on the cyclic compression-relaxation method were performed. Young's modulus values were derived from the pre-determined strain (controlled by a step motor system) and the stress values (measured by an electronic balance). Each specimen subsequently received histological examination and a grade of liver fibrosis was scored from 0 to 5. Results show that the Young's modulus values were at the order of several hundreds to thousands Pascals. The Young's modulus generally increased with the fibrosis grade though some discrepancies existed at the middle grades of fibrosis (score 1-3). The correlation between the fibrosis score and the Young's modulus was significant (P<0.01) based on the statistical analysis using the Pearson correlation method. It was concluded that severity of fibrosis had a good correlation with stiffness of liver. Results also indicated that the elasticity imaging of liver may provide significant clinical values if the Young's modulus can be accurately measured.
SDGs

[SDGs]SDG3

Other Subjects
Biological organs; Correlation methods; Elastic moduli; Histology; Pathology; Tissue; Tumors; Fibrosis; Human liver; Pearson correlation method; Ultrasonic imaging
Type
conference paper

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