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Journal of Biomedical Optics • Open Access

Toward surface quantification of liver fibrosis progression
Author(s): Yuting He; Chiang Huen Kang; Shuoyu Xu; Xiaoye Tuo; Scott Trasti; Dean C. S. Tai; Anju Mythereyi Raja; Qiwen Peng; Peter T. C. So; Jagath C. Rajapakse; Roy Welsch; Hanry Yu

Paper Abstract

Monitoring liver fibrosis progression by liver biopsy is important for certain treatment decisions, but repeated biopsy is invasive. We envision redefinition or elimination of liver biopsy with surface scanning of the liver with minimally invasive optical methods. This would be possible only if the information contained on or near liver surfaces accurately reflects the liver fibrosis progression in the liver interior. In our study, we acquired the second-harmonic generation and two-photon excitation fluorescence microscopy images of liver tissues from bile duct-ligated rat model of liver fibrosis. We extracted morphology-based features, such as total collagen, collagen in bile duct areas, bile duct proliferation, and areas occupied by remnant hepatocytes, and defined the capsule and subcapsular regions on the liver surface based on image analysis of features. We discovered a strong correlation between the liver fibrosis progression on the anterior surface and interior in both liver lobes, where biopsy is typically obtained. The posterior surface exhibits less correlation with the rest of the liver. Therefore, scanning the anterior liver surface would obtain similar information to that obtained from biopsy for monitoring liver fibrosis progression.

Paper Details

Date Published: 1 September 2010
PDF: 11 pages
J. Biomed. Opt. 15(5) 056007 doi: 10.1117/1.3490414
Published in: Journal of Biomedical Optics Volume 15, Issue 5
Show Author Affiliations
Yuting He, Institute of Bioengineering and Nanotechnology (Singapore)
Chiang Huen Kang, Institute of Bioengineering and Nanotechnology (Singapore)
Shuoyu Xu, Institute of Bioengineering and Nanotechnology (Singapore)
Xiaoye Tuo, Singapore-MIT Alliance (Singapore)
Scott Trasti, National Univ. of Singapore (Singapore)
Dean C. S. Tai, Institute of Bioengineering and Nanotechnology (Singapore)
Anju Mythereyi Raja, Institute of Bioengineering and Nanotechnology (Singapore)
Qiwen Peng, Singapore-MIT Alliance (Singapore)
Peter T. C. So, Massachusetts Institute of Technology (United States)
Jagath C. Rajapakse, Nanyang Technological Univ. (Singapore)
Roy Welsch, Singapore-MIT Alliance (Singapore)
Hanry Yu, National Univ. of Singapore (Singapore)

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