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Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy

2009; SPIE; Volume: 14; Issue: 4 Linguagem: Inglês

10.1117/1.3183811

1560-2281

Dean Tai, Nancy Tan, Shuoyu Xu, Chiang Huen Kang, Ser Mien Chia, Chee Leong Cheng, Aileen Wee, Chiang Li Wei, Anju Mythreyi Raja, Guangfa Xiao, Shi Chang, Jagath C. Rajapakse, Peter T. C. So, Huihuan Tang, Chien Shing Chen, Hanry Yu,

Hepatocellular Carcinoma Treatment and Prognosis

We develop a standardized, fully automated, quantification system for liver fibrosis assessment using second harmonic generation microscopy and a morphology-based quantification algorithm. Liver fibrosis is associated with an abnormal increase in collagen as a result of chronic liver diseases. Histopathological scoring is the most commonly used method for liver fibrosis assessment, where a liver biopsy is stained and scored by experienced pathologists. Due to the intrinsic limited sensitivity and operator-dependent variations, there exist high inter- and intraobserver discrepancies. We validate our quantification system, Fibro-C-Index, with a comprehensive animal study and demonstrate its potential application in clinical diagnosis to reduce inter- and intraobserver discrepancies.