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

被引:79
作者
Tai, Dean C. S. [1 ]
Tan, Nancy [2 ,3 ]
Xu, Shuoyu [1 ,5 ]
Kang, Chiang Huen [1 ]
Chia, Ser Mien [5 ]
Cheng, Chee Leong [6 ]
Wee, Aileen [6 ]
Wei, Chiang Li [4 ]
Raja, Anju Mythreyi [1 ,7 ]
Xiao, Guangfa [2 ,8 ]
Chang, Shi [8 ]
Rajapakse, Jagath C. [5 ,9 ,10 ]
机构
[1] Inst Bioengn & Nanotechnol, Singapore 138669, Singapore
[2] Natl Univ Singapore, Dept Physiol, Singapore 117597, Singapore
[3] KK Womens & Childerns Hosp, Dept Paediat, Singapore 229899, Singapore
[4] KK Womens & Childerns Hosp, Dept Paediat Surg, Singapore 229899, Singapore
[5] Natl Univ Singapore, Computat & Syst Biol Program, Singapore MIT Alliance, Singapore 117576, Singapore
[6] Natl Univ Singapore Hosp, Dept Pathol, Singapore 119074, Singapore
[7] Natl Univ Singapore, Grad Sch Integrat Sci & Engn, Grad Programme Bioengn, Singapore 117597, Singapore
[8] Cent S Univ, Xiangya Hosp, Dept Gen Surg, Changsha 410008, Hunan, Peoples R China
[9] Nanyang Technol Univ, Sch Comp Engn, Bioinformat Res Ctr, Singapore 639798, Singapore
[10] MIT, Div Biol Engn, Cambridge, MA 02139 USA
基金
英国医学研究理事会;
关键词
liver fibrosis; second harmonic generation; bioimaging; diagnosis; two photon; medical optics; CHRONIC HEPATITIS-C; IMAGE-ANALYSIS METHOD; VIRUS-INFECTION; OBSERVER VARIATION; COLLAGEN; INTEROBSERVER; BIOPSIES; FLUORESCENCE; ORIENTATION; CIRRHOSIS;
D O I
10.1117/1.3183811
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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. (C) 2009 Society of Photo-Optical Instrumentation Engineers. [DOI: 10.1117/1.3183811]
引用
收藏
页数:10
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