qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients
Background & Aims: There is increasing need for accurate assessment of liver fibrosis/cirrhosis. We aimed to develop qFibrosis, a fully-automated assessment method combining quantification of histopathological architectural features, to address unmet needs in core biopsy evaluation of fibrosis i...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/82162 http://hdl.handle.net/10220/41152 |
| _version_ | 1811697178432765952 |
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| author | Xu, Shuoyu Wang, Yan Tai, Dean C.S. Wang, Shi Cheng, Chee Leong Peng, Qiwen Yan, Jie Chen, Yongpeng Sun, Jian Liang, Xieer Zhu, Youfu Rajapakse, Jagath Chandana Welsch, Roy E. So, Peter T.C. Wee, Aileen Hou, Jinlin Yu, Hanry |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Xu, Shuoyu Wang, Yan Tai, Dean C.S. Wang, Shi Cheng, Chee Leong Peng, Qiwen Yan, Jie Chen, Yongpeng Sun, Jian Liang, Xieer Zhu, Youfu Rajapakse, Jagath Chandana Welsch, Roy E. So, Peter T.C. Wee, Aileen Hou, Jinlin Yu, Hanry |
| author_sort | Xu, Shuoyu |
| collection | NTU |
| description | Background & Aims: There is increasing need for accurate assessment of liver fibrosis/cirrhosis. We aimed to develop qFibrosis, a fully-automated assessment method combining quantification of histopathological architectural features, to address unmet needs in core biopsy evaluation of fibrosis in chronic hepatitis B (CHB) patients.Methods: qFibrosis was established as a combined index based on 87 parameters of architectural features. Images acquired from 25 Thioacetamide-treated rat samples and 162 CHB core biopsies were used to train and test qFibrosis and to demonstrate its reproducibility. qFibrosis scoring was analyzed employing Metavir and Ishak fibrosis staging as standard references, and collagen proportionate area (CPA) measurement for comparison. Results: qFibrosis faithfully and reliably recapitulates Metavir fibrosis scores, as it can identify differences between all stages in both animal samples (p <0.001) and human biopsies (p <0.05). It is robust to sampling size, allowing for discrimination of different stages in samples of different sizes (area under the curve (AUC): 0.93–0.99 for animal samples: 1–16 mm2; AUC: 0.84–0.97 for biopsies: 10–44 mm in length). qFibrosis can significantly predict staging underestimation in suboptimal biopsies (<15 mm) and under- and over-scoring by different pathologists (p <0.001). qFibrosis can also differentiate between Ishak stages 5 and 6 (AUC: 0.73, p = 0.008), suggesting the possibility of monitoring intra-stage cirrhosis changes. Best of all, qFibrosis demonstrates superior performance to CPA on all counts. Conclusions: qFibrosis can improve fibrosis scoring accuracy and throughput, thus allowing for reproducible and reliable analysis of efficacies of anti-fibrotic therapies in clinical research and practice. |
| first_indexed | 2024-10-01T07:51:08Z |
| format | Journal Article |
| id | ntu-10356/82162 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:51:08Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/821622022-02-16T16:30:18Z qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients Xu, Shuoyu Wang, Yan Tai, Dean C.S. Wang, Shi Cheng, Chee Leong Peng, Qiwen Yan, Jie Chen, Yongpeng Sun, Jian Liang, Xieer Zhu, Youfu Rajapakse, Jagath Chandana Welsch, Roy E. So, Peter T.C. Wee, Aileen Hou, Jinlin Yu, Hanry School of Computer Engineering qFibrosis Liver fibrosis assessment Background & Aims: There is increasing need for accurate assessment of liver fibrosis/cirrhosis. We aimed to develop qFibrosis, a fully-automated assessment method combining quantification of histopathological architectural features, to address unmet needs in core biopsy evaluation of fibrosis in chronic hepatitis B (CHB) patients.Methods: qFibrosis was established as a combined index based on 87 parameters of architectural features. Images acquired from 25 Thioacetamide-treated rat samples and 162 CHB core biopsies were used to train and test qFibrosis and to demonstrate its reproducibility. qFibrosis scoring was analyzed employing Metavir and Ishak fibrosis staging as standard references, and collagen proportionate area (CPA) measurement for comparison. Results: qFibrosis faithfully and reliably recapitulates Metavir fibrosis scores, as it can identify differences between all stages in both animal samples (p <0.001) and human biopsies (p <0.05). It is robust to sampling size, allowing for discrimination of different stages in samples of different sizes (area under the curve (AUC): 0.93–0.99 for animal samples: 1–16 mm2; AUC: 0.84–0.97 for biopsies: 10–44 mm in length). qFibrosis can significantly predict staging underestimation in suboptimal biopsies (<15 mm) and under- and over-scoring by different pathologists (p <0.001). qFibrosis can also differentiate between Ishak stages 5 and 6 (AUC: 0.73, p = 0.008), suggesting the possibility of monitoring intra-stage cirrhosis changes. Best of all, qFibrosis demonstrates superior performance to CPA on all counts. Conclusions: qFibrosis can improve fibrosis scoring accuracy and throughput, thus allowing for reproducible and reliable analysis of efficacies of anti-fibrotic therapies in clinical research and practice. ASTAR (Agency for Sci., Tech. and Research, S’pore) Published version 2016-08-17T09:02:14Z 2019-12-06T14:47:47Z 2016-08-17T09:02:14Z 2019-12-06T14:47:47Z 2014 Journal Article Xu, S., Wang, Y., Tai, D. C. S., Wang, S., Cheng, C. L., Peng, Q., et al. (2014). qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients. Journal of Hepatology, 61(2), 260-269. 0168-8278 https://hdl.handle.net/10356/82162 http://hdl.handle.net/10220/41152 10.1016/j.jhep.2014.02.015 24583249 en Journal of Hepatology © 2014 European Association for the Study of the Liver. Published by Elsevier B.V. Open access under CC BY-NC-ND license. 10 p. application/pdf |
| spellingShingle | qFibrosis Liver fibrosis assessment Xu, Shuoyu Wang, Yan Tai, Dean C.S. Wang, Shi Cheng, Chee Leong Peng, Qiwen Yan, Jie Chen, Yongpeng Sun, Jian Liang, Xieer Zhu, Youfu Rajapakse, Jagath Chandana Welsch, Roy E. So, Peter T.C. Wee, Aileen Hou, Jinlin Yu, Hanry qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title | qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title_full | qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title_fullStr | qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title_full_unstemmed | qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title_short | qFibrosis: A fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients |
| title_sort | qfibrosis a fully quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis b patients |
| topic | qFibrosis Liver fibrosis assessment |
| url | https://hdl.handle.net/10356/82162 http://hdl.handle.net/10220/41152 |
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