التفاصيل البيبلوغرافية
العنوان: |
An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials |
المؤلفون: |
Wei-Qiang Leow, Pierre Bedossa, Feng Liu, Lai Wei, Kiat-Hon Lim, Wei-Keat Wan, Yayun Ren, Jason Pik-Eu Chang, Chee-Kiat Tan, Aileen Wee, George Boon-Bee Goh |
المصدر: |
Diagnostics, Vol 10, Iss 9, p 643 (2020) |
بيانات النشر: |
MDPI AG, 2020. |
سنة النشر: |
2020 |
المجموعة: |
LCC:Medicine (General) |
مصطلحات موضوعية: |
NAFLD, NASH fibrosis, qFibrosis, Medicine (General), R5-920 |
الوصف: |
Background: Many clinical trials with potential drug treatment options for non-alcoholic fatty liver disease (NAFLD) are focused on patients with non-alcoholic steatohepatitis (NASH) stages 2 and 3 fibrosis. As the histological features differentiating stage 1 (F1) from stage 2 (F2) NASH fibrosis are subtle, some patients may be wrongly staged by the in-house pathologist and miss the opportunity for enrollment into clinical trials. We hypothesized that our refined artificial intelligence (AI)-based algorithm (qFibrosis) can identify these subtle differences and serve as an assistive tool for in-house pathologists. Methods: Liver tissue from 160 adult patients with biopsy-proven NASH from Singapore General Hospital (SGH) and Peking University People’s Hospital (PKUH) were used. A consensus read by two expert hepatopathologists was organized. The refined qFibrosis algorithm incorporated the creation of a periportal region that allowed for the increased detection of periportal fibrosis. Consequently, an additional 28 periportal parameters were added, and 28 pre-existing perisinusoidal parameters had altered definitions. Results: Twenty-eight parameters (20 periportal and 8 perisinusoidal) were significantly different between the F1 and F2 cases that prompted a change of stage after a careful consensus read. The discriminatory ability of these parameters was further demonstrated in a comparison between the true F1 and true F2 cases as 26 out of the 28 parameters showed significant differences. These 26 parameters constitute a novel sub-algorithm that could accurately stratify F1 and F2 cases. Conclusion: The refined qFibrosis algorithm incorporated 26 novel parameters that showed a good discriminatory ability for NASH fibrosis stage 1 and 2 cases, representing an invaluable assistive tool for in-house pathologists when screening patients for NASH clinical trials. |
نوع الوثيقة: |
article |
وصف الملف: |
electronic resource |
اللغة: |
English |
تدمد: |
2075-4418 |
Relation: |
https://www.mdpi.com/2075-4418/10/9/643; https://doaj.org/toc/2075-4418 |
DOI: |
10.3390/diagnostics10090643 |
URL الوصول: |
https://doaj.org/article/ad1a9f61e01841329960391bf728a74e |
رقم الانضمام: |
edsdoj.1a9f61e01841329960391bf728a74e |
قاعدة البيانات: |
Directory of Open Access Journals |