کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6103095 1211123 2014 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research ArticleImage analysis of liver biopsy samples measures fibrosis and predicts clinical outcome
ترجمه فارسی عنوان
تحقیق در این مقاله، تحلیل نمونه های بیوپسی کبد، فیبروز را اندازه گیری و پیش بینی های بالینی را پیش بینی می کند
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی بیماری‌های گوارشی
چکیده انگلیسی

Background & AimsHistopathological scoring of liver fibrosis mainly measures architectural abnormalities and requires a minimum biopsy size (⩾10 mm). Liver collagen quantification may allow use of small size biopsies and improve the prediction of clinical outcomes. This study evaluated the ability of the collagen proportional area (CPA) measurement to predict clinical outcomes.MethodsClinical outcomes were determined using population based data-linkage for chronic hepatitis C (CHC) patients from 1992 to 2012. Quantitative digital image analysis of liver biopsies was used for CPA measurement.Results533 patients with a biopsy size ⩾5 mm were included. Median follow up was 10.5 years. 26 developed hepatocellular carcinoma (HCC), 39 developed liver decompensation and 33 had liver related death. 453 had Metavir F0-F2 and 80 had F3-F4. CPA ranged from 1.3% to 44.6%. CPA and Metavir stage were independently associated with liver related death. Metavir stage, CPA stage and age were independently associated with HCC. CPA stage (C1: 0%-5%, C2: 5%-10%, C3: 10%-20%, C4: >20%) stratified risk and a significant difference in outcomes was present between all CPA stages for HCC and between C2-C3 and C3-C4 for decompensation and liver related death. The 15 year composite endpoint-free survival was 97% for C1, 89% for C2, 60% for C3, 7% for C4. C4 had significantly worse survival than ⩽C3 (p <0.001) in cirrhotic patients.ConclusionsCPA stage gave additional information regarding risk stratification for adverse clinical outcomes independent of Metavir stage.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hepatology - Volume 61, Issue 1, July 2014, Pages 22-27
نویسندگان
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