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首页> 外文期刊>Hepatology: Official Journal of the American Association for the Study of Liver Diseases >Optical analysis of computed tomography images of the liver predicts fibrosis stage and distribution in chronic hepatitis C
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Optical analysis of computed tomography images of the liver predicts fibrosis stage and distribution in chronic hepatitis C

机译：肝脏计算机断层扫描图像的光学分析可预测慢性丙型肝炎的纤维化阶段和分布

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摘要

This study was undertaken to evaluate an image processing method for assessing liver fibrosis in conventional computed tomography (CT) scans in patients with chronic hepatitis C. Two cohorts (designated "estimation," n = 34; and "validation," n = 107) of chronic hepatitis C patients were assessed using digitized conventional helical CT. Weighted CT mean fibrosis (Fibro-CT) was calculated as a nonlinear weighted mean F-score for each sample. Fibrosis was defined according to Scheuer on the F0 to F4 scale by 2 pathologists blinded regarding the Fibro-CT data. Fibrosis according to Fibro-CT correlated with histology-determined fibrosis (r = 0.69; P < 0.001) and with increasing F-stage: FO = 0.23 +/- 0.39; F1 = 0.90 +/- 0.99; F2 = 1.41 +/- 0.94; F3 = 2.79 +/- 0.55; F4 = 3.15 +/- 0.35 [analysis of variance: P < 0.0001). The receiver operating characteristics curve to diagnose significant fibrosis (>= F2) was 0.83; 95% confidence interval (95%CI), 0.75 to 0.91; and, to diagnose advanced fibrosis (>= F3), was 0.86, 95%CI: 0.80 to 0.93. The correlation between Fibro-CT and fibrosis was higher in patients with homogeneous distribution of fibrosis than in patients with heterogeneous distribution (r = 0.77 versus r = 0.43; P < 0.05). Conclusion: Optical digital analysis of CT images of the liver is effective in determining the stage and distribution of liver fibrosis in chronic hepatitis C. In patients with homogeneous fibrosis distribution, the correlation between Fibro-CT and histology was better than in patients with heterogeneous distribution. Fibro-CT is a simple to use, readily available, and useful method for the diagnosis of fibrosis in patients with chronic hepatitis C.
机译：进行了这项研究，以评估用于评估慢性丙型肝炎患者的常规计算机断层扫描（CT）扫描中肝纤维化的图像处理方法。两个队列（“估计” n = 34;“验证” n = 107）使用数字化常规螺旋CT评估了慢性C型肝炎患者。计算每个样品的加权CT平均纤维化（Fibro-CT）为非线性加权平均F分数。纤维化是根据Scheuer在F0到F4等级上定义的，其中两位病理学家对Fibro-CT数据视而不见。根据Fibro-CT进行的纤维化与组织学确定的纤维化相关（r = 0.69; P <0.001）和F期增加：FO = 0.23 +/- 0.39; F1 = 0.90 +/- 0.99; F2 = 1.41 +/- 0.94; F3 = 2.79 +/- 0.55; F4 = 3.15 +/- 0.35 [方差分析：P <0.0001）。诊断显着纤维化（> = F2）的接受者工作特征曲线为0.83; 95％置信区间（95％CI），0.75至0.91;诊断晚期纤维化（> = F3）为0.86，95％CI：0.80至0.93。纤维化均匀分布的患者中，纤维CT与纤维化的相关性高于异质性分布患者（r = 0.77 vs r = 0.43; P <0.05）。结论：肝脏CT图像的光学数字分析可有效确定慢性丙型肝炎肝纤维化的分期和分布。在均质纤维化分布的患者中，Fibro-CT与组织学的相关性优于异质性分布的患者。 Fibro-CT是一种易于使用，易于获得且有用的诊断慢性丙型肝炎患者纤维化的方法。

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