Liver steatosis assessment: Correlations among pathology, radiology, clinical data and automated image analysis software
Liver steatosis assessment: Correlations among pathology, radiology, clinical data and automated image analysis software
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DOI：
10.1016/j.prp.2013.04.001
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发表时间：
2013-01-01
影响因子：
2.8
通讯作者：
Farris, Alton B.
中科院分区：
文献类型：
--
作者：
Lee, Michael J.;Bagci, Pelin;Farris, Alton B.
定量肝脏脂肪变性在许多肝脏疾病和肝移植中是重要的。由于病理学家对脂肪变性的估计具有内在的观察者内和观察者间的变异性，我们将计算机化技术与磁共振成像测量、病理学家视觉评分和临床参数进行了比较和对比。应用于整个载玻片图像的计算机化方法包括商业阳性像素计数算法和在我们机构编程的自定义算法。对于所有肝脏样本（n =59），包括儿科、成人、冷冻切片和永久标本，病理学、放射学和每种图像分析模式之间观察到统计学显著相关性（r= 0.75-0.97，p
Quantitating hepatic steatosis is important in many liver diseases and liver transplantation. Since steatosis estimation by pathologists has inherent intra- and inter-observer variability, we compared and contrasted computerized techniques with magnetic resonance imaging measurements, pathologist visual scoring, and clinical parameters. Computerized methods applied to whole slide images included a commercial positive pixel count algorithm and a custom algorithm programmed at our institution. For all liver samples (n =59), including pediatric, adult, frozen section, and permanent specimens, statistically significant correlations were observed between pathology, radiology, and each image analysis modality (r= 0.75-0.97, p