Medical Convergence Research Center, Wonkwang University, Iksan, 54538, Republic of Korea.
Sci Rep. 2019 Jul 10;9(1):9994. doi: 10.1038/s41598-019-46442-y.
The liver morphological changes in relation to fibrosis stage in nonalcoholic fatty liver disease (NAFLD) have not yet been clearly understood. This study was to develop a liver surface nodularity (LSN) quantification program and to compare the fibrosis grades in simple steatosis (SS) and nonalcoholic steatohepatitis (NASH). Thirty subjects (7 normal controls [NC], 12 SS and 11 NASH) were studied. LSN quantification procedure was bias correction, boundary detection, segmentation and LSN measurement. LSN scores among three groups and fibrosis grades compared using Kruskal-Wallis H test. Diagnostic accuracy was determined by calculating the area under the receiver operating characteristics (ROC) curve. Mean LSN scores were NC 1.30 ± 0.09, SS 1.54 ± 0.21 and NASH 1.59 ± 0.23 (p = 0.008). Mean LSN scores according to fibrosis grade (F) were F0 1.30 ± 0.09, F1 1.45 ± 0.17 and F2&F3 1.67 ± 0.20 (p = 0.001). The mean LSN score in F2&F3 is significantly higher than that in F1 (p = 0.019). The AUROC curve to distinguish F1 and F2&F3 was 0.788 (95% CI 0.595-0.981, p = 0.019) at a cut-off LSN score greater than 1.48, and its diagnostic accuracy had 0.833 sensitivity and 0.727 specificity. This study developed LSN program and its clinical application demonstrated that the quantitative LSN scores can help to differentially diagnose fibrosis stage in NAFLD.
非酒精性脂肪性肝病 (NAFLD) 中肝形态学变化与纤维化分期尚未明确。本研究旨在开发一种肝表面结节度 (LSN) 量化程序,并比较单纯性脂肪变性 (SS) 和非酒精性脂肪性肝炎 (NASH) 的纤维化程度。研究纳入 30 例受试者(7 例正常对照 [NC]、12 例 SS 和 11 例 NASH)。LSN 量化程序包括偏倚校正、边界检测、分割和 LSN 测量。采用 Kruskal-Wallis H 检验比较三组间 LSN 评分和纤维化分级。通过计算受试者工作特征曲线 (ROC) 下面积确定诊断准确性。三组的平均 LSN 评分分别为 NC 组 1.30±0.09、SS 组 1.54±0.21 和 NASH 组 1.59±0.23(p=0.008)。根据纤维化分级(F)的平均 LSN 评分分别为 F0 组 1.30±0.09、F1 组 1.45±0.17 和 F2&F3 组 1.67±0.20(p=0.001)。F2&F3 组的平均 LSN 评分明显高于 F1 组(p=0.019)。区分 F1 和 F2&F3 的 LSN 评分截断值为 1.48,ROC 曲线下面积为 0.788(95%CI 0.595-0.981,p=0.019),其诊断准确性为 0.833 的敏感性和 0.727 的特异性。本研究开发了 LSN 程序,临床应用表明,定量 LSN 评分有助于诊断 NAFLD 的纤维化分期。