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Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification

机译:通过超声声学结构量化评估肝纤维化

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To evaluate the diagnostic accuracy of ultrasonic acoustic structure quantification (ASQ) for grading hepatic fibrosis /cirrhosis by comparing ultrasonographic features of regions of interest on ASQ images with the pathological characteristics of stage F0–F4 hepatic fibrosis cases. We retrospectively analyzed the medical records of 97 patients with chronic hepatitis who underwent ASQ evaluation at the Ultrasound Room of Dongfang Hepatobiliary Surgery Hospital (Shanghai, China) between July 2012 and October 2013. Regions of interest on stored ASQ images were analyzed to obtain cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup values on modes, averages, and standard deviations. Correlation analysis, principal component analysis (PCA), and multivariate analysis of variance (MANOVA) of the mean cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup values with hepatic fibrosis staging were performed. A receiver operating characteristic (ROC) curve was used to assess the diagnostic accuracy of ASQ. The mean cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup of ASQ correlated with the pathological stage of hepatic fibrosis , with the best correlation coefficient (r = 0.81) in the right lobe below rib 2. The best cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup average 1 and 2 values, which differed significantly among different hepatic fibrosis /cirrhosis stages, were also found in this area. The maximal area under the ROC curve (0.969) was for cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/supaverage 1 for the F0 versus F1 to F4 group, with a low criterion (110), while the maximal criterion (145) was for cmsup xmlns:mrws="http://webservices.ovid.com/mrws/1.0"2/sup average 2 for the F0–F3 versus F4 group, with a relatively small AUC (0.882). With objective and accurate results, ASQ analysis is a promising non-invasive method for grading hepatic fibrosis , although this should be verified in further studies.
机译:通过比较ASQ图像上感兴趣区域的超声特征与F0–F4期肝纤维化病例的病理特征,评估超声声学结构量化(ASQ)对肝纤维化/肝硬化分级的诊断准确性。我们回顾性分析了2012年7月至2013年10月在东方肝胆外科医院(中国上​​海)超声室接受ASQ评估的97例慢性肝炎患者的病历。对存储的ASQ图像上感兴趣的区域进行分析以获得cm < sup xmlns:mrws =“ http://webservices.ovid.com/mrws/1.0”> 2 关于模式,平均值和标准偏差的值。 cm 2 平均值的均值的相关分析,主成分分析(PCA)和方差多元分析(MANOVA)进行肝纤维化分期。接收器工作特性(ROC)曲线用于评估ASQ的诊断准确性。 ASQ的平均cm 2 与肝纤维化的病理分期相关,相关系数最佳(r = 0.81 )在肋骨2下方的右叶中。最佳cm 2 的平均值1和2的值之间存在显着差异在该区域还发现了肝纤维化/肝硬化阶段。 F0对F1至F4组的ROC曲线下的最大面积(0.969)为cm 2 平均值1 ,则标准较低(110),而最大标准(145)适用于cm 2 平均2 F0–F3与F4组相比,AUC相对较小(0.882)。具有客观准确的结果,ASQ分析是一种有前途的无创性肝纤维化分级方法,尽管有待进一步研究证实。

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