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DOI 10.1097/md.0000000000016533

Медицинская библиотека · Medicine · 2019

Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification.

Cheng Lei, Chen Yongan, Xiao Rui, Pan Yan, Guo Jia

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Аннотация

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 cm values on modes, averages, and standard deviations. Correlation analysis, principal component analysis (PCA), and multivariate analysis of variance (MANOVA) of the mean cm values with hepatic fibrosis staging were performed. A receiver operating characteristic (ROC) curve was used to assess the diagnostic accuracy of ASQ.The mean cm 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 cm 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 cmaverage 1 for the F0 versus F1 to F4 group, with a low criterion (110), while the maximal criterion (145) was for cm 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.

Для цитирования: Cheng Lei, Chen Yongan, Xiao Rui, Pan Yan, Guo Jia. Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification.. Medicine. 2019. DOI: 10.1097/md.0000000000016533.

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