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Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification

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...

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Autores principales: Cheng, Lei, Chen, Yongan, Xiao, Rui, Pan, Yan, Guo, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708933/
https://www.ncbi.nlm.nih.gov/pubmed/31374014
http://dx.doi.org/10.1097/MD.0000000000016533
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author Cheng, Lei
Chen, Yongan
Xiao, Rui
Pan, Yan
Guo, Jia
author_facet Cheng, Lei
Chen, Yongan
Xiao, Rui
Pan, Yan
Guo, Jia
author_sort Cheng, Lei
collection PubMed
description 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(2) values on modes, averages, and standard deviations. Correlation analysis, principal component analysis (PCA), and multivariate analysis of variance (MANOVA) of the mean cm(2) 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(2) 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(2) 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 cm(2)average 1 for the F0 versus F1 to F4 group, with a low criterion (110), while the maximal criterion (145) was for cm(2) 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.
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spelling pubmed-67089332019-10-01 Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification Cheng, Lei Chen, Yongan Xiao, Rui Pan, Yan Guo, Jia Medicine (Baltimore) Research Article 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(2) values on modes, averages, and standard deviations. Correlation analysis, principal component analysis (PCA), and multivariate analysis of variance (MANOVA) of the mean cm(2) 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(2) 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(2) 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 cm(2)average 1 for the F0 versus F1 to F4 group, with a low criterion (110), while the maximal criterion (145) was for cm(2) 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. Wolters Kluwer Health 2019-08-02 /pmc/articles/PMC6708933/ /pubmed/31374014 http://dx.doi.org/10.1097/MD.0000000000016533 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Cheng, Lei
Chen, Yongan
Xiao, Rui
Pan, Yan
Guo, Jia
Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title_full Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title_fullStr Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title_full_unstemmed Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title_short Evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
title_sort evaluation of hepatic fibrosis by ultrasonic acoustic structure quantification
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6708933/
https://www.ncbi.nlm.nih.gov/pubmed/31374014
http://dx.doi.org/10.1097/MD.0000000000016533
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