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Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions

To evaluate the diagnostic performance of quantitative analysis as an adjunctive diagnostic tool to contrast-enhanced ultrasound (US) for the differentiation of atypical benign focal liver lesions (FLLs) from malignancies in fatty liver. Twenty-seven benign FLLs and fifty-six malignant FLLs that app...

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Autores principales: Shan, Quan-Yuan, Chen, Li-Da, Zhou, Lu-Yao, Wang, Zhu, Liu, Guang-Jian, Huang, Yang, Li, Wei, Liu, Jin-ya, Xie, Xiao-yan, Lu, Ming-de, Liu, Jie, Wang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698663/
https://www.ncbi.nlm.nih.gov/pubmed/26725923
http://dx.doi.org/10.1038/srep18640
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author Shan, Quan-Yuan
Chen, Li-Da
Zhou, Lu-Yao
Wang, Zhu
Liu, Guang-Jian
Huang, Yang
Li, Wei
Liu, Jin-ya
Xie, Xiao-yan
Lu, Ming-de
Liu, Jie
Wang, Wei
author_facet Shan, Quan-Yuan
Chen, Li-Da
Zhou, Lu-Yao
Wang, Zhu
Liu, Guang-Jian
Huang, Yang
Li, Wei
Liu, Jin-ya
Xie, Xiao-yan
Lu, Ming-de
Liu, Jie
Wang, Wei
author_sort Shan, Quan-Yuan
collection PubMed
description To evaluate the diagnostic performance of quantitative analysis as an adjunctive diagnostic tool to contrast-enhanced ultrasound (US) for the differentiation of atypical benign focal liver lesions (FLLs) from malignancies in fatty liver. Twenty-seven benign FLLs and fifty-six malignant FLLs that appeared hyper-enhanced during the arterial phase with washout in the portal or late phase in fatty liver were analyzed. Chi-square tests and logistic regression were applied to identify the specific features. Three sets of criteria were assigned: 1) all FLLs subjected to routine contrast-enhanced US; 2) all FLLs subjected to quantification analysis and contrast-enhanced US; and 3) parts of FLLs that could not be diagnosed using contrast-enhanced US (n = 66, 75.9%) but instead were diagnosed using parametric features. The sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC) of the three sets of criteria were analyzed. The AUCs of the criterion set 2 were significantly higher than those of criterion set 1 (0.904 versus 0.792, P = 0.008). Criterion set 3 showed a relatively high sensitivity (90.2%) with a relatively high AUC (0.845). The quantification analysis offers improved diagnostic performance for the differential identification of atypical benign FLLs from malignancies in fatty liver.
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spelling pubmed-46986632016-01-13 Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions Shan, Quan-Yuan Chen, Li-Da Zhou, Lu-Yao Wang, Zhu Liu, Guang-Jian Huang, Yang Li, Wei Liu, Jin-ya Xie, Xiao-yan Lu, Ming-de Liu, Jie Wang, Wei Sci Rep Article To evaluate the diagnostic performance of quantitative analysis as an adjunctive diagnostic tool to contrast-enhanced ultrasound (US) for the differentiation of atypical benign focal liver lesions (FLLs) from malignancies in fatty liver. Twenty-seven benign FLLs and fifty-six malignant FLLs that appeared hyper-enhanced during the arterial phase with washout in the portal or late phase in fatty liver were analyzed. Chi-square tests and logistic regression were applied to identify the specific features. Three sets of criteria were assigned: 1) all FLLs subjected to routine contrast-enhanced US; 2) all FLLs subjected to quantification analysis and contrast-enhanced US; and 3) parts of FLLs that could not be diagnosed using contrast-enhanced US (n = 66, 75.9%) but instead were diagnosed using parametric features. The sensitivity, specificity, accuracy and area under the receiver operating characteristic curve (AUC) of the three sets of criteria were analyzed. The AUCs of the criterion set 2 were significantly higher than those of criterion set 1 (0.904 versus 0.792, P = 0.008). Criterion set 3 showed a relatively high sensitivity (90.2%) with a relatively high AUC (0.845). The quantification analysis offers improved diagnostic performance for the differential identification of atypical benign FLLs from malignancies in fatty liver. Nature Publishing Group 2016-01-04 /pmc/articles/PMC4698663/ /pubmed/26725923 http://dx.doi.org/10.1038/srep18640 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Shan, Quan-Yuan
Chen, Li-Da
Zhou, Lu-Yao
Wang, Zhu
Liu, Guang-Jian
Huang, Yang
Li, Wei
Liu, Jin-ya
Xie, Xiao-yan
Lu, Ming-de
Liu, Jie
Wang, Wei
Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title_full Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title_fullStr Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title_full_unstemmed Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title_short Focal Lesions in Fatty Liver: If Quantitative Analysis Facilitates the Differentiation of Atypical Benign from Malignant Lesions
title_sort focal lesions in fatty liver: if quantitative analysis facilitates the differentiation of atypical benign from malignant lesions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4698663/
https://www.ncbi.nlm.nih.gov/pubmed/26725923
http://dx.doi.org/10.1038/srep18640
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