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Grading fatty liver by ultrasound time-domain radiofrequency signal analysis: an in vivo study of rats
This study aimed to assess the severity of fatty liver (FL) by analyzing ultrasound radiofrequency (RF) signals in rats. One hundred and twenty rats (72 in the FL group and 48 in the control group) were used for this purpose. Histological results were the golden standard: 42 cases had normal livers...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Japanese Association for Laboratory Animal Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955756/ https://www.ncbi.nlm.nih.gov/pubmed/29332859 http://dx.doi.org/10.1538/expanim.17-0124 |
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author | Ling, Wenwu Quan, Jierong Lin, Jiangli Qiu, Tingting Li, Jiawu Lu, Qiang Lu, Changli Luo, Yan |
author_facet | Ling, Wenwu Quan, Jierong Lin, Jiangli Qiu, Tingting Li, Jiawu Lu, Qiang Lu, Changli Luo, Yan |
author_sort | Ling, Wenwu |
collection | PubMed |
description | This study aimed to assess the severity of fatty liver (FL) by analyzing ultrasound radiofrequency (RF) signals in rats. One hundred and twenty rats (72 in the FL group and 48 in the control group) were used for this purpose. Histological results were the golden standard: 42 cases had normal livers (N), 30 cases had mild FL (L1), 25 cases had moderate FL (L2), 13 cases presented with severe FL (L3), and 10 cases were excluded from the study. Four RF parameters (Mean, Mean/SD ratio [MSR], skewness [SK], and kurtosis [KU] were extracted. Univariate analysis, spearman correlation analysis, and stepwise regression analysis were used to select the most powerful predictors. Receiver operating characteristic (ROC) analysis was used to compare the diagnostic efficacy of single indexes with a combined index (Y) expressed by a regression equation. Mean, MSR, SK, and KU were significantly correlated with FL grades (r=0.71, P<0.001; r=0.81, P<0.001; r=−0.79, P<0.001; and r=−0.74, P<0.001). The regression equation was Y=−4.48 + 3.20 × 10(−2)X1 + 3.15X2 (P<0.001), where Y=hepatic steatosis grade, X1 =Mean, and X2 =MSR. ROC analysis showed that the curve areas of the combined index (Y) were superior to simple indexes (Mean, MSR, SK, and KU) in evaluating hepatic steatosis grade, and they were 0.95 (L≥L1), 0.98 (L≥L2), and 0.99 (L≥L3). Ultrasound radiofrequency signal quantitative technology was a new, noninvasive, and promising sonography-based approach for the assessment of FL. |
format | Online Article Text |
id | pubmed-5955756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Japanese Association for Laboratory Animal Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59557562018-05-21 Grading fatty liver by ultrasound time-domain radiofrequency signal analysis: an in vivo study of rats Ling, Wenwu Quan, Jierong Lin, Jiangli Qiu, Tingting Li, Jiawu Lu, Qiang Lu, Changli Luo, Yan Exp Anim Original This study aimed to assess the severity of fatty liver (FL) by analyzing ultrasound radiofrequency (RF) signals in rats. One hundred and twenty rats (72 in the FL group and 48 in the control group) were used for this purpose. Histological results were the golden standard: 42 cases had normal livers (N), 30 cases had mild FL (L1), 25 cases had moderate FL (L2), 13 cases presented with severe FL (L3), and 10 cases were excluded from the study. Four RF parameters (Mean, Mean/SD ratio [MSR], skewness [SK], and kurtosis [KU] were extracted. Univariate analysis, spearman correlation analysis, and stepwise regression analysis were used to select the most powerful predictors. Receiver operating characteristic (ROC) analysis was used to compare the diagnostic efficacy of single indexes with a combined index (Y) expressed by a regression equation. Mean, MSR, SK, and KU were significantly correlated with FL grades (r=0.71, P<0.001; r=0.81, P<0.001; r=−0.79, P<0.001; and r=−0.74, P<0.001). The regression equation was Y=−4.48 + 3.20 × 10(−2)X1 + 3.15X2 (P<0.001), where Y=hepatic steatosis grade, X1 =Mean, and X2 =MSR. ROC analysis showed that the curve areas of the combined index (Y) were superior to simple indexes (Mean, MSR, SK, and KU) in evaluating hepatic steatosis grade, and they were 0.95 (L≥L1), 0.98 (L≥L2), and 0.99 (L≥L3). Ultrasound radiofrequency signal quantitative technology was a new, noninvasive, and promising sonography-based approach for the assessment of FL. Japanese Association for Laboratory Animal Science 2018-01-12 2018 /pmc/articles/PMC5955756/ /pubmed/29332859 http://dx.doi.org/10.1538/expanim.17-0124 Text en ©2018 Japanese Association for Laboratory Animal Science This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Ling, Wenwu Quan, Jierong Lin, Jiangli Qiu, Tingting Li, Jiawu Lu, Qiang Lu, Changli Luo, Yan Grading fatty liver by ultrasound time-domain radiofrequency signal analysis: an in vivo study of rats |
title | Grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
title_full | Grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
title_fullStr | Grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
title_full_unstemmed | Grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
title_short | Grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
title_sort | grading fatty liver by ultrasound time-domain radiofrequency signal analysis:
an in vivo study of rats |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955756/ https://www.ncbi.nlm.nih.gov/pubmed/29332859 http://dx.doi.org/10.1538/expanim.17-0124 |
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