Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model
ObjectiveTo investigate the value of conventional ultrasonography (US) and contrast-enhanced ultrasound (CEUS) in the differential diagnosis of intrahepatic cholangiocellular carcinoma (ICC) and hepatocellular carcinoma (HCC) by establishing a logistic regression model with the variables of US featu...
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Editorial Department of Journal of Clinical Hepatology
2019-11-01
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doaj-798490ee071e4f6291212c3e38569be72020-11-25T01:56:46ZzhoEditorial Department of Journal of Clinical HepatologyLinchuang Gandanbing Zazhi1001-52561001-52562019-11-01351125022507Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression modelYE Xianjun0Department of Ultrasound, The First Affiliated Hospital of University of Science and Technology of China & Anhui Provincial HospitalObjectiveTo investigate the value of conventional ultrasonography (US) and contrast-enhanced ultrasound (CEUS) in the differential diagnosis of intrahepatic cholangiocellular carcinoma (ICC) and hepatocellular carcinoma (HCC) by establishing a logistic regression model with the variables of US features and CEUS enhancement pattern (circumferential ring enhancement). MethodsA retrospective analysis was performed for the US and CEUS features of 55 ICC patients and 42 HCC patients, and the results of surgical pathology or biopsy were used as the golden standard for diagnosis. A logistic regression analysis was used to evaluate the value of four US features, lesion echo, blood supply type, bile duct dilatation, and circumferential ring enhancement of CEUS, in the differential diagnosis of ICC and HCC. The t-test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was performed for the factors with statistical significance in univariate analysis. Likelihood ratio was used to evaluate the fitting of the whole model, and the feature with the highest likelihood ratio in the qualitative diagnosis of ICC was screened out. The receiver operating characteristic (ROC) curve was plotted for the logistic regression model in the qualitative diagnosis of ICC, and the area under the ROC curve (AUC) was calculated. ResultsThere were significant differences between the two groups in lesion echo (χ2=4.813, P<0.05), blood supply type (χ2=10.222, P<0.01), bile duct dilatation (χ2=40.669, P<001), and circumferential ring enhancement of CEUS (χ2=8.180, P<0.01), and these four features had a sensitivity of 58.15%, 7273%, 67.27%, and 6909%, respectively, and a specificity of 64.29%, 59.52%, 66.4%, and 95.24%, respectively, all P<005, in the differential diagnosis of ICC and HCC. Type of lesion echo, blood supply, circumferential ring enhancement of CEUS, and presence or absence of bile duct dilatation had an odds ratio of 3.556, 4.107, 4.223, and 5.776, respectively. The binary logistic regression equation was Logistic (P)=-2.761+1.272X1+1.430X2+1.538X3+1.743X4. The likelihood-ratio test of this model showed a significant difference in this regression equation (χ2=94.691, P<0.001). In the qualitative diagnosis of ICC, this regression equation had a sensitivity of 743%, a specificity of 822%, and an AUC of 0.856. There was a significant difference in time to peak between the two groups (t=8497, P<001). ConclusionThe logistic regression model and CEUS qualitative analysis can improve the qualitative diagnosis of ICC.http://www.lcgdbzz.org/qk_content.asp?id=10322 |
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YE Xianjun Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model Linchuang Gandanbing Zazhi |
author_facet |
YE Xianjun |
author_sort |
YE Xianjun |
title |
Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model |
title_short |
Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model |
title_full |
Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model |
title_fullStr |
Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model |
title_full_unstemmed |
Value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: An analysis based on the logistic regression model |
title_sort |
value of conventional ultrasonography and contrast-enhanced ultrasound in the differential diagnosis of intrahepatic cholangiocellular carcinoma and hepatocellular carcinoma: an analysis based on the logistic regression model |
publisher |
Editorial Department of Journal of Clinical Hepatology |
series |
Linchuang Gandanbing Zazhi |
issn |
1001-5256 1001-5256 |
publishDate |
2019-11-01 |
description |
ObjectiveTo investigate the value of conventional ultrasonography (US) and contrast-enhanced ultrasound (CEUS) in the differential diagnosis of intrahepatic cholangiocellular carcinoma (ICC) and hepatocellular carcinoma (HCC) by establishing a logistic regression model with the variables of US features and CEUS enhancement pattern (circumferential ring enhancement). MethodsA retrospective analysis was performed for the US and CEUS features of 55 ICC patients and 42 HCC patients, and the results of surgical pathology or biopsy were used as the golden standard for diagnosis. A logistic regression analysis was used to evaluate the value of four US features, lesion echo, blood supply type, bile duct dilatation, and circumferential ring enhancement of CEUS, in the differential diagnosis of ICC and HCC. The t-test was used for comparison of continuous data between groups, and the chi-square test was used for comparison of categorical data between groups. A binary logistic regression analysis was performed for the factors with statistical significance in univariate analysis. Likelihood ratio was used to evaluate the fitting of the whole model, and the feature with the highest likelihood ratio in the qualitative diagnosis of ICC was screened out. The receiver operating characteristic (ROC) curve was plotted for the logistic regression model in the qualitative diagnosis of ICC, and the area under the ROC curve (AUC) was calculated. ResultsThere were significant differences between the two groups in lesion echo (χ2=4.813, P<0.05), blood supply type (χ2=10.222, P<0.01), bile duct dilatation (χ2=40.669, P<001), and circumferential ring enhancement of CEUS (χ2=8.180, P<0.01), and these four features had a sensitivity of 58.15%, 7273%, 67.27%, and 6909%, respectively, and a specificity of 64.29%, 59.52%, 66.4%, and 95.24%, respectively, all P<005, in the differential diagnosis of ICC and HCC. Type of lesion echo, blood supply, circumferential ring enhancement of CEUS, and presence or absence of bile duct dilatation had an odds ratio of 3.556, 4.107, 4.223, and 5.776, respectively. The binary logistic regression equation was Logistic (P)=-2.761+1.272X1+1.430X2+1.538X3+1.743X4. The likelihood-ratio test of this model showed a significant difference in this regression equation (χ2=94.691, P<0.001). In the qualitative diagnosis of ICC, this regression equation had a sensitivity of 743%, a specificity of 822%, and an AUC of 0.856. There was a significant difference in time to peak between the two groups (t=8497, P<001). ConclusionThe logistic regression model and CEUS qualitative analysis can improve the qualitative diagnosis of ICC. |
url |
http://www.lcgdbzz.org/qk_content.asp?id=10322 |
work_keys_str_mv |
AT yexianjun valueofconventionalultrasonographyandcontrastenhancedultrasoundinthedifferentialdiagnosisofintrahepaticcholangiocellularcarcinomaandhepatocellularcarcinomaananalysisbasedonthelogisticregressionmodel |
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