Differentiation of regenerative nodule, dysplastic nodule, and small hepatocellular carcinoma in cirrhotic patients: a contrast-enhanced ultrasound–based multivariable model analysis.
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| Title: | Differentiation of regenerative nodule, dysplastic nodule, and small hepatocellular carcinoma in cirrhotic patients: a contrast-enhanced ultrasound–based multivariable model analysis. |
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| Authors: | Duan, Yu1,2 (AUTHOR), Xie, Xiaoyan1 (AUTHOR), Li, Qian2 (AUTHOR), Mercaldo, Nathaniel3 (AUTHOR), Samir, Anthony E.2 (AUTHOR), Kuang, Ming1 (AUTHOR), Lin, Manxia1 (AUTHOR) linmxia@mail.sysu.edu.cn |
| Source: | European Radiology. Sep2020, Vol. 30 Issue 9, p4741-4751. 11p. 5 Diagrams, 4 Charts. |
| Subjects: | Hepatocellular carcinoma, Contrast-enhanced ultrasound, Logistic regression analysis, Regression analysis, Contrast media |
| Abstract: | Objective: To develop a contrast-enhanced ultrasound (CEUS)–based model for differentiating cirrhotic liver lesions and for active surveillance of hepatocellular carcinoma (HCC). Methods: Patients with focal liver lesions (FLLs) with biopsy/resection-proven pathology and pre-procedure CEUS were enrolled from our institution between January 2011 and November 2014. Univariable and multivariable regression models were constructed using qualitative CEUS features and/or contrast arrival time ratio (CATR). The optimism-adjusted Harrell's generalized concordance index (CH) was used to quantify the discriminatory ability of each CEUS feature and model. Results: A total of 149 patients (113 men and 36 women) with 162 FLLs were enrolled with mean age 53.4 ± 12.7 years. A 0.1-unit reduction in CATR was associated with a 68% increase in the odds of having a higher nodule ranking (RN < DN < small HCC) (OR, 0.32; 95% CI, 0.20–0.50, p <.001). Arterial phase hypoenhancement and isoenhancement were inversely associated with a higher nodule ranking compared to hyperenhancement. Late-phase isoenhancement was associated with lower odds of a higher nodule ranking. The CEUS + CATR model (CH 0.92, 0.89–0.95) provided greater discriminatory ability when compared to the CATR model (ΔCH 0.09, 0.04–0.13, p <.001) and the CEUS model (ΔCH 0.03, 0.01–0.05, p =.02). Conclusions: Our results provide preliminary evidence that multivariable regression model constructed using both qualitative CEUS features and CATR provides the greatest discriminatory ability to differentiate RN, DN, and small HCC in patients with cirrhosis, and might allow for active surveillance of the progression of cirrhotic liver lesions. Key Points: • Proportional odds logistic regression models based on qualitative CEUS features and/or CATRcan be used for differentiating cirrhotic liver lesions and for active surveillance of HCC. • The reduction of CATR(RN < DN < small HCC) was strongly associated with high-risk cirrhotic liver nodules. • Inclusion of CATRin the CEUS prediction model significantly improved its performance for cirrhotic liver lesions risk-stratification. [ABSTRACT FROM AUTHOR] |
| Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 145263129 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Differentiation of regenerative nodule, dysplastic nodule, and small hepatocellular carcinoma in cirrhotic patients: a contrast-enhanced ultrasound–based multivariable model analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Duan%2C+Yu%22">Duan, Yu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xie%2C+Xiaoyan%22">Xie, Xiaoyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Qian%22">Li, Qian</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mercaldo%2C+Nathaniel%22">Mercaldo, Nathaniel</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Samir%2C+Anthony+E%2E%22">Samir, Anthony E.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kuang%2C+Ming%22">Kuang, Ming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lin%2C+Manxia%22">Lin, Manxia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> linmxia@mail.sysu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Sep2020, Vol. 30 Issue 9, p4741-4751. 11p. 5 Diagrams, 4 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Hepatocellular+carcinoma%22">Hepatocellular carcinoma</searchLink><br /><searchLink fieldCode="DE" term="%22Contrast-enhanced+ultrasound%22">Contrast-enhanced ultrasound</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Contrast+media%22">Contrast media</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Objective: To develop a contrast-enhanced ultrasound (CEUS)–based model for differentiating cirrhotic liver lesions and for active surveillance of hepatocellular carcinoma (HCC). Methods: Patients with focal liver lesions (FLLs) with biopsy/resection-proven pathology and pre-procedure CEUS were enrolled from our institution between January 2011 and November 2014. Univariable and multivariable regression models were constructed using qualitative CEUS features and/or contrast arrival time ratio (CATR). The optimism-adjusted Harrell's generalized concordance index (CH) was used to quantify the discriminatory ability of each CEUS feature and model. Results: A total of 149 patients (113 men and 36 women) with 162 FLLs were enrolled with mean age 53.4 ± 12.7 years. A 0.1-unit reduction in CATR was associated with a 68% increase in the odds of having a higher nodule ranking (RN < DN < small HCC) (OR, 0.32; 95% CI, 0.20–0.50, p <.001). Arterial phase hypoenhancement and isoenhancement were inversely associated with a higher nodule ranking compared to hyperenhancement. Late-phase isoenhancement was associated with lower odds of a higher nodule ranking. The CEUS + CATR model (CH 0.92, 0.89–0.95) provided greater discriminatory ability when compared to the CATR model (ΔCH 0.09, 0.04–0.13, p <.001) and the CEUS model (ΔCH 0.03, 0.01–0.05, p =.02). Conclusions: Our results provide preliminary evidence that multivariable regression model constructed using both qualitative CEUS features and CATR provides the greatest discriminatory ability to differentiate RN, DN, and small HCC in patients with cirrhosis, and might allow for active surveillance of the progression of cirrhotic liver lesions. Key Points: • Proportional odds logistic regression models based on qualitative CEUS features and/or CATRcan be used for differentiating cirrhotic liver lesions and for active surveillance of HCC. • The reduction of CATR(RN < DN < small HCC) was strongly associated with high-risk cirrhotic liver nodules. • Inclusion of CATRin the CEUS prediction model significantly improved its performance for cirrhotic liver lesions risk-stratification. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-020-06834-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 4741 Subjects: – SubjectFull: Hepatocellular carcinoma Type: general – SubjectFull: Contrast-enhanced ultrasound Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Contrast media Type: general Titles: – TitleFull: Differentiation of regenerative nodule, dysplastic nodule, and small hepatocellular carcinoma in cirrhotic patients: a contrast-enhanced ultrasound–based multivariable model analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Duan, Yu – PersonEntity: Name: NameFull: Xie, Xiaoyan – PersonEntity: Name: NameFull: Li, Qian – PersonEntity: Name: NameFull: Mercaldo, Nathaniel – PersonEntity: Name: NameFull: Samir, Anthony E. – PersonEntity: Name: NameFull: Kuang, Ming – PersonEntity: Name: NameFull: Lin, Manxia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 30 – Type: issue Value: 9 Titles: – TitleFull: European Radiology Type: main |
| ResultId | 1 |
