Volume 42, Issue 11 pp. 2501-2511
Original Article

Comparison of the Feasibility and Diagnostic Performance of ACR CEUS LI-RADS and a Modified CEUS LI-RADS for HCC in Examinations Using Sonazoid

Wei Liao MBBS

Wei Liao MBBS

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Qiao Que MMed

Qiao Que MMed

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Rong Wen MMed

Rong Wen MMed

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Peng Lin MMed

Peng Lin MMed

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Yuji Chen MBBS

Yuji Chen MBBS

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Jinshu Pang MBBS

Jinshu Pang MBBS

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Danxia Guo MBBS

Danxia Guo MBBS

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Dongyue Wen MMed

Dongyue Wen MMed

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Search for more papers by this author
Hong Yang MD, PhD

Hong Yang MD, PhD

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, Nanning, China

Search for more papers by this author
Yun He MMed

Corresponding Author

Yun He MMed

Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China

Guangxi Zhuang Autonomous Region Engineering Research Center for Artificial Intelligence Analysis of Multimodal Tumor Images, Nanning, China

Address correspondence to Yun He, MMed, Department of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, People's Republic of China.

E-mail: [email protected]

Search for more papers by this author
First published: 03 June 2023
Citations: 1

Wei Liao and Qiao Que contributed equally to this work.

Yun He and Hong Yang were co-corresponding authors.

Thanks to Key Laboratory of Ultrasonic Molecular Imaging and Artificial Intelligence, Guangxi Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor and Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education for their support of this study.

Abstract

Objectives

The present study aimed to determine the feasibility of the American College of Radiology's (ACR) contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) (version 2017) in examinations using Sonazoid and compare its diagnostic performance with that of modified LI-RADS in patients at high risk of hepatocellular carcinoma (HCC).

Methods

This retrospective study's sample population consisted of 137 participants with a total of 140 nodules who underwent CEUS with Sonazoid and pathological confirmation via surgery or biopsy from January 2020 to February 2022. The lesions were evaluated and classified based on the reference standards (ie, ACR CEUS LI-RADS and modified LI-RADS). The overall diagnostic capabilities of the two systems were evaluated in terms of accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) with 95% confidence intervals (CIs).

Results

The participants had a median age of 51 years and an interquartile range of 43–58 years. Regarding LR-5 as a predictor of HCC, the accuracy results of the ACR LI-RADS and modified LI-RADS algorithms were 72.9 and 71.4%, respectively (P = .50). The sensitivity of both systems was the same (69.7%; 95% CI: 60.7–77.8%). Regarding LR-M as a predictor of non-HCC malignancy, the diagnostic performance of the algorithms was the same, with accuracy and sensitivity results of 76.4 and 73.3%, respectively (95% CI: 44.9–92.2%).

Conclusion

The findings indicate that modified LI-RADS had a moderate level of diagnostic performance for HCC in examinations using Sonazoid, which was comparable to ACR LI-RADS.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.