Analysis of Sonazoid contrast-enhanced ultrasound for predicting the risk of microvascular invasion in hepatocellular carcinoma: a prospective multicenter study

Objectives The aim of this study was to evaluate the potential of Sonazoid contrast-enhanced ultrasound (SNZ-CEUS) as an imaging biomarker for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Methods From August 2020 to March 2021, we conducted a prospective...

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Veröffentlicht in:European radiology 2023-10, Vol.33 (10), p.7066-7076
Hauptverfasser: Yao, Jundong, Li, Kaiyan, Yang, Hong, Lu, Shichun, Ding, Hong, Luo, Yan, Li, Kai, Xie, Xiaoyan, Wu, Wei, Jing, Xiang, Liu, Fangyi, Yu, Jie, Cheng, Zhigang, Tan, Shuilian, Dou, Jianping, Dong, XueJuan, Wang, Shuo, Zhang, Yiqiong, Li, Yunlin, Qi, Erpeng, Han, Zhiyu, Liang, Ping, Yu, XiaoLing
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Sprache:eng
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Zusammenfassung:Objectives The aim of this study was to evaluate the potential of Sonazoid contrast-enhanced ultrasound (SNZ-CEUS) as an imaging biomarker for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC). Methods From August 2020 to March 2021, we conducted a prospective multicenter study on the clinical application of Sonazoid in liver tumor; a MVI prediction model was developed and validated by integrating clinical and imaging variables. Multivariate logistic regression analysis was used to establish the MVI prediction model; three models were developed: a clinical model, a SNZ-CEUS model, and a combined model and conduct external validation. We conducted subgroup analysis to investigate the performance of the SNZ-CEUS model in non-invasive prediction of MVI. Results Overall, 211 patients were evaluated. All patients were split into derivation ( n  = 170) and external validation ( n  = 41) cohorts. Patients who had MVI accounted for 89 of 211 (42.2%) patients. Multivariate analysis revealed that tumor size (> 49.2 mm), pathology differentiation, arterial phase heterogeneous enhancement pattern, non-single nodular gross morphology, washout time (
ISSN:1432-1084
0938-7994
1432-1084
DOI:10.1007/s00330-023-09656-3