Prediction of microvascular invasion in hepatocellular carcinoma with conventional ultrasound, Sonazoid-enhanced ultrasound, and biochemical indicator: a multicenter study

• Published in: Insights into imaging 2024-10, Vol.15 (1), p.261-14, Article 261
• Main Authors: Lu, Dan, Wang, Li-Fan, Han, Hong, Li, Lin-Lin, Kong, Wen-Tao, Zhou, Qian, Zhou, Bo-Yang, Sun, Yi-Kang, Yin, Hao-Hao, Zhu, Ming-Rui, Hu, Xin-Yuan, Lu, Qing, Xia, Han-Sheng, Wang, Xi, Zhao, Chong-Ke, Zhou, Jian-Hua, Xu, Hui-Xiong
• Format: Article
• Language: English
• Subjects: Biochemistry; Calibration; Contrast-enhanced ultrasound; Diagnostic Radiology; Hepatocellular carcinoma; Imaging; Internal Medicine; Interventional Radiology; Kupffer-phase; Liver cancer; Medicine; Medicine & Public Health; Microvascular invasion; Neuroradiology; Original; Original Article; Prediction models; Radiology; Regression analysis; Regression models; Sonazoid; Subgroups; Test sets; Tumors; Ultrasonic imaging; Ultrasound
• ISSN: 1869-4101; 1869-4101
• DOI: 10.1186/s13244-024-01743-3

Purpose To develop and validate a preoperative prediction model based on multimodal ultrasound and biochemical indicator for identifying microvascular invasion (MVI) in patients with a single hepatocellular carcinoma (HCC) ≤ 5 cm. Methods From May 2022 to November 2023, a total of 318 patients with pathologically confirmed single HCC ≤ 5 cm from three institutions were enrolled. All of them underwent preoperative biochemical, conventional ultrasound (US), and contrast-enhanced ultrasound (CEUS) (Sonazoid, 0.6 mL, bolus injection) examinations. Univariate and multivariate logistic regression analyses on clinical information, biochemical indicator, and US imaging features were performed in the training set to seek independent predictors for MVI-positive. The models were constructed and evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis in both validation and test sets. Subgroup analyses in patients with different liver background and tumor sizes were conducted to further investigate the model’s performance. Results Logistic regression analyses showed that obscure tumor boundary in B-mode US, intra-tumoral artery in pulsed-wave Doppler US, complete Kupffer-phase agent clearance in Sonazoid-CEUS, and biomedical indicator PIVKA-II were independently correlated with MVI-positive. The combined model comprising all predictors showed the highest AUC, which were 0.937 and 0.893 in the validation and test sets. Good calibration and prominent net benefit were achieved in both sets. No significant difference was found in subgroup analyses. Conclusions The combination of biochemical indicator, conventional US, and Sonazoid-CEUS features could help preoperative MVI prediction in patients with a single HCC ≤ 5 cm. Critical relevance statement Investigation of imaging features in conventional US, Sonazoid-CEUS, and biochemical indicators showed a significant relation with MVI-positivity in patients with a single HCC ≤ 5 cm, allowing the construction of a model for preoperative prediction of MVI status to help treatment decision making. Key Points MVI status is important for patients with a single HCC ≤ 5 cm. The model based on conventional US, Sonazoid-CEUS and PIVKA-II performs best for MVI prediction. The combined model has potential for preoperative prediction of MVI status. Graphical Abstract