We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Nomogram based on Sonazoid contrast-enhanced ultrasound to differentiate intrahepatic cholangiocarcinoma and poorly differentiated hepatocellular carcinoma: a prospective multicenter study.
- Authors
Wang, Shuo; Yao, Jundong; Li, Kaiyan; Yang, Hong; Lu, Shichun; He, Guangzhi; Wu, Wei; Cheng, Wen; Jiang, Tianan; Ding, Hong; Jing, Xiang; Yan, Yuanyuan; Liu, Fangyi; Yu, Jie; Han, Zhiyu; Cheng, Zhigang; Tan, Shuilian; Li, Xin; Dou, Jianping; Li, Yunlin
- Abstract
Objectives: The aim of this study was to develop a predictive model based on Sonazoid contrast-enhanced ultrasound (SCEUS) and clinical features to discriminate poorly differentiated hepatocellular carcinoma (P-HCC) from intrahepatic cholangiocarcinoma (ICC). Patients and method: Forty-one ICC and forty-nine P-HCC patients were enrolled in this study. The CEUS LI-RADS category was assigned according to CEUS LI-RADS version 2017. Based on SCEUS and clinical features, a predicated model was established. Multivariate logistic regression analysis and LASSO logistic regression were used to identify the most valuable features, 400 times repeated 3-fold cross-validation was performed on the nomogram model and the model performance was determined by its discrimination, calibration, and clinical usefulness. Results: Multivariate logistic regression and LASSO logistic regression indicated that age (> 51 y), viral hepatitis (No), AFP level (≤ 20 µg/L), washout time (≤ 45 s), and enhancement level in the Kupffer phase (Defect) were valuable predictors related to ICC. The area under the receiver operating characteristic (AUC) of the nomogram was 0.930 (95% CI: 0.856–0.973), much higher than the subjective assessment by the sonographers and CEUS LI-RADS categories. The calibration curve showed that the predicted incidence was more consistent with the actual incidence of ICC, and 400 times repeated 3-fold cross-validation revealed good discrimination with a mean AUC of 0.851. Decision curve analysis showed that the nomogram could increase the net benefit for patients. Conclusions: The nomogram based on SCEUS and clinical features can effectively differentiate P-HCC from ICC
- Subjects
NOMOGRAPHY (Mathematics); CONTRAST-enhanced ultrasound; HEPATOCELLULAR carcinoma; CHOLANGIOCARCINOMA; LOGISTIC regression analysis; RECEIVER operating characteristic curves
- Publication
Abdominal Radiology, 2023, Vol 48, Issue 10, p3101
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-023-03993-z