A Nomogram Based on Contrast-Enhanced Ultrasound to Predict the Microvascular Invasion in Hepatocellular Carcinoma

被引:6
|
作者
Jiang, Bo [1 ]
Fei, Xiang [1 ]
Fan, XiaoWei [2 ]
Zhu, LianHua [1 ]
Lu, ShiChun [3 ]
Luo, YuKun [1 ,4 ]
机构
[1] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Ultrasound, Beijing, Peoples R China
[2] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Pathol, Beijing, Peoples R China
[3] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Hepatobiliary Surg, Beijing, Peoples R China
[4] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 1, Dept Ultrasound, 28 Fuxing Rd, Beijing 100853, Peoples R China
关键词
Hepatocellular carcinoma; Contrast-enhanced ultrasound; Magnetic resonance imaging; Nomograms; Microvascular invasion; DIAGNOSIS; IMAGES;
D O I
10.1016/j.ultrasmedbio.2023.02.020
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Objective: The aim of this study was to establish and validate a contrast-enhanced ultrasound (CEUS) nomogram for pre-operative microvascular invasion (MVI) prediction in hepatocellular carcinoma (HCC), and compare it with the nomogram based on gadopentetate dimeglumine-enhanced magnetic resonance imaging (Gd-MRI). Methods: A total of 251 patients with a single HCC were enrolled in this prospective study, including 176 patients in the training cohort and 75 patients in the validation cohort. Contrast-enhanced ultrasound (CEUS) with Sonazoid and Gd-MRI was performed pre-operatively. Post-operative histopathology was the gold standard for MVI. Univariate and multivariate logistic regression was performed to determine independent risk factors for MVI. Nomograms based on CEUS and Gd-MRI were established, and their discrimination, calibration and decision curve analysis were evaluated and compared. Results: Multivariate logistic regression revealed that arterial circular enhancement, non-enhancing area and thick ring-like enhancement in the post-vascular phase were independent risk factors for MVI. The areas under the receiver operating characteristic curve of the nomogram were 0.841 (0.779-0.892) and 0.914 (0.827-0.966) in the training and validation cohorts, with no significant difference compared with the Gd-MRI nomogram (p = 0.294, 0.321). The C-indexes were 0.821 and 0.870 in the training and validation cohorts. Decision curve analysis revealed that the CEUS nomogram had better clinical applicability than the Gd-MRI nomogram when the threshold probability was between 0.35 and 0.95. Conclusion: : The CEUS-based nomogram was available for predicting MVI in HCC, and its predictive performance was not inferior to that of Gd-MRI.
引用
收藏
页码:1561 / 1568
页数:8
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