Preoperative Three-Dimensional Morphological Tumor Features Predict Microvascular Invasion in Hepatocellular Carcinoma

Yumeng Li; Pengpeng Li; Junjie Ma; Yuanyuan Wang; Qiyu Tian; Jian Yu; Qinghui Zhang; Huazheng Shi; Weiping Zhou; Gang Huang

doi:10.1016/j.acra.2023.10.060

Preoperative Three-Dimensional Morphological Tumor Features Predict Microvascular Invasion in Hepatocellular Carcinoma

Acad Radiol. 2023 Nov 20:S1076-6332(23)00613-X. doi: 10.1016/j.acra.2023.10.060. Online ahead of print.

Authors

Yumeng Li¹, Pengpeng Li², Junjie Ma³, Yuanyuan Wang², Qiyu Tian², Jian Yu², Qinghui Zhang⁴, Huazheng Shi⁵, Weiping Zhou², Gang Huang⁶

Affiliations

¹ School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China (Y.L.); Eastern Hepatobiliary Surgery Hospital, No. 700, Moyu North Road, Jiading District, Shanghai, China (Y.L., P.L., Y.W., Q.T., J.Y., W.Z., G.H.).
² Eastern Hepatobiliary Surgery Hospital, No. 700, Moyu North Road, Jiading District, Shanghai, China (Y.L., P.L., Y.W., Q.T., J.Y., W.Z., G.H.).
³ Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (J.M.).
⁴ Shenzhen Yorktal Digital Medical Imaging Technology Company Ltd, Shenzhen, China (Q.Z.).
⁵ Shanghai Universal cloud Medical Imaging Diagnostic Center, Shanghai, China (H.S.).
⁶ Eastern Hepatobiliary Surgery Hospital, No. 700, Moyu North Road, Jiading District, Shanghai, China (Y.L., P.L., Y.W., Q.T., J.Y., W.Z., G.H.). Electronic address: squaror@163.com.

PMID: 37989682
DOI: 10.1016/j.acra.2023.10.060

Abstract

Rationale and objectives: The study was designed to evaluate microvascular invasion (MVI) using three-dimensional (3D) morphological indicators prior to surgery.

Materials and methods: This retrospective study included 156 patients with hepatocellular carcinoma (HCC) at our hospital from 2017 to 2018. Through thin-layer CT scanning and 3D reconstruction, the tumor surface inclination angles can be quantitatively analyzed to determine the surface irregularity rate (SIR), which serves as a comprehensive assessment method for tumor irregularity based on preoperative 3D morphological evaluation. Univariate and multivariate logistic regression analyses were employed to investigate the correlation with MVI.

Results: The SIR was related to MVI (OR: 10.667, P < 0.001). Multivariate logistic regression analysis showed that the SIR was an independent risk factor for MVI. The area under the receiver operating characteristic curve (ROC) of prediction model composed of the morphological indicator SIR was 0.831 (95% confidence interval: 0.759-0.895).

Conclusion: The preoperative 3D morphological indicator SIR of a tumor is an accurate predictor of MVI, providing a valuable tool in clinical decision-making.

Keywords: Hepatocellular carcinoma; Microvascular invasion; Morphological feature; Prediction; Three-dimensional.