Evidence map›Paper›PMID 42118276›Full record

ArticleAbdominal radiology (New York)2026

Dual-energy CT-derived multiparameters for noninvasive prediction of vessels encapsulating tumor clusters and microvascular invasion in hepatocellular carcinoma.

Mengsi Li, Huayu You, Ma Luo, Anqi Li, Jinhui Zhou, Lina Zhang, Yuanqiang Xiao, Xiao Yu, Weiwei Deng, Zhongping Zhang and 3 more

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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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5 · Who and what money

Authors and funding

13 authors.

Mengsi Li *Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Huayu You *Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Ma Luo *Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Anqi LiDepartment of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jinhui ZhouDepartment of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Lina ZhangDepartment of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yuanqiang XiaoDepartment of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xiao YuClinical and Technical Support, Philips Healthcare China, Shanghai, China.
Weiwei DengClinical and Technical Support, Philips Healthcare China, Shanghai, China.
Zhongping ZhangClinical and Technical Support, Philips Healthcare China, Shanghai, China.
Chuanmiao Xie *Department of Radiology, Sun Yat-sen University Cancer Center, Guangzhou, China. xchuanm@sysucc.org.cn.
Shiting Feng *Department of Radiology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. fengsht@mail.sysu.edu.cn.
Jin Wang *Department of Radiology, Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. wangjin3@mail.sysu.edu.cn.

Funding

China International Medical Foundation SKY Research Fund for Medical Imaging Z-2014-07-2101 and Z-2014-07-1912-15Guangzhou Basic Research Program, City-Institute Joint Funding Project 2024A03J0283Guangzhou Municipal Health Commission Clinical Speciality Technology 2023P-TS47Karamay City Science and Technology Program Key R&D Program 2025BA0062National Natural Science Foundation of China grant 82271973 and 91959118The "Five Five" Project of the Third Affiliated Hospital of Sun Yat-sen University 2023WW103
6 · The paper itself

Abstract

objectiveVessels encapsulating tumor clusters (VETC) and microvascular invasion (MVI) are risk factors for early recurrence after hepatectomy in patients with hepatocellular carcinoma (HCC). This study aimed to assess the performance of multiparameters of dual-phase contrast-enhanced dual-energy CT (DECT) in identifying VETC and MVI statuses noninvasively.

methodsThis retrospective study enrolled 122 patients with pathologically confirmed HCC (VETC +/-, N = 57/65; MVI +/-, N = 54/68) who underwent contrast-enhanced DECT examinations. Conventional clinical information and radiological features were collected. DECT-derived multiparameters in the arterial phase (AP) and portal venous phase (PVP) were analyzed, including non-normalized effective atomic number (Zeff), electron density (ED), and iodine density (ID), and their corresponding normalized parameters (N1-2 Zeff, N1-2 ED, N1-2 ID) based on two normalization approaches (N1 = tumor-to-aorta ratio; N2 = tumor-to-liver parenchyma). The slope of the energy spectrum curve (λ) was also evaluated. Univariate and multivariate logistic regression analyses were performed to construct nomograms and conventional models. The performance of each parameter, conventional model, and nomogram for assessing VETC and MVI was assessed using the area under the receiver operating characteristic curve (AUC).

resultsMultiparameters predicted VETC and MVI with AUCs ranging from 0.64 to 0.77 (all p < 0.01). Compared with their non-normalized counterparts, the performances of N1-Zeff

conclusionDECT-derived multiparameters can be used to noninvasively identify VETC and MVI statuses. Nomograms incorporating these parameters enhance VETC and MVI prediction in HCC.

Indexed as

Computed tomographyDual energyHepatocellular carcinomaMicrovessel

Identifiers

PMID42118276

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