Preoperative Computed Tomography Radiomics-Based Models for Predicting Microvascular Invasion of Intrahepatic Mass-Forming Cholangiocarcinoma

CT radiomics signature is a powerful predictor for predicting MVI. The preoperative combined model (constructed with shape, intratumoral vessels, portal venous phase tumor-liver CT ratio, and radscore) performed well in predicting the MVI.

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Publication Details

Journal
Journal of Computer Assisted Tomography
Published
2024-11-13
DOI
https://doi.org/10.1097/rct.0000000000001686
Citations
1
Primary Topic
Cholangiocarcinoma and Gallbladder Cancer Studies
Type
article
Field-Weighted Citation Impact
0.57
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article

Preoperative Computed Tomography Radiomics-Based Models for Predicting Microvascular Invasion of Intrahepatic Mass-Forming Cholangiocarcinoma

Jianhua Wang, Yong Zhu, Can Cui, Zhongqiu Wang et al.
1 citations
Journal of Computer Assisted Tomography
Cholangiocarcinoma and Gallbladder Cancer Studies
0.57
article

Preoperative Computed Tomography Radiomics-Based Models for Predicting Microvascular Invasion of Intrahepatic Mass-Forming Cholangiocarcinoma

Jianhua Wang, Yong Zhu, Can Cui, Zhongqiu Wang, Wenjing Cui, Jiao Chen, Hailin Jin
article en
1 citations

Abstract

CT radiomics signature is a powerful predictor for predicting MVI. The preoperative combined model (constructed with shape, intratumoral vessels, portal venous phase tumor-liver CT ratio, and radscore) performed well in predicting the MVI.

Journal of Computer Assisted TomographyVol. 49(3)
Nanjing University of Chinese Medicine (CN), Jiangsu Province Hospital (CN)
Good health and well-being
Openalex Percentile: Top 28%
Cholangiocarcinoma and Gallbladder Cancer Studies
0.57
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