Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study

This study successfully developed a comprehensive model that integrates radiomic and clinical data for the preoperative prediction of Ki-67 expression in HCC patients.

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Publication Details

Journal
Cancer Medicine
Published
2025-02-01
DOI
https://doi.org/10.1002/cam4.70562
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
6.80

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article

Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study

Yameng Ren, Liancai Wang, Lianyuan Tao, Deyu Li et al.
5 citations
Cancer Medicine
Radiomics and Machine Learning in Medical Imaging
6.80
article

Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study

Yameng Ren, Liancai Wang, Lianyuan Tao, Deyu Li, Dongxiao Li, Hui Zhu, Chiyu Cai
article en
5 citations

Abstract

This study successfully developed a comprehensive model that integrates radiomic and clinical data for the preoperative prediction of Ki-67 expression in HCC patients.

Cancer MedicineVol. 14(4)
Zhengzhou University (CN), Zhengzhou People's Hospital (CN)
National Natural Science Foundation of China, Science and Technology Department of Henan Province
Good health and well-being
Openalex Percentile: Top 4%
Radiomics and Machine Learning in Medical Imaging
6.80
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