Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures

Radiomics has potential to link TME immune phenotypes with HCC prognosis. CD2 is a key biomarker connecting NK cells with radiomic features, offering a new classification of HCC into radiogenomic subtypes. This approach supports the use of radiogenomics in personalized HCC treatment.

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Publication Details

Journal
Academic Radiology
Published
2024-11-13
DOI
https://doi.org/10.1016/j.acra.2024.10.043
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21

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article

Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures

Yannan Zhang, Zhishang Meng, Zuo‐Lin Xiang, Yanzhu Chen
3 citations
Academic Radiology
Radiomics and Machine Learning in Medical Imaging
1.21
article

Natural Killer Cell-Associated Radiogenomics Model for Hepatocellular Carcinoma: Integrating CD2 and Enhanced CT-Derived Radiomics Signatures

Yannan Zhang, Zhishang Meng, Zuo‐Lin Xiang, Yanzhu Chen
article en
3 citations

Abstract

Radiomics has potential to link TME immune phenotypes with HCC prognosis. CD2 is a key biomarker connecting NK cells with radiomic features, offering a new classification of HCC into radiogenomic subtypes. This approach supports the use of radiogenomics in personalized HCC treatment.

Academic RadiologyVol. 32(4)
Central South University (CN), Shanghai East Hospital (CN), Second Xiangya Hospital of Central South University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
1.21
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