Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment

The combined model allowed for the prognostic prediction of ccRCC patients by incorporating the DLRS and significant clinicopathologic features. The radiomics features could reflect the tumor heterogeneity and microenvironment.

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Publication Details

Journal
Cancer Imaging
Published
2024-09-16
DOI
https://doi.org/10.1186/s40644-024-00768-7
Citations
15
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
6.28

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article

Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment

Jian Li, Zhigang Zheng, Luyang Wu, Sunbin Dong et al.
15 citations
Cancer Imaging
Renal cell carcinoma treatment
6.28
article

Radiomics predicts the prognosis of patients with clear cell renal cell carcinoma by reflecting the tumor heterogeneity and microenvironment

Jian Li, Zhigang Zheng, Luyang Wu, Sunbin Dong, Bo Huang, Ji Wu, Xiping Shen
article en
15 citations

Abstract

The combined model allowed for the prognostic prediction of ccRCC patients by incorporating the DLRS and significant clinicopathologic features. The radiomics features could reflect the tumor heterogeneity and microenvironment.

Cancer ImagingVol. 24(1)
Renji Hospital (CN), Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Changshu No.1 People's Hospital (CN), Nanjing Medical University (CN)
Soochow University
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Renal cell carcinoma treatment
6.28
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