Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study

Subregion tumor characterization outperforms the single-entity approach. The integrated model, compared with the radiomics model, boosts grading and prognostic accuracy for more targeted clinical actions.

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Publication Details

Journal
Cancer Imaging
Published
2025-05-03
DOI
https://doi.org/10.1186/s40644-025-00875-z
Citations
7
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
10.63

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article

Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study

Hongqing Zhu, Kang-Chen Gu, Jianbo Zhang, Wenjun Yao et al.
7 citations
Cancer Imaging
Renal cell carcinoma treatment
10.63
article

Preoperative prediction of WHO/ISUP grade of ccRCC using intratumoral and peritumoral habitat imaging: multicenter study

Hongqing Zhu, Kang-Chen Gu, Jianbo Zhang, Wenjun Yao, Zhihui Chen, Hongmin Shu
article en
7 citations

Abstract

Subregion tumor characterization outperforms the single-entity approach. The integrated model, compared with the radiomics model, boosts grading and prognostic accuracy for more targeted clinical actions.

Cancer ImagingVol. 25(1)
Anhui Medical University (CN), First Affiliated Hospital of Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
University Natural Science Research Project of Anhui Province
Openalex Percentile: Top 2%
Renal cell carcinoma treatment
10.63
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