Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study

The radiomics models based on multi-sequence MRI might be a noninvasive and effective tool, demonstrating good efficacy in preoperatively predicting the WHO/ISUP grade of ccRCC.

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Publication Details

Journal
BMC Cancer
Published
2024-09-27
DOI
https://doi.org/10.1186/s12885-024-12930-2
Citations
7
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
2.93

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article

Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study

Yan Qin Tan, P. Shen, J.P. Zhang, Ruihong Chen et al.
7 citations
BMC Cancer
Renal cell carcinoma treatment
2.93
article

Multi-sequence MRI-based radiomics model to preoperatively predict the WHO/ISUP grade of clear Cell Renal Cell Carcinoma: a two-center study

Yan Qin Tan, P. Shen, J.P. Zhang, Ruihong Chen, Qiaona Su, Yangyang Li
article en
7 citations

Abstract

The radiomics models based on multi-sequence MRI might be a noninvasive and effective tool, demonstrating good efficacy in preoperatively predicting the WHO/ISUP grade of ccRCC.

BMC CancerVol. 24(1)
Shanxi Medical University (CN), Shanxi Provincial Cancer Hospital (CN), First Hospital of Shanxi Medical University (CN)
National Natural Science Foundation of China, Shanxi Scholarship Council of China
Openalex Percentile: Top 8%
Renal cell carcinoma treatment
2.93
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