The interpretable CT-based vision transformer model for preoperative prediction of clear cell renal cell carcinoma SSIGN score and outcome

Current first-line imaging lacks preoperative prediction of the SSIGN score for ccRCC patients. The ViT model could predict the SSIGN score and outcome of ccRCC patients. This study can facilitate the development of personalized treatment for ccRCC patients.

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Publication Details

Journal
Insights into Imaging
Published
2025-05-09
DOI
https://doi.org/10.1186/s13244-025-01972-0
Citations
2
Primary Topic
Renal cell carcinoma treatment
Type
article
Field-Weighted Citation Impact
3.04

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article

The interpretable CT-based vision transformer model for preoperative prediction of clear cell renal cell carcinoma SSIGN score and outcome

Lianzi Zhao, Jie Wu, Xia Zhao, Pei Nie et al.
2 citations
Insights into Imaging
Renal cell carcinoma treatment
3.04
article

The interpretable CT-based vision transformer model for preoperative prediction of clear cell renal cell carcinoma SSIGN score and outcome

Lianzi Zhao, Jie Wu, Xia Zhao, Pei Nie, Nan Wang, Yanmei Wang, Guangjie Yang, Feng Hou, Xianjun Li, Chengcheng Chen, Lei Yan, He Zhu, Kaiyue Zhi, Yuchao Xu, Yicong Wang, Shuo Zhang, Ning Wang
article en
2 citations

Abstract

Current first-line imaging lacks preoperative prediction of the SSIGN score for ccRCC patients. The ViT model could predict the SSIGN score and outcome of ccRCC patients. This study can facilitate the development of personalized treatment for ccRCC patients.

Insights into ImagingVol. 16(1)
Qingdao University (CN), Yuhuangding Hospital (CN), Fudan University Shanghai Cancer Center (CN), People’s Hospital of Rizhao (CN), Weifang People's Hospital (CN), Shandong Provincial Hospital (CN), Affiliated Hospital of Qingdao University (CN), Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN), Affiliated Hospital of Jining Medical University (CN), Shandong First Medical University (CN), University of South China (CN)
Taishan Scholar Foundation of Shandong Province
Openalex Percentile: Top 10%
Renal cell carcinoma treatment
3.04
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