Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma
The use of radiomics model based on renal CT images can be noninvasively used to predict the immune infiltration level of ccRCC as well as combined with clinical information to create columnar plots predicting total survival in people with ccRCC and to predict responsiveness to ICI therapy, findings that may be useful in stratifying the prognosis of patients with ccRCC and guiding clinical practitioners to develop individualized regimens in the treatment of their patients.
Authors
- Guangzhen Wu (ORCID: https://orcid.org/0000-0002-2300-8465)
- Qifei Wang (ORCID: https://orcid.org/0000-0002-9365-0373)
- Xiaochen Qi
- Xiangyu Che (ORCID: https://orcid.org/0000-0003-4646-1390)
- Wenfei Ge
- Shiyan Song
Institutions
- Dalian Medical University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Affiliated Zhongshan Hospital of Dalian University (CN)
Publication Details
- Journal
- BMC Medical Imaging
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1186/s12880-025-01749-3
- Citations
- 2
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04