Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients undergoing Surgical Resection
Preoperative CT-based radiomic features in combination with clinical information can serve as a non-invasive predictor of postoperative CKD in renal tumor patients undergoing surgical resection. While prospective and external validation is needed, this approach facilitated clinical decision-making and enables personalized treatment strategies in patients with renal tumors.
Authors
- Jonas Bohn (ORCID: https://orcid.org/0000-0003-1792-2725)
- Sophie Bachanek
- Johannes Uhlig (ORCID: https://orcid.org/0000-0003-3557-3194)
- Tobias Norajitra
- Annemarie Uhlig
- Julius C. Holzschuh
- Olivia Johnston
- Klaus Maier-Hein
- Heinz-Peter Schlemmer
Publication Details
- Journal
- Urologia Internationalis
- Published
- 2026-02-09
- DOI
- https://doi.org/10.1159/000550856
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00