Predictive Value of Incidental Cross‐Sectional Imaging for Prediction of Skeletal Events in Patients With Prostate Cancer
While computed tomography imaging can detect bone loss in this patient population, it does not appear to be of sufficient utility to predict skeletal events. This highlights the need for exploring new imaging techniques and their integration with nomograms, which are crucial research areas for improving the management of osteoporosis in patients with prostate cancer.
Authors
- Satı Coşkun Yazgan
- Merih Yalçıner
- Başak Gülpınar (ORCID: https://orcid.org/0000-0002-4733-1099)
- Yüksel Ürün (ORCID: https://orcid.org/0000-0002-9152-9887)
- Efe Cem Erdat (ORCID: https://orcid.org/0000-0002-1250-1297)
- Emre Yekedüz (ORCID: https://orcid.org/0000-0001-6819-5930)
- Said Buğra Ergenoğlu
Institutions
- Ankara University (TR)
Publication Details
- Journal
- Cancer Diagnosis & Prognosis
- Published
- 2025-07-01
- DOI
- https://doi.org/10.21873/cdp.10464
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00