Integrative Machine Learning Model Leveraging <scp>DCE</scp> ‐ <scp>MRI</scp> and <scp>PSA</scp> Values for Advanced Risk Stratification in Prostate Cancer
Integrating DCE-MRI parameters with PSA values using ML algorithms enhances the prediction of ISUP grade metastatic risk groups. This method provides a robust tool for metastasis screening and personalized treatment in prostate cancer.
Authors
- Hasan Gündoğdu (ORCID: https://orcid.org/0000-0003-0858-7304)
- Sümeyye Sekmen (ORCID: https://orcid.org/0000-0003-1609-6775)
- Hande Melike Bülbül (ORCID: https://orcid.org/0000-0001-9492-093X)
- Mustafa Başaran (ORCID: https://orcid.org/0000-0002-2696-9616)
- Enes Gürün (ORCID: https://orcid.org/0000-0002-5321-8439)
- Kemal Panç (ORCID: https://orcid.org/0000-0002-3951-7344)
Institutions
- Ministry of Health (TR)
- Recep Tayyip Erdoğan University (TR)
- Sivas State Hospital (TR)
- Samsun University (TR)
Publication Details
- Journal
- Journal of Clinical Ultrasound
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1002/jcu.70129
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00