Development and validation of a nomogram for predicting clinically significant prostate cancer using serologic indices, multiparametric magnetic resonance imaging, and sound touch elastography parameters: a retrospective study
The nomogram model integrating serologic indices, multiparametric mpMRI, and STE provides a more accurate and reliable tool for diagnosing csPCa, demonstrating substantial potential for clinical translation.
Authors
- Yonghong Jin (ORCID: https://orcid.org/0000-0001-7679-8096)
- Junliang Chen (ORCID: https://orcid.org/0000-0001-9452-4697)
- Qiang Xu (ORCID: https://orcid.org/0000-0002-8008-9919)
- Kai Shu (ORCID: https://orcid.org/0000-0001-7789-125X)
- Qian Chen (ORCID: https://orcid.org/0000-0001-9913-0750)
Institutions
- Wannan Medical College (CN)
- Anqing City Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fonc.2025.1611706
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wannan Medical College