Construction of a clinically significant prostate cancer risk prediction model based on traditional diagnostic methods
This study incorporated the results of three traditional diagnostic methods to establish a cost-effective and highly accurate model for predicting csPCa before biopsy. With this model, we aim to provide a non-invasive and cost-effective tool for csPCa detection in Asia and other underdeveloped areas.
Authors
- Wen-Tong Ji
- Han Zhao (ORCID: https://orcid.org/0000-0002-3528-9938)
- Yao Wang (ORCID: https://orcid.org/0000-0002-3034-1354)
- Siqi Wang (ORCID: https://orcid.org/0000-0001-7274-6272)
- Yongkun Wang
Institutions
- Jilin University (CN)
- People 's Hospital of Jilin Province (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fonc.2024.1474891
- Citations
- 2
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Natural Science Foundation of Jilin Province
- People's Government of Jilin Province
- Wu Jieping Medical Foundation