The Influence of Prostate Volume on Clinical Parameters in Prostate Cancer Screening
Overview
Biotechnology
Pathology
Authors
Affiliations
Purpose: The purpose of the study was to evaluate the diagnostic significance of two new and a few clinical markers for prostate cancer (PCa) at various prostate volumes (PV).
Methods: The study subjects were divided into two groups. Among them, there were 70 cases in the PV ≤30 ml group (benign prostatic hyperplasia [BPH]: 32 cases, PCa: 38 cases) and 372 cases in the PV > 30 ml group (BPH: 277 cases, PCa: 95 cases). SPSS 26.0 and GraphPad Prism 8.0 were used to construct their receiver operating characteristic (ROC) curves for diagnosing PCa and calculating their area under the ROC curve (AUC).
Results: In the PV ≤30 ml group, the diagnostic parameters based on prostate-specific antigen (PSA) had a decreased diagnostic significance for PCa. In the PV > 30 ml group, PSAD (AUC = 0.709), AVR (AVR = Age/PV, AUC = 0.742), and A-PSAD (A-PSAD = Age×PSA/PV, AUC = 0.736) exhibited moderate diagnostic significance for PCa, which was better than PSA-AV (AUC = 0.672), free PSA (FPSA, AUC = 0.509), total PSA (TPSA, AUC = 0.563), (F/T) PSA (AUC = 0.540), and (F/T)/PSAD (AUC = 0.663). Compared with AVR, A-PSAD exhibited similar diagnostic significance for PCa, but higher than PSA density (PSAD).
Conclusions: Choosing appropriate indicators for different PVs could contribute to the early screening and diagnosis of PCa. The difference in the diagnostic value of two new indicators (A-PSAD and AVR), and PSAD for PCa may require further validation by increasing the sample size.
Liu Z, Yu Y, Hu R, Jian T, Yu K, Lu J Transl Androl Urol. 2025; 14(1):70-80.
PMID: 39974811 PMC: 11833531. DOI: 10.21037/tau-24-490.
Zhang Q, Li H, Song Z, Kong S, Zhao S, Fan S J Int Med Res. 2023; 51(10):3000605231204429.
PMID: 37848343 PMC: 10586000. DOI: 10.1177/03000605231204429.
The influence of prostate volume on clinical parameters in prostate cancer screening.
Shan J, Geng X, Lu Y, Liu Z, Zhu H, Zhou R J Clin Lab Anal. 2022; 36(10):e24700.
PMID: 36098911 PMC: 9551122. DOI: 10.1002/jcla.24700.