The Predictive Value of Free PSA/PSAD, (F/T)/PSAD in Detect of Prostate Cancer Between PSA Values 4-10 ng/ml: A Single-Center Study Results


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göger Y. e., OZKENT M. S., Iyisoy M. S., karalezli g., KILINÇ M.

Selçuk Tıp Dergisi, vol.37, no.2, pp.106-112, 2021 (Peer-Reviewed Journal) identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 2
  • Publication Date: 2021
  • Doi Number: 10.30733/std.2021.01506
  • Journal Name: Selçuk Tıp Dergisi
  • Journal Indexes: TR DİZİN (ULAKBİM)
  • Page Numbers: pp.106-112
  • Uşak University Affiliated: No

Abstract

The present study aimed to investigate the predictive value of (F/T)/PSAD and Free PSA/PSAD in PCa detection in Turkish males. Patients and Methods: A retrospective analysis of patients’ files, from January 2007 to December 2017, with prostate-specific antigen (PSA) values between 4-10 ng/ml was conducted. According to the prostate biopsy outcomes, data were collected from patients and divided into prostate cancer (PCa) and/or benign prostatic hyperplasia (BPH) groups. Among the groups, prostate volume (PV), Free PSA (FPSA), Total PSA (TPSA), free-to-total PSA ratio (F/T), PSA Density (PSAD), (F/T)/PSAD, and FPSA/PSAD values were evaluated and compared. The utilization of these values in PCa detection was examined. Results: The present study participants were 131 PCa and 196 BPH patients, 327 in total. Sensitivity and specificity values of (F/T)/PSAD and FPSA/PSAD were better than PSAD, PSA, F/T. According to the optimal cut-off value, the sensitivity of (F/T)/PSAD and FPSA/PSAD was similar. Likewise, NPV of F/T, (F/T)/PSAD, and FPSA/PSAD were also similar. The logistic regression model using a combination of age, PV, FPSA/PSAD, and (F/T)/PSAD displayed a higher AUC than each of these values per se. Conclusion: FPSA/PSAD and (F/T)/PSAD, the relatively new parameters, have similar predictive accuracy in PCa detection. They have higher sensitivity and specificity than F/T PSA and PSAD alone. However, more research is needed to evaluate the ef ficiency of predictive value of these parameters.