Basic factors predicting prostate cancer in Prostate Imaging Reporting and Data System-3 lesions

ABSTRACT

Abstract
Objective: We aimed to investigate the role of the digital rectal examination, PSA density, re-gional location of the lesion and prostate size in predicting prostate cancer in Prostate Imaging and Data Reporting System (PI-RADS)-3 lesions.

Material and Methods: A total of 236 patients with multiparametric MRI performed for clinical suspicion of prostate cancer and reported PI-RADS-3 enrolled between January 2016 and July 2019 in this retrospective study. The datas were extracted from the hospital’s electronic records, patient files and outpatient clinic records. Multi-parametric MRI was performed patients to whom have elevated PSA level and/or suspicious digital rectal examination. Patients diagnosed with and without prostate cancer were compared in terms of age, PSA, PSA density, prostate size, patholog-ical results, lesion localization and DRE findings.

Results: One hundred thirty- independent predictor seven patients with an initial score of PI-RADS-3 were subjected to further analysis. Prostat cancer detection  rate in overall and clinically sig-nificant prostate cancer detection rate was 26.2% and 4.3%, respectively. There was a significant difference regarding DRE findings (p=0.001) and PZ location of the lesion (p=0.005) between PCa and no PCa groups. Digital rectal examination (p=0.001) was an independent predictor of prostate cancer  in multivariate logistic regression analysis.Conclusion: Digital rectal examination is a practical and im-portant parameter in clarifying the suspicion of prostate cancer in PI-RADS-3 lesions.

Keywords: prostatic neoplasms, digital rectal examination, multiparametric magnetic resonance imaging, image guided biopsy

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