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

Abstract

Objective: We aimed to investigate the role of the digital rectal examination, PSA density, regional 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. Multiparametric 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, pathological 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 significant 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 important 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