This research is to develop a new tool to improve the performance of predicting prostate
cancer (PCa) and reducing unnecessary biopsies. The clinical data of patients who were …

Prostate cancer (PCa) is one of the most common cancers among men globally. The authors
aimed to evaluate the ability of the Prostate Imaging Reporting and Data System version 2 …

Background To establish a new accumulating model to enhance the accuracy of prostate
cancer (PCa) diagnosis by incorporating prostate-specific antigen (PSA) and its derivative …

Background At present, prostate-specific antigen (PSA) is the primary evaluation index for
judging the necessity of prostate cancer (PCa) biopsy. However, there is a high false …

Purpose This study aims to establish and validate a new diagnosis model called PZA score
for clinically significant prostate cancer (csPCa). Methods The demographic and clinical …

Purpose To develop and validate a PI-RADS-based nomogram for predicting the probability
of clinically significant prostate cancer (csPCa) at initial prostate biopsy. Patients and …

Purpose The study aimed to construct a predictive model for clinically significant prostate
cancer (csPCa) and investigate its clinical efficacy to reduce unnecessary prostate biopsies …

Globally, Prostate cancer (PCa) is the second most common cancer in the male population
worldwide, but clinically significant prostate cancer (CSPCa) is more aggressive and causes …

Background With the widespread adoption of prostatic-specific antigen (PSA) screening, the
detection rates of prostate cancer (PCa) have increased. Due to the low specificity and high …

Background Our objective is to build a model based on Prostate Imaging Reporting and
Data System version 2 (PI-RADs v2) and assess its accuracy by internal validation. Methods …