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Dataset Information

Construction and Comparison of Different Models in Detecting Prostate Cancer and Clinically Significant Prostate Cancer.


ABSTRACT:

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 false-positive rate of serum PSA levels, it was difficult to diagnose PCa accurately. To improve the diagnosis of PCa and clinically significant prostate cancer (CSPCa), we established novel models on the basis of the prostate health index (PHI) and multiparametric magnetic resonance imaging (mpMRI) in the Asian population.

Methods

We retrospectively collected the clinical indicators of patients with TPSA at 4-20 ng/ml. Furthermore, mpMRI was performed using a 3.0-T scanner and reported in the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS). Univariable and multivariable logist

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC9316170 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature