Transition Zone PSA Density Analysis in 3,958 Prostate MRI Patients

A clinical study dataset of 3,958 patients who underwent multiparametric MRI and prostate biopsy between March 2010 and June 2025. The data compares the diagnostic accuracy of transition zone PSA density versus whole-gland PSA density for detecting clinically significant prostate cancer. The dataset was published on figshare by Karger in 2026.

Use Cases

• Compare diagnostic accuracy of PSA density metrics based on ROC analysis results.
• Assess model performance across prostate volume subgroups based on the volume-stratified analysis.
• Evaluate clinical utility of biomarkers using decision curve analysis (DCA) results.
• Study the relationship between prostate volume and biomarker efficacy for cancer detection.

Strengths

• Data covers 3,958 consecutive patients, a large cohort for this type of analysis.
• Includes manual zonal segmentation and combined MRI-guided targeted plus systematic biopsy data.
• Study period spans over 15 years (March 2010–June 2025).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The study design is retrospective and single-center, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Retrospective analysis of patients who underwent multiparametric MRI and biopsy.

Time Range

March 2010 to June 2025

Freshness

Last updated 2026-06-04 07:55:10; freshness should be verified.