Predicting Prostate Biopsy Outcome by Findings at Digital Rectal Examination, Transrectal Ultrasonography, PSA, PSA Density and Free-To-Total PSA Ratio in a Population-Based Screening Setting

Author:

Ciatto S.1,Bonardi R.1,Lombardi C.2,Cappelli G.3,Castagnoli A.3,D'Agata A.3,Zappa M.1,Gervasi G.1

Affiliation:

1. Centro per lo Studio e la Prevenzione Oncologica, Florence

2. Department of Urology, Torre Galli Hospital, Florence

3. Department of Nuclear Medicine, Careggi Hospital, Florence - Italy

Abstract

The study offers a retrospective analysis of the positive predictive value (PPV) of several variables, i.e. digital rectal examination (DRE), transrectal ultrasonography (TRUS), PSA value, PSA density (PSAD), and free/total PSA ratio (F/T), for the histologic outcome of 179 prostate biopsies performed within a population-based screening trial. The ratio of spared benign biopsies to missed cancers (SBB/MC) if biopsy results had been decided on the basis of single variables was also evaluated. PPV was 82.9% for DRE, 56.3% for TRUS, 26.6% for PSA (cutoff ≥4 ng/mL), 47.4% for PSA (cutoff ≥10 ng/mL), 42.0% for PSAD (cutoff 0.15), 59.2% for PSAD (cutoff 0.20), 34.9% for F/T (cutoff 0.20) and 40.0% for F/T (cutoff 0.15). SBB/MC was 121/23 for DRE, 96/12 for TRUS, 11/10 for PSA (cutoff ≥4 ng/mL), 107/34 for PSA (cutoff ≥10 ng/mL), 87/23 for PSAD (cutoff 0.15), 109/26 for PSAD (cutoff 0.20), 45/8 for F/T (cutoff 0.20) and 70/14 for F/T (cutoff 0.15). Multivariate analysis of the association with biopsy outcome showed the highest odds ratio for TRUS (13.24, 95% CI=4.4–30.7), and considerably lower values for DRE (4.17, 95% CI=2.0–8–9), PSAD (cutoff 0.20: 3.24, 95% CI=–1.8–5.7) and F/T (cutoff <0.15: 3.16, 95% CI =1.7–1.8). None of the possible variable combinations was clinically useful: the highest PPV (83.3%) was obtained with a combination of suspicious DRE/TRUS, PSAD >0.20 and F/T <0.15, which nevertheless missed 20 of 52 cancers.

Publisher

SAGE Publications

Subject

Cancer Research,Clinical Biochemistry,Oncology,Pathology and Forensic Medicine

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