AI Article Synopsis

  • The study investigates the role of PSA density as a reliable predictor for clinically significant prostate cancer (csPCa) and aims to find an optimal cutoff value to differentiate increased PSA levels caused by inflammation.
  • Involving 1988 patients with elevated PSA levels or positive DRE, results showed that while PSA density was a strong predictor of csPCa, it was not associated with prostatic inflammation.
  • The optimal PSA density cutoff for diagnosing csPCa was determined to be 0.10 ng/ml for first-time biopsy patients and 0.15 ng/ml for those with prior negative biopsies, suggesting PSA density may be a better evaluation tool than PSA alone.

Article Abstract

The association between PSA density, prostate cancer (PCa) and BPH is well established. The aim of the present study was to establish whether PSA density can be used as a reliable parameter to predict csPCa and to determine its optimal cutoff to exclude increased PSA levels due to intraprostatic inflammation. This is a large prospective single-center, observational study evaluating the role of PSA density in the discrimination between intraprostatic inflammation and clinically significant PCa (csPCa). Patients with PSA ≥ 4 ng/ml and/or positive digito-rectal examination (DRE) and scheduled for prostate biopsy were enrolled. Prostatic inflammation (PI) was assessed and graded using the Irani Scores. Multivariable binary logistic regression analysis was used to assess if PSA density was associated with clinically significant PCa (csPCa) rather than prostatic inflammation. A total of 1988 patients met the inclusion criteria. Any PCa and csPCa rates were 47% and 24% respectively. In the group without csPCa, patients with prostatic inflammation had a higher PSA (6.0 vs 5.0 ng/ml; p=0.0003), higher prostate volume (58 vs 52 cc; p<0.0001), were more likely to have a previous negative biopsy (29% vs 21%; p=0.0005) and a negative DRE (70% vs 65%; p=0.023) but no difference in PSA density (0.1 vs 0.11; p=0.2). Conversely in the group with csPCa, patients with prostatic inflammation had a higher prostate volume (43 vs 40 cc; p=0.007) but no difference in the other clinical parameters. At multivariable analysis adjusting for age, biopsy history, DRE and prostate volume, PSA density emerged as a strong predictor of csPCA but was not associated with prostatic inflammation. The optimal cutoffs of PSA density to diagnose csPCa and rule out the presence of prostatic inflammation in patients with an elevated PSA (>4 ng/ml) were 0.10 ng/ml in biopsy naïve patients and 0.15 ng/ml in patients with a previous negative biopsy. PSA density rather than PSA, should be used to evaluate patients at risk of prostate cancer who may need additional testing or prostate biopsy. This readily available parameter can potentially identify men who do not have PCa but have an elevated PSA secondary to benign conditions.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173030PMC
http://dx.doi.org/10.3389/fonc.2021.693684DOI Listing

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