Evidence map›Paper›PMID 40341963›Full record

ArticleInternational urology and nephrology2025

Analysis of gray zone PSA and PSAD correlated with PIRADS v2.1 in the MRI-US fusion prostate biopsy era: a retrospective bi-centre study.

Michelangelo S Cobangbang, Bryian P Paner, Jerome Kyle R San Jose, Miguel Antonio D Isada, Paul Anthony L Sunga

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michelangelo S CobangbangInstitute of Urology, St. Luke's Medical Center, Quezon City and Global City, Philippines. michelangelo.cobangbang@gmail.com.
Bryian P PanerInstitute of Radiology, St. Luke's Medical Center, Quezon City and Global City, Philippines.
Jerome Kyle R San JoseInstitute of Urology, St. Luke's Medical Center, Quezon City and Global City, Philippines.
Miguel Antonio D IsadaInstitute of Radiology, St. Luke's Medical Center, Quezon City and Global City, Philippines.
Paul Anthony L SungaInstitute of Urology, St. Luke's Medical Center, Quezon City and Global City, Philippines.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple parameters including PSA, PSAD, and PIRADS v2.1 score, are being associated in an effort to increase the overall detection rate of clinically significant prostate cancer (csPCa). This study aims to explore gray zone PSA and PSAD correlated with PIRADS score in the detection of csPCa using MRI-US fusion prostate biopsy.

methodsMen with PSA of 4-10 who underwent prostate multiparametric MRI of the prostate (mpMRI) were divided into two groups (4-< 7 and ≥ 7-10 ng/mL) and according to PSA density (< 0.10, 0.10-0.20 and > 0.20). Subgroups according to PIRADS score were made for each group. Chi-square test was utilized for analysing the comparison of histopathology results between the PSA and PSA density subgroups per PIRADS lesion category. Using receiver-operating characteristic (ROC) curves, the diagnostic accuracy of PSA and PSAD in identifying csPCa were evaluated, and the best cutoff values were identified.

resultsOverall detection rate of csPCa was 40.4% (146/361) in the cohort of men with gray zone PSA value. Clinically significant difference in csPCa detection rate was observed in the PSAD subgroups (p =  < 0.001) while no significant difference was observed in the two groups of PSA (p = 0.387). On subgroup analysis, only the PSAD subcategories of PIRADS 4 and 5 showed significant difference (p = 0.028 and p = 0.003, respectively). Based on the ROC curve, the optimal cutoff for PSA was 6.32 with sensitivity and specificity of 65.1% and 43.3%, respectively [AUC 0.54 (0.48-0.60)]. PSAD optimal cutoff was 0.139 with sensitivity and specificity of 80.8% and 49.3%, respectively [AUC 0.67 (0.61-0.72)].

conclusionsPSA and PSAD combined with PIRADS v2.1 provide more diagnostic value than when used alone and can be used to counsel men who will undergo MRI-US fusion biopsy. In the gray zone, PSAD is a more reliable diagnostic predictor of csPCa than PSA.

Indexed as

Multiparametric Magnetic Resonance ImagingProstateProstate-Specific AntigenProstatic NeoplasmsAgedHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingRetrospective StudiesProstate-Specific AntigenGray zone PSAMRI fusion biopsyPIRADSProstate cancerProstate specific antigenProstate specific antigen density

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.