Evidence map›Paper›PMID 40456968›Full record

ArticleProstate cancer and prostatic diseases2026

Tailored use of PSA density according to multiparametric MRI index lesion location: results of a large, multi-institutional series.

Leonardo Quarta, Armando Stabile, Francesco Pellegrino, Pietro Scilipoti, Mattia Longoni, Donato Cannoletta, Paolo Zaurito, Alfonso Santangelo, Alessandro Viti, Francesco Barletta and 12 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Prostate cancer and prostatic diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Leonardo QuartaUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0009-0008-9523-3400
Armando StabileUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy. stabile.armando@hsr.it.
Francesco PellegrinoUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0002-7828-6876
Pietro ScilipotiUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Mattia LongoniUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0002-2613-2306
Donato CannolettaUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paolo ZauritoUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alfonso SantangeloUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alessandro VitiUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco BarlettaUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID http://orcid.org/0000-0003-3585-3217
Simone ScuderiUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Riccardo LeniUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Antony PellegrinoUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Elio MazzoneUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Luigi NoceraUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giorgio BrembillaDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco De CobelliDepartment of Radiology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Robert Jeffrey KarnesDepartment of Urology, Mayo Clinic, Rochester, MN, USA.
Morgan RouprêtSorbonne University, GRC 5 Predictive Onco-Uro, AP-HP, Urology, Pitie-Salpetriere Hospital, Paris, France.
Francesco MontorsiUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Giorgio GandagliaUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Alberto BrigantiUnit of Urology/Division of Oncology, Gianfranco Soldera Prostate Cancer Lab, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of prostate-specific antigen density (PSAd) in combination with multiparametric magnetic resonance imaging (mpMRI) of the prostate can improve accuracy of the prostate cancer (PCa) diagnostic pathway. However, it is not clear whether the performance characteristics of PSAd vary according to the index lesion location (ILL) on mpMRI.

methodsOverall, 2140 patients with positive mpMRI (prostate imaging reporting and data system [PI-RADS] ≥ 3) underwent mpMRI-targeted biopsy (TBx) plus systematic biopsy (SBx) at three tertiary referral centers. Multivariable logistic regression analysis (MVA) tested the interaction between PSAd and ILL (peripheral zone [PZ] vs transitional zone [TZ]) in predicting clinically significant PCa (csPCa, defined as ISUP grade group ≥2) at TBx. Non-parametric locally weighted scatterplots smoothing approach (LOWESS) explored the relationship between PSAd and csPCa according to ILL and stratifying by PI-RADS score.

resultsMedian PSA was 6.7 ng/ml. ILL was PZ and TZ in 77% and 23% patients, respectively. Overall, 39% of csPCa cases were diagnosed at TBx. The association between PSAd and csPCa varied according to ILL (interaction test: p < 0.01). In patients with PI-RADS 3 lesions, csPCa incidence was <10% in cases of PSAd values < 0.05 ng/ml/ml and <0.13 ng/ml/ml for PZ and TZ lesions, respectively. Differently, in patients with PI-RADS ≥ 4, csPCa incidence was ≥20% regardless of PSAd value and ILL.

conclusionsThe likelihood of detecting csPCa in patients with PI-RADS 3 lesions is influenced by the combination of PSAd and ILL. Specifically, patients with PZ and TZ PI-RADS 3 lesions have an increased risk of csPCa for PSAd values ≥ 0.05 ng/ml/ml and ≥0.13 ng/ml/ml, respectively. Conversely, patients with PI-RADS ≥ 4 lesions have a non-negligible risk of csPCa regardless of PSAd and ILL.

Indexed as

Multiparametric Magnetic Resonance ImagingProstate-Specific AntigenProstatic NeoplasmsAgedHumansImage-Guided BiopsyMaleMiddle AgedNeoplasm GradingRetrospective StudiesProstate-Specific Antigen

Identifiers

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Registered trials

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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.