Evidence map›Paper›PMID 42518499›Full record

ArticleEuropean urology open science2026

Identifying Candidates for Biopsy Omission in Prostate Cancer Using mpMRI and PSMA PET/CT.

Barış Esen, Yakup Kordan, Dilek Ertoy Baydar, Mehmet Onur Demirkol, Bengi Gürses, Metin Vural, Ahmet Furkan Sarıkaya, Umut Can Karaarslan, Mustafa Müdüroğlu, Serdar Madendere and 2 more

Abstract read
In one paragraph

Article in European urology open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Barış EsenDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Yakup KordanDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Dilek Ertoy BaydarDepartment of Pathology, Koc University Hospital, Istanbul, Türkiye.
Mehmet Onur DemirkolDepartment of Nuclear Medicine, Koc University Hospital, Istanbul, Türkiye.
Bengi GürsesDepartment of Radiology, Koc University Hospital, Istanbul, Türkiye.
Metin VuralRadiology Clinic, American Hospital, Istanbul, Türkiye.
Ahmet Furkan SarıkayaDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Umut Can KaraarslanDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Mustafa MüdüroğluDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Serdar MadendereRadiology Clinic, American Hospital, Istanbul, Türkiye.
Derya TilkiDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.
Tarık EsenDepartment of Urology, Koc University Hospital, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The superior diagnostic capabilities of novel imaging modalities such as multiparametric prostate magnetic resonance imaging MRI (mpMRI) and prostate-specific membrane-antigen positron emission tomography/computed tomography (PSMA PET/CT) might provide data for consideration of a prostate biopsy-omitting approach in a selected subgroup of patients with prostate cancer. Methods: Patients who underwent radical prostatectomy (RP) for prostate cancer between December 2015 and December 2024 were retrospectively evaluated, and only patients who underwent mpMRI and PSMA PET/CT were included in the study. After recording patient characteristics (age, prostate-specific antigen [PSA], PSA density [PSAD]), mpMRI characteristics (Prostate Imaging Reporting And Data System [PI-RADS] score, number of lesions, size of the index lesion), and PSMA PET characteristics (prostatic SUVmax ≥12 = PRIMARY 5), adverse pathology (≥pT3a or pN1 or GG≥3) rates at RP were investigated. Multivariable logistic regression analysis was performed to determine the independent predictors of adverse pathology. Results: The median age and serum PSA of 413 patients included in the study were 64.9 years (interquartile range [IQR]: 58.3-69.9) and 7.0 ng/dl (IQR: 4.9-9.4). The RP pathology revealed that 248 out of 413 patients (60%) had adverse features (58 out of 413 had GG4 or 5 disease). The multivariable analysis revealed that age, serum PSAD, PI-RADS-5 score on mpMRI, and prostatic SUVmax ≥12 (PRIMARY-5) on PSMA PET were independent predictors of adverse pathology. Based on these results, the combination of PSAD, MRI, and PSMA PET has consistently resulted in adverse pathology: PSAD >0.15 ng/ml/cc AND PI-RADS-5 AND PRIMARY 5. Conclusions: A combination of serum PSAD, PI-RADS score on mpMRI, and PRIMARY score on PSMA PET/CT has consistently resulted in adverse pathology, indicating consideration of a biopsy-omitting approach if further studies endorse these findings.

Indexed as

Adverse pathologyBiopsympMRIPETPredicting factorsProstate cancerPSMA

Identifiers

PMID42518499
PMCPMC13382317

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