Evidence map›Paper›PMID 41718112›Full record

ArticleMedical sciences (Basel, Switzerland)2026

Diagnostic Accuracy of PSMA-PET/CT vs. mpMRI in Primary Staging of Intermediate- and High-Risk Prostate Cancer.

Vanessa Talavera Cobo, Carlos Andres Yánez Ruiz, Mario Daniel Tapia Tapia, Andres Calva Lopez, Carmina Alejandra Muñoz Bastidas, Francisco Javer Ancizu Marckert, Marcos Torres Roca, Luis Labairu Huerta, Daniel Sanchez Zalabardo, Fernando Jose Diez-Caballero Alonso and 3 more

Abstract readComparative Study
In one paragraph

Article in Medical sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Vanessa Talavera CoboUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0009-0000-2425-9795
Carlos Andres Yánez RuizUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Mario Daniel Tapia TapiaUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Andres Calva LopezUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0009-0006-2503-9368
Carmina Alejandra Muñoz BastidasUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0009-0000-1175-5706
Francisco Javer Ancizu MarckertUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Marcos Torres RocaUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Luis Labairu HuertaUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-3882-4203
Daniel Sanchez ZalabardoUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0009-0003-1803-580X
Fernando Jose Diez-Caballero AlonsoUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Francisco Guillen-GrimaDepartment of Preventive Medicine, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-9749-8076
Jose E Robles GarcíaUrology Department, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0001-5698-641X
Bernardino Miñana-LópezUrology Department, Clínica Universidad de Navarra, 28027 Madrid, Spain.ORCID 0000-0001-7745-5650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate-specific membrane antigen (PSMA) is markedly overexpressed in prostate cancer (PCa), and there is growing evidence to support its usefulness in initial diagnostic assessments. This study compares the diagnostic performance of PSMA positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (mpMRI) in evaluating seminal vesicle invasion (SVI), extraprostatic extension (EPE), and pelvic lymph node involvement before radical prostatectomy.

methodsA retrospective, single-institution analysis was performed. From a cohort of 325 patients who underwent radical prostatectomy between June 2022 to November 2024, 85 had undergone preoperative PSMA PET/CT for intermediate- and high-risk disease at biopsy, forming our study group. Two blinded specialists, one in radiology and one in nuclear medicine, independently interpreted the scans, using histopathological results as the reference standard. The primary outcome was diagnostic accuracy for T- and N-stage classification, while the secondary outcomes included the correct identification of the index lesion and comparative performance for each modality.

resultsThe study cohort comprised patients with intermediate-to-high-risk prostate cancer (median age: 66 years; median PSA level: 11.6 ng/mL; median PSA density: 0.3 ng/mL/cm

conclusionsIn this select cohort, PSMA PET/CT demonstrated greater accuracy than MRI for locoregional staging in patients with intermediate-to-high-risk prostate cancer (PCa). However, the generalizability of these findings is limited by the retrospective design and potential selection bias. These results suggest that PSMA PET/CT may have a valuable role in the initial staging workflow, but this needs to be confirmed in larger, prospective studies. An exploratory analysis suggested a potential age-dependent pattern, but this requires confirmation in larger studies.

Indexed as

Antigens, SurfaceGlutamate Carboxypeptidase IIMagnetic Resonance ImagingPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm StagingProstatectomyRetrospective StudiesAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IIdiagnostic accuracyextraprostatic extensionmagnetic resonance imaging (MRI)prostate cancerPSMA PET/CTradical prostatectomyseminal vesicle invasionstaging

Identifiers

PMID41718112
PMCPMC12921803

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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.