Evidence map›Paper›PMID 42591245›Full record

ArticleFrontiers in nuclear medicine2026

MRI-derived T stage predicts nodal positivity on PSMA PET/CT in high-risk primary prostate cancer.

Michael Courtney, Robert Whiriskey, Ciaran Johnston, Niall Sheehy

Abstract read
In one paragraph

Article in Frontiers in nuclear medicine, 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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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Michael CourtneyDepartment of Nuclear Medicine, St. James's Hospital, Dublin, Ireland.
Robert WhiriskeyDepartment of Nuclear Medicine, St. James's Hospital, Dublin, Ireland.
Ciaran JohnstonDepartment of Nuclear Medicine, St. James's Hospital, Dublin, Ireland.
Niall SheehyDepartment of Nuclear Medicine, St. James's Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: We evaluated whether Magnetic Resonance Imaging (MRI)-Derived T Stage independently predicts nodal disease on Prostate-Specific Membrane Antigen (PSMA) PET/CT in patients with high-risk primary prostate cancer, and developed a predictive model for clinical decision support. Materials and methods: MRI-derived T Stage, Prostate-Specific Antigen (PSA), Gleason score, age and PSMA node status were analysed using univariable and multivariable logistic regression in 152 men with high-risk primary prostate cancer who underwent pre-treatment multiparametric MRI and PSMA PET/CT. Model performance was assessed with area under the receiver operating characteristic (ROC) curve (AUC), calibration plots, and decision curve analysis. Subgroup analyses evaluated Gleason 3 + 4 and 4 + 3 disease separately. Results: MRI T3b and T4 stages were independently and significantly associated with increased risk of PSMA-positive nodal disease ( Conclusion: MRI-derived T stage T3b disease is a strong independent predictor of PSMA-positive nodal disease. These findings support guideline-based staging criteria and support the integration of MRI-derived T Stage into PSMA PET/CT triage workflows.

Indexed as

MRInuclear medicineprostate cancerPSMA PET/CTrisk stratification

Identifiers

PMID42591245
PMCPMC13461585

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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.