Evidence map›Paper›PMID 41870549›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Intraprostatic PSMA PET/MRI parameters and clinical markers for ISUP prediction and postoperative biochemical recurrence in patients with primary prostate cancer.

Holger Einspieler, Michael Nürnberger, Clemens P Spielvogel, Lukas Nics, Pascal A T Baltzer, Nicolai Huebner, Gero Kramer, Shahrokh F Shariat, Bernhard Grubmüller, Marcus Hacker and 1 more

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Article in European journal of nuclear medicine and molecular imaging, 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Holger EinspielerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
Michael NürnbergerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
Clemens P SpielvogelDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
Lukas NicsDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
Pascal A T BaltzerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna, Vienna, 1090, Austria.
Nicolai HuebnerDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Gero KramerDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Shahrokh F ShariatDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Bernhard GrubmüllerDepartment of Urology and Andrology, University Hospital Krems, Krems, Austria.
Marcus HackerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria.
Sazan RasulDepartment of Biomedical Imaging and Image-guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Währinger Gürtel 18-20, Vienna, 1090, Austria. sazan.rasul@meduniwien.ac.at.ORCID 0000-0003-2898-3232

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePSMA PET/MRI pairs high sensitivity for PSMA-avid lesions with superior soft-tissue contrast and provides quantitative metrics that may predict clinical outcomes of prostate cancer (PCa). We investigated whether intraprostatic PET-derived metrics and PSA-based variables predict histopathological ISUP grade and biochemical recurrence (BCR) after radical prostatectomy (RPE).

methodsMen with primary PCa who underwent [⁶⁸Ga]PSMA PET/MRI before RPE were retrospectively analyzed. PET-derived tumor metrics, initial PSA (iPSA), PSA density (PSAD), and ISUP grade were assessed for association with tumor aggressiveness and BCR. Discriminatory performance was evaluated using ROC AUCs. Multivariable logistic regression retained the better-performing variable within correlated pairs (e.g., SUVpeak vs. SUVmax). Kaplan–Meier and Cox models examined recurrence-free survival.

resultsAmong 101 men, all evaluated parameters differentiated low- (ISUP 1–2) from high-grade (ISUP 3–5) disease, with PET metrics showing the highest AUCs. In multivariable analysis, SUVpeak independently predicted high-grade disease (OR 1.3, 95% CI 1.1–1.5, p < 0.001). Follow-up was available for 71 patients (mean 3.2 ± 2.8 years); 36 (51%) developed BCR after 2.7 ± 2.6 years. For BCR prediction, all variables except SUVmax showed significant AUCs. In multivariable models, ISUP (OR 1.8, 95% CI 1.2–2.9, p = 0.01) and PSAD (OR 4.0, 95% CI 1.1–15.0, p = 0.039) remained significant. The combined model (ISUP + SUVpeak + PSAD) achieved an AUC of 0.788 (95% CI 0.678–0.898, p < 0.001). In Cox analysis, only high ISUP grade independently predicted time to BCR (HR 3.2, 95% CI 1.2–8.9, p = 0.02).

conclusionIntraprostatic PET metrics, especially SUVpeak, effectively assess tumor aggressiveness before RPE, while PSAD adds prognostic value for recurrence. Postoperative ISUP grade remains the strongest predictor of BCR. Combined imaging and PSA-based markers may improve risk stratification and warrant validation in prospective studies.

Indexed as

Antigens, SurfaceGlutamate Carboxypeptidase IIMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyProstatic NeoplasmsAgedBiomarkers, TumorHumansMaleMiddle AgedNeoplasm Recurrence, LocalPostoperative PeriodPrognosisProstatectomyProstate-Specific AntigenAntigens, SurfaceBiomarkers, TumorFOLH1 protein, humanGlutamate Carboxypeptidase IIProstate-Specific AntigenProstate cancerProstate specific antigenPSMA PETRisk stratificationTumor imaging

Identifiers

PMID41870549
PMCPMC13249655

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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.