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Head-to-head comparison of [¹⁸F]F-PSMA-1007 PET/CT and [⁶⁸Ga]Ga-PSMA-11 PET/CT for intraprostatic tumour detection and localisation using histopathology as reference: A prospective single-centre diagnostic accuracy study

In brief

Fluorine-18 PSMA PET finds clinically significant prostate cancer in 98% of patients

In a prospective study of 50 men with high-risk prostate cancer, [¹⁸F]F-PSMA-1007 PET/CT detected clinically significant disease in 98% of patients, outperforming multiparametric MRI (96% sensitivity) and matching the 100% sensitivity of [⁶⁸Ga]Ga-PSMA-11. Both PSMA tracers showed similar accuracy, but all imaging methods were poor at identifying extraprostatic extension, highlighting a need for better staging tools.

Journal
European journal of nuclear medicine and molecular imaging (Q1)
Published
19 September 2026
Study design
Prospective / inception cohort
Evidence level
Level 2, Moderate (CEBM 2b)
Authors
Farid Gossili, Frederik Harving, Astrid Christine Petersen, Claus Madsen, Kirsten Bouchelouche, Niels Henrik Bruun, et al.
PMID
42762314
DOI
10.1007/s00259-026-08191-9

Why clinicians should know about it

Abstract

PURPOSE: Prostate-specific membrane antigen (PSMA) PET has emerged as a sensitive imaging modality for prostate cancer (PC), but its role in intraprostatic tumour localisation relative to multiparametric MRI (mpMRI) and differences between [¹⁸F]- and [⁶⁸Ga]-PSMA ligands remain unclear. This study compared the diagnostic performance of [¹⁸F]F-PSMA-1007 PET/CT, [⁶⁸Ga]Ga-PSMA-11 PET/CT, and mpMRI for intraprostatic tumour localisation and detection of clinically significant prostate cancer (csPC). METHODS: In this prospective single-centre study, patients with biopsy-proven high-risk PC undergoing radical prostatectomy were recruited. All patients underwent [¹⁸F]F-PSMA-1007 PET/CT and [⁶⁸Ga]Ga-PSMA-11 PET/CT. Following a protocol amendment, mpMRI was added as a secondary exploratory imaging modality and performed in a subset of patients prior to surgery. Histopathology was the reference standard; csPC was defined as ≥ISUP3 or ISUP2 with tertiary Gleason 5 pattern. Diagnostic performance was assessed on a per-patient and per-region basis, dividing the prostate into sextants and using mixed regression models to account for clustering. Secondary analyses evaluated the detection of pathological features beyond the prostate, including extraprostatic extension (EPE) and seminal vesicle invasion (SVI). RESULTS: Fifty patients were included in the analysis of PSMA PET/CT, and 45 patients had mpMRI. At the patient level, [¹⁸F]F-PSMA-1007 PET/CT, [⁶⁸Ga]Ga-PSMA-11 PET/CT and mpMRI demonstrated sensitivities of 98%, 100%, and 96%, respectively, for the detection of csPC, with corresponding diagnostic accuracies of 96%, 98%, and 93%, respectively. Of 300 sextants, 205 contained csPC. [¹⁸F]F-PSMA-1007 PET/CT identified csPC in 143/300 sextants (accuracy: 69.8%, 95%CI 64.0-75.6). [⁶⁸Ga]Ga-PSMA-11 PET/CT detected csPC in 136/300 sextants (accuracy: 67.8%, 95%CI 62.3-73.4). mpMRI identified csPC in 89/270 sextants (accuracy: 62.9%, 95%CI 56.3-69.4). PSMA PET ligands showed significantly higher sensitivity than mpMRI (p < 0.001), whereas mpMRI demonstrated higher specificity (p = 0.002). No significant differences were observed between [¹⁸F]F-PSMA-1007 and [⁶⁸Ga]Ga-PSMA-11. Detection of pathological features of local tumour extension was limited across all modalities. Sensitivity for EPE was 12%, 23%, and 9%, and sensitivity for SVI was 30%, 30%, and 14% for [¹⁸F]F-PSMA-1007 PET/CT, [⁶⁸Ga]Ga-PSMA-11 PET/CT, and mpMRI, respectively. CONCLUSION: PSMA PET/CT ligands provide higher sensitivity than mpMRI for intraprostatic tumour localisation, while no statistically significant differences in diagnostic performance were detected between [¹⁸F]- and [⁶⁸Ga]-PSMA ligands in this cohort. These findings support the potential complementary role of PSMA PET and mpMRI for preoperative intraprostatic tumour localisation in high-risk PC.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.