Purpose This prospective imaging trial was designed to compare [Ga-68]PSMA-11 PET/CT with multiparametric MRI (mpMRI) in parallel in men with suspicion of prostate cancer (PCa) after at least one previous negative biopsy (ClinicalTrials.gov: NCT05297162; GR-2018-12366240). Materials and methods Between April 2022 and June 2025, we enrolled 130 patients who met the inclusion criteria and completed protocol investigations. Target lesions were defined based on PI-RADS v2.1 for mpMRI and PRIMARY Score, SUVmax and SUVratio for [Ga-68]PSMA-11 PET/CT. Findings were statistically correlated with pathology results. Subsequently, we developed a nomogram to predict clinically significant PCa (csPCa), defined as International Society of Urological Pathology [ISUP] grade >= 2, using Boruta's algorithm for variable selection. Results Median age in our cohort was 65.5 years (range, 50.5-82.2) and median PSA 9.7 ng/ml (range, 4-35). According to pathology, 20 patients (15.4%) had csPCa, while most had negative biopsies (95;73%). Median SUVmax and SUVratio were 3.9 (range, 1.9-49.9) and 1.5 (range, 1-17.3), respectively, with optimal cut-offs of SUVmax > 6 and SUVratio >= 2.8. Diagnostic accuracy for csPCa was significantly higher for PRIMARY score than for PI-RADS (92% vs. 83%; p = 0.0344). Clinical and imaging variables were significantly correlated with csPCa (p < 0.01), with PSA density, PRIMARY score, SUVratio, and PI-RADS emerging as independent predictors. Based on these findings, we developed the PRIMER (PSA density, Radiological Index, Metabolic Evaluation, Re-biopsy setting) nomogram to assess csPCa likelihood, achieving an AUC of 0.8957 in the training set. Conclusions [Ga-68]PSMA-11 PET/CT outperformers mpMRI in the re-biopsy setting. The developed PRIMER nomogram can predict csPCa likelihood before biopsy.

[68Ga]PSMA-11 PET/CT vs. mpMRI in patients with a high suspicion of prostate cancer and previous negative biopsy: head to head, parallel, prospective trial (PROSPET-BX)

Colombo, Piergiuseppe;Fasulo, Vittorio;Paciotti, Marco;Laghi, Andrea;Buffi, Nicolò Maria;Lughezzani, Giovanni
2026-01-01

Abstract

Purpose This prospective imaging trial was designed to compare [Ga-68]PSMA-11 PET/CT with multiparametric MRI (mpMRI) in parallel in men with suspicion of prostate cancer (PCa) after at least one previous negative biopsy (ClinicalTrials.gov: NCT05297162; GR-2018-12366240). Materials and methods Between April 2022 and June 2025, we enrolled 130 patients who met the inclusion criteria and completed protocol investigations. Target lesions were defined based on PI-RADS v2.1 for mpMRI and PRIMARY Score, SUVmax and SUVratio for [Ga-68]PSMA-11 PET/CT. Findings were statistically correlated with pathology results. Subsequently, we developed a nomogram to predict clinically significant PCa (csPCa), defined as International Society of Urological Pathology [ISUP] grade >= 2, using Boruta's algorithm for variable selection. Results Median age in our cohort was 65.5 years (range, 50.5-82.2) and median PSA 9.7 ng/ml (range, 4-35). According to pathology, 20 patients (15.4%) had csPCa, while most had negative biopsies (95;73%). Median SUVmax and SUVratio were 3.9 (range, 1.9-49.9) and 1.5 (range, 1-17.3), respectively, with optimal cut-offs of SUVmax > 6 and SUVratio >= 2.8. Diagnostic accuracy for csPCa was significantly higher for PRIMARY score than for PI-RADS (92% vs. 83%; p = 0.0344). Clinical and imaging variables were significantly correlated with csPCa (p < 0.01), with PSA density, PRIMARY score, SUVratio, and PI-RADS emerging as independent predictors. Based on these findings, we developed the PRIMER (PSA density, Radiological Index, Metabolic Evaluation, Re-biopsy setting) nomogram to assess csPCa likelihood, achieving an AUC of 0.8957 in the training set. Conclusions [Ga-68]PSMA-11 PET/CT outperformers mpMRI in the re-biopsy setting. The developed PRIMER nomogram can predict csPCa likelihood before biopsy.
2026
68Ga-PSMA-11
Clinically significant cancer
Diagnostic accuracy
Multiparametric MRI
PET/CT
Prostate biopsy
Prostate cancer
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/106708
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