ArticleNuclear medicine and molecular imaging2025
Exploring the Correlation Between Multiparameters Detected in Primary Prostate Cancer using F‑18 PSMA‑1007 PET/MRI and their Potential for Predicting Metastasis.
Article in Nuclear medicine and molecular imaging, 2025. 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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10 authors.
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Abstract
Purpose: Prostate-specific membrane antigen (PSMA) Positron emission tomography/magnetic resonance imaging (PET/MRI) surpasses conventional MRI (cMRI) in prostate cancer (PCa) evaluation. Our objective is to evaluate correlation of quantitative parameters in PCa using Fluorine-18 (F-18) PSMA-1007 PET/MRI and their potential for predicting metastases. Methods: This retrospective study included 51 PCa patients. Apparent diffusion coefficient (ADC), maximum standardized uptake value (SUVmax), PSMA total lesion uptake (PSMA-TLU), and PSMA total volume (PSMA-TV) were calculated in primary tumor. Correlation of ADC with other parameters was analyzed. Receiver Operating Characteristic curve analysis was conducted to determine optimal cut-off values for predicting metastases. Results: ADC inversely correlated with SUVmax, PSMA-TLU, and PSMA-TV ( Conclusion: F-18 PSMA-1007 PET/MRI may improve diagnostic accuracy for primary PCa lesions by utilizing the inverse relationship between ADC and other parameters. Moreover, a strong correlation between such parameters and presence of metastasis holds prognostic value of this modality.
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