Exploring the Correlation Between Multiparameters Detected in Primary Prostate Cancer using F‑18 PSMA‑1007 PET/MRI...

Area of Science:

• Oncology
• Radiology
• Medical Imaging

Background:

• Prostate cancer (PCa) evaluation benefits from advanced imaging techniques.
• Prostate-specific membrane antigen (PSMA) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) offers superior diagnostic capabilities compared to conventional MRI (cMRI).

Purpose of the Study:

• To assess the correlation of quantitative parameters derived from Fluorine-18 (F-18) PSMA-1007 PET/MRI in prostate cancer (PCa).
• To evaluate the predictive potential of these quantitative parameters for detecting metastases in PCa patients.

Main Methods:

• Retrospective analysis of 51 PCa patients undergoing F-18 PSMA-1007 PET/MRI.
• Calculation of apparent diffusion coefficient (ADC), maximum standardized uptake value (SUVmax), PSMA total lesion uptake (PSMA-TLU), and PSMA total volume (PSMA-TV) in primary tumors.
• Correlation analysis between ADC and other parameters, with Receiver Operating Characteristic (ROC) curve analysis to determine predictive cut-off values for metastases.

Main Results:

• Apparent diffusion coefficient (ADC) showed an inverse correlation with SUVmax, PSMA-TLU, and PSMA-TV (p < 0.0001 to 0.0050).
• Lower ADC values and higher SUVmax, PSMA-TLU, and PSMA-TV were significantly associated with metastatic disease (p < 0.001 to 0.033).
• PSMA-TLU/ADC and PSMA-TV/ADC demonstrated the highest predictive accuracy for lymph node metastases (sensitivity: 77.78%-100%; specificity: 71.43%-89.29%).

Conclusions:

• F-18 PSMA-1007 PET/MRI quantitative parameters, particularly the ratios involving ADC, enhance diagnostic accuracy for primary PCa lesions.
• The strong correlation between ADC, PSMA uptake parameters, and metastatic disease provides significant prognostic value for this imaging modality.
• This approach holds promise for improved detection and characterization of prostate cancer spread.