The Value of PSMA-RADS Version 2.0 in the Assessment of Pulmonary Metastases in Patients With Prostate Cancer and the Improvement of Differential Diagnosis Efficiency by PSMA PET/CT Parameters.

Abstract

The aim of this study was to investigate the application of PSMA-RADS version 2.0 in assessment of pulmonary metastases in patients with prostate cancer and whether PSMA PET/CT parameters provide incremental value. From October 2016 to July 2023, PC patients with pulmonary opacities (including pulmonary metastases, lung cancer, and pulmonary benign opacities) who underwent Al 18 F-PSMA-BCH PET/CT scans were retrospectively analyzed. CT imaging characteristics, including the longest diameter, density, smoothness, lobulation, pleural retraction, and vacuole sign, as well as PET parameters including SUV max and tumor-to-background ratio, were measured and analyzed. Additionally, the pulmonary PSMA-RADS score for each patient was determined. Independent predictors of pulmonary metastases were identified through univariate analysis and multivariate logistic regression analysis, which were utilized to construct a parallel diagnostic test. The differential diagnostic performances were evaluated using receiver operating characteristic analysis. A total of 148 pulmonary opacities from 96 patients were retrospectively included. The number of pulmonary benign opacities, lung cancer, and pulmonary metastases were 48 (32.4%), 20 (13.5%), and 80 (54.1%), respectively. The number of opacities across different PSMA-RADS scores from 2 to 5 was 8 (5.4%), 88 (59.5%), 7 (4.7%), and 45 (30.4%). SUV max and smooth edges were independent predictors of pulmonary metastases (both P < 0.05), and the AUC of the parallel test for these 2 parameters was 0.86 (95% confidence interval: 0.79, 0.94; P < 0.001). Furthermore, the diagnostic accuracy of the parallel test across PSMA-RADS score from 2 to 5 was 85.7%, 79.6%, 100%, and 92.9%, respectively. Al 18 F-PSMA-BCH PET/CT parameters were helpful in differentiating pulmonary metastases in PC patients and provided incremental value when integrated with PSMA-RADS version 2.0.