Development and validation of a nomogram for predicting the likelihood of metastasis in prostate cancer patients undergoing Ga-68 PSMA PET/CT due to biochemical recurrence.

OBJECTIVE: To develop a nomogram based on commonly used clinical data for predicting the likelihood of metastasis in gallium-68 prostate-specific membrane antigen PET/computed tomography (Ga-68 PSMA PET/CT) scans of prostate cancer patients with confirmed biochemical recurrence (BCR). METHODS: One-hundred thirty-five ( n = 135) patients who underwent Ga-68 PSMA PET/CT due to BCR were included in the study. Predictors of metastasis in Ga-68 PSMA PET/CT were determined with multivariable logistic regression analysis. Coefficients derived from the regression model were used to develop a prediction nomogram. The performance of the prediction model was evaluated with receiver operating characteristic analysis. Internal validation was performed with 50 bootstrap resamples, and the nomogram's clinical benefit was assessed with decision curve analysis. RESULTS: Multivariable logistic regression analysis revealed that ISUP group, prostate-specific antigen (PSA) before PET and PSA doubling time were independent predictors of metastasis in Ga-68 PSMA PET/CT. A prediction nomogram was developed according to this model [the area under curve: 0.866; 95% confidence interval (CI), 0.788-0.944]. The best cutoff value of the nomogram-derived likelihood for predicting metastasis was 60%, with a bootstrap-corrected accuracy of 78.8%. An online version of the nomogram was implemented on pro-gram.nzm.co ( https://pro-gram.nzm.co ). CONCLUSION: The proposed nomogram provides a practical approach for predicting the likelihood of imaging-based metastasis according to Ga-68 PSMA PET/CT in patients with BCR, with results ≥60% being the most accurate cutoff for referring patients to Ga-68 PSMA PET/CT. If validated in a larger cohort, this tool can serve as a guide for the appropriate use of Ga-68 PSMA PET/CT.

Tc-99m pyrophosphate scintigraphy for cardiac amyloidosis: concordance between planar and SPECT/CT imaging.

The imaging protocol and the optimal cut-off points for quantitative assessment of technetium-99m pyrophosphate (Tc-99m PYP) cardiac amyloidosis scintigraphy remain controversial. The aim of this study was to evaluate the concordance between planar and SPECT images, and to investigate the contribution of SPECT/CT to diagnostic precision. All patients referred to our department for Tc-99m PYP cardiac imaging between April 2019 and April 2022 were included in the study. Heart-to-contralateral lung (H/CL) ratios were calculated from anterior planar images at both 1- and 3 h, and visual grading was done in SPECT/CT images at both time points. A total of 141 patients were included in the study (median age 59 years, 54% female). There was a strong positive correlation between H/CL ratios calculated at 1- and 3 h (Pearson's ρ = 0.842, p < 0.001). The highest level of concordance between planar and SPECT/CT images was achieved at a H/CL cut-off point of 1.5 for 1-h images, and 1.4 for 3-h images. SPECT/CT imaging contributed to diagnostic precision in both 1- and 3-h images by reducing the rate of equivocal results from 83% (n = 117) to 25% (n = 35), and from 77% (n = 108) to 27% (n = 38), respectively. Our findings have three implications: (1) planar imaging at both 1- and 3 h could be redundant, (2) a lower H/CL cut-off point for 3-h planar images could improve concordance between planar and SPECT imaging, and (3) SPECT/CT in both 1- and 3 h could improve the diagnostic precision by offering markedly reduced equivocal results.