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Abstract
Our objective was to determine the feasibility, diagnostic performance, and predictive value of 99mTc-MIP-1404 SPECT in patients undergoing baseline staging and assessment of eligibility for prostate-specific membrane antigen (PSMA)–targeted radiopharmaceutical therapy (RPT) for metastatic castration-resistant prostate cancer. Methods: Data of 46 patients undergoing 99mTc-MIP-1404 planar scintigraphy and SPECT/CT for staging and assessment of eligibility for 177Lu-PSMA RPT were retrospectively analyzed. Overall image quality was assessed, and images were visually analyzed for the presence and localization of pathologic uptake. Metastatic uptake was visually scored using a 3-point scale. 99mTc-MIP-1404 findings were compared with the results of posttherapeutic 177Lu-PSMA scans in patients subsequently commencing RPT (n = 35). The predictive and prognostic significance of uptake intensity in 99mTc-MIP-1404 scans was evaluated. Results: The image quality of 99mTc-MIP-1404 scans was rated as excellent in 98% of cases. Imaging results were concordant in 206 of 210 localizations, demonstrating almost perfect agreement with 177Lu-PSMA scans (κ = 0.957 [95% CI, 0.916–0.999]). Uptake intensity higher than liver uptake identified responders (P = 0.0115) and was associated with prolonged progression-free survival (median, 146 vs. 96 d; hazard ratio for progression, 0.3838 [95% CI, 0.1721–0.8556]; P = 0.0192). In multivariable analysis, 99mTc-MIP-1404 uptake higher than in liver emerged as an independent predictor of treatment response (odds ratio, 12.37 [95% CI, 1.613–203.3]; P = 0.0319). Nevertheless, 27% of responders demonstrated uptake no higher than that in the liver. Conclusion: 99mTc-MIP-1404 imaging is suitable for assessment of eligibility for RPT in patients with advanced metastatic castration-resistant prostate cancer. In particular, pretherapeutic uptake intensity is predictive of response to 177Lu-PSMA RPT.
Footnotes
Published online Feb. 6, 2025.
- © 2025 by the Society of Nuclear Medicine and Molecular Imaging.
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