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Detecting and Locating the Site of Local Relapse Using 18F-PSMA-1007 Imaging After Primary Treatment of 135 Prostate Cancer Patients—Potential Impact on PSMA-Guided Radiation Therapy.
- Source :
- Molecular Imaging & Biology; Apr2023, Vol. 25 Issue 2, p375-383, 9p
- Publication Year :
- 2023
-
Abstract
- Purpose: Due to limited imaging options, the visualization of a local relapse of prostate cancer used to pose a considerable challenge. However, since the integration of <superscript>18</superscript>F-PSMA-1007-PET/CT into the clinic, a relapsed tumor can now easily be detected by hybrid imaging. The present study aimed to evaluate and map the allocate relapse in a large cohort of prostate cancer patients focusing on individual patient management conclusions for radiation therapy. Procedures: The current study included 135 men with prostate cancer after primary treatment who underwent <superscript>18</superscript>F-PSMA-1007-PET/CT due to biochemical relapse detecting a local relapse. Imaging data were reassessed and analyzed with regard to relapse locations. For the correlation of tumor foci with clinical data, we used binary logistic regression models as well as the Kruskal–Wallis test and Mann–Whitney test. Results: In total, 69.6% of all patients (mean age: 65 years) underwent prostatectomy while 30.4% underwent radiation therapy. PET imaging detected most frequently a unifocal relapse (72.6%). There was a statistically significantly higher rate of ipsilateral cases among the relapsed tumors. Comparing both treatment approaches, tumors relapsed most commonly within the posterior region after surgery and transition/peripheral zone after radiation therapy, respectively. Conclusions: The present study confirms that <superscript>18</superscript>F-PSMA-1007-PET/CT is highly suitable for the localization and allocation of a local relapse in patients with prostate cancer. The data enable further optimizing dose prescriptions and target volume delineations of radiation therapy in the future. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15361632
- Volume :
- 25
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Molecular Imaging & Biology
- Publication Type :
- Academic Journal
- Accession number :
- 162358133
- Full Text :
- https://doi.org/10.1007/s11307-022-01766-6