Publications by authors named "I Rauscher"
Prostate-specific membrane antigen (PSMA)-targeted positron emission tomography (PET) has improved localization of prostate cancer (PC) lesions in biochemical recurrence (BCR) for salvage radiotherapy (SRT). We conducted a retrospective review of patients undergoing F-rhPSMA-7 or F-flotufolastat (F-rhPSMA-7.3)-PET-guided SRT compared with conventional-SRT (C-SRT) without PET.
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- A study was conducted to evaluate the effects of 4-week vs. 6-week treatment intervals for Lu-labeled prostate-specific membrane antigen-targeted radioligand therapy in patients with metastatic castration-resistant prostate cancer (mCRPC).
- The results showed that the 4-week interval led to a higher PSA response (47.8% vs. 21.7%) and longer PSA-progression-free survival (26.0 weeks vs. 18.0 weeks), but the overall survival rates were not significantly different (15.1 months vs. 18.4 months).
- The 4-week treatment increased the risk of blood count reductions compared to the 6-week interval, suggesting a need for more research to
Prostate-specific membrane antigen (PSMA)-targeted radioguided surgery (RGS) is evolving as a new treatment modality for patients with early biochemical recurrence of prostate cancer and disease limited to locoregional lymph nodes on PSMA-ligand PET/CT. Nevertheless, the pattern of failure (locoregional vs. systemic) after PSMA RGS remains unknown.
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- The study investigates how to predict individualized radiation doses for treating metastatic castration-resistant prostate cancer using theranostics, focusing on the variations within organs rather than just organ-level estimates.
- It involves 23 patients and analyzes pre-treatment PET scans alongside post-therapy imaging to compare how the distribution of the PET tracer correlates with the absorbed radiation doses in the kidneys, liver, and spleen.
- Results showed inconsistencies between the PET imaging and dose maps, with deep learning techniques providing more accurate voxel-wise dose predictions than traditional methods, indicating that intra-organ variations significantly impact treatment planning.