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Updated: Jul 22, 2026

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
First-Strike Rapid Predictive Dosimetry and Dose Response for 177Lu-PSMA Therapy in Metastatic Castration-Resistant
Yung Hsiang Kao1, Nadia Falzone2, Michael Pearson3
1Department of Nuclear Medicine, Royal Melbourne Hospital, Parkville, Victoria, Australia; yung.kao@mh.org.au.
This study introduces a rapid, personalized dosimetry schema for 177Lu-PSMA-I&T in prostate cancer, improving treatment prediction and optimizing radiation doses for better patient outcomes.
Area of Science:
- Nuclear Medicine
- Medical Physics
- Oncology
Background:
- Metastatic castration-resistant prostate cancer (mCRPC) treatment often relies on empirical dosimetry.
- Personalized predictive dosimetry can optimize radionuclide therapy efficacy and safety.
Purpose of the Study:
- To develop and validate a rapid, personalized predictive dosimetry schema for 177Lu-PSMA-I&T in mCRPC.
- To supersede traditional empiric prescription with clinically meaningful predicted absorbed doses for first-strike optimization.
Main Methods:
- Utilized prostate-specific membrane antigen (PSMA) PET for dosimetric simulation, capturing tumor, marrow, and kidney interplay.
- Integrated radiation principles (fractionation, heterogeneity, dose constraints) into a user-friendly, open-source spreadsheet calculator.
- Sampled tissue radioconcentrations and clinical input for rapid, accurate dosimetry.
Main Results:
- Established a first-strike mean tumor-absorbed dose threshold of >10 Gy for prostate-specific antigen (PSA) response.
- Identified a threshold of ≥20 Gy for hypothetical zero PSA, correlating metastasis-specific dose with PSA decrease.
- Predicted mean first-strike prescription was 11.0 ± 4.0 GBq, constrained by marrow dose rate.
Conclusions:
- The rapid schema is feasible for real-world theranostics units, exceeding current best practices.
- Dosimetric thresholds and predictive parameters rationalize patient-specific prescriptions.
- The framework can be applied to other systemic radionuclide therapies.
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