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Assessing Therapeutic Response to Radium-223 with an Automated Bone Scan Index among Metastatic Castration-Resistant
Kazuhiro Kitajima1, Junpei Kuyama2, Takashi Kawahara3
1Department of Radiology, Hyogo Medical University, Hyogo 663-8131, Japan.
Change in automated bone scan index (aBSI) is a useful imaging biomarker for assessing treatment response and predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients receiving radium-223. This finding aids in monitoring therapeutic effectiveness and patient outcomes.
Area of Science:
- Nuclear Medicine
- Oncology
- Radiopharmaceuticals
Background:
- Metastatic castration-resistant prostate cancer (mCRPC) poses significant treatment challenges.
- Radium-223 (Ra-223) is a targeted alpha therapy used for mCRPC with bone metastases.
- Accurate assessment of treatment response and survival prediction is crucial for managing mCRPC patients.
Purpose of the Study:
- To evaluate the automated bone scan index (aBSI) as an imaging biomarker for treatment response.
- To assess the utility of aBSI change in predicting overall survival (OS) in mCRPC patients treated with Ra-223.
- To correlate aBSI changes with established serum markers like alkaline phosphatase (ALP) and prostate-specific antigen (PSA).
Main Methods:
- Retrospective analysis of 205 mCRPC patients treated with Ra-223.
- Bone scintigraphy performed before and after Ra-223 treatment to calculate aBSI.
- Statistical analysis including Cox proportional-hazards model and Kaplan-Meier curves to assess OS.
- Correlation analysis between changes in aBSI, ALP, and PSA levels.
Main Results:
- A decline in aBSI was observed in 52.7% of patients post-treatment.
- Changes in PSA, aBSI, and ALP were all identified as significant prognostic factors for OS.
- aBSI change demonstrated a hazard ratio of 2.22 (95% CI 1.43-3.59, p=0.0003) for OS.
Conclusions:
- aBSI change is a valuable imaging biomarker for assessing treatment response in mCRPC patients undergoing Ra-223 therapy.
- aBSI serves as a significant predictor of overall survival in this patient population.
- Integrating aBSI assessment with serum markers can enhance treatment monitoring and prognostic accuracy.
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