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Modeling of Acute Rectal Toxicity to Compare Two Patient Positioning Methods for Prostate Cancer Radiotherapy: Can
X Liu1, J Li1, S E Schild2
1School of Computing, Informatics and Decision Systems Engineering, Arizona State University, USA.
Modeling acute rectal toxicity can assess Intensity Modulated Radiation Therapy (IMRT) quality. A weak correlation may signal patient positioning errors, improving prostate cancer treatment accuracy.
Area of Science:
- Radiation Oncology
- Medical Physics
- Clinical Oncology
Background:
- Intensity Modulated Radiation Therapy (IMRT) offers dose reduction for prostate cancer patients.
- Accurate IMRT delivery is challenged by patient positioning errors.
- Monitoring IMRT quality is crucial for minimizing treatment toxicity.
Purpose of the Study:
- To evaluate the potential of modeling acute rectal toxicity for assessing IMRT protocol quality.
- To correlate planning dosimetry with clinical outcomes in prostate cancer patients undergoing IMRT.
Main Methods:
- Compared 79 patients receiving Image and Fiducial Markers Guided IMRT (FMIGRT) with 302 patients receiving trans-abdominal ultrasound guided IMRT (USGRT).
- Modeled rectal toxicity using Lyman Kutcher Burman (LKB) and Univariate Logistic Regression (ULR) models.
- Utilized Receiver Operating Characteristics (ROC) analysis and Area Under the Curve (AUC) to compare model performance.
Main Results:
- Observed grade ≥ 2 acute rectal toxicity was 20% for FMIGRT and 54% for USGRT.
- LKB model parameters for FMIGRT: TD50=56.8 Gy, slope m=0.093, exponent n=0.131.
- The FMIGRT ULR model showed good predictive performance (AUC=0.67), while the USGRT ULR model did not (AUC=0.5).
Conclusions:
- Modeling acute rectal toxicity provides a quantitative link between dosimetry and clinical toxicity.
- A weak correlation between modeled toxicity and actual outcomes may indicate patient positioning errors.
- This approach can serve as a quality assurance tool for IMRT delivery in prostate cancer.
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