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The Importance of Quasi-4D Path-Integrated Dose Accumulation for More Accurate Risk Estimation in Stereotactic Liver
Michael L Taylor1, Unjin A Yeo2, Jeremy Supple3
1School of Applied Sciences and Health Innovations Research Institute, RMIT University, Melbourne, Australia Physical Sciences, Peter MacCallum Cancer Centre, East Melbourne, Australia michael.taylor@rmit.edu.au.
A new quasi-4-dimensional method improves radiation dose calculation accuracy for liver stereotactic body radiotherapy. This approach accounts for organ deformation, leading to better risk estimation for normal tissue complications and radiation-induced cancer.
Area of Science:
- Radiation Oncology
- Medical Physics
- Radiotherapy Planning
Background:
- Intrafraction organ motion significantly impacts radiation dose accuracy.
- Conventional 3D dose calculations may not adequately account for organ deformation during treatment.
- Accurate dose estimation is crucial for predicting normal tissue complication probabilities (NTCP) and stochastic risks.
Purpose of the Study:
- To demonstrate a quasi-4-dimensional (quasi-4D) method for improved risk estimation in radiotherapy.
- To compare dose calculations and risk predictions between conventional 3D and quasi-4D methods for liver stereotactic body radiotherapy (SBRT).
- To evaluate the impact of dose calculation method on NTCP and stochastic risks for radiation-induced carcinogenesis and cardiac complications.
Main Methods:
- Conventional 3D and quasi-4D dose calculations were performed using dose warping for dose accumulation.
- The study included patients with liver metastases undergoing SBRT (42 Gy in 6 fractions).
- NTCP and stochastic risks were evaluated for healthy peripheral structures, including cardiac organs and large bowel.
Main Results:
- Conventional 3D dose computation led to significant dose under- or overestimation for organs at risk (e.g., kidneys, large bowel, duodenum).
- Cardiac complication risks were underestimated by >20% with the 3D approach.
- Discrepancies in excess relative risk (ERR) ranged up to ~30%, with significant differences in radiocarcinogenesis risk prediction between 3D and 4D methods.
Conclusions:
- Quasi-4D dose calculation provides more accurate dose estimates compared to conventional 3D methods for liver SBRT.
- The 3D approach can lead to substantial inaccuracies in dose delivery and risk assessment.
- Improved dose estimation using quasi-4D methods is vital for understanding dose-response relationships in hypofractionated radiotherapy and optimizing patient outcomes.
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