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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Does variable RBE affect toxicity risks for mediastinal lymphoma patients? NTCP-based evaluation after proton therapy
Francesco Tommasino1, Giorgio Cartechini1, Roberto Righetto2
1Department of Physics, University of Trento, Povo, Italy; Trento Institute for Fundamental Physics and Applications (TIFPA), INFN National Institute for Nuclear Physics, Trento, Italy.
Intensity-modulated proton therapy (IMPT) for mediastinal lymphoma (ML) can lead to variable toxicity risks. Accounting for variable relative biological effectiveness (RBE) in treatment planning may help identify high-risk patients.
Area of Science:
- Radiation oncology
- Medical physics
- Oncology
Background:
- Mediastinal lymphoma (ML) predominantly affects young individuals, necessitating treatments that balance efficacy with minimized long-term toxicity.
- Modern therapeutic strategies aim for high survival rates and extended life expectancy, highlighting the critical need to reduce treatment-related side effects.
Purpose of the Study:
- To quantify the organ-specific toxicity risks in ML patients undergoing intensity-modulated proton therapy (IMPT).
- To evaluate the impact of variable relative biological effectiveness (RBE) on predicted normal tissue complication probabilities (NTCP).
- To identify patients at higher risk of treatment-related toxicities.
Main Methods:
- Treatment plans for ten ML patients were re-analyzed using a Monte Carlo code (TOPAS) to determine linear energy transfer (LET) and estimate variable RBE.
- Published NTCP models were employed to calculate toxicity risks for hypothyroidism, heart valve defects, coronary heart disease, and lung fibrosis.
- NTCP calculations were performed using both constant and variable RBE values, with individual radiosensitivity uncertainties addressed by sampling alpha/beta ratios.
Main Results:
- Variable RBE had a minimal effect on hypothyroidism risk for most patients, but increased it significantly (up to 24%) in three individuals.
- Lung fibrosis risk was only slightly impacted by variable RBE (maximum ~1% increase).
- Heart valve dysfunction risk showed a similar minor impact, except for one patient with a ~10% increase potentially linked to larger heart volume and D1 dose.
Conclusions:
- Utilizing NTCP models effectively identifies ML patients at elevated risk of treatment-related toxicities.
- Incorporating variable RBE into treatment plan evaluations may be beneficial for high-risk patient stratification.
- This approach aids in optimizing IMPT strategies to mitigate long-term adverse effects in young ML survivors.
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