研究目的
Investigating the potential of combined proton-photon therapy treatments in radiation oncology, with a focus on fractionation and conditions for added value.
研究成果
Combined proton-photon therapy can outperform single modality treatments due to competing constraints and fractionation effects. For 5 out of 17 patients, combined treatments improved BED equivalent dose by up to 14.8%, and for 3 patients, they offered near-optimal alternatives with fewer proton fractions. This indicates significant potential for better resource allocation and treatment efficacy in radiation oncology.
研究不足
The approach excludes spatiotemporal optimization and relies on given proton and photon dose distributions. It is tested only on liver patients, so applicability to other tumor sites is not confirmed. Robustness of combined plans is not precisely measured, and the model does not account for tumor repopulation.
1：Experimental Design and Method Selection:
The study uses the Biologically Effective Dose (BED) model to formulate and solve combined modality optimization problems. It involves analytical derivations and numerical simulations to demonstrate conditions for optimal combined treatments.
2：Sample Selection and Data Sources:
Real patient data from 17 liver patients treated at Massachusetts General Hospital (MGH) are used. Data include DICOM format files with proton and photon dose distributions.
3：List of Experimental Equipment and Materials:
MATLAB R2017b software, CERR (Computation Environment for Radiotherapy Research) toolbox, a 2.6Ghz Intel-Core i5 PC with 8GB RAM.
4：6Ghz Intel-Core i5 PC with 8GB RAM.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The optimization problem is solved using the patternsearch function in MATLAB for various fraction combinations (e.g., Nγ + Np = 15). Dose per fraction constraints are set (dmin = 1 Gy/fx, dmax = 10 Gy/fx).
5：5). Dose per fraction constraints are set (dmin = 1 Gy/fx, dmax = 10 Gy/fx).
Data Analysis Methods:
5. Data Analysis Methods: Results are analyzed in terms of BED equivalent dose, comparing single and combined modality treatments. Statistical methods include linear programming and Generalized Pattern Search (GPS) algorithm.
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