Article ; Online: Experimental Validation of a Real-Time Adaptive 4D-Optimized Particle Radiotherapy Approach to Treat Irregularly Moving Tumors.
International journal of radiation oncology, biology, physics
2022 Volume 115, Issue 5, Page(s) 1257–1268
Abstract: Purpose: Treatment of locally advanced lung cancer is limited by toxicity and insufficient local control. Particle therapy could enable more conformal treatment than intensity modulated photon therapy but is challenged by irregular tumor motion, ... ...
| Abstract | Purpose: Treatment of locally advanced lung cancer is limited by toxicity and insufficient local control. Particle therapy could enable more conformal treatment than intensity modulated photon therapy but is challenged by irregular tumor motion, associated range changes, and tumor deformations. We propose a new strategy for robust, online adaptive particle therapy, synergizing 4-dimensional optimization with real-time adaptive beam tracking. The strategy was tested and the required motion monitoring precision was determined. Methods and materials: In multiphase 4-dimensional dose delivery (MP4D), a dedicated quasistatic treatment plan is delivered to each motion phase of periodic 4-dimensional computed tomography (4DCT). In the new extension, "MP4D with residual tracking" (MP4DRT), lateral beam tracking compensates for the displacement of the tumor center-of-mass relative to the current phase in the planning 4DCT. We implemented this method in the dose delivery system of a clinical carbon facility and tested it experimentally for a lung cancer plan based on a periodic subset of a virtual lung 4DCT (planned motion amplitude 20 mm). Treatments were delivered in a quality assurance-like setting to a moving ionization chamber array. We considered variable motion amplitudes and baseline drifts. The required motion monitoring precision was evaluated by adding noise to the motion signal. Log-file-based dose reconstructions were performed in silico on the entire 4DCT phantom data set capable of simulating nonperiodic motion. MP4DRT was compared with MP4D, rescanned beam tracking, and internal target volume plans. Treatment quality was assessed in terms of target coverage (D95), dose homogeneity (D5-D95), conformity number, and dose to heart and lung. Results: For all considered motion scenarios and metrics, MP4DRT produced the most favorable metrics among the tested motion mitigation strategies and delivered high-quality treatments. The conformity was similar to static treatments. The motion monitoring precision required for D95 >95% was 1.9 mm. Conclusions: With clinically feasible motion monitoring, MP4DRT can deliver highly conformal dose distributions to irregularly moving targets. |
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| MeSH term(s) | Humans ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted/methods ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/radiotherapy ; Lung ; Tomography, X-Ray Computed ; Four-Dimensional Computed Tomography/methods |
| Language | English |
| Publishing date | 2022-12-01 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 197614-x |
| ISSN | 1879-355X ; 0360-3016 |
| ISSN (online) | 1879-355X |
| ISSN | 0360-3016 |
| DOI | 10.1016/j.ijrobp.2022.11.034 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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