Yongdo Yun, Min Cheol Han, Changhwan Kim, Chae-Seon Hong, Dong Wook Kim, H O Lee, Hojin Kim, Soorim Han, Hikaru Souda, Sung Hyun Lee, Yuya Miyasaka, Takeo Iwai, Jin Sung Kim
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引用次数: 0
Abstract
Background/aim: Log data from radiation treatment machines can play a crucial role in quality assurance by enabling the recalculation of the delivered dose distribution and identification of deviations in treatment delivery. This article proposes a novel method for recalculating the delivered dose distribution in carbon-ion radiation therapy using log data.
Materials and methods: The proposed approach leverages existing functionality in commercial treatment planning systems, thus eliminating the need for specialized in-house software for dose calculation and evaluation. The performed tests entail data generation from actual log files using the Digital Imaging and Communications in Medicine standard, biological dose calculations, and gamma evaluations.
Results: The log-based approach demonstrated notable advantages, including improved time efficiency and the ability to calculate three-dimensional biological doses. By recalculating the delivered dose distributions, our method improves quality assurance accuracy in carbon-ion radiation therapy. It complements conventional measurement-based patient-specific quality assurance methods, serving as a valuable addition to the arsenal of tools available for treatment evaluation.
Conclusion: We believe that our method has the potential to enhance the efficacy of patient-specific quality assurance and contribute significantly to the advancement of carbon-ion radiation therapy, thereby reinforcing the ongoing evolution of particle therapy.
期刊介绍:
IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management.
The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.