Validation of robust radiobiological optimization algorithms based on the mixed beam model for intensity-modulated carbon-ion therapy

• Published in: PloS one Vol. 18; no. 7; p. e0288545
• Main Authors: Yagi, Masashi, Tsubouchi, Toshiro, Hamatani, Noriaki, Takashina, Masaaki, Saruwatari, Naoto, Minami, Kazumasa, Wakisaka, Yushi, Fujitaka, Shinichiro, Hirayama, Shusuke, Nihongi, Hideaki, Hasegawa, Azusa, Koizumi, Masahiko, Shimizu, Shinichi, Ogawa, Kazuhiko, Kanai, Tatsuaki
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 28.07.2023
• Subjects: Algorithms; Analysis; Atoms & subatomic particles; Biological effects; Biology and Life Sciences; Cancer; Carbon; Care and treatment; Complications and side effects; Computer applications; Computing costs; Ion beams; Ions; Mathematical optimization; Medicine and Health Sciences; Optimization; Optimization algorithms; Patient outcomes; Physical Sciences; Position errors; Radiation; Radiation therapy; Radiotherapy; Relative biological effectiveness (RBE); Research and Analysis Methods; Robustness (mathematics); Sensitivity enhancement; Japan; Sweden
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0288545

Currently, treatment planning systems (TPSs) that can compute the intensities of intensity-modulated carbon-ion therapy (IMCT) using scanned carbon-ion beams are limited. In the present study, the computational efficacy of the newly designed IMCT algorithms was analyzed for the first time based on the mixed beam model with respect to the physical and biological doses; moreover, the validity and effectiveness of the robust radiobiological optimization were verified. A dose calculation engine was independently generated to validate a clinical dose determined in the TPS. A biological assay was performed using the HSGc-C5 cell line to validate the calculated surviving fraction (SF). Both spot control (SC) and voxel-wise worst-case scenario (WC) algorithms were employed for robust radiobiological optimization followed by their application in a Radiation Therapy Oncology Group benchmark phantom under homogeneous and heterogeneous conditions and a clinical case for range and position errors. Importantly, for the first time, both SC and WC algorithms were implemented in the integrated TPS platform that can compute the intensities of IMCT using scanned carbon-ion beams for robust radiobiological optimization. For assessing the robustness, the difference between the maximum and minimum values of a dose–volume histogram index in the examined error scenarios was considered as a robustness index. The relative biological effectiveness (RBE) determined by the independent dose calculation engine exhibited a −0.6% difference compared with the RBE defined by the TPS at the isocenter, whereas the measured and the calculated SF were similar. Regardless of the objects, compared with the conventional IMCT, the robust radiobiological optimization enhanced the sensitivity of the examined error scenarios by up to 19% for the robustness index. The computational efficacy of the novel IMCT algorithms was verified according to the mixed beam model with respect to the physical and biological doses. The robust radiobiological optimizations lowered the impact of range and position uncertainties considerably in the examined scenarios. The robustness of the WC algorithm was more enhanced compared with that of the SC algorithm. Nevertheless, the SC algorithm can be used as an alternative to the WC IMCT algorithm with respect to the computational cost.