[Dose reconstruction using respiratory signals and machine parameters during treatment in stereotactic body radiotherapy]

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Abstract

PURPOSE: Volumetric modulated arc therapy (VMAT) is a rotational intensity-modulated radiotherapy (IMRT) technique capable of acquiring projection images during treatment. The purpose of this study was to reconstruct the dose distribution from respiratory signals and machine parameters acquired during stereotactic body radiotherapy (SBRT). METHODS: The treatment plans created for VMAT-SBRT included the constraint of 1 mm/degree in multileaf collimator (MLC) for a moving phantom and three patients with lung tumors. The respiratory signals were derived from projection images acquired during VMAT delivery, while the machine parameters were derived from machine logs. The respiratory signals and machine parameters were then linked along with the gantry angle. With this data, the dose distribution of each respiratory phase was calculated on the planned four-dimensional CT (4D CT). The doses at the isocenter, the point of max dose and the centroid of the target were compared with those of the corresponding plans. RESULTS AND DISCUSSION: In the phantom study, the maximum dose difference between the plan and "in-treatment" results was -0.4% at the centroid of the target. In the patient study, the difference was -1.8 ± 0.4% at the centroid of the target. Dose differences of the evaluated points between 4 and 10 phases were not significant. CONCLUSION: The present method successfully reconstructed the dose distribution using the respiratory signals and machine parameters acquired during treatment. This is a feasible method for verifying the actual dose for a moving target.

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APA

Imae, T., Haga, A., Saotome, N., Kida, S., Nakano, M., Takenaka, S., … Ohtomo, K. (2014). [Dose reconstruction using respiratory signals and machine parameters during treatment in stereotactic body radiotherapy]. Nihon Hoshasen Gijutsu Gakkai Zasshi, 70(11), 1225–1234. https://doi.org/10.6009/jjrt.2014_JSRT_70.11.1225

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