Statistical determinations of the gating windows in the respiratory gated radiotherapy using the visible guiding system
Se An Oh, Ji Woon Yea, Hyun Jeong Lee, and Sung Kyu Kim

TL;DR
This study used statistical analysis of breathing signals to determine the optimal gating window in respiratory gated radiotherapy, demonstrating improved respiratory regularity and potential for enhanced treatment accuracy.
Contribution
It introduces a statistical method to identify optimal gating windows in RGRT using a visible guiding system, improving respiratory regularity.
Findings
Significant differences in breathing signals before and after training
Optimal gating window identified between 30% and 70% phase
Visible guiding system improves respiratory regularity
Abstract
Purpose: Respiratory gated radiation therapy (RGRT) is used to minimize the radiation dose to normal tissue in lung cancer patients. Determinations of the gating window in the respiratory phase of patients are important in RGRT but it is not easy. The objective of this study was to determine the optimal gating window with a visible guiding system in RGRT. Materials and Methods: Between April and October in 2014 the breathing signals of 23 lung cancer patients were recorded with a Real-time Position Management (RPM) respiratory gating system (Varian, USA). We performed statistical analysis with breathing signals to find the optimal gating window for the guided breathing for RGRT. Results: 19 of the 23 patients showed statistically significant differences (p < 0.05) when the breathing signals obtained before and after breathing training were compared, The standard deviation of the…
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