title: Statistical Determination of the Gating Windows for Respiratory-Gated Radiotherapy Using a Visible Guiding System.
abstract: Respiratory-gated radiation therapy (RGRT) is used to minimize the radiation dose to normal tissue in lung-cancer patients. Although determining the gating window in the respiratory phase of patients is important in RGRT, it is not easy. Our aim was to determine the optimal gating window when using a visible guiding system for RGRT. Between April and October 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 guided breathing in RGRT. When we compared breathing signals before and after the breathing training, 19 of the 23 patients showed statistically significant differences (p < 0.05). The standard deviation of the respiration signals after breathing training was lowest for phases of 30%-70%. The results showed that the optimal gating window in RGRT is 40% (30%-70%) with respect to repeatability for breathing after respiration training with the visible guiding system. RGRT was performed with the RPM system to confirm the usefulness of the visible guiding system. The RPM system and our visible guiding system improve the respiratory regularity, which in turn should improve the accuracy and efficiency of RGRT.
authors.affiliation: Department of Radiation Oncology, Yeungnam University Medical Center, Daegu, Korea.|Institute of Medical Science, Yeungnam University College of Medicine, Daegu, Korea.
authors.forename: Se An
authors.initials: SA
authors.lastname: Oh
authors.affiliation: Department of Radiation Oncology, Yeungnam University Medical Center, Daegu, Korea.|Institute of Medical Science, Yeungnam University College of Medicine, Daegu, Korea.|Department of Radiation Oncology, Yeungnam University College of Medicine, Daegu, Korea.
authors.forename: Ji Woon
authors.initials: JW
authors.lastname: Yea
authors.affiliation: Department of Radiation Oncology, Yeungnam University Medical Center, Daegu, Korea.|Institute of Medical Science, Yeungnam University College of Medicine, Daegu, Korea.|Department of Radiation Oncology, Yeungnam University College of Medicine, Daegu, Korea.
authors.forename: Sung Kyu
authors.identifier: http://orcid.org/0000-0002-5371-6964
authors.initials: SK
authors.lastname: Kim
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology / Q000532:radiotherapy*; D008297:Male; D008875:Middle Aged; D015656:Respiratory Mechanics; D055425:Respiratory-Gated Imaging Techniques