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Evaluation of Breathing Patterns for Respiratory-Gated Radiation Therapy Using Respiration Regularity Index
K Cheong*, M Lee, S Kang, J Yoon, S Park, T Hwang, H Kim, K Kim, T Han, H Bae. Hallym University College of Medicine, Anyang
Presentations
SU-E-J-67 Sunday 3:00PM - 6:00PM Room: Exhibit HallPurpose: Despite the importance of accurately estimating the respiration regularity of a patient in motion compensation treatment, an effective and simply applicable method has rarely been reported. The authors propose a simple respiration regularity index based on parameters derived from a correspondingly simplified respiration model.
Methods: In order to simplify a patient's breathing pattern while preserving the data's intrinsic properties, we defined a respiration model as a power of cosine form with a baseline drift. According to this respiration formula, breathing-pattern fluctuation could be explained using four factors: sample standard deviation of respiration period, sample standard deviation of amplitude and the results of simple regression of the baseline drift (slope and standard deviation of residuals of a respiration signal. Overall irregularity (δ) was defined as a Euclidean norm of newly derived variable using principal component analysis (PCA) for the four fluctuation parameters. Finally, the proposed respiration regularity index was defined as Ï=ln(1+(1/ δ))/2, a higher Ï indicating a more regular breathing pattern. Subsequently, we applied it to simulated and clinical respiration signals from real-time position management (RPM; Varian Medical Systems, Palo Alto, CA) and investigated respiration regularity. Moreover, correlations between the regularity of the first session and the remaining fractions were investigated using Pearson's correlation coefficient.
Results: The respiration regularity was determined based on Ï; patients with Ï<0.3 showed worse regularity than the others, whereas Ï>0.7 was suitable for respiratory-gated radiation therapy (RGRT). Fluctuations in breathing cycle and amplitude were especially determinative of Ï. If the respiration regularity of a patient's first session was known, it could be estimated through subsequent sessions.
Conclusions: Respiration regularity could be objectively determined using a respiration regularity index, Ï. Such single-index testing of respiration regularity can facilitate determination of RGRT availability in clinical settings, especially for free-breathing cases.
Funding Support, Disclosures, and Conflict of Interest: This work was supported by a Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean Ministry of Science, ICT and Future Planning (No.2013043498).
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