カナイ　タカユキ   金井　貴幸    所属   医学部 医学科（東京女子医科大学病院）    職種   講師
論文種別	原著
言語種別	英語
査読の有無	査読あり
表題	Comparison of visual biofeedback system with a guiding waveform and abdomen-chest motion self-control system for respiratory motion management.
掲載誌名	正式名：Journal of radiation research 略　 称：J Radiat Res ISSNコード：13499157/04493060
掲載区分	国外
巻・号・頁	57(4),pp.387-92
著者・共著者	Nakajima Yujiro, Kadoya Noriyuki, Kanai Takayuki, Ito Kengo, Sato Kiyokazu, Dobashi Suguru, Yamamoto Takaya, Ishikawa Yojiro, Matsushita Haruo, Takeda Ken, Jingu Keiichi
発行年月	2016/07
概要	Irregular breathing can influence the outcome of 4D computed tomography imaging and cause artifacts. Visual biofeedback systems associated with a patient-specific guiding waveform are known to reduce respiratory irregularities. In Japan, abdomen and chest motion self-control devices (Abches) (representing simpler visual coaching techniques without a guiding waveform) are used instead; however, no studies have compared these two systems to date. Here, we evaluate the effectiveness of respiratory coaching in reducing respiratory irregularities by comparing two respiratory management systems. We collected data from 11 healthy volunteers. Bar and wave models were used as visual biofeedback systems. Abches consisted of a respiratory indicator indicating the end of each expiration and inspiration motion. Respiratory variations were quantified as root mean squared error (RMSE) of displacement and period of breathing cycles. All coaching techniques improved respiratory variation, compared with free-breathing. Displacement RMSEs were 1.43 ± 0.84, 1.22 ± 1.13, 1.21 ± 0.86 and 0.98 ± 0.47 mm for free-breathing, Abches, bar model and wave model, respectively. Period RMSEs were 0.48 ± 0.42, 0.33 ± 0.31, 0.23 ± 0.18 and 0.17 ± 0.05 s for free-breathing, Abches, bar model and wave model, respectively. The average reduction in displacement and period RMSE compared with the wave model were 27% and 47%, respectively. For variation in both displacement and period, wave model was superior to the other techniques. Our results showed that visual biofeedback combined with a wave model could potentially provide clinical benefits in respiratory management, although all techniques were able to reduce respiratory irregularities.
DOI	10.1093/jrr/rrv106
PMID	26922090