Computed Tomography Characterization and Comparison With Polysomnography for Obstructive Sleep Apnea Evaluation

dc.contributor.authorChousangsuntorn, Khaisang
dc.contributor.authorBhongmakapat, Thongchai
dc.contributor.authorApirakkittikul, Navarat
dc.contributor.authorSungkarat, Witaya
dc.contributor.authorSupakul, Nucharin
dc.contributor.authorLaothamatas, Jiraporn
dc.contributor.departmentRadiology and Imaging Sciences, School of Medicineen_US
dc.date.accessioned2017-11-08T21:14:20Z
dc.date.available2017-11-08T21:14:20Z
dc.date.issued2017
dc.description.abstractPurpose We hypothesized that computed tomography (CT) combined with portable polysomnography (PSG) might better visualize anatomic data related to obstructive sleep apnea (OSA). The present study evaluated the CT findings during OSA and assessed their associations with the PSG data and patient characteristics. Patients and Methods We designed a prospective cross-sectional study of patients with OSA. The patients underwent scanning during the awake state and apneic episodes. Associations of the predictor variables (ie, PSG data, respiratory disturbance index [RDI]), patient characteristics (body mass index [BMI], neck circumference [NC], and waist circumference [WC]), and outcome variables (ie, CT findings during apneic episodes) were assessed using logistic regression analysis. The CT findings during apneic episodes were categorized regarding the level of obstruction, single level (retropalatal [RP] or retroglossal [RG]) or multilevel (mixed RP and RG), degree of obstruction (partial or complete), and pattern of collapse (complete concentric collapse [CCC] or other patterns). Results A total of 58 adult patients with OSA were scanned. The mean ± standard deviation for the RDI, BMI, NC, and WC were 41.6 ± 28.55, 27.80 ± 5.43 kg/m2, 38.3 ± 4.3 cm, and 93.8 ± 13.6 cm, respectively. No variables distinguished between the presence of single- and multilevel airway obstruction in the present study. A high RDI (≥30) was associated with the presence of complete obstruction and CCC (odds ratio 6.33, 95% confidence interval 1.55 to 25.90; and odds ratio 3.77, 95% confidence interval 1.02 to 13.91, respectively) compared with those with a lesser RDI. Conclusions An increased RDI appears to be an important variable for predicting the presence of complete obstruction and CCC during OSA. Scanning during apneic episodes, using low-dose volumetric CT combined with portable PSG provided better anatomic and pathologic findings of OSA than did scans performed during the awake state.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationChousangsuntorn, K., Bhongmakapat, T., Apirakkittikul, N., Sungkarat, W., Supakul, N., & Laothamatas, J. (2017). CT Characterization and Comparison with Polysomnography for Obstructive Sleep Apnea Evaluation. Journal of Oral and Maxillofacial Surgery. https://doi.org/10.1016/j.joms.2017.09.006en_US
dc.identifier.urihttps://hdl.handle.net/1805/14478
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.joms.2017.09.006en_US
dc.relation.journalJournal of Oral and Maxillofacial Surgeryen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectobstructive sleep apneaen_US
dc.subjectcomputed tomographyen_US
dc.subjectportable polysomnographyen_US
dc.titleComputed Tomography Characterization and Comparison With Polysomnography for Obstructive Sleep Apnea Evaluationen_US
dc.typeArticleen_US
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