Literature DB >> 17606023

Diagnostic studies in obstructive sleep apnea.

Kunal Thakkar1, Mike Yao.   

Abstract

The standard for the diagnosis of obstructive sleep apnea (OSA) is polysomnography (PSG). Although PSG helps identify individuals who have OSA and guides medical management, it does not identify the obstruction site or predict surgical results. Radiologic and diagnostic studies have been used to direct surgical intervention and predict outcomes of sleep apnea surgery. These studies include lateral cephalometric radiographs, CT, MRI, asleep fluoroscopy, asleep and awake endoscopy, upper airway manometry, and acoustic reflection techniques. The ideal diagnostic study would identify individuals who have OSA, be cost-effective and readily accessible, and guide therapeutic, site-specific intervention with predictable results. In this article, the various modalities are reviewed in terms of their capability to effectively diagnose and guide treatment of OSA.

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Year:  2007        PMID: 17606023     DOI: 10.1016/j.otc.2007.04.005

Source DB:  PubMed          Journal:  Otolaryngol Clin North Am        ISSN: 0030-6665            Impact factor:   3.346


  4 in total

1.  Decreased maxillary sinus volume is a potential predictor of obstructive sleep apnea.

Authors:  Yoon-Ji Kim; Hyung-Kyun Shin; Dong-Yul Lee; Jae-Jun Ryu; Tae Hoon Kim
Journal:  Angle Orthod       Date:  2020-07-01       Impact factor: 2.079

2.  Effect of uvulopalatopharyngoplasty on retropalatal region.

Authors:  Hasan Tanyeri; Gediz Murat Serin; Elif Ayanoglu Aksoy; Senol Polat; Caglar Cuhadaroglu
Journal:  Eur Arch Otorhinolaryngol       Date:  2012-11-09       Impact factor: 2.503

Review 3.  Surgical therapy of obstructive sleep apnea: a review.

Authors:  Bettina Carvalho; Jennifer Hsia; Robson Capasso
Journal:  Neurotherapeutics       Date:  2012-10       Impact factor: 7.620

4.  The use of sub-mental ultrasonography for identifying patients with severe obstructive sleep apnea.

Authors:  Chin-Chung Shu; Peilin Lee; Jou-Wei Lin; Chun-Ta Huang; Yeun-Chung Chang; Chong-Jen Yu; Hao-Chien Wang
Journal:  PLoS One       Date:  2013-05-10       Impact factor: 3.240

  4 in total

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