The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
UPPER AIRWAY IMAGING
Open accessAbstract
Although obstructive sleep apnea is a highly prevalent disorder with significant clinical consequences and major public health ramifications, we understand little about its pathogenesis. Upper airway imaging, however, has allowed us to begin to understand the biomechanical basis for obstructive sleep apnea and the mechanisms underlying the efficacy of various therapeutic interventions. Imaging techniques can provide high-resolution anatomic data on the structure and function of the upper airway and surrounding soft-tissue structures. MR and CT tomography imaging allow precise anatomic evaluation of the airway and surrounding soft-tissue structures (examination of the “donut” rather than the “hole in the center of the donut”). In addition, dynamic and state-dependent imaging techniques provide information on the soft-tissue and bony structures, the motion of which underlies the dimensional changes that take place in the upper airway during respiration, sleep, and airway closure. Upper airway imaging is a powerful research technique that has significantly advanced our understanding of the biomechanics, pathophysiology, and treatment of obstructive sleep apnea. Moreover, clinical indications for upper airway imaging in patients with sleep apnea are beginning to evolve.
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Cites
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The Familial Aggregation of Obstructive Sleep Apnea
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Pharyngeal Fat in Obstructive Sleep Apnea
Shelton, K. E., Woodson, H., Gay, S., & Suratt, P. M. (1993) · American Review of Respiratory Disease · doi:10.1164/ajrccm/148.2.462 · Cited by 458
Lung Volume Dependence of Pharyngeal Cross-Sectional Area in Patients with Obstructive Sleep Apnea
Hoffstein, V., Zamel, N., & Phillipson, E. A. (1984) · American Review of Respiratory Disease · doi:10.1164/arrd.1984.130.2.175 · Cited by 332
Pharyngeal Size in Snorers, Nonsnorers, and Patients with Obstructive Sleep Apnea
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Cephalometric and computed tomographic predictors of obstructive sleep apnea severity
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Cited by
Schwab, R. J., Pasirstein, M., Pierson, R., Mackley, A., Hachadoorian, R., Arens, R., Maislin, G., & Pack, A. I. (2003) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200208-866oc · Cited by 952
Self-citationThe Male Predisposition to Pharyngeal Collapse: Importance of Airway Length
Malhotra, A., Huang, Y., Fogel, R. B., Pillar, G., Edwards, J. K., Kikinis, R., Loring, S. H., & White, D. P. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2112072 · Cited by 441
Aboudara, C., Nielsen, I., Huang, J. C., Maki, K., Miller, A. J., & Hatcher, D. (2009) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2007.04.043 · Cited by 425
A simplified method for determining phenotypic traits in patients with obstructive sleep apnea
Wellman, A., Edwards, B. A., Sands, S. A., Owens, R. L., Nemati, S., Butler, J., Passaglia, C. L., Jackson, A. C., Malhotra, A., & White, D. P. (2013) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00747.2012 · Cited by 222
Pathophysiology of Obstructive Sleep Apnea
Horner, R. L. (2008) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/01.hcr.0000336138.71569.a2 · Cited by 112
Metadata
- Authors
- Schwab, R. J.
- Venue
- Clinics in Chest Medicine
- Publisher
- Elsevier BV
- Published
- 1998-03
- Volume
- 19
- Issue
- 1
- Pages
- 33-54
- ISSN
- 0272-5231 (ISSN-L)
- OpenAlex
- W2038155098
- Cited by
- 200
- References
- 13
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
