Chi-Chih Lai1, Pei-Wen Lin2,3, Hsin-Ching Lin1,3,4, Michael Friedman5,6, Anna M Salapatas6, Ju-Pin Chen7, Hsueh-Wen Chang8, Sin-Ei Juang9, Shao-Chun Wu9, Meng-Chih Lin3,10. 1. Department of Otolaryngology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 2. Division of Glaucoma, Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 3. Sleep Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 4. Robotic Surgery Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 5. Division of Sleep Surgery, Department of Otolaryngology-Head and Neck Surgery, Rush University Medical Center, Chicago, Illinois, USA. 6. Department of Otolaryngology, Advanced Center for Specialty Care, Advocate Illinois Masonic Medical Center, Chicago, Illinois, USA. 7. Department of Anesthesiology, Yuan's General Hospital, Kaohsiung, Taiwan. 8. Department of Biological Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan. 9. Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. 10. Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Abstract
OBJECTIVES: To use computer-assisted quantitative measurements of upper airway changes during drug-induced sleep endoscopy (DISE) and to correlate these parameters with disease severities and physiologic changes in patients with obstructive sleep apnea/hypopnea syndrome (OSA). DESIGN: A retrospective study. SETTING: Tertiary academic medical center. PATIENTS AND METHODS: A total of 170 patients who failed continuous positive airway pressure therapy and then underwent upper airway surgery were enrolled. All patients received polysomnography and DISE preoperatively. We used ImageJ 1.48v to obtain maximal and minimal measurements, including cross-sectional areas and anterior-posterior and lateral diameters at 4 anatomic levels (retropalatal, oropharyngeal, retroglossal, and retroepiglottic) under DISE, and then computed the percentage changes. We analyzed the clinical values of DISE changes by computer-assisted analysis in patients with OSA and any correlations between these changes and polysomnography parameters. RESULTS: The percentage changes of upper airway showed significant collapses at all 4 anatomic levels (all P < .0001). We also found that the changes at retropalatal levels were significantly greater and that retroglossal levels were significantly smaller, while the changes of anterior-posterior diameters at retroglossal levels showed a significant positive association with apnea-hypopnea index and desaturation index. However, there were no statistically significant correlations between upper airway changes and obesity. CONCLUSION: Computer-assisted quantitative analysis could evaluate upper airway changes of OSA in an objective way and may help identify the sites of obstruction during DISE more accurately. Upper airway showed multilevel collapse with independent significant changes in patients with OSA, with the retropalatal and retroglossal levels playing important roles in particular.
OBJECTIVES: To use computer-assisted quantitative measurements of upper airway changes during drug-induced sleep endoscopy (DISE) and to correlate these parameters with disease severities and physiologic changes in patients with obstructive sleep apnea/hypopnea syndrome (OSA). DESIGN: A retrospective study. SETTING: Tertiary academic medical center. PATIENTS AND METHODS: A total of 170 patients who failed continuous positive airway pressure therapy and then underwent upper airway surgery were enrolled. All patients received polysomnography and DISE preoperatively. We used ImageJ 1.48v to obtain maximal and minimal measurements, including cross-sectional areas and anterior-posterior and lateral diameters at 4 anatomic levels (retropalatal, oropharyngeal, retroglossal, and retroepiglottic) under DISE, and then computed the percentage changes. We analyzed the clinical values of DISE changes by computer-assisted analysis in patients with OSA and any correlations between these changes and polysomnography parameters. RESULTS: The percentage changes of upper airway showed significant collapses at all 4 anatomic levels (all P < .0001). We also found that the changes at retropalatal levels were significantly greater and that retroglossal levels were significantly smaller, while the changes of anterior-posterior diameters at retroglossal levels showed a significant positive association with apnea-hypopnea index and desaturation index. However, there were no statistically significant correlations between upper airway changes and obesity. CONCLUSION: Computer-assisted quantitative analysis could evaluate upper airway changes of OSA in an objective way and may help identify the sites of obstruction during DISE more accurately. Upper airway showed multilevel collapse with independent significant changes in patients with OSA, with the retropalatal and retroglossal levels playing important roles in particular.