Facial Contour Features Measured on CT Reflects Upper Airway Morphology in Patients With OSA

Author:

Zhang Zishanbai12,Sun Dance12,Jia Yajie12,Fei Nanxi3,Li Yanru12,Han Demin12

Affiliation:

1. Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University

2. Key Laboratory of Otolaryngology Head and Neck Surgery, Ministry of Education, Capital Medical University

3. Department of Radiology, Beijing Tongren Hospital, Capital Medical University, Beijing, People’s Republic of China

Abstract

Objective: To determine facial contour features, measured on computed tomography (CT), related to upper airway morphology in patients with obstructive sleep apnea (OSA); certain phenotype of facial abnormalities implying restriction of craniofacial skeleton and adipose tissue nimiety has predicted the value of the severity of OSA. Materials and Method: Sixty-four male patients with OSA [apnea-hypopnea index (AHI) ≥10/h] who had upper airway CT were randomly selected to quantitatively measure indicators of facial contour and upper airway structures. Pearson correlation analyses were performed. Partial correlation procedure was used to examine correlations while controlling body mass index (BMI). Results: Upper airway anatomy can nearly all be reflected in the face, except retroglossal airway. Upper face width can be measured to assess the overall skeletal structures of the airway. Lower face width can be used to represent how much adipose tissue deposited. Hard palate, retropalatal, and hypopharyngeal airways have corresponding face indicators respectively. Midface width is a better predictor of AHI severity and minimum blood oxygen even than neck circumference because it contains the most anatomical information about the airway, including RP airway condition, soft palate length, tongue volume, etc. These correlations persisted even after correction for BMI. Conclusions: All anatomical features of the upper airway except retroglossal airway can be reflected in the face, and midface width is the best predictor of AHI severity and minimum blood oxygen, even better than neck circumference and BMI.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,Otorhinolaryngology,Surgery

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