锥形束CT三维头影测量评价青年鼾症患者颅面特征及气道容积

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Abstract Objective: To estimate the craniofacial morphology and airway volume of young snoring patients by CBCT 3D cephalometry. Methods: A cluster sampling method was used to investigate the snoring status of 3 300 young students in Wenzhou Medical University. According to the degree of snoring, 102 subjects with severe snoring were selected to do Epworth sleepiness score, and 28 subjects scored higher than 9 did polysomnography examination (PSG). According to the PSG results, 20 subjects with snoring but not OSAHS were generalized as snoring group, and another 20 subjects, who were confirmed by himself and four of his roommates with no snoring, were defined as control group. CBCT was taken under the same conditions in both groups. Three orthodontists used Dolphin software to perform three-dimensional cephalometric and airway volume measurements on CBCT images. Each person was measured twice, one week apart. Intra-group correlation coefficient (ICC) was calculated to evaluate the reliability between six measurements, and t test was used to analyze the difference between snoring group and control group. Results: The BMI (P=0.028) and neck circumference (P=0.043) in the snoring group were larger than those of the control group. The N-S-Ar angle (P=0.042) and Nasal floor to FH angle (P<0.001) in the snoring group were larger than those in the control group, and the S-N (P=0.039), S-Ba (P=0.009) and N-ANS (P=0.022) in the snoring group were smaller than those in the control group. UP-PhW (P=0.001), UT-PhW (P=0.037), PP-SPU (P=0.006), PNS-SPU (P= 0.004), SAM-SPM (P=0.009), SAL-SPL (P=0.009), PNR (P=0.011) representing the airway space in the snoring group were significantly smaller than the control group. The airway volume of the snoring group was significantly smaller than the control group. Conclusion: The main craniofacial characteristics of young snoring people include small nasal cavity, narrow pharyngeal cavity, narrow airway, obesity and larger neck circumference.

Key words： young snoring cone beam computed tomography 3D cephalometric craniofacial charact-eristics airway

Received: 11 May 2018

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	QIN Huaxiang
	WANG Haiyan
	WANG Xiaofei
	CAO Zhensheng
	HU Rongdang

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https://xb.wmu.edu.cn/EN/ OR https://xb.wmu.edu.cn/EN/Y2018/V48/I12/903

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