Liu Stanley Yung-Chuan, Huon Leh-Kiong, Lo Men-Tzung, Chang Yi-Chung, Capasso Robson, Chen Yunn-Jy, Shih Tiffany Ting-Fang, Wang Pa-Chun
Division of Sleep Surgery, Department of Otolaryngology-Head & Neck Surgery, Stanford University Medical Center, Stanford, CA, USA.
School of Medicine, Stanford University, Stanford, CA, USA.
Clin Otolaryngol. 2016 Dec;41(6):700-706. doi: 10.1111/coa.12598. Epub 2016 Feb 23.
Using sleep MRI, we aimed to identify static craniofacial measurements and dynamic upper airway collapse patterns associated with severe obstructive sleep apnoea (OSA) during natural sleep in age and BMI-matched patients.
Nested case-control study.
Sleep MRI images (3.0 Tesla scanner) and synchronised acoustic recording were used to observe patterns of dynamic airway collapse in subjects with mild and severe OSA. Midsagittal images were also used for static craniofacial measurements.
Fifteen male subjects with severe OSA (mean AHI 70.3 ± 23 events/h) were matched by age and BMI to 15 subjects with mild OSA (mean AHI 7.8 ± 1.4 events/h). Subjects were selected from a consecutive sleep MRI study cohort.
Static craniofacial measurements selected a priori included measurements that represent maxillomandibular relationships and airway morphology. Axial, sagittal and coronal views of the airway were rated for dynamic collapse at retropalatal, retroglossal and lateral pharyngeal wall regions by blinded reviewers. Bivariate analysis was used to correlate measures associated with severity of OSA using AHI. Statistical significance was set at P < 0.01.
Lateral pharyngeal wall collapse from dynamic sleep MRI (β = 51.8, P < 0.001) and upper airway length from static MRI images (β = 27.2, P < 0.001) positively correlated with severity of OSA.
Lateral pharyngeal wall collapse and upper airway length are significantly associated with severe OSA based on sleep MRI. Assessment of these markers can be readily translated to routine clinical practice, and their identification may direct targeted surgical treatment.
通过睡眠磁共振成像(MRI),我们旨在确定年龄和体重指数(BMI)匹配的患者在自然睡眠期间与重度阻塞性睡眠呼吸暂停(OSA)相关的静态颅面测量值和动态上气道塌陷模式。
巢式病例对照研究。
使用睡眠MRI图像(3.0特斯拉扫描仪)和同步声学记录来观察轻度和重度OSA患者的动态气道塌陷模式。矢状面图像也用于静态颅面测量。
15名重度OSA男性受试者(平均呼吸暂停低通气指数[AHI] 70.3±23次/小时)按年龄和BMI与15名轻度OSA受试者(平均AHI 7.8±1.4次/小时)匹配。受试者选自连续的睡眠MRI研究队列。
预先选择的静态颅面测量指标包括代表上颌下颌关系和气道形态的测量值。由不知情的评估者对气道的轴向、矢状面和冠状面视图在软腭后、舌后和咽侧壁区域的动态塌陷进行评分。使用AHI通过双变量分析来关联与OSA严重程度相关的指标。统计学显著性设定为P<0.01。
动态睡眠MRI显示的咽侧壁塌陷(β=51.8,P<0.001)和静态MRI图像显示的上气道长度(β=27.2,P<0.001)与OSA严重程度呈正相关。
基于睡眠MRI,咽侧壁塌陷和上气道长度与重度OSA显著相关。对这些指标的评估可轻松转化为常规临床实践,其识别可能指导针对性的手术治疗。