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首页> 外文期刊>The clinical respiratory journal. >Assessment by airway ellipticity on cine‐MRI to differentiate severe obstructive sleep apnea
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Assessment by airway ellipticity on cine‐MRI to differentiate severe obstructive sleep apnea

机译：通过气道椭圆形对Cine-MRI进行评估，以区分严重阻塞性睡眠呼吸暂停

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Abstract Introduction The severity of obstructive sleep apnea (OSA) is assessed by the apnea–hypopnea index (AHI) determined from polysomnography (PSG). However, PSG requires a specialized facility with well‐trained specialists and takes overnight. Therefore, simple tools, which could distinguish severe OSA, have been needed before performing PSG. Objectives We propose the new index using cine‐MRI as a screening test to differentiate severe OSA patients, who would need PSG and proper treatment. Methods Thirty‐six patients with suspected OSA (mean age 54.6 y, mean AHI 52.6 events/h, 33 males) underwent airway cine‐MRI at the fourth cervical vertebra level during 30 s of free breathing and PSG. The minimum airway ellipticity (AE) in 30 s duration was measured, and was defined as the severity of OSA. Patients were divided into severe OSA, not‐severe OSA, and normal groups, according to PSG results. The comparison of AE between any two of the three groups was performed by Wilcoxon rank‐sum test. Receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cut‐off of AE for identifying severe OSA patients. Results The minimum AE for severe OSA was significantly lower than that for not‐severe OSA and normal (severe, 0.17?±?0.16; not severe, 0.31?±?0.17; normal, 0.38?±?0.19, P ??.05). ROC analysis revealed that the optimal cutoff of the minimum AE 0.21 identified severe OSA patients, with an area under the curve of 0.75, 68% sensitivity, and 83% specificity. Conclusion AE is a feasible quantitative index, and a promising screening test for detecting severe OSA patients.
机译：摘要引言暂停症（PSG）测定的呼吸暂停症（AHI）评估阻塞性睡眠呼吸暂停（OSA）的严重程度。然而，PSG需要一个带有训练有素的专家的专业设施，并在一夜之间过。因此，在执行PSG之前，已经需要简单的工具，可以区分严重OSA。目的我们提出了使用Cine-MRI作为筛查测试来区分严重的OSA患者的新指数，他需要PSG和适当的治疗。方法三十六名涉嫌OSA患者（平均54.6 y，平均AHI 52.6事件/ h，33名男性）在30秒的自由呼吸和PSG期间在第四个颈椎水平处接受了气道Cine-MRI。测量30次持续时间最小气道椭圆形（AE），并定义为OSA的严重程度。根据PSG结果，患者分为严重的OSA，不严重的OSA和正常组。通过Wilcoxon Rank-Sum测试进行三组中任一两个组之间的AE之间的比较。进行接收器操作特征（ROC）曲线分析以确定用于鉴定严重的OSA患者的AE的最佳截止。结果严重OSA的最小AE显着低于不安全的OSA和正常（严重，0.17〜±0.16;不严重，0.31Ω±0.17;正常，0.38±±0.19. .05）。 ROC分析显示，最小AE 0.21的最佳截止值鉴定了严重的OSA患者，曲线下的面积为0.75,68％，敏感性为83％。结论AE是一种可行的定量指标，以及检测严重OSA患者的有前途的筛选试验。

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