Tsukasa Kojima1, Masateru Kawakubo2, Mari K Nishizaka3,4, Anita Rahmawati4, Shin-Ichi Ando3, Akiko Chishaki4, Yasuhiko Nakamura1, Michinobu Nagao5. 1. Division of Radiology, Department of Medical Technology, Kyushu University Hospital, Fukuoka, Japan. 2. Department of Radiological Technology, Faculty of Fukuoka Medical Technology, Teikyo University, Fukuoka, Japan. 3. Sleep Apnea Center, Kyushu University Hospital, Fukuoka, Japan. 4. Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. 5. Department of Diagnostic Imaging and Nuclear medicine, Tokyo Women's Medical University, Tokyo, Japan.
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.
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.
Authors: Christopher M Cielo; Brendan T Keenan; Andrew Wiemken; Ignacio E Tapia; Andrea Kelly; Richard J Schwab Journal: Sleep Date: 2021-11-12 Impact factor: 6.313