Three-Dimensional Airway Assessment as Diagnostic Aid in Obstructive Sleep Apnea.

Oscar Arturo Benítez-Cárdenas, Néstor Oliver Herrera-Salguero, Elhi Manuel Torres-Hernández, Miguel Angel Noyola-Frías, Ricardo Martínez-Rider, Marlen Vitales-Noyola
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Abstract

Background: Obstructive Sleep Apnea Syndrome (OSAS) is a prevalent and underdiagnosed condition with significant systemic and quality-of-life impacts. While polysomnography remains the gold standard for diagnosis, cone-beam computed tomography (CBCT) presents a potential adjunctive imaging tool for anatomical airway evaluation. Objective: We aimed to assess the effectiveness of three-dimensional airway evaluation via CBCT as a complementary diagnostic tool for OSAS. Methods: A diagnostic test study (experimental pilot study) was conducted using CBCT scans of 30 patients, divided into two groups: 15 scans from patients with a confirmed OSAS diagnosis through polysomnography and 15 scans from healthy controls. Five tomographic variables were analyzed: anteroposterior distance, lateral distance, minimum cross-sectional area, airway volume, and airway shape. Statistical analysis was performed comparing both groups. Results: The minimum cross-sectional area and airway volume showed statistically significant differences between the OSAS and control groups (p = 0.038 and p = 0.0055, respectively). Anteroposterior and lateral distances showed trends toward significance but were not statistically significant. Conclusions: CBCT-based airway analysis, particularly focusing on volumetric and cross-sectional area parameters, demonstrates strong potential as a complementary tool in the diagnosis of peripheral-type OSAS. However, it cannot replace polysomnography, especially for central OSAS diagnosis.

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三维气道评估对阻塞性睡眠呼吸暂停的诊断帮助。
背景:阻塞性睡眠呼吸暂停综合征(OSAS)是一种普遍且未被诊断的疾病,对全身和生活质量有显著影响。虽然多导睡眠图仍然是诊断的金标准,但锥束计算机断层扫描(CBCT)为解剖气道评估提供了潜在的辅助成像工具。目的:我们旨在评估通过CBCT进行三维气道评估作为OSAS补充诊断工具的有效性。方法:采用CBCT扫描对30例患者进行诊断试验研究(实验性先导研究),分为两组:15例来自经多导睡眠图确诊为OSAS的患者,15例来自健康对照。分析了五个层析变量:正位距离、侧位距离、最小横截面积、气道体积和气道形状。两组比较进行统计学分析。结果:OSAS组与对照组的最小横截面积、气道容积差异有统计学意义(p = 0.038、p = 0.0055)。正侧距离有统计学意义,但无统计学意义。结论:基于cbct的气道分析,特别是关注体积和横截面积参数,显示出作为外周型OSAS诊断的补充工具的强大潜力。然而,它不能取代多导睡眠图,特别是对于中枢性OSAS的诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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