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无症状患者基于年龄和性别的舌体积变化:一种为阻塞性睡眠呼吸暂停形成基线数据的简化方法。

Age- and Gender-Based Tongue Volume Variations on Asymptomatic Patients: A Simplified Approach to Form Baseline Data for Obstructive Sleep Apnea.

作者信息

Baştuğ Betül Tiryaki

机构信息

Radiology Department, Bilecik Şeyh Edebali University Medical Faculty, 11000 Bilecik, Türkiye.

出版信息

Diagnostics (Basel). 2025 Jan 30;15(3):322. doi: 10.3390/diagnostics15030322.

Abstract

Tongue anatomy plays a critical role in airway-related disorders such as obstructive sleep apnea (OSA). Understanding variations in tongue volume across age and gender is essential for refining diagnostic and therapeutic strategies. This study aims to establish baseline data for tongue volume using a simplified geometric approach, addressing the gap in large-scale anatomical assessments, specifically in asymptomatic patients without clinical indications of OSA. This retrospective cross-sectional study included 120 asymptomatic patients aged 18-75 years, stratified into three age groups (18-40, 41-60, 61+). Tongue volume was estimated using anterior-posterior length, width, and height measurements from neck CT scans, applying a geometric approximation formula. Statistical analysis, including ANOVA and post hoc tests, was used to evaluate differences across age groups and between genders. Regression analysis examined the influence of age and gender on tongue volume. Tongue volume showed a significant decline with advancing age ( < 0.05), with the 61+ age group exhibiting the smallest volumes. Gender differences were pronounced, with males consistently having larger volumes than females ( < 0.05). Post hoc analyses confirmed significant differences between age groups, and regression analysis indicated that gender was a stronger predictor of tongue volume than age. This study highlights the impact of age and gender on tongue volume, emphasizing the need for demographic-specific approaches in the evaluation and management of airway-related conditions. The simplified measurement method offers a practical solution for large-scale studies, providing baseline data for future research and clinical applications. These findings pave the way for personalized diagnostic thresholds and therapeutic strategies in conditions like OSA.

摘要

舌部解剖结构在诸如阻塞性睡眠呼吸暂停(OSA)等气道相关疾病中起着关键作用。了解不同年龄和性别的舌体积变化对于完善诊断和治疗策略至关重要。本研究旨在使用简化的几何方法建立舌体积的基线数据,以填补大规模解剖学评估方面的空白,特别是针对无OSA临床指征的无症状患者。这项回顾性横断面研究纳入了120名年龄在18至75岁之间的无症状患者,分为三个年龄组(18 - 40岁、41 - 60岁、61岁及以上)。通过颈部CT扫描测量前后长度、宽度和高度,并应用几何近似公式来估计舌体积。采用包括方差分析和事后检验在内的统计分析方法来评估不同年龄组之间以及性别之间的差异。回归分析考察了年龄和性别对舌体积的影响。舌体积随着年龄的增长而显著下降(<0.05),61岁及以上年龄组的舌体积最小。性别差异显著,男性的舌体积始终大于女性(<0.05)。事后分析证实了年龄组之间存在显著差异,回归分析表明性别比年龄更能预测舌体积。本研究强调了年龄和性别对舌体积的影响,强调在评估和管理气道相关疾病时需要采用针对特定人群的方法。这种简化的测量方法为大规模研究提供了一种实用的解决方案,为未来的研究和临床应用提供了基线数据。这些发现为OSA等疾病的个性化诊断阈值和治疗策略铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/029c/11817515/502032f71536/diagnostics-15-00322-g001.jpg

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