基于深度学习的腺体缩的量化及其与儿童阻塞性睡眠呼吸暂停指数的呼吸暂停-呼吸暂停指数的相关性
Jie Cai1, Tianyu Xiu2, Yuliang Song1
1Department of Otorhinolaryngology, Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430000, People's Republic of China.
Nature and science of sleep
|January 1, 2025
概括
一种新的深度学习方法准确地量化了儿童腺缩,显示了与阻塞性睡眠呼吸暂停严重程度的强烈联系. 这有助于诊断儿科阻塞性睡眠呼吸暂停 (OSA).
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 腺体缩是儿科阻塞性睡眠呼吸暂停 (OSA) 的常见原因.
- 精确评估腺增大是诊断和治疗规划的关键.
- 目前用于量化腺体缩的方法可能是主观的和耗时的.
研究的目的:
- 开发一种深度学习 (DL) 方法,用于从鼻镜图像对腺缩的定量评估.
- 调查DL衍生腺与鼻 (A/N) 比率和儿科OSA患者的呼吸暂停-呼吸暂停指数 (AHI) 之间的相关性.
主要方法:
- 使用了来自儿科患者 (3-12岁) 的1500张鼻镜图像的数据集.
- 深度学习细分模型是使用MMSegmentation框架与转移和集体学习开发的.
- 模型性能使用精度,回忆,MIoU,准确性,科恩的卡帕和ROC曲线进行评估. 分析了来自多睡眠图的AHI与AHI的相关性.
主要成果:
- 基于集体学习的SUMNet模型实现了高性能:精度 (0.9616),MIoU (0.8046),准确度 (0.9182) 和Kappa (0.87).
- 在ROC分析中,与专家评估相比,SUMNet表现优越 (AUC=0.85与0.74).
- 在SUMNet衍生的A/N比率和AHI之间发现了强烈的正相关性 (r=0.4452到0.9052).
结论:
- 开发了一种精确可靠的深度学习方法来量化腺体缩.
- DL方法有效地解决了深度学习中有限的样本大小所带来的挑战.
- 腺体缩和AHI之间的显著相关性突显了儿童OSA诊断的临床实用性.
相关概念视频
01:21Sleep Apnea
109
Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...
The condition is more prevalent among...
109
01:29Assessment of Ventilation II: Respiratory Depth and Rhythm
1.3K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
1.3K
01:30Assessment of Airway, Skin Color, and Use of Accessory Muscles
914
A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...
Introduction
The initial evaluation of a patient's respiratory system...
914
01:27Physical Assessment of the Respiratory Tract II: Inspection
175
Physical assessment of the respiratory tract through inspection is a crucial step in understanding the patient's respiratory health. It provides insights into the functioning of the respiratory system, the musculoskeletal structure, and even the patient's nutritional status. This comprehensive approach involves observing several vital aspects: chest configuration, breathing patterns, respiratory rates, skin color, and use of accessory muscles.
Chest Configuration
The chest configuration...
Chest Configuration
The chest configuration...
175