神经损伤与功能重建2026，Vol.21Issue(8)：466-471,6.DOI:10.16780/j.cnki.sjssgncj.20260110
人工智能在内淋巴积水影像学诊断中的应用进展
Advances in the Application of Artificial Intelligence in the Imaging Diagnosis of Endolymphatic Hydrops
薛思儒 1朱子明 1刘水 2祁晓媛 3汪建荣 4崔世磊 5杨本涛 6杨旭1
作者信息
- 1. 北京大学第一医院神经内科 北京 102627
- 2. 航天中心医院(北京大学航天临床医学院)影像科 北京 100049
- 3. 沧州市中心医院神经内科 河北沧州 061001
- 4. 锦州医科大学附属第一医院神经内科 辽宁锦州 121001
- 5. 北京同仁医院神经内科,北京 100005
- 6. 北京同仁医院影像科 北京 100005
- 折叠
摘要
Abstract
Endolymphatic hydrops(EH)serves as a crucial pathological basis for various vestibular disorders and holds particular significance in the diagnosis of Meniere's disease.With the continuous advancement of mag-netic resonance imaging(MRI)technology,especially the application of delayed gadolinium-enhanced delayed 3D-FLAIR sequences,the capability for imaging diagnosis of EH has been significantly enhanced.Clinically,the interpretation of inner ear hydrops imaging often relies on experienced experts;however,this process is high-ly subjective and time-consuming,posing a substantial challenge to the precise diagnosis of peripheral vestibular disorders.In recent years,the application of artificial intelligence(AI),particularly deep learning-based image analysis methods,has provided a novel solution for the rapid and objective assessment of EH.This article re-views the fundamental principles of radiomics and AI in EH diagnosis,the current status of their application in interpreting inner ear hydrops imaging,existing challenges,and future development directions.It aims to pro-vide theoretical support and technical reference for the precise diagnosis and personalized treatment of inner ear diseases.关键词
影像组学/人工智能/内耳积水/MRI钆造影/自动化判读Key words
radiomics/artificial intelligence/endolymphatic hydrops/gadolinium-enhanced MRI/automated image interpretation分类
医药卫生引用本文复制引用
薛思儒,朱子明,刘水,祁晓媛,汪建荣,崔世磊,杨本涛,杨旭..人工智能在内淋巴积水影像学诊断中的应用进展[J].神经损伤与功能重建,2026,21(8):466-471,6.
