重症肌无力眼部肌群定量评估的研究现状与未来趋势*

doi:10.3870/j.issn.1672-0741.25.12.003

摘要/Abstract

摘要： 重症肌无力(myasthenia gravis,MG)是一种由自身抗体介导的、主要累及神经肌肉接头突触后膜的自身免疫性疾病,其核心临床特征为骨骼肌的波动性无力与易疲劳性。其中,波动性上睑下垂和复视常为该疾病的首发症状。对眼外肌功能进行客观、精准和定量的评估,在眼肌型MG的诊断确立、病情监测、疗效评估及预后判断中具有关键意义。传统临床评估方法多依赖主观判断,存在敏感度不足的局限性。近年来,随着数字技术、影像学方法与人工智能领域的迅速发展,眼外肌功能的定量化评估取得了显著进步。该文系统综述当前用于MG患者眼外肌定量评估的技术进展,对比分析各类方法的优势与局限,并对其未来发展方向进行展望。

关键词: 重症肌无力, 眼外肌, 定量评估, 数字化技术, 人工智能

Abstract: Myasthenia gravis(MG)is an autoimmune disorder mediated by autoantibodies that primarily affect the postsynaptic membrane of the neuromuscular junction,with the core clinical features being fluctuating weakness and easy fatigability of skeletal muscles.Among these,fluctuating ptosis and diplopia often present as the initial symptoms.Objective,accurate,and quantitative assessment of extraocular muscle function is of critical significance in the diagnosis establishment,disease monitoring,treatment efficacy evaluation,and prognosis prediction of ocular myasthenia gravis.Traditional clinical assessment methods largely rely on subjective judgment and suffer from insufficient sensitivity.In recent years,with the rapid advancement of digital technology,imaging modalities,and artificial intelligence,substantial progress has been achieved in the quantitative evaluation of extraocular muscle function.This article systematically reviews the current technological advances in quantitative assessment of extraocular muscles in MG patients,compares and analyzes the advantages and limitations of various methods,and provides perspectives on future directions in this field.

Key words: myasthenia gravis, extraocular muscle, quantitative assessment, digital technology, artificial intelligence

中图分类号:

R764.1

张婧祎, 蔡嘉琳, 阎瑾逸, 李志军. 重症肌无力眼部肌群定量评估的研究现状与未来趋势^*[J]. 华中科技大学学报（医学版）, 2026, 55(4): 572-578.

Zhang Jingyi, Cai Jialin, Yan Jinyi, et al. Current Research Status and Future Trends in Quantitative Assessment of Ocular Muscle Groups in Myasthenia Gravis[J]. Acta Medicinae Universitatis Scientiae et Technologiae Huazhong, 2026, 55(4): 572-578.

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重症肌无力眼部肌群定量评估的研究现状与未来趋势^*

Current Research Status and Future Trends in Quantitative Assessment of Ocular Muscle Groups in Myasthenia Gravis

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