磁力共振成像用于诊断四肢腰带肌肉发育不良
Carla Bolano-Díaz1, José Verdú-Díaz1, Jordi Díaz-Manera1,2,3
1The John Walton Muscular Dystrophy Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Current opinion in neurology
|August 12, 2024
概括
肌肉MRI有助于诊断四肢腰带肌肉发育不良 (LGMD),但复杂的模式需要专业知识. 人工智能工具正在出现,以帮助临床医生准确识别这些神经肌肉疾病.
科学领域:
- 神经肌肉疾病 神经肌肉疾病
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 肌肉MRI模式对于诊断各种神经肌肉疾病至关重要.
- 越来越多的出版物提供了广泛的诊断信息,但需要大量的专业知识来解释.
- 由于肌肉参与的模式多样化,对四肢腰带肌肉发育不良 (LGMDs) 的现有诊断方法可能很复杂.
研究的目的:
- 审查四肢腰带肌肉发育不良 (LGMDs) 中的主要肌肉参与模式.
- 总结利用人工智能 (AI) 在LGMDs诊断中的策略.
- 突出肌肉MRI在诊断神经肌肉疾病中的作用.
主要方法:
- 关于LGMDs肌肉参与模式的文献综述.
- 对肌肉MRI中的人工智能应用现有研究的分析.
- 综合关于LGMDs诊断策略的信息.
主要成果:
- 虽然常见的LGMD具有明确的肌肉参与模式,但更罕见的形式缺乏足够的数据.
- 许多研究只关注骨盆和下肢肌肉,提供了一个不完整的诊断图片.
- 人工智能工具在预测疾病子集的诊断方面表现出很高的准确性.
结论:
- 肌肉MRI仍然是LGMD和其他神经肌肉疾病的宝贵诊断辅助.
- 肌肉参与模式的复杂性对常规临床应用提出了挑战.
- 可访问的机器学习算法正在变得可用,以帮助全球医学界进行诊断.
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