影像:过去,现在和未来
William H Theodore1, Sara K Inati1, Sophie Adler2
1National Institutes of Health, Bethesda, MD, USA.
Epilepsy currents
|June 23, 2025
概括
先进的神经成像,包括磁共振成像 (MRI) 和功能技术,对于的诊断和术前规划至关重要. 人工智能正在出现,以检测患者的微妙病变.
科学领域:
- 神经学 神经学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 传统的成像方法往往不舒服,效果不佳.
- 计算机断层扫描 (CT) 仍然用于急性的成像.
- 结构磁共振成像 (MRI) 现在是评估的主要工具.
研究的目的:
- 审查神经成像在评估中的演变和当前作用.
- 突出先进的成像技术在术前规划和了解病理生理学的重要性.
- 介绍人工智能 (AI) 在检测与有关的微妙病变方面的潜力.
主要方法:
- 关于神经成像治疗病的进展情况的回顾.
- 讨论功能性成像技术,如PET,SPECT和fMRI用于术前评估.
- 在用于病变检测的大型MRI数据集上探索AI和机器学习应用.
主要成果:
- 结构性MRI是评估的主要方式.
- 功能成像 (PET,SPECT,fMRI) 有助于术前规划和认知映射.
- 人工智能/机器学习在识别视觉上无法检测到的病变方面表现有前途,例如焦点皮层发育不良.
结论:
- 现代神经影像显著改善了的诊断和管理.
- 人工智能驱动的病病变检测显示出潜力,但需要进一步验证和临床整合.
- 神经成像是诊断,监测和评估遗传代谢性的治疗反应的组成部分.
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