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相关概念视频

Brain Imaging01:14

Brain Imaging

235
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
235

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关于人工智能成像数据库在急性中风成像中的拟议协议

Minjae Kim1, Seung Chai Jung1, Soo Chin Kim1

  • 1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Neurointervention
|October 17, 2023
PubMed
概括

标准化急性中风成像协议对于建立人工智能 (AI) 数据库至关重要. 目前的做法有很大的差异,需要在中风护理中开发AI的常用协议.

关键词:
剧烈的中风是一次急性中风.人工智能的人工智能是人工智能.脑血管中风是因为脑血管中风.

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科学领域:

  • 神经成像是一种神经成像.
  • 人工智能在医学中的应用
  • 脑卒中管理 脑卒中管理

背景情况:

  • 目前在韩国三级医院的急性中风成像协议中存在显著的异质性.
  • 现有的变异对开发强大的人工智能 (AI) 数据库来诊断和管理中风构成了挑战.
  • 不断发展的AI模型需要特定的成像序列来实现准确的诊断和预后应用.

研究的目的:

  • 提出标准化和可行的成像协议,用于在急性中风中构建人工智能 (AI) 数据库.
  • 评估韩国三级医院当前的急性中风成像实践.
  • 审查AI模型对中风成像数据的要求.

主要方法:

  • 韩国43家三级医院的全国性调查关于急性中风成像协议 (2021年4月至5月).
  • 在早期/晚期窗口和随访中对内血管血栓切除术 (EVT) 的成像方案的评估.
  • 对中风成像中的临床AI应用和AI模型开发的数据要求的审查.

主要成果:

  • 在EVT候选人的成像方案中观察到相当多的异质性,特别是在晚期时间窗口和后部循环中风中.
  • 基于计算机断层扫描 (CT) 的协议普遍存在 (70%),单次非对比CT,CT血管学和CT输液是常见的.
  • 磁共振成像 (MRI) 的使用在晚期窗口/后部循环中增加;扩散加权成像 (DWI) 和FLAIR是最常见的,但有变化.
  • 人工智能诊断模型主要需要非对比CT,CT血管造影和DWI;预后模型还需要FLAIR,动态敏感度对比输液和T1加权成像 (T1WI).

结论:

  • 由于当前急性中风成像实践的异质性,标准化和可行的成像协议至关重要.
  • 人工智能数据库构建的基本序列包括非对比CT,DWI,CT/MR血管学和CT/MR输液.
  • 对于特定的人工智能应用,特别是预后建模,可能还需要FLAIR和T1WI.