保持比率受损的螺旋计:临床,成像和人工智能视角
Qianxi Jin1, Ziwei Zhang1, Taohu Zhou1
1Department of Radiology, Second Affiliated Hospital of Naval Medical University, Shanghai, China.
保留比率受损螺旋计 (PRISm) 是COPD前的肺部模式. 先进的成像和人工智能在诊断,评估和预测PRISM患者的结果方面表现有前途.
科学领域:
- 肺部医学 肺部医学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 保持比率受损螺旋计 (PRISm) 是一个独特的肺功能模式.
- 它被认为是慢性阻塞性肺病 (COPD) 的前体,并与呼吸系统症状,肥胖,吸烟和心血管/代谢疾病有关.
研究的目的:
- 审查PRISm的流行病学,并发病症和临床结果.
- 强调先进的成像技术 (CT,MRI) 和人工智能在PRISM诊断,评估和预后中的作用.
主要方法:
- 审查关于PRISm的现有文献.
- 强调使用计算机断层扫描 (CT) 和磁共振成像 (MRI) 进行定量肺部评估.
- 讨论人工智能 (AI) 在预测PRISM子类型和通风功能的过程中.
主要成果:
- PRISm与各种并发症有关,并且预后可变,从肺功能改善到COPD发展.
- 综合成像提供了对肺部结构和功能的定量评估.
- 核磁共振可以直接量化通风和血液流动,而人工智能则具有预测建模的潜力.
结论:
- 先进的成像,包括CT和MRI,对于诊断和评估PRISm至关重要.
- 人工智能应用正在出现,用于PRISm亚型预测和功能建模.
- 进一步研究成像,特别是X射线和AI,是PRISM管理的必要条件.
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