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相关概念视频

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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基于计算机断层扫描的机器学习用于移植前的供体肺部查.

Sundaresh Ram1, Stijn E Verleden2, Madhav Kumar3

  • 1Department of Radiology, University of Michigan, Ann Arbor, Michigan; Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
|October 1, 2023
PubMed
概括

使用计算机断层扫描 (CT) 扫描的新机器学习算法可以客观地选供体肺部进行移植. 这种人工智能工具可以识别患移植后并发症风险较高的肺部,从而改善接受者的治疗结果.

关键词:
计算机断层扫描 (CT) 是一种计算机断层扫描.词典学习 词典学习进行捐赠者评估.供体肺部查 供体肺部查肺移植 肺移植 肺移植机器学习是机器学习.主要移植功能障碍主要移植功能障碍

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科学领域:

  • 医疗成像医学成像
  • 人工智能的人工智能
  • 肺部医学 肺部医学

背景情况:

  • 捐赠肺的选择目前是主观的,缺乏标准化的标准,导致低于最佳利用率.
  • 对捐赠肺的需求日益增加,需要客观的查方法来匹配不断变化的捐赠池.
  • 活体计算机断层扫描 (CT) 成像为客观肺部评估提供了一个潜在的解决方案.

研究的目的:

  • 研究基于CT的机器学习算法的有效性,用于客观的ex vivo供体肺部查.
  • 开发一种人工智能工具,可以帮助识别适合移植的供体肺部,并预测接受者的结果.
  • 为了提高供体肺部选择的准确性,并减少移植后的并发症.

主要方法:

  • 一项前性临床试验收集了100例供体肺病例的CT扫描和临床数据.
  • 在CT图像上训练了一个受监督的机器学习算法 (词典学习),以对肺部适应性进行分类.
  • 算法的性能与标准临床评估和接受者的临床结果进行了评估.

主要成果:

  • 机器学习算法在供体肺部CT扫描上成功检测到肺部异常.
  • 在移植的肺部中,该算法在两年内确定了具有显著更高风险的接受者 (19x) 慢性肺部全移植功能障碍.
  • 算法的发现与某些接受者在重症监护室停留时间的延长有关.

结论:

  • 使用CT和机器学习开发出一种用于ex vivo供体肺部查的新策略.
  • 客观的查技术对于准确评估供体肺部和识别高风险接受者至关重要.
  • 这种人工智能驱动的方法旨在改善捐赠肺的利用率,并减轻移植后的并发症.