一种评估肺体积的新方法:AI-3D重建.
Wang Rui1,2, Shang Yuhang1, Li Yang1
1Department of Thoracic Surgery, The First Hospital of Jilin University, Changchun, China.
Frontiers in physiology
|October 2, 2023
概括
人工智能 (AI) 3D重建精确测量肺体积,显示肺移植尺寸匹配的潜力. 这种方便的方法提供了一种有价值的工具,用于改善在肺移植中捐赠者-接受者兼容性.
科学领域:
- 医疗成像医学成像
- 胸部外科手术 胸部外科手术
- 人工智能在医学中的应用
背景情况:
- 精确的肺体积测量对于成功的肺移植至关重要.
- 传统的肺体积评估方法有其局限性.
- 人工智能驱动的3D重建为体积分析提供了一种新的方法.
研究的目的:
- 评估AI-3D重建系统用于肺体积测量的临床实用性.
- 评估人工智能衍生的肺体积在供体-接受体大小匹配中对肺移植的实际价值.
主要方法:
- 追溯分析了从75名接受囊造影和CT扫描的受试者的数据.
- 来自囊造影的实际肺总体积 (aTLV) 与预测的肺总体积 (pTLV) 和AI-3D重建CT肺体积 (AI-3DCTVol) 的比较.
- 对整体,男性和女性组进行的相关性和绝对误差分析.
主要成果:
- 在所有参与者中,AI-3D重建显示出与实际的肺总体积 (ICC=0.792) 有显著的相关性.
- 与男性相比,AI-3D重建在女性 (ICC=0.615) 的准确性更高 (ICC=0.413).
- 两种AI-3D重建和pTLV公式都显示了与plethysmography值 (p<0.05) 相比的统计差异.
结论:
- 人工智能3D重建是评估肺体积的方便和有前途的方法.
- 这项技术具有很大的潜力,可以在肺移植中改善捐赠者-接受者尺寸匹配.
- 进一步的研究可能会在移植前的评估中改进人工智能应用.
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