基于CT的血栓放射学诺米克图用于预测机械血栓切除术期间的二次栓塞,用于大血管封闭
Shadamu Yusuying1,2, Yao Lu3,4, Shun Zhang1
1Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Frontiers in neurology
|May 30, 2023
概括
一个新的名图准确地预测了在大血管封闭性中风机械血栓切除术期间的二次栓塞. 这种工具可以通过识别患有这种并发症高风险的患者来优化治疗.
科学领域:
- 神经学 神经学
- 干预性放射学 干预性放射学
- 医疗成像医学成像
背景情况:
- 二次栓塞 (SE) 是用于大脑大血管封闭 (LVO) 的机械血栓切除术 (MT) 的并发症,可能会恶化患者的结果.
- 目前用于预测SE的工具的准确性有限,需要改进预测模型.
研究的目的:
- 开发和验证一个nomogram预测SE后的MT为LVO.开发和验证一个nomogram.
- 从CT图像中整合临床特征和放射学,以提高预测准确度.
主要方法:
- 一项回顾性研究包括61名用MT治疗的LVO中风患者.
- 从预干预CT图像中提取了血栓放射特征;收集了临床数据.
- 一个支持向量机模型被用来开发临床和放射学签名,结合成一个名ogram.
主要成果:
- 结合的临床-放射学名图显示,在训练和测试队伍中都表现出卓越的预测性能.
- 在训练队伍中,曲线下的面积 (AUC) 值为0.963 (组合),0.911 (放射学) 和0.891 (临床).
- 验证的AUC为0.762 (组合),0.714 (放射性) 和0.637 (临床).
结论:
- 一个结合的临床和放射学名图有效预测SE在患者接受MT为LVO.
- 这种预测工具可以通过评估SE风险来帮助优化MT程序.
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