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对于超声波-动脉样硬化相关性和前部循环中诊断验证的LASSO-Nomogram模型

Yi Liu¹, Pan Cheng¹, Xinying Jia²

¹Department of Ultrasound, Tianjin Huanhu Hospital, Tianjin, China.

Frontiers in neurology

|October 29, 2025

概括

部血管超声波和间多普勒超声波 (TCD) 有效地评估前循环动脉样硬化. 一种新的LASSO-Nomogram模型有助于临床医生预测疾病严重程度并改善患者管理.

科学领域:

血管超声波是指血管超声波.
神经学神经学
医疗成像医学成像

背景情况:

前循环大脑动脉样硬化对健康构成重大风险.
精确评估动脉样硬化严重程度对于有效的患者管理至关重要.
现有的方法可能缺乏全面的预测能力.

研究的目的:

为了研究部血管超声波/横多普勒超声波 (TCD) 参数与前循环大脑动脉样硬化严重程度之间的关系.
开发一个LASSO-Nomogram预测模型,用于临床评估动脉样硬化严重程度.

主要方法:

对350名前循环动脉样硬化患者的回顾性分析.
数据收集包括人口统计,脂质资料和超声参数 (心脏状腺IMT,斑块稳定性,狭窄,MCA血液动力学).
使用LASSO回归来识别名录构造和验证的关键预测因子.

主要成果:

拉索回归确定了年龄,HDL,LDL,心动脉IMT,斑块稳定性,狭窄率和MCA血液动力学 (PSV,EDV,RI) 作为关键预测因素.
多变量分析显示HDL和稳定斑块是保护因素,而LDL,心动脉IMT,MCA-PSV,MCA-EDV和RI是危险因素.
LASSO-Nomogram模型显示出优异的区分 (C指数为0.850培训,0.796验证) 和临床实用性.

结论:

宫血管超声波和TCD参数准确地反映了前循环动脉样硬化的严重程度.
开发的LASSO-Nomogram模型为个性化风险评估提供了一个可靠的可视化工具.
这种预测模型有可能改善临床决策和患者管理策略.

关键词:

拉索回归法 (Lasso Regression) 是一种回归法.前循环大脑动脉样硬化前循环大脑动脉样硬化宫血管的彩色多普勒超声波.相关性相关性相关性诊断模型诊断模型诊断模型命名图形模型命名图形模型通过的多普勒超声波.

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