脑内动脉瘤不稳定的三维量化形态预测因素:一个纵向研究
Maarten J Kamphuis1, Laura T van der Kamp1, Ruben P A van Eijk1
1From the Department of Radiology (M.J.K., J.H., I.C.v.d.S.), Department of Neurology and Neurosurgery, UMC Utrecht Brain Center (M.J.K., L.T.v.d.K., R.P.A.v.E., M.D.I.V., G.J.E.R.), Biostatistics & Research Support, Julius Center for Health Sciences and Primary Care (R.P.A.v.E), and the Image Sciences Institute (K.M.T.), University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
AJNR. American journal of neuroradiology
|April 18, 2025
概括
这项研究确定了主要轴和形状指数作为未破裂的内动脉瘤 (UIA) 破裂的关键3D形态预测因素. 这些参数显示了改善UIA增长和断裂预测模型的前景.
科学领域:
- 神经外科 神经外科
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 目前对内动脉瘤生长和破裂的预测模型是不理想的.
- 需要使用标准化的形态参数进行纵向研究.
- 三维 (3D) 量化形态参数可能会提高预测准确性.
研究的目的:
- 确定标准化的3D量化形态参数作为动脉瘤生长或破裂的预测因素.
- 在纵向研究中评估这些参数的预测性能.
- 为了提高内动脉瘤管理的准确性.
主要方法:
- 使用未破裂内动脉瘤 (UIA) 数据库进行回顾性病例-队列设计.
- 在基线CTA或MRA图像上对动脉瘤的注释和3D形态参数的量化.
- 应用单变量和多变量考克斯比例危险模型,采用反向采样概率权重.
主要成果:
- 总共分析了327个动脉瘤;73%的动脉瘤保持稳定,21%的动脉瘤生长,2%的动脉瘤生长并破裂,4%的动脉瘤破裂而没有生长.
- 主轴和形状指数在增长 (c-统计0.56) 和破裂 (c-统计0.85) 预测的多变量模型中被保留.
- 形状指数显示,破裂 (HR 3.33) 的预测能力高于生长 (HR 1.53).
结论:
- 主轴和形状指数是UIA生长和破裂的候选3D形态预测指标.
- 这些参数在研究的队列中表现出良好的分辨力来预测破裂.
- 临床应用需要外部验证和与现有临床模型的整合.
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