Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank
Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank
复制标题
DOI：
10.1186/s12968-019-0551-6
复制
发表时间：
2019-07-18
影响因子：
6.4
通讯作者：
Young, Alistair A.
中科院分区：
文献类型：
--
作者：
Mauger, Charlene;Gilbert, Kathleen;Young, Alistair A.
背景心血管疾病(CVD)危险因素与右室和左室的双室几何形状之间的关系由于微妙而复杂的形态变化而难以评估。我们试图量化参考右室形态以及与常见心血管危险因素相关的双室变异。方法使用4329项英国生物库心血管磁共振(CMR)研究的等高线和地标，自动构建双室形态图谱。利用微分同胚配准算法将细分曲面几何网格定制为轮廓，并自动校正由于屏气位置不同而引起的切片偏移。确定了一个由630名没有心血管疾病危险因素的参与者组成的参考子队列。形态计量学评分通过线性回归计算，量化与四个危险因素(高胆固醇、高血压、肥胖和吸烟)和三个疾病因素(糖尿病、既往心肌梗死和心绞痛)相关的形态变化。结果该图谱能够准确地表示舒张末和收缩末期的三维形态，表面和等高线之间的拟合误差可接受(平均误差小于1.5 mm)。在所有因素中，与传统的质量和体积测量相比，寰椎形状特征具有更强的相关性(p
BackgroundThe associations between cardiovascular disease (CVD) risk factors and the biventricular geometry of the right ventricle (RV) and left ventricle (LV) have been difficult to assess, due to subtle and complex shape changes. We sought to quantify reference RV morphology as well as biventricular variations associated with common cardiovascular risk factors.MethodsA biventricular shape atlas was automatically constructed using contours and landmarks from 4329 UK Biobank cardiovascular magnetic resonance (CMR) studies. A subdivision surface geometric mesh was customized to the contours using a diffeomorphic registration algorithm, with automatic correction of slice shifts due to differences in breath-hold position. A reference sub-cohort was identified consisting of 630 participants with no CVD risk factors. Morphometric scores were computed using linear regression to quantify shape variations associated with four risk factors (high cholesterol, high blood pressure, obesity and smoking) and three disease factors (diabetes, previous myocardial infarction and angina).ResultsThe atlas construction led to an accurate representation of 3D shapes at end-diastole and end-systole, with acceptable fitting errors between surfaces and contours (average error less than 1.5mm). Atlas shape features had stronger associations than traditional mass and volume measures for all factors (p