Horbal Steven R, Brown Edward, Derstine Brian A, Zhang Peng, Bidulescu Aurelian, Sullivan June A, Ross Brian E, Su Grace L, Holcombe Sven A, Wang Stewart C
Morphomic Analysis Group, University of Michigan, Ann Arbor, MI, USA.
Indiana University School of Public Health, Bloomington, IN, USA.
Clin Imaging. 2022 Mar;83:51-55. doi: 10.1016/j.clinimag.2021.11.022. Epub 2021 Dec 1.
Aortic wall calcification shows strong promise as a cardiovascular risk factor. While useful for visual enhancement of vascular tissue, enhancement creates heterogeneity between scans with and without contrast. We evaluated the relationship between aortic calcification in routine abdominal computed tomography scans (CT) with and without contrast.
Inclusion was limited to those with abdominal CT-scans with and without contrast enhancement within 120 days. Analytic Morphomics, a semi-automated computational image processing system, was used to provide standardized, granular, anatomically indexed measurements of aortic wall calcification from abdominal CT-scans. Aortic calcification area (ACA) and aortic wall calcification percent (ACP) and were the outcomes of interest. Multiple linear regression was used to evaluate the relationship of aortic measurements. Models were further controlled for age and sex. Stratification of measurements by vertebral level was also performed.
A positive association was observed for non-contrast calcification in ACP β 0.74 (95% CI 0.72, 0.76) and ACA β 0.44 (95% 0.43, 0.45). Stratified results demonstrated the highest coefficient of determination at L2 for percent and L3 for area models [R 0.91 (ACP) 0.74 (ACA)]. Adjusted lumber-level associations between non-contrast and contrast measurements ranged from (β 0.69-0.82) in ACP and (β 0.37-0.54) in ACA.
A straightforward correction score for comparison of abdominal aortic calcification measurements in contrast-enhanced and non-contrast scans is discussed. Correction of aortic calcification from CT scans can reduce scan heterogeneity and will be instrumental in creating larger cardiovascular cohorts as well as cardiovascular risk surveillance programs.
主动脉壁钙化作为一种心血管危险因素显示出巨大潜力。虽然增强扫描有助于血管组织的可视化,但增强扫描会导致有对比剂和无对比剂扫描之间出现异质性。我们评估了常规腹部计算机断层扫描(CT)中有对比剂和无对比剂情况下主动脉钙化之间的关系。
纳入标准仅限于在120天内进行了有对比剂增强和无对比剂增强的腹部CT扫描的患者。使用分析形态学这一半自动化计算图像处理系统,对腹部CT扫描中的主动脉壁钙化进行标准化、颗粒状、解剖学索引测量。主动脉钙化面积(ACA)和主动脉壁钙化百分比(ACP)是感兴趣的结果。采用多元线性回归评估主动脉测量值之间的关系。模型进一步按年龄和性别进行了校正。还按椎体水平对测量值进行了分层。
在ACP中,无对比剂钙化的β值为0.74(95%CI 0.72,0.76),ACA中为β值0.44(95% 0.43,0.45),观察到正相关。分层结果显示,百分比模型在L2水平和面积模型在L3水平的决定系数最高[R 0.91(ACP),0.74(ACA)]。无对比剂和有对比剂测量值之间经调整的腰椎水平关联在ACP中范围为(β 0.69 - 0.82),在ACA中为(β 0.37 - 0.54)。
讨论了一种用于对比增强扫描和非对比扫描中腹主动脉钙化测量值比较的直接校正分数。CT扫描中主动脉钙化的校正可减少扫描异质性,有助于建立更大的心血管队列以及心血管风险监测项目。