Mori Shumpei, Takaya Tomofumi, Kinugasa Mitsuo, Ito Tatsuro, Takamine Sachiko, Fujiwara Sei, Nishii Tatsuya, Kono Atsushi K, Inoue Takeshi, Satomi-Kobayashi Seimi, Rikitake Yoshiyuki, Okita Yutaka, Hirata Ken-ichi
Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Division of Cardiovascular Medicine, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Atherosclerosis. 2015 Apr;239(2):622-8. doi: 10.1016/j.atherosclerosis.2014.12.041. Epub 2014 Dec 24.
Three-dimensional (3-D) visualization and quantification of vascular calcification (VC) are important to accelerate the multidisciplinary investigation of VC. Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcification (AC), quantification methods appear to vary among studies. The aim of this study was to introduce a simple technique of simultaneous quantification and 3-D visualization of AC and provide validation data.
The main study comprised of 126 patients who underwent the thoracoabdominal plain computed tomography scan as preoperative general evaluation. AC was quantified using a volume-rendering (VR) method (VR AC volume) by extracting the volume with a density ≥130 HU within the total aorta. The concordance and reproducibility of the VR AC volume were validated in comparison with the conventional slice-by-slice voxel-based AC quantification (volumetric AC score) using the Agatston scoring software.
Excellent concordance between the VR AC volume and volumetric AC score was confirmed (Spearman correlation coefficient = 0.9997, mean difference = -0.05 ± 0.23 mL, p <0.0001). Excellent intraobserver and interobserver reliabilities were demonstrated using the Bland-Altman analysis as the mean intraobserver difference was 0.00 mL (p = 0.9863) and the mean interobserver difference was -0.01 mL (p = 0.6612).
The VR method was validated to be feasible. This simple approach could overcome the limitation of the current method based on slice-by-slice pixel or voxel summation, which lacks 3-D visual information. Accordingly, this approach would be promising for accelerating the investigation of VC.
血管钙化(VC)的三维(3-D)可视化和量化对于加速VC的多学科研究至关重要。阿加斯顿评分是评估冠状动脉钙化的标准方法。然而,关于主动脉钙化(AC),各研究中的量化方法似乎有所不同。本研究的目的是介绍一种同时对AC进行量化和3-D可视化的简单技术,并提供验证数据。
主要研究包括126例接受胸腹平扫计算机断层扫描作为术前常规评估的患者。通过在整个主动脉内提取密度≥130 HU的体积,使用容积再现(VR)方法(VR AC体积)对AC进行量化。与使用阿加斯顿评分软件的传统逐片体素AC量化(容积AC评分)相比,验证了VR AC体积的一致性和可重复性。
证实VR AC体积与容积AC评分之间具有极好的一致性(斯皮尔曼相关系数 = 0.9997,平均差异 = -0.05 ± 0.23 mL,p <0.0001)。使用布兰德-奥特曼分析显示了极好的观察者内和观察者间可靠性,因为观察者内平均差异为0.00 mL(p = 0.9863),观察者间平均差异为-0.01 mL(p = 0.6612)。
VR方法被验证是可行的。这种简单方法可以克服当前基于逐片像素或体素求和方法的局限性,该方法缺乏3-D视觉信息。因此,这种方法对于加速VC的研究具有前景。