Department of Infection, Immunity and Cardiovascular Disease, The Medical School, University of Sheffield, Sheffield, UK.
Department of Cardiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Sci Rep. 2021 Oct 4;11(1):19694. doi: 10.1038/s41598-021-99065-7.
Three dimensional (3D) coronary anatomy, reconstructed from coronary angiography (CA), is now being used as the basis to compute 'virtual' fractional flow reserve (vFFR), and thereby guide treatment decisions in patients with coronary artery disease (CAD). Reconstruction accuracy is therefore important. Yet the methods required remain poorly validated. Furthermore, the magnitude of vFFR error arising from reconstruction is unkown. We aimed to validate a method for 3D CA reconstruction and determine the effect this had upon the accuracy of vFFR. Clinically realistic coronary phantom models were created comprosing seven standard stenoses in aluminium and 15 patient-based 3D-printed, imaged with CA, three times, according to standard clinical protocols, yielding 66 datasets. Each was reconstructed using epipolar line projection and intersection. All reconstructions were compared against the real phantom models in terms of minimal lumen diameter, centreline and surface similarity. 3D-printed reconstructions (n = 45) and the reference files from which they were printed underwent vFFR computation, and the results were compared. The average error in reconstructing minimum lumen diameter (MLD) was 0.05 (± 0.03 mm) which was < 1% (95% CI 0.13-1.61%) compared with caliper measurement. Overall surface similarity was excellent (Hausdorff distance 0.65 mm). Errors in 3D CA reconstruction accounted for an error in vFFR of ± 0.06 (Bland Altman 95% limits of agreement). Errors arising from the epipolar line projection method used to reconstruct 3D coronary anatomy from CA are small but contribute to clinically relevant errors when used to compute vFFR.
三维(3D)冠状动脉解剖结构,通过冠状动脉造影(CA)重建,现在被用作计算“虚拟”血流储备分数(vFFR)的基础,从而指导冠心病患者的治疗决策。因此,重建的准确性很重要。然而,所需的方法仍然验证不足。此外,由于重建引起的 vFFR 误差的幅度未知。我们旨在验证一种 3D CA 重建方法,并确定其对 vFFR 准确性的影响。使用铝制成的七个标准狭窄和 15 个基于患者的 3D 打印模型创建了临床逼真的冠状动脉模型,用 CA 对其进行了三次成像,每次成像都根据标准临床方案进行了三次,共生成了 66 个数据集。每个数据集都使用对极线投影和交点进行重建。根据最小内腔直径、中心线和表面相似性,将所有重建与真实的幻影模型进行比较。对 3D 打印重建(n=45)和打印它们的参考文件进行了 vFFR 计算,并比较了结果。重建最小内腔直径(MLD)的平均误差为 0.05(±0.03mm),与卡尺测量值相比 <1%(95%CI 0.13-1.61%)。整体表面相似性极好(Hausdorff 距离为 0.65mm)。3D CA 重建中的误差导致 vFFR 的误差为±0.06(Bland Altman 95%一致性界限)。用于从 CA 重建 3D 冠状动脉解剖结构的对极线投影方法引起的误差较小,但在用于计算 vFFR 时会导致临床相关的误差。