Baumann Stefan, Wang Rui, Schoepf U Joseph, Steinberg Daniel H, Spearman James V, Bayer Richard R, Hamm Christian W, Renker Matthias
Heart & Vascular Center, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, Charleston, SC, 29425-2260, USA.
Eur Radiol. 2015 Apr;25(4):1201-7. doi: 10.1007/s00330-014-3482-5. Epub 2014 Nov 18.
The present study aimed to determine the feasibility of a novel fractional flow reserve (FFR) algorithm based on coronary CT angiography (cCTA) that permits point-of-care assessment, without data transfer to core laboratories, for the evaluation of potentially ischemia-causing stenoses.
To obtain CT-based FFR, anatomical coronary information and ventricular mass extracted from cCTA datasets were integrated with haemodynamic parameters. CT-based FFR was assessed for 36 coronary artery stenoses in 28 patients in a blinded fashion and compared to catheter-based FFR. Haemodynamically relevant stenoses were defined by an invasive FFR ≤0.80. Time was measured for the processing of each cCTA dataset and CT-based FFR computation. Assessment of cCTA image quality was performed using a 5-point scale.
Mean total time for CT-based FFR determination was 51.9 ± 9.0 min. Per-vessel analysis for the identification of lesion-specific myocardial ischemia demonstrated good correlation (Pearson's product-moment r = 0.74, p < 0.0001) between the prototype CT-based FFR algorithm and invasive FFR. Subjective image quality analysis resulted in a median score of 4 (interquartile ranges, 3-4).
Our initial data suggest that the CT-based FFR method for the detection of haemodynamically significant stenoses evaluated in the selected population correlates well with invasive FFR and renders time-efficient point-of-care assessment possible.
• CT-based FFR computation is a promising novel non-invasive application. • A novel prototype algorithm permits time-efficient point-of-care CT-based FFR assessment. • Initial results of the CT-based FFR prototype algorithm compare favourably with FFR.
本研究旨在确定一种基于冠状动脉CT血管造影(cCTA)的新型血流储备分数(FFR)算法的可行性,该算法允许在床旁进行评估,无需将数据传输至核心实验室,用于评估可能导致缺血的狭窄病变。
为了获得基于CT的FFR,从cCTA数据集中提取的冠状动脉解剖信息和心室质量与血流动力学参数相结合。以盲法对28例患者的36处冠状动脉狭窄进行基于CT的FFR评估,并与基于导管的FFR进行比较。血流动力学相关狭窄定义为有创FFR≤0.80。测量处理每个cCTA数据集和基于CT的FFR计算所需的时间。使用5分制对cCTA图像质量进行评估。
基于CT的FFR测定的平均总时间为51.9±9.0分钟。对病变特异性心肌缺血识别的逐血管分析显示,基于CT的FFR原型算法与有创FFR之间具有良好的相关性(Pearson积矩相关系数r = 0.74,p < 0.0001)。主观图像质量分析的中位数评分为4分(四分位间距,3 - 4分)。
我们的初步数据表明,在选定人群中评估血流动力学显著狭窄的基于CT的FFR方法与有创FFR具有良好的相关性,并使高效的床旁评估成为可能。
• 基于CT的FFR计算是一种有前景的新型非侵入性应用。• 一种新型原型算法允许进行高效的基于CT的床旁FFR评估。• 基于CT的FFR原型算法的初步结果与FFR相比具有优势。