Harrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio.
Cardiovascular Research Center, OLV Hospital, Aalst, Belgium; The Lambe Institute for Translational Medicine and CURAM, National University of Ireland, Galway, Ireland.
JACC Cardiovasc Interv. 2018 Aug 13;11(15):1467-1478. doi: 10.1016/j.jcin.2018.06.049.
This study sought to compare conventional methodology (CM) with a newly described optical coherence tomography (OCT)-derived volumetric stent expansion analysis in terms of fractional flow reserve (FFR)-derived physiology and device-oriented composite endpoints (DoCE).
The analysis of coronary stent expansion with intracoronary imaging has used CM that relies on the analysis of selected single cross-sections for several decades. The introduction of OCT with its ability to perform semiautomated volumetric analysis opens opportunities to redefine optimal stent expansion.
A total of 291 lesions treated with post-stent OCT and FFR were enrolled. The expansion index was calculated by using a novel volumetric algorithm and was defined as: ([actual lumen area / ideal lumen area] × 100) for each frame of the stented segment. The minimum expansion index (MEI) was defined as the minimum value of expansion index along the entire stented segment. MEI and conventional lumen expansion metrics were compared for the ability to predict post-stent low FFR (<0.90) and DoCE at 1 year.
There was a stronger correlation between MEI and final FFR, compared with CM and final FFR (r = 0.690; p < 0.001) versus (r = 0.165; p = 0.044). MEI was significantly lower in patients with DoCE than those without DoCE (72.18 ± 8.23% vs. 81.48 ± 11.03%; p < 0.001), although stent expansion by CM was similar between patients with and without DoCE (85.05 ± 22.19% and 83.73 ± 17.52%; p = 0.858), respectively.
OCT analysis of stent expansion with a newly described volumetric method, but not with CM, yielded data that were predictive of both an acute improvement in FFR-derived physiology and DoCE.
本研究旨在比较传统方法(CM)和新描述的光学相干断层扫描(OCT)衍生的容积支架扩张分析在血流储备分数(FFR)衍生的生理学和器械导向复合终点(DoCE)方面的表现。
几十年来,冠状动脉支架扩张的血管内成像分析一直采用依赖于对多个选定的单个横截面进行分析的 CM。OCT 的引入及其进行半自动容积分析的能力为重新定义最佳支架扩张提供了机会。
共纳入 291 例接受支架后 OCT 和 FFR 治疗的病变。通过一种新的容积算法计算扩张指数,定义为:(支架节段每个帧的[实际管腔面积/理想管腔面积]×100)。最小扩张指数(MEI)定义为支架段全长的最小扩张指数值。比较 MEI 和传统管腔扩张指标预测支架内低 FFR(<0.90)和 1 年 DoCE 的能力。
与 CM 和最终 FFR 相比,MEI 与最终 FFR 的相关性更强(r=0.690;p<0.001),而(r=0.165;p=0.044)。与无 DoCE 的患者相比,有 DoCE 的患者 MEI 显著降低(72.18±8.23% vs. 81.48±11.03%;p<0.001),尽管 CM 测量的支架扩张在有和无 DoCE 的患者之间相似(85.05±22.19%和 83.73±17.52%;p=0.858)。
使用新描述的容积方法进行支架扩张的 OCT 分析,而不是 CM,提供的数据可预测 FFR 衍生生理学和 DoCE 的急性改善。