通过计算机断层扫描获得的分数血流储备预测外科血管重建术中的功能性冠状动脉狭窄情况

Min-Seok Kim MD, PhD, MSc , Ah-Jin Ryu PhD , Jung Won Kim MD , Seong Wook Hwang MD , Ki-Bong Kim MD, PhD
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引用次数: 0

摘要

研究目的:(1) 比较计算机断层扫描得出的血流分数储备(CT-FFR)值与移植物通畅性;(2) 确定 CT-FFR 预测冠状动脉旁路移植术(CABG)后竞争性移植物血流的临界值。方法:在 77 位接受了以原位胸内动脉(ITA)为基础的复合移植物的分离式 CABG 的患者中,有 74 位患者在术前接受了心脏 CT 评估,并获得了 CT-FFR 值。对所有 74 名患者进行了术后早期血管造影。血管造影的目的是评估移植物和原生冠状动脉,以发现是否存在竞争性血流。术后血管造影发现的移植物血流分为完全通畅、双向竞争性、单向竞争性和闭塞。对预测术后血管造影竞争的术前 CT-FFR 值进行了接收者操作特征曲线分析,并确定了 CT-FFR 的临界值和曲线下面积。术后(中位 1 [四分位间范围,1,2]天)血管造影显示,196(83.8%)个吻合口完全通畅,25(10.7%)个吻合口为双向竞争性吻合口,12(5.1%)个吻合口为单向竞争性吻合口,1(0.4%)个吻合口闭塞。完全通畅、双向竞争性和单向竞争性移植物冠状动脉的 CT-FFR 中位值分别为 0.658(四分位数间距,0.500,0.725)、0.809(四分位数间距,0.789,0.855)和 0.849(四分位数间距,0.833,0.865)。CT-FFR预测竞争性移植物血流的临界值为0.774(敏感性97.4%;特异性98.5% [曲线下面积0.977;P< .001])。
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Prediction of functional coronary stenosis by computed tomography–derived fractional flow reserve in surgical revascularization

Objectives

The aims of this study were (1) to compare computed tomography–derived fractional flow reserve (CT-FFR) values with graft patency and (2) to establish the cut-off value of CT-FFR for predicting competitive graft flow after coronary artery bypass grafting (CABG).

Methods

Of the 77 patients who underwent isolated CABG with an in situ internal thoracic artery (ITA)-based composite graft and who were also evaluated by preoperative cardiac CT, CT-FFR values were obtained in 74 patients. Early postoperative angiograms were performed in all 74 patients. Angiograms were performed to evaluate the grafts as well as the native coronary arteries to find any competitive flow present. Postoperative angiographic findings of graft flow were categorized as perfectly patent, bidirectionally competitive, unidirectionally competitive, and occluded. Receiver operating characteristic curve analysis of preoperative CT-FFR values for predicting postoperative angiographic competition was performed, and cutoff values of CT-FFR and area under the curve were identified.

Results

In total, 234 anastomoses were performed in 74 patients (median 3 [interquartile range, 2, 4] anastomoses per patient). Postoperative (median 1 [interquartile range, 1, 2] day) angiograms showed that 196 (83.8%) anastomoses were perfectly patent, 25 (10.7%) anastomoses were bidirectionally competitive, 12 (5.1%) anastomoses were unidirectionally competitive, and 1 (0.4%) anastomosis was occluded. Median CT-FFR values of the coronary arteries with perfectly patent, bidirectionally competitive, and unidirectionally competitive grafts were 0.658 (interquartile range, 0.500, 0.725), 0.809 (interquartile range, 0.789, 0.855), and 0.849 (interquartile range, 0.833, 0.865), respectively. The cutoff value of CT-FFR predicting competitive graft flow was 0.774 (sensitivity, 97.4%; specificity, 98.5% [area under the curve 0.977; P < .001]).

Conclusions

The diagnostic accuracy of CT-FFR for predicting competitive graft flow after CABG was high, and CT-FFR could be used as a guide for predicting functional coronary artery stenosis in surgical revascularization.
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