Magnetic resonance imaging based superficial femoral artery velocity measurements in peripheral artery disease

被引：2
作者：
Sinharoy, Ankita [1 ]
Reddy, Neeti [2 ]
Lin, John Kent [6 ]
Nambi, Vijay [2 ,3 ,4 ]
Yang, Eric Y. [8 ]
Kougias, Panagiotis [7 ]
Taylor, Addison A. [2 ,4 ]
Lumsden, Alan B. [5 ]
Ballantyne, Christie M. [2 ,3 ]
Morrisett, Joel D. [2 ]
Brunner, Gerd [1 ,2 ]
机构：
[1] Penn State Univ, Coll Med, Penn State Heart & Vasc Inst, Hershey, PA USA
[2] Baylor Coll Med, Dept Med, Sect Cardiovasc Res, Houston, TX 77030 USA
[3] Baylor Coll Med, Dept Med, Sect Cardiol, Houston, TX 77030 USA
[4] Michael E DeBakey VA Med Ctr, Houston, TX USA
[5] Houston Methodist Hosp, Methodist DeBakey Heart & Vasc Ctr, Houston, TX 77030 USA
[6] Univ Penn, Perelman Sch Med, Philadelphia, PA 19104 USA
[7] Downstate Hlth Sci Univ, Dept Surg, Brooklyn, NY USA
[8] Univ Texas Hlth Sci Ctr San Antonio, San Antonio, TX 78229 USA
来源：
MAGNETIC RESONANCE IMAGING | 2022年 / 93卷
基金：
美国国家卫生研究院;
关键词：
Peripheral artery disease; Magnetic resonance imaging; Diabetes mellitus; Atherosclerosis; Superficial femoral artery; Arterial blood flow velocity; VASCULAR CALCIFICATION; OCCLUSIVE DISEASE; PULSATILITY INDEX; BLOOD-FLOW; RISK; PREVALENCE; MORTALITY;
D O I：
10.1016/j.mri.2022.08.003
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Peripheral artery disease (PAD) causes lower extremity dysfunction and is associated with an increased risk of cardiovascular mortality and morbidity. In this study, we analyzed how non-invasive 2-dimensional-phase-contrast magnetic resonance imaging (2D-PC-MRI) measured velocity markers of the distal superficial femoral artery (SFA) are associated with clinical and functional characteristics of PAD. A total of 70 (27 diabetic and 43 non-diabetic) PAD patients were included in this secondary analysis of data collected from the Effect of Lipid Modification on Peripheral Artery Disease after Endovascular Intervention Trial (ELIMIT). Electrocardiographically (ECG)-gated 2D-PC-MRI was performed at a proximal and a distal imaging location of the distal SFA. Baseline characteristics did not differ between diabetic and non-diabetic PAD patients. Claudication onset time (COT) was shorter in diabetic PAD patients compared to non-diabetics (0.56 (inter quartile range (IQR): 0.3, 2.04) minutes vs. 1.30 (IQR: 1.13, 2.15) minutes, p = 0.025). In a pooled analysis of all 70 PAD patients, maximum velocity was significantly higher in the proximal compared with the distal SFA segment (43.97 (interquartile range (IQR): 20.4, 65.2) cm/s; vs. 34.9 (IQR: 16.87, 51.71) cm/s; p < 0.001). The maximum velocities in both the proximal and distal SFA segments were significantly higher in diabetic PAD patients compared with non-diabetics (proximal: 53.6 (IQR: 38.73, 89.43) cm/s vs. 41.49 (IQR: 60.75, 15.9) cm/s, p = 0.033; distal: 40.8 (IQR: 23.7, 71.90) cm/s vs. 27.4 (IQR: 41.67, 12.54) cm/s, p = 0.012). Intra-observer variability, as assessed by intraclass correlation (ICC) analysis, was excellent for SFA mean and maximum velocities (0.996 (confidence interval [CI]: 0.996, 0.997); 0.999 (CI: 0.999, 0.999)). In conclusion, 2D-PC-MRI SFA velocity measures are reproducible and may be of interest in assessing diabetic and non-diabetic PAD patients.
引用
收藏
页码：128 / 134
页数：7
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