Longitudinal Magnetic Resonance Imaging–Based Superficial Femoral Artery Velocity Measurements in Diabetic and Nondiabetic Patients With Peripheral Artery Disease

Author:

Sinharoy Ankita1,Reddy Neeti2,Lin John Kent3,Nambi Vijay245,Yang Eric Y.6,Kougias Panagiotis7,Taylor Addison A.24,Lumsden Alan B.8,Ballantyne Christie M.25,Brunner Gerd12

Affiliation:

1. Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, PA;

2. Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX;

3. Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA;

4. Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX;

5. Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX;

6. University of Texas Health Science Center, San Antonio, TX;

7. Department of Surgery, Downstate Health Sciences University, Brooklyn, NY;

8. Methodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, TX.

Abstract

Abstract: Background: Longitudinal associations of noninvasive 2-dimensional phase-contrast magnetic resonance imaging (2D-PC-MRI) velocity markers of the superficial femoral artery (SFA) were analyzed along with the characteristics of peripheral artery disease (PAD). We hypothesized that the 2-year differences in MRI-based measures of SFA velocity were associated with longitudinal changes in markers of PAD. Methods: A total of 33 (11 diabetic, 22 nondiabetic) patients with PAD with baseline and 2-year follow-up MRI scans were included in this secondary analysis of the Effect of Lipid Modification on Peripheral Artery Disease after Endovascular Intervention Trial (ELIMIT). Electrocardiographically gated 2D-PC-MRI was performed at a proximal and a distal location of the distal SFA territory. SFA lumen, wall, and total vessel volumes and the normalized wall index (NWI) were analyzed. Results: Baseline characteristics did not differ between diabetic and nondiabetic PAD patients. Maximum proximal and distal SFA velocity measures did not differ between baseline and 2 years (41.98 interquartile range (IQR) (23.58–72.6) cm/s vs. 40.31 IQR (26.69–61.29) cm/s; P = 0.30). Pooled analysis (N = 33) showed that the 24-month change in the NWI was inversely associated with the 24-month change in the proximal maximal SFA velocity (beta = −168.36, R2 = 0.150, P value = 0.03). The 24-month change of the maximum velocity differences between the proximal and distal SFA locations was inversely associated with the 24-month changes in peak walking distance (beta = −0.003, R2 = 0.360, P value = 0.011). Conclusion: The 2-year change of SFA plaque burden is inversely associated with the 2-year change of proximal peak SFA blood flow velocity. 2D-PC-MRI measured SFA velocity may be of interest in assessing PAD longitudinally.

Funder

National Institute of Nursing Research

American Heart Association

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging

Reference22 articles.

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3. Imaging approaches to the diagnosis of vascular diseases;Gimnich;Curr Atheroscler Rep.,2022

4. The effect of lipid modification on peripheral artery disease after endovascular intervention trial (ELIMIT);Brunner;Atherosclerosis,2013

5. Cross-sectional, prospective study of MRI reproducibility in the assessment of plaque burden of the carotid arteries and aorta;El Aidi;Nat Clin Pract Cardiovasc Med.,2009

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