TY - JOUR
T1 - Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease
AU - Brunner, Gerd
AU - Bismuth, Jean
AU - Nambi, Vijay
AU - Ballantyne, Christie M.
AU - Taylor, Addison A.
AU - Lumsden, Alan B.
AU - Morrisett, Joel D.
AU - Shah, Dipan J.
N1 - Funding Information:
We thank all study participants for their cooperation. This work was supported by The Methodist DeBakey Heart Research Award, Clinical Research Seed Grant from the Society for Vascular Surgery, and AHA Beginning Grant-in-Aid award (13BGIA16720014). Dr. Brunner was supported by an NIH Career Development Award (K25HL121149).
Funding Information:
Acknowledgments We thank all study participants for their cooperation. This work was supported by The Methodist DeBakey Heart Research Award, Clinical Research Seed Grant from the Society for Vascular Surgery, and AHA Beginning Grant-in-Aid award (13BGIA16720014). Dr. Brunner was supported by an NIH Career Development Award (K25HL121149).
Publisher Copyright:
© 2016, International Federation for Medical and Biological Engineering.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - We hypothesized that skeletal muscle perfusion is impaired in peripheral arterial disease (PAD) patients compared to healthy controls and that perfusion patterns exhibit marked differences across five leg muscle compartments including the anterior muscle group (AM), lateral muscle group (LM), deep posterior muscle group (DM), soleus (SM), and the gastrocnemius muscle (GM). A total of 40 individuals (26 PAD patients and 14 healthy controls) underwent contrast-enhanced magnetic resonance imaging (CE-MRI) utilizing a reactive hyperemia protocol. Muscle perfusion maps were developed for AM, LM, DM, SM, and GM. Perfusion maps were analyzed over the course of 2 min, starting at local pre-contrast arrival, to study early-to-intermediate gadolinium enhancement. PAD patients had a higher fraction of hypointense voxels at pre-contrast arrival for all five muscle compartments compared with healthy controls (p < 0.0005). Among PAD patients, the fraction of hypointense voxels of the AM, LM, and GM were inversely correlated with the estimated glomerular filtration rate (eGFR; r = −0.509, p = 0.008; r = −0.441, p = 0.024; and r = −0.431, p = 0.028, respectively). CE-MRI-based skeletal leg muscle perfusion is markedly reduced in PAD patients compared with healthy controls and shows heterogeneous patterns across calf muscle compartments.
AB - We hypothesized that skeletal muscle perfusion is impaired in peripheral arterial disease (PAD) patients compared to healthy controls and that perfusion patterns exhibit marked differences across five leg muscle compartments including the anterior muscle group (AM), lateral muscle group (LM), deep posterior muscle group (DM), soleus (SM), and the gastrocnemius muscle (GM). A total of 40 individuals (26 PAD patients and 14 healthy controls) underwent contrast-enhanced magnetic resonance imaging (CE-MRI) utilizing a reactive hyperemia protocol. Muscle perfusion maps were developed for AM, LM, DM, SM, and GM. Perfusion maps were analyzed over the course of 2 min, starting at local pre-contrast arrival, to study early-to-intermediate gadolinium enhancement. PAD patients had a higher fraction of hypointense voxels at pre-contrast arrival for all five muscle compartments compared with healthy controls (p < 0.0005). Among PAD patients, the fraction of hypointense voxels of the AM, LM, and GM were inversely correlated with the estimated glomerular filtration rate (eGFR; r = −0.509, p = 0.008; r = −0.441, p = 0.024; and r = −0.431, p = 0.028, respectively). CE-MRI-based skeletal leg muscle perfusion is markedly reduced in PAD patients compared with healthy controls and shows heterogeneous patterns across calf muscle compartments.
KW - Image analysis
KW - Magnetic resonance imaging
KW - Microvascular circulation
KW - Peripheral artery disease
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U2 - 10.1007/s11517-016-1457-1
DO - 10.1007/s11517-016-1457-1
M3 - Article
C2 - 26906279
AN - SCOPUS:84959125201
VL - 54
SP - 1667
EP - 1681
JO - Medical and Biological Engineering and Computing
JF - Medical and Biological Engineering and Computing
SN - 0140-0118
IS - 11
ER -