Constance J Mietus1, Yue Gao1, Mariano G Uberti2, Nicholas G Lambert1, Panagiotis Koutakis3, Evlampia Papoutsi3, Jonathan R Thompson1, Holly K DeSpiegelaere4, Michael D Boska2, Sara A Myers5, George P Casale1, Iraklis I Pipinos1,4, and Balasrinivasa R Sajja2
1Department of Surgery, University of Nebraska Medical Center, Omaha, NE, United States, 2Department of Radiology, University of Nebraska Medical Center, Omaha, NE, United States, 3Department of Biology, Baylor University, Waco, TX, United States, 4Department of Surgery and VA Research Service, VA Nebraska-Western Iowa Health Care System, Omaha, NE, United States, 5Department of Biomechanics, University of Nebraska Omaha, Omaha, NE, United States
Synopsis
Understanding
the quantitative MRI features of the myopathy of Peripheral Artery Disease
(PAD) may aid in grading disease severity, treatment response, and potentially
predicting favorable response to exercise or revascularization surgery. In this study we explored the relationship
between T1 and T2 relaxation
times and
measurements of hemodynamic and ambulatory performance in patients with
PAD. T1 relaxation time positively correlated with ankle brachial index
and peak plantar flexion and inversely correlated with claudication onset time. T2 relaxation time correlated positively with peak plantar flexion and
inversely correlated with ischemic window, claudication onset time, and peak
walking time.
Background
Peripheral Artery Disease (PAD) is caused by
atherosclerotic narrowing of the arteries supplying the legs. PAD produces ischemia and myopathy in the leg
muscles in association with severe walking disability. PAD myopathy is
characterized by myofiber degeneration, fibrosis, and alterations of
microvascular architecture. 1, 2 Quantitative magnetic resonance imaging (qMRI)
studies have demonstrated features of large vessel occlusion and diminished
perfusion during exercise in PAD legs as compared to healthy controls. 3-5 However, the quantitative imaging
characteristics of PAD myopathy and their relationship to hemodynamic and
ambulatory parameters remain undefined. In
this study, we tested the hypothesis that alterations in T1 and T2 relaxation times are associated
with worsening lower extremity hemodynamics and ambulatory restrictions in
patients with PAD.Methods
Twenty-three male patients
with Fontaine Stage II PAD (age: 65.2 $$$\pm$$$ 5.7 years) were recruited in this study
with IRB approval. Hemodynamic
parameters (Ankle brachial index (ABI) and ischemic window (IW)) and ambulatory
parameters (peak plantar flexion (PPF), claudication onset time (COT) and peak
walking time (PWT)) were measured for each patient. MRI exams were performed on
a 1.5 T clinical MRI scanner. Data for relaxation times mapping were acquired
with the following parameters. Spin echo (SE) with multiple TRs (T1 mapping):
TR=200, 500, 1000, and 4000 ms; TE=7 ms; Multi-echo SE (T2 mapping): TR=6500
ms; 16 echoes with TEn = 13 x n (n=1, …16) ms. Common parameters for
both the sequences: slices=27; image size=128x128; FOV = 160x160 mm2; slice
thickness=3 mm; spacing between slices=3.0 mm; averages = 1. Relaxation times maps were computed with
in-house developed computer programs written in Interactive Data Language (IDL;
Harris Geospatial Solutions Inc., Broomfield, CO, USA). For ROI analysis,
medial gastrocnemius (MG), lateral gastrocnemius (LG), and soleus (SOL) muscle
regions were manually drawn on all slices of reference MRI volumes. Masks were
translated onto the T1- and T2-map volumes to extract corresponding values
from ROIs. The patient’s leg (left vs.
right) with the lower ABI was included in the analysis. Mean and standard deviation (SD) of T1 and T2
values from these ROI were calculated. Linear
regression analysis was performed to study the correlations between T1 and T2 relaxation
times and hemodynamic and ambulatory parameters.Results
Figure
1 shows a representative overlay of ROI (MG, LG, and SOL) on a T2-weighted
slice and the corresponding T1 and T2 maps of that cross-section. Mean T1 and
T2 values in MG, LG, and SOL muscles are shown in Table 1. Mean and SD of ABI was 0.49 $$$\pm$$$ 0.17. As
ABI decreased, T1 values decreased in the MG (R = 0.45, p = 0.03) and SOL (R =
0.46, p = 0.03) (figure 2 (upper panel)). LG showed a
similar trend, but was statistically non-significant (p = 0.09). An inverse
relationship was observed between IW and T2 relaxation time in the SOL (R =
-0.48, p = 0.02) and LG (R = -0.46, p = 0.03), but was non-significant in the MG
(figure 2 (lower panel)). As the duration of PPF
increased, T1 relaxation time increased in the SOL (R = 0.54, p = 0.01) and LG
(R = 0.56, p = 0.01) (figure 3). A
positive association was also observed between PPF and T2 relaxation time in
the MG (R = 0.61, p = 0.003) and the LG (R = 0.56, p = 0.006) (figure 3). As COT increased, T1 relaxation time decreased
in the MG (R = -0.44, p = 0.04) and T2 relaxation time decreased in the LG (R =
-0.48, p = 0.03) (figure 4). With
greater PWT, patients had decreased T2 values in the LG (R = -0.44, p = 0.04).Discussion
Alterations
in T1 and T2 relaxation times are associated with hemodynamic and ambulatory
parameters in patients with PAD. T1 values correlated with ABI, demonstrating
that structural changes of PAD muscle can be observed in patients with
worsening large vessel occlusion, likely reflecting worsening myopathy. We observed that T2 relaxation time decreased
in patients with worsening IW, suggesting that T2 relaxometry may be of diagnostic
utility in assessing the severity of damage in PAD muscles. We also observed
relationships between T1 and T2 relaxation times and parameters of ambulatory
performance. Worsening PPF was associated with decreasing T1 and T2 values and
more robust relationships were observed in T2 relative to T1 values across the
muscle groups analyzed. COT was associated with T1 and T2 values, whereas the
most robust findings in PWT were related to T2 values. Variation across muscle groups in our studies
in both T1 and T2 values may reflect muscle composition (i.e. fiber
type, fatty infiltration), as observed amongst healthy volunteers6, as well as fibrosis. Additional analysis directly comparing
histological and qMRI features will aid in the validation of MRI in
characterizing the severity of PAD myopathy. Future studies may utilize imaging
features to quantify and potentially predict patient response to treatment
paradigms, including supervised exercise therapy and/or revascularization
surgery.Conclusion
T1
and T2 relaxation times were associated with several parameters of hemodynamic
and ambulatory performance. Quantitative
MRI of PAD myopathy may aid in determining PAD severity and may be of utility
in assessing treatment responses in patients with PAD. Acknowledgements
This work was supported with resources and the use of facilities at the VA Nebraska-Western Iowa Health Care System and funding by NIH grants R01 AG034995 and R01 AG049868.References
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