Jeff L. Zhang1, Christopher Hanrahan1, Christopher C. Conlin1, Corey Hart2, Gwenael Layec2, Kristi Carlston1, Daniel Kim1, Michelle Mueller3, and Vivian S. Lee1
1Radiology, University of Utah, Salt Lake City, UT, United States, 2Internal Medicine, University of Utah, Salt Lake City, UT, United States, 3Vascular surgery, University of Utah, Salt Lake City, UT, United States
Synopsis
Noninvasive mapping of calf muscle perfusion with high spatial
resolution has potential for assessing the severity of peripheral artery
disease (PAD) and studying associated capillary density abnormality. We tested
our novel DCE-MRI method to measure calf muscle hyperemia stimulated by plantar
flexion at three different workloads. Increases in exercise load caused
increased total perfusion in gastrocnemius, with a heterogeneous pattern at
medium load and homogeneous at higher load. Perfusion in soleus did not
increase until very heavy load of 16 lbs. DCE-MRI provides high spatial
resolution measurement of post-exercise muscle perfusion. Introduction: In patients
with peripheral artery disease (PAD), chronic ischemia leads to claudication
and muscle fatigue as a result of diminished capillary density and
mitochondrial dysfunction. Noninvasive measures of perfusion are important for
assessing the severity of PAD and may predict response to revascularization. The
spatial heterogeneity of muscle perfusion is thought to reflect capillary
density abnormality (1-3). Unlike arterial spin-labeling methods, tracer
kinetic models applied to DCE MRI can quantify exercise-induced calf-muscle hyperemia,
with high image contrast and spatial resolution. We test our novel method in
healthy subjects under three workloads.
Methods
and materials:
Three healthy subjects underwent a validated plantar-flexion exercise protocol
using an MRI-compatible ergometer (Fig. 1) while supine in a 3T clinical MRI
scanner (TimTrio, Siemens) with two flex body coils (HIPAA compliant, IRB
approved). Exercise Protocol: For each subject, the studies over two
separate visits to obtain data from the right leg at 3 different loads: 4 lbs, 8
lbs and 16 lbs loads, with plantar flexion at 1 Hz for 3 min, for a work rate
of 2.7, 5.4 and 10.8 watts. For each load, baseline images were acquired before
exercise. Five seconds before exercise terminated, 0.05mmol/kg gadoteridol
(ProHance; Bracco) was injected intravenously at a rate of 4
ml/sec, and immediately after exercise cessation, dynamic imaging started with
a temporal resolution of 1.5 sec, for about 4 min. With our ergometer, subjects dorsiflex using the
tibialis anterior (TA) or peroneus muscles at lower weights and plantarflex,
using primarily the gastrocnemius (GC) muscle at all weights. MRI Protocol:
We obtained images at three slice positions: axial slice at knee level, axial
slice at calf muscle, and sagittal slice centered at knee level. A
saturation-recovery prepared FLASH sequence: inversion time 300 ms, TR 527 ms,
TE 1.42 ms, flip angle 15°, pixel bandwidth 1002 Hz, slice thickness 10 mm,
number of averages 1, image matrix 128×128, field of view 180×180 mm. Image
Analysis: To quantify gadolinium contrast concentration ([Gd]) from the
signals using the saturation-recovery formula, we also estimated proton density
(M0) using the above sequence with a long TR of 4 sec, at 4 min
after exercise. To quantify muscle
perfusion from the dynamic images, [Gd] values in muscle and in popliteal
artery were estimated from MR signals (4), and then for each muscle voxel, the
temporal course of [Gd] enhancement was analyzed by a tracer kinetic model (5) to
estimate muscle perfusion (F) on a voxel-by-voxel basis. Regions of interest
(ROI) were manually drawn to get averaged perfusion in each muscle group,
including gastrocnemius, soleus and peroneal muscles.
Results: Representative
FLASH images from the post-exercise (16 lbs) images at baseline and maximum
enhancement (25 sec following contrast injection, Fig 2) show that gastrocnemius
and peroneal muscles enhanced visibly, with mild enhancement of the soleus. Fig.
3 shows examples of [Gd] arterial input function sampled from popliteal artery
and [Gd] enhancement curves from a voxel of gastrocnemius and of soleus. Fig. 4a
shows examples of muscle perfusion maps of a same subject but at different
exercise loads. Averaging over the subjects, perfusion of the different muscle
groups at different exercise loads are shown in Fig. 4b. As expected, perfusion
in gastrocnemius increased almost linearly from 4 lbs to 8 lbs, then to 16 lbs.
The spatial maps of perfusion illustrate that at mid-level of work, the
gastrocnemius showed heterogeneous enhancement, with the most perfused muscles
regions reaching 60-80 ml/min/100g while at higher workload homogeneous
perfusion at about 80 ml/min/100g.
Discussion: DCE-MRI of exercise-induced hyperemia,
analyzed using a tracer kinetic model, provides high spatial resolution
perfusion maps of the calf muscle. With increased load, plantar flexion
stimulated increasing perfusion in gastrocnemius of healthy subjects, and the
pattern of hyperemia is notable for the heterogeneity of perfusion at low work
load which became homogeneous at high work load, as predicted in the literature
(1-3). In conclusion, post exercise DCE-MRI offers a very promising technique
for quantitatively assessing regional calf-muscle perfusion. As a future study,
we will test the value of the technique in evaluating muscle function in PAD
patients.
Acknowledgements
No acknowledgement found.References
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