Using an MR approach combining DCE-MRI and T2 mapping, this study revealed that unlike PAD patients, muscle tissue perfusion was tightly correlated to exercise-induced changes in R2 in the lower leg muscles of healthy individuals. These findings suggest Q/Met mismatch following exercise in the skeletal muscle of PAD patients. The combination of DCE-MRI and T2 mapping opens a new avenue of research to investigate perfusion-metabolism heterogeneity in normal physiological conditions and muscle-related pathologies.
Introduction
During exercise, a fundamental function of the cardiovascular system is to supply O2 to the active muscles to meet metabolic demand. Skeletal muscle perfusion is therefore thought to be tightly coordinated with O2 requirements among and within muscles. This balance between muscle O2 delivery and metabolism is critical as it sets the driving pressure for blood-myocyte O2 flux and influences the control of mitochondrial respiration. However, in some pathological conditions, this perfusion-metabolism (Q/Met) matching may be compromised and results in muscle weakness and exercise intolerance (2). Despite the potential importance of Q/Met in underlying functional muscle abnormalities seen with aging and other muscle related pathologies (1, 4), there is a paucity of information on the spatial matching of Q/Met in human. The lack of standard in vivo techniques to characterize Q/Met in humans is probably the major culprit responsible for this gap in our knowledge. Therefore, the purpose of this study was to assess Q/Met in the lower leg muscles of healthy subjects and patients with peripheral arterial disease (PAD) using dynamic contrast-enhanced (DCE) MRI for tissue perfusion combined with T2 mapping to determine the degree of metabolic demand (5).Methods
Nine healthy control subjects performed constant-load dynamic sub-maximal plantar flexion at 5.4 watts for 3 min (frequency of 1 Hz) in the whole body 3T MRI scanner (TimTrio; Siemens) using a 4-channel flex coil wrapped around the calf for image acquisition. With a similar set-up, a second group of 4 patients with PAD performed constant-load dynamic sub-maximal plantar flexion at 2.7 watts for 3 min and a graded exercise to exhaustion. At the end of exercise, 0.05 mmol/kg gadoteridol (Prohance; Bracco) was injected intravenously at a rate of 5 mL/s, and dynamic imaging was continuously recorded for 4 minutes. The dynamic images were acquired from an axial slice through the greatest circumference of the calf, using a 2D saturation-recovery turboFLASH sequence (7) (delay-time: 300 ms, TR: 527ms, TE: 1.42ms, flip-angle: 15°, slice thickness: 10mm, matrix: 128×128, FOV: 160×160mm, temporal resolution: 1 s/frame). To quantify gadolinium concentration from the dynamic images, proton density was measured from the same slice using the same pulse sequence and TR of 4000ms. T2 maps were obtained using a single-slice 2D turbo spin echo (field of view: 160x160mm, matrix size: 192x192, repetition time (TR): 1000ms, echo times (TEs): 6, 30, 54, 78, 103, 127ms, flip angle: 120degrees). For perfusion analysis, an arterial input function (AIF) was manually sampled from the anterior tibial or peroneal artery visible in the imaged slice. Voxel-wise perfusion was then calculated by fitting the contrast enhancement curve of each muscle voxel with a tracer-kinetic model that expresses the muscle gadolinium-concentration as a convolution of the AIF and the muscle’s impulse retention function (3, 6, 8). T2 decay was fitted using a mono-exponential function and R2 was calculated as 1/T2. For each map, regions of interest were manually defined to compute the average perfusion of the medial and lateral gastrocnemius (MG and LG), soleus (S), anterior and posterior tibialis (AT and PT), and peroneus longus (Per) muscles. Pearson’s correlation coefficients were calculated to assess the relationship between perfusion and R2.Discussion-Conclusion
Using an MR approach combining DCE-MRI and T2 mapping, this study sought to examine perfusion-metabolism matching in the skeletal muscle of healthy individuals and patients with PAD following plantar flexion exercise. The main findings of this study were that 1) exercise-induced changes in R2 for each individual muscle of the lower leg were not significantly different between groups, indicative of similar muscle activation and metabolic demand in healthy subjects and PAD patients, 2) in contrast, tissue perfusion was significantly higher in the healthy subjects compared to PAD patients, and 3) unlike PAD patients, muscle tissue perfusion was tightly correlated to exercise-induced changes in R2 in the lower leg muscles of healthy individuals. Together, these findings suggest Q/Met mismatch following exercise in the skeletal muscle of PAD patients, which was revealed using a unique combination of DCE-MRI and T2 mapping. This novel MR approach open a new avenue of research to investigate perfusion-metabolism heterogeneity in normal physiological conditions and muscle-related pathologies.