Impact of exercise intervention on vascular function in PAD
Erin K Englund1, Michael C Langham2, Thomas F Floyd3, Felix W Wehrli2, and Emile R Mohler4

1Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Anesthesiology, Stony Brook University, Stony Brook, NY, United States, 4Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Synopsis

Peripheral vascular function can be interrogated by measuring recovery dynamics following induced ischemia. In this study, 136 patients with peripheral artery disease were randomized into supervised exercise rehabilitation (SER) or standard medical care (SMC). Each patient’s leg was scanned before and after the intervention period. MRI data were acquired throughout an ischemia-reperfusion paradigm with PIVOT, a method to simultaneously and dynamically measure perfusion, venous oxygen saturation, and skeletal muscle T2*. Patients randomized to SER had a significant increase in peak perfusion from baseline to follow-up when averaged across the entire cross-section of the leg and in the peroneus muscle.

Introduction

Peripheral artery disease (PAD), generally a manifestation of atherosclerosis in vessels supplying the lower limbs, is diagnosed based on a reduction in the ratio of blood pressures measured in the ankle and brachial artery, known as the ankle-brachial index (ABI)1. An ABI less than 0.9 signifies the presence of macrovascular stenoses, but does not specify spatial location, is not sensitive to microvascular impairment, and does not reflect improvements due to pharmacologic or exercise therapy2,3. Recent studies suggest that functional deficits present in the vasculature of patients with PAD may be detected through dynamic imaging studies4-7. Similar to cardiac stress testing, peripheral vascular function is interrogated by measuring the kinetics of recovery following induced ischemia (during reactive hyperemia), which is blunted and delayed in patients with PAD compared to their healthy peers. This has been reported from independent studies measuring muscle perfusion4, dynamics of venous oxygen saturation (SvO2)5, or relative changes in skeletal muscle T2*6, which is related to tissue oxygenation and perfusion, and more recently using PIVOT, a combined method to measure perfusion, SvO2, and T2* simultaneously8. The purpose of this study was to evaluate whether a supervised exercise intervention resulted in changes in MRI-measured vascular function.

Methods

136 patients (86 male, 68±8 years old) with PAD were recruited to participate in the study and underwent one screening visit and two testing visits (study design shown in Figure 1). The treadmill-walking test employed the Gardner protocol9, which requires patients to walk on a treadmill at 2 mph initially with 0% incline and the incline is increased by 2% every 2 minutes. Patients indicate when they first experience pain (claudication onset time, COT), and when the pain limits their ability to walk (peak walking time, PWT). The MRI protocol consisted of dynamic imaging using PIVOT10 (see Figure 2 for pulse sequence diagram) continuously throughout one minute of baseline, five minutes of proximal arterial occlusion, and six minutes of post-ischemic recovery. Data were acquired with an 8-ch Tx/Rx knee coil at 3T. Ischemia was induced by inflating a cuff around the thigh to 75 mmHg above the systolic blood pressure. All PIVOT measures were quantified with 2-second temporal resolution. Perfusion was calculated in regions of interest (ROIs) in the gastrocnemius, soleus, peroneus, and tibialis anterior muscles, and was averaged across all ROIs (leg) and peak hyperemic flow (PHF) and time to peak perfusion (TTPperf) were recorded. SvO2 was measured in the larger posterior tibial vein, and washout time (time to minimum SvO2) and upslope (maximum slope of recovery) were recorded. T2* was quantified in the soleus, normalized to the average baseline value, and the relative T2*max and time to peak T2* (TTPT2*) were recorded. Example images and time courses are shown in Figure 3. Paired t-tests were used to assess the change from baseline to follow-up, and the Holm-Bonferroni correction was applied to maintain a family-wise error rate of 0.05.

Results

112/136 patients returned for their follow-up visit 119±28 days after the baseline visit (19 lost to follow-up, 5 presently enrolled). From the initial testing visit, significant correlations were detected between ABI and reactive hyperemia response time across all patients, however no correlation was observed between ABI and reactive hyperemia response magnitude or between ABI and indices of functional disease impairment measured by treadmill-walking test (Figure 4). From baseline to follow-up, COT and PWT significantly increased in the SER group (paired t-test, p<0.0001 for both). COT significantly increased in the SMC group as well (paired t-test, p<0.01). From the MRI data, no significant differences were detected between the SER and SMC groups at baseline or follow-up for any metric. In the SER group, the change in peak perfusion between baseline and follow-up significantly increased in the peroneus (p<0.05) and when averaged across the whole leg (p<0.05) (Figure 5).

Discussion & Conclusion

This preliminary analysis showed that patients enrolled in a supervised exercise intervention had a significant increase in peak perfusion in the peroneus and across the entire cross-section of the leg. This response may be attributed to increased angiogenesis induced by exercise. Moreover, since the reactive hyperemia response time is highly correlated with ABI as seen in Figure 4 (which is primarily a marker of macrovascular disease), it would make sense that changes in response time are not observed as the stenoses are relatively fixed. Future analyses will explore whether changes in the MRI-measures of vascular function are correlated with changes in physiologic response as measured by the treadmill-walking tests, blood markers of angiogenesis, and patient quality of life questionnaires.

Acknowledgements

This work was supported by an award from the American Heart Association and NIH Grants R01 HL075649 and HL109545.

References

[1] Hirsch, et al. JAMA 2001; [2] Mohler, et al. Vasc Med 2001; [3] Murphy, et al. Circ 2012; [4] Wu, et al. JACC 2009; [5] Langham, et al. JCMR 2013; [6] Ledermann, et al. Circ 2006; [7] Potthast, et al. Gefäße 2009; [8] Englund, et al. Circ Cardiovasc Imaging 2015; [9] Gardner, et al. Med Sci Sports Exerc 1991; [10] Englund, et al. JCMR 2013; [11] Raynaud, et al. MRM 2001; [12] Fernandez-Seara, et al. MRM 2006.

Figures

Figure 1. Study design for patients recruited to participate. Following screening and baseline testing visits, each patient was randomized into either supervised exercise rehabilitation or standard medical care. All patients returned for a follow-up testing visit approximately 3-4 months after his or her baseline testing visit.

Figure 2. PIVOT allows for simultaneous, temporally-resolved measurement of perfusion, SvO2, and T2* by interleaving a multi-echo GRE acquisition into the post-labeling delay of a PASL sequence10. From the multi-echo GRE data, SvO2 and T2* are quantified, and perfusion is quantified in physiologic units using the model in [11].

Figure 3. Example data showing locations of measured parameters in the left column, example parameter maps in the center, and cartoons of time courses highlighting the extracted measurement metrics on the right. PIVOT allows for simultaneous measurement of perfusion, SvO2 via susceptometry-based oximetry12, and relative changes in skeletal muscle T2*.

Figure 4. Correlation plots between treadmill-walking test and disease severity as assessed by ABI (a-b) and MRI-measured reactive hyperemia response metrics and ABI (c-h). Significant correlations exist between ABI and reactive hyperemia response time (e.g. time to peak perfusion, SvO2 washout time, and time to peak T2*).

Figure 5. Average measurements at baseline and follow-up for SMC (solid) and SER (striped). Error bars represent standard error. * indicates significant difference between SMC and SER groups (unpaired t-test), † significant within-group difference between baseline and follow-up (paired t-test). All of the significant differences observed are displayed.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
0966