| Literature DB >> 27856475 |
Foeke J H Nauta1,2, Arnoud V Kamman1,2, El-Sayed H Ibrahim3, Prachi P Agarwal3, Bo Yang4, Karen Kim4, David M Williams3, Joost A van Herwaarden5, Frans L Moll5, Kim A Eagle1, Santi Trimarchi2, Himanshu J Patel4, C Alberto Figueroa6.
Abstract
INTRODUCTION: Thoracic aortic stent grafts are orders of magnitude stiffer than the native aorta. These devices have been associated with acute hypertension, elevated pulse pressure, cardiac remodelling and reduced coronary perfusion. However, a systematic assessment of such cardiovascular effects of thoracic endovascular aortic repair (TEVAR) is missing. The CardiOvascular Remodelling following Endovascular aortic repair (CORE) study aims to (1) quantify cardiovascular remodelling following TEVAR and compare echocardiography against MRI, the reference method; (2) validate computational modelling of cardiovascular haemodynamics following TEVAR using clinical measurements, and virtually assess the impact of more compliant stent grafts on cardiovascular haemodynamics; and (3) investigate diagnostic accuracy of ECG and serum biomarkers for cardiac remodelling compared to MRI. METHODS AND ANALYSIS: This is a prospective, nonrandomised, observational cohort study. We will use MRI, CT, echocardiography, intraluminal pressures, ECG, computational modelling and serum biomarkers to assess cardiovascular remodelling in two groups of patients with degenerative thoracic aneurysms or penetrating aortic ulcers: (1) patients managed with TEVAR and (2) control patients managed with medical therapy alone. Power analysis revealed a minimum total sample size of 20 patients (α=0.05, power=0.97) to observe significant left ventricular mass increase following TEVAR after 1 year. Consequently, we will include 12 patients in both groups. Advanced MRI sequences will be used to assess myocardial and aortic strain and distensibility, myocardial perfusion and aortic flow. ECG, echocardiography and serum biomarkers will be collected and compared against the imaging data. Computational models will be constructed from each patient imaging data, analysed and validated. All measurements will be collected at baseline (prior to TEVAR) and 1-year follow-up. The expected study period is 3 years. ETHICS AND DISSEMINATION: This study has been approved by the University of Michigan IRB. The results will be disseminated through scientific journals and conference presentations. TRIAL REGISTRATION NUMBER: NCT02735720. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.Entities:
Keywords: VASCULAR SURGERY
Mesh:
Substances:
Year: 2016 PMID: 27856475 PMCID: PMC5128949 DOI: 10.1136/bmjopen-2016-012270
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Top: MRI Tagging sequence to quantify myocardial strain. SAX and 4CH tagged images at ED and ES. Bottom: Transit time (Δt) between proximal and distal flow waveforms measured with PC MRI sequences is used to evaluate PWV in the aorta.20 4CH, four-chamber; ED, end diastole; ES, end systole; SAX, short axis.
Figure 2Top: Arterial stiffness for a baseline ‘middle-age’ participant, an ‘old-age’ participant showing generalised arterial stiffening and a ‘stent repair’ case with identical stiffness to the baseline except for the ascending aortic segment, in which a stent graft (presented in grey), whose stiffness is 125× higher than the native aortic tissue, was inserted. Bottom: Changes in LV function required to maintain cardiac output following generalised (old age) or stent-induced stiffening. Left: changes in cardiac contractility, as given by a LV elastance function. Right: changes in LV work, estimated by computed pressure–volume loops (unpublished data Lau et al 2016). LV, left ventricle.
Figure 3Patient population and clinical measurements of our study. BP, blood pressure; HR, heart rate.
Overview of performed MRI sequences
| Sequence | Description | Analysis | Variables measured | Estimate time |
|---|---|---|---|---|
| Cine Steady State Free Precession or gradient-refocused echo | A stack of cine short-axis images covering the whole heart, as well as 4-chamber and 2-chamber images, will be acquired. | A radiologist (PA) will analyse the images using Medis QMass software. The endo- and epicardial ventricular boundaries will be determined to measure ventricular volumes, function and mass, as well as left atrial volume. | Ventricular volumes and myocardial mass to evaluate ventricular dilation and hypertrophy (all measurements will be normalised by the patient's body surface area). Left atrial volume. | 15 min |
| Trans-mitral VENC | Trans-mitral PC velocity-encoded flow images will be acquired. VENC parameter setting will be adjusted to avoid velocity aliasing. | PA will analyse the images using Medis QFlow software. The mitral valve boundary will be determined through all phases, from which E/A ventricular filling ratio, will be determined. | Ventricular early-to-atrial filling ratio, as a measure of ventricular diastolic function. | 2–3 min |
| VENC across the aorta | VENC PC flow images will be acquired at 4 different locations (ascending aorta, aortic arch branches, proximal descending aorta and at the level of the diaphragm). VENC setting will be adjusted to avoid velocity aliasing. | PA will analyse the images using Medis QFlow software. The cross section of the aorta will be determined through all phases, from which velocity and flow, will be determined. Further, EI will analyse the images using in-house software developed with Matlab to measure PWV. | Blood flow and velocity patterns at different cross sections of the aorta, as well as PWV as a measure of aortic stiffness. | 25 min (total) |
| SENC/MRI Tagging (IRB approved) | SENC or conventional tagged images will be acquired at the basal, mid-ventricular and apical short-axis slices, as well as in a 4-chamber slice. | An MRI physicist (EI) will analyse the images using Diagnosoft software to measure myocardial strain. | Regional myocardial strain. | 10 min |
| Perfusion | Myocardial perfusion images will be acquired after administration of gadolinium-based contrast agent under pharmacological stress. | PA will analyse the images visually and using Medis QFlow software to determine any perfusion defects as well as the myocardium contrast uptake and washout curves. | Myocardial perfusion defects, and contrast uptake and washout patterns. | 10 min |
PC, phase contrast; PWV, pulse wave velocity; SENC, strain encoding; VENC, velocity encoding.