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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Oral presentation
  • Open access
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Assessment of coronary wall thickening in autosomal dominant hyper- immunoglobin E syndrome (AD-HIES) using TRAPD-MRI

Background

Autosomal dominant hyper-IgE (AD-HIES), also called Job's syndrome, is a rare primary immunodeficiency caused by dominant mutations in STAT3. AD-HIES is characterized by elevated levels of IgE, an ineffective immune response to several infectious agents, and connective tissue and arterial abnormalities. To date, coronary artery evaluation in AD-HIES patients has been limited to lumenography by CTA or MRA. Direct in vivo coronary vessel wall imaging may allow for earlier detection of coronary artery disease, possibly at the subclinical stage, and may lead to more accurate assessment of treatment efficacy.

The goal of this prospective study was to evaluate the coronary artery walls of AD-HIES patients using MRI and compare to healthy subjects and subjects with known coronary artery disease.

Methods: study population

A total of 28 subjects were included in the study; 10 subjects with AD-HIES, 8 healthy subjects, and 10 patients with with known CAD as proven by coronary Computed Tomography Angiography (CTA). Groups were age- and BMI-matched as shown in the table.

Coronary wall imaging

free-breathing time-resolved dark-blood (trapd-mri) proximal coronary vessel wall datasets were acquired with a fixed inversion time (TI = 200 ms) and phase-sensitive reconstruction. Data were acquired using a segmented k-space spiral acquisition with spectral spatial excitation, using a 32-channel phased array cardiac received coil and VCG triggering. Images were anonymized, wall thickness was measured as previously published.

Computer tomography angiography

Multidetector computerized tomography (MDCT) scans with ECG gating were performed in 10 CAD subjects. The MDCT protocol was similar to previously described techniques. Image analysis and interpretation of the axial and the multiplanar re-formatted images were performed using a commercial three-dimensional software tool.

Results

Examples of the coronary vessel wall images in the three groups are shown in Figure 1a. MRI imaging of coronary vessel walls of AD-HIES patients showed thicker vessel walls than those of healthy controls (Table 1). There was no statistically significant difference in vessel wall thickness between non-AD-HIES subjects with atherosclerosis and AD-HIES patients (Figure 1b).

figure 1

Figure 1

figure 2

Figure 2

Conclusions

This is the first study to image the coronary vessel wall of patients with AD-HIES by MRI. The MR vessel thickness of AD-HIES patients was compared to both healthy subjects and patients with known coronary artery disease (CAD) as demonstrated by CTA. The findings demonstrate that the coronary vessel wall in Job's syndrome subjects is thicker than healthy subjects, however, comparable to patients with known CAD. These findings suggest that coronary arteries in Job's syndrome are affected with atherosclerosis, contrary to prior beliefs and study findings.

References

  1. Abd-Elmoniem KZ, et al: Coronary vessel wall 3-T MR imaging with time-resolved acquisition of phase-sensitive dual inversion-recovery (TRAPD) technique. Radiology. 2012, 265 (3): 715-723.

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Abd-Elmoniem, K.Z., Ramos, N., Yazdani, S. et al. Assessment of coronary wall thickening in autosomal dominant hyper- immunoglobin E syndrome (AD-HIES) using TRAPD-MRI. J Cardiovasc Magn Reson 18 (Suppl 1), O5 (2016). https://doi.org/10.1186/1532-429X-18-S1-O5

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  • DOI: https://doi.org/10.1186/1532-429X-18-S1-O5

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