CMR-Analysis (including machine learning)
Bastiaan J.C. te Kiefte, MD
Radiology Resident & PhD Candidate
Leiden University Medical Center, Netherlands
Bastiaan J.C. te Kiefte, MD
Radiology Resident & PhD Candidate
Leiden University Medical Center, Netherlands
Mitch J.F.G. Ramaekers, MD
PhD Candidate
Maastricht University Medical Center, Netherlands
Bouke P. Adriaans, MD, PhD
Resident
Maastricht University Medical Center+
Maastricht, Limburg, Netherlands
Joe f. Juffermans, MSc
PhD Candidate
Leiden University Medical Center
Leiden, Zuid-Holland, Netherlands
Hans C. van Assen, PhD
Image analysis
Leiden University Medical Center, Netherlands
Arthur J.H.A. Scholte, MD, PhD
Cardiologist
Leiden University Medical Center
Leiden, Zuid-Holland, Netherlands
Joachim E. WIldberger, MD, PhD
Professor of Radiology
Maastricht University Medical Center, Netherlands
Simon Schalla, MD, PhD
Cardiologist
Maastricht University Medical Center, Netherlands
Jos J.M. Westenberg, PhD
Associate Professor
Leiden University Medical Center
Leiden, Zuid-Holland, Netherlands
Hildo Lamb, MD, PhD
Radiology Professor
Leiden University Medical Center
Leiden, Zuid-Holland, Netherlands
The ascending and abdominal aorta are regions at risk for aneurysms and rupture. Pulse wave velocity (PWV), vessel wall thickness (VWT) and wall shear stress (WSS) are CMR derived parameters (in)directly capable of characterising the vessel wall. The aim of this study was to investigate whether there are age and sex-specific differences in normal vessel wall characteristics assessed by CMR.
Methods:
94 healthy volunteers (48% male) equally distributed in five age groups (1: 18-29, 2: 30-39, 3: 40-49, 4: 50-59, 5: 60-70 years) were included in this study and underwent CMR imaging of the entire aorta. Semi-automatic segmentation of aortic volume in peak systolic phase was performed on 4D flow MRI. Seven planes were positioned perpendicular to the segmentation centerline, dividing the aorta into 7 segments (Figure 1). Axial (WSSaxial) and circumferential (WSScirc) WSS were determined in the ascending and abdominal aorta (segments 2 and 7, respectively). VWT was determined in the ascending aorta at the level of the pulmonary trunk (VWTasc) and proximal to the aortic bifurcation (VWTabd) on two 2D black-blood dual-inversion recovery MRI acquisitions. PWV was assessed from 2D phase contrast MRI with the seven acquisition planes as shown in Figure 1. A weighted average was calculated in het ascending and abdominal aorta: PWVasc and PWVabd (segments 1-3 and 6-7, respectively).
Results:
Age and sex specific results of PWV, VWT and WSS are shown as boxplots in Figures 2 and 3. PWVasc and PWVabd increase with age, with significant differences between age groups (both p < 0.01), but not between sexes. Post-hoc analysis demonstrated that PWVasc in age group 5 was significantly higher compared to all other groups (p < 0.01), and that PWVabd had significant differences between all age groups, except 1 compared to 2, and 3 compared to 4. VWTasc and VWTabd increase by age, with significant differences between age groups (both p < 0.01) and also between sexes in VWTasc (p < 0.05). Post-hoc analysis demonstrated higher values in women compared to men in age group 4 (p < 0.05), and VWTasc in age groups 4 and 5 was significantly higher than in age groups 1-3 (p < 0.01). WSSaxial and WSScirc decrease by age, with significant differences between age groups (both p < 0.01). Post-hoc analysis demonstrated that WSSaxial was significantly lower in age group 5 compared to age groups 1-3 in het ascending aorta (p < 0.01), and significantly lower in age groups 4 and 5 compared to age groups 1-3 in het abdominal aorta (p < 0.01). WSScirc only showed significant differences in the abdominal aorta between age group 5 compared to age group 1 (p < 0.01) and age group 2 (p < 0.05).
Conclusion:
Significant differences between age groups and also between sexes emphasize the need of age and sex-specific normal values of vessel wall characteristics assessed by CMR of the ascending and abdominal aorta.