Mingzhu Fu1, Shuo Chen1, Miaoqi Zhang1, and Rui Li1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China
Synopsis
we studied the
relationship between aneurysm wall enhancement and distribution of hemodynamic
parameters including WSS and OSI on aneurysm wall from pixel-wise perspective
based on the self-control of aneurysm. Statistics indicated that enhanced wall area
of intracranial aneurysm had significant lower WSS and higher OSI.
Introduction
A ruptured aneurysm is
an important cause of intracranial subarachnoid hemorrhage, which can lead to
patient disability or even death.1 MRI is a useful tool for
screening and diagnosis of aneurysms. 2Recently, several studies
have shown that the aneurysm wall enhancement on MR vessel wall (MR-VW)
postgadolinium T1 weighted imaging (T1WI) is related to the stability of
aneurysm, and can be used to assess the risk of aneurysm rupture.3,4
Previous studies based on multiple aneurysm cases have shown that hemodynamic
parameters including wall shear stress (WSS) and oscillatory shear index (OSI),
which were considered to be risk factors of endothelial cell injury and inflammation,5
were related to aneurysm wall enhancement.6However, the pixel-wised distribution
of enhancement values on aneurysm wall and hemodynamic parameters have not been
revealed. Here, we studied the relationship between aneurysm wall enhancement
and distribution of hemodynamic parameters on aneurysm wall from pixel-wise
perspective based on the self-control of aneurysm.Methods
To study the
relationship between distribution of enhancement values and distribution of
hemodynamic parameters, MRI sequences including MR-VW postgadolinium T1WI,
time-of-flight MRA (TOF-MRA), 4D Flow MRI were performed on a 3.0T MRI scanner
(Philips Achieva, Best, Netherlands) with a 32-channel head coil. The MR-VW
postgadolinium T1WI images were collected with 0.5 x 0.5 x 1 mm3
resolution. TOF images were collected with 0.7 x 0.7 x 1 mm3
resolution and 4D Flow MRI images were collected with 1 mm isotropic spatial
resolution. The TOF images registered to 4D Flow MRI images were utilized to
get the mask of aneurysm due to possible incomplete display of aneurysm caused
by thrombus in 4D Flow MRI. In order to achieve a comparative study on the same
blood vessel model, the MR-VW postgadolinium T1WI images were also registered
to the 4D flow MRI images. All 3D rigid image registrations were performed with
a functional module named elastix in open source software (3D slicer). To
reduce the impact of registration on obtaining the enhancement values on vessel
wall, the normal vectors of vessel wall were calculated, and the maximum of the
enhancement value of three pixels near the vessel wall in the direction of
normal vector was set as the enhancement value on vessel wall. Next, the
enhancement values on aneurysm wall were obtained by selecting the ROI, which
was realized by a clipping box, as shown in Figure 1E. To study the
distribution characteristics of WSS and OSI on different enhanced areas, the
aneurysm was divided into low enhanced area and high enhanced area using the
median of enhancement values on aneurysm wall as a threshold. The hemodynamic
parameters including WSS (time-averaged) and OSI were calculated7
and distribution of them on low or high enhanced area were obtained. Difference
of distribution on different areas was analyzed with Mann-Whitney U test. The
level of statistical significance was set at p < 0.05.Result
Two cases of aneurysm
were analyzed. Aneurysm of case I with about 2700 pixels were used to analyze, was
located at the end of M1 of middle cerebral artery, as shown in Figure 1A. Aneurysm
of case II with about 3700 pixels were used to analyze, was located at the top
of base artery, as shown in Figure 3A. Figure 2 and Figure 4 showed the scatter
plot of distributions of WSS (A) and OSI (B) on low enhanced area (blue dots)
and high enhanced area (red dots) of aneurysm of case I and case II, respectively.
Figure 5 showed that the high enhanced area had significantly
lower WSS (mean, 1.024 vs 1.428; median,0.91 vs 1.12; P < 0.001) and significantly
higher OSI (mean, 0.035 vs 0.028; median, 0.01 vs 0.01; P = 0.0037) than low
enhanced area in case I. Similarly, the high enhanced area had significantly
lower WSS (mean, 0.977 vs 1.164; median, 0.87 vs 1.03; P < 0.001) and significantly
higher OSI (mean, 0.078 vs 0.065; median, 0.03 vs 0.02; P < 0.001) than low
enhanced area in case II. Discussion and Conclusion
In our work, the
relationship between aneurysm wall enhancement and distribution of hemodynamic
parameters on aneurysm wall was studied by dividing aneurysm into low enhanced
area and high enhanced area from pixel-wise perspective. The results of both
two cases showed that the high enhanced area had lower WSS and higher OSI. This
is probably because exposure to low WSS may upgrade endothelial surface
adhesion molecules and increase the permeability of aneurysm wall.8
OSI reflects the degree of fluctuation of WSS. A higher OSI means greater WSS
changes, and greater WSS changes are more likely to damage the endothelial cell
layer and cause inflammation, thereby increasing the permeability of vessel
wall to contrast agent. Therefore, lower WSS and higher OSI make it easier for
the contrast agent to be adhered, ingested or leaked, resulting in higher
aneurysm wall enhancement.
Acknowledgements
No acknowledgement found.References
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