Qi Haikun1, Peng Liu2, and Huijun Chen1
1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, China, People's Republic of, 2Department of Neurosurgical, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Beijing, China, People's Republic of
Synopsis
The rupture risk prediction of unruptured intracranial
aneurysm (IA) is very important in clinical practice and increased knowledge of
predictors for IA rupture is needed. IA wall permeability has great potential
for aneurysm rupture risk prediction, and can be quantified by DCE-MRI. In this
study, we measured IA wall permeability using DCE-MRI, and compared it with
established clinical/imaging risk metrics. We found IA wall permeability may be
independent of aneurysm size and IA wall enhancement providing distinctive information
for IA rupture risk prediction.Introduction
Individual
assessment of rupture risk of intracranial aneurysm (IA) is still challenging,
and increased knowledge of predictors for IA rupture is needed. Aneurysm wall
enhancement (AWE) in post-contrast black-blood MRI, reflecting the IA wall inflammation/angiogenesis,
was found to have higher prevalence in ruptured IAs (1, 2).
Recently, the permeability of IA wall quantified by dynamic contrast-enhanced
MRI (DCE-MRI) has been proposed to predict IA progression (3). However, the relationship of IA wall permeability with
other risk factors and its value in IA rupture risk assessment are unknown. Thus,
the purpose of this study is to investigate the relationship of IA wall
permeability with established clinical/imaging risk factors and explore its potential
in IA rupture prediction.
Method
MR imaging: After institutional
ethics approval and obtained informed consent, 32 patients with unruptured
saccular IAs diagnosed by DSA were recruited. The MR imaging was performed on a
3.0T Philips scanner with a 32-channel head coil. The MRI protocol included: TOF,
3D pre- and post-contrast black blood T1W-VISTA (4)
for IA wall imaging (voxel size=0.6mm isotropic), pre-contrast T1 mapping, and 3D
DCE-MRI. DCE-MRI was performed for 6mins with 8.8s interval for 10 slices. A
bolus of 0.1mmol/kg Gd-DTPA (Magnevist; Bayer Healthcare) was injected at the third dynamic. Other imaging
parameters were: FOV=160x160mm2; spatial resolution=0.8x0.8mm2; TR/TE=3.9/2ms; slice
thickness=4mm (interpolated to 2mm).
Image analysis: An experienced neuroradiologist evaluated the IA size, location,
multiplicity and blebs by the DSA. And the AWE was evaluated in post-contrast VISTA
images compared with the pre-contrast. For DCE-MRI, the extended Kety/Tofts model (5) was used to generate transfer constant (Ktrans),
which reflects IA wall permeability. ROIs were placed by another neuroradiologist
blinded to patient information and AWE, on the region with the highest Ktrans values adjacent to the
aneurysm wall for IA wall permeability quantification and a reference region
near a normal artery. Then the mean Ktrans
was calculated for each ROI after excluding blood contaminations (3).
Statistical analysis: IA wall permeability was compared with the reference
by paired t-test. The relationship of IA wall permeability with IA size, AWE, location,
multiplicity, blebs, age, gender, hypertension, and smoking
were analyzed by Pearson correlation or independent t-test. The agreement between
the locations of high IA wall permeability and the AWE region was reported. For
the part of the population with follow-up after MR imaging, independent t-test
was used to compare IA size and Ktrans
between the ruptured and unruptured patients.
Results
Three
patients were excluded for DCE analysis for the cavernous sinus
corruption after contrast injection. Of the remaining 29 patients (16-74
years; 22 females), IA wall permeability were larger than the reference (0.0428±0.0380min
-1 vs. 0.0033±0.0017min
-1,
P<0.001). As shown in Fig 1a, K
trans
was weakly correlated with IA size (P<0.01).
For the relationship between IA wall permeability and AWE, although higher K
trans (P=0.036) were found in patients with AWE (n=19) compared with patients
without AWE (n=10), a considerable portion of patients (9 cases, 47%) with AWE has
relatively low K
trans (arrow in Fig 1b). Moreover, of the 12 patients with
partial AWE, the locations of high IA wall permeability and AWE mismatched in 4
cases (33.3%). There were no significant associations found between K
trans and other clinical/imaging
markers (P>0.05). In this
population, 9 patients received conservative treatments and were followed for
6-10 months, of which 2 patients died from aneurysmal subarachnoid hemorrhage. Fig.
3 shows the K
trans maps
and the post-contrast VISTA images of the 2 ruptured cases. One ruptured patient
had AWE (Fig. 2b), while the other had no
obvious AWE (Fig. 2c). The IA size was also not
significantly different between the ruptured and unruptured patients (P=0.607, Fig. 3a).
But, the K
trans of the 2
ruptured patients were significantly larger than the 7 unruptured cases (P<0.01, Fig.
3b).
Discussion and Conclusion
In this study, K
trans near the IA wall was found to be higher than normal
arteries, suggesting the permeability of IA wall was elevated. Among all the
tested clinical/imaging markers, IA wall permeability was weakly correlated
with IA size, and was associated with AWE. However, there were patients whose
AWE and high IA wall permeability disagreed in both K
trans values and locations. The weak correlation with
IA size and disagreement with AWE indicate that IA wall permeability may
provide additional information. More importantly, rather than IA size and AWE, IA
wall permeability was significantly different between the ruptured and
unruptured IAs in follow-up patients, suggesting that aneurysm wall
permeability may be an independent risk factor for IA rupture risk prediction.
Acknowledgements
No acknowledgement found.References
[1] Nagahata S, et al. Clin Neuroradiol.
2014:1-7. [2] Aoki S, et al. Radiology.
1995;194:477-481. [3] Vakil P, et al. AJNR. 2015;36:953-959. [4] Qiao Y, et al. JMRI. 2011;34:22-30. [5] Tofts P.S, et al. JMRI. 1997;7:91-101.