Abstract
Background and purpose
Aneurysmal wall enhancement (AWE) has emerged as a new possible biomarker for depicting inflammation of the intracranial aneurysm (IA). However, the relationships of AWE with other risk factors are still unclear for unruptured IA. The purpose of this study was to investigate the association between AWE and other risk metrics.
Methods
Forty-eight patients with unruptured saccular IAs diagnosed by digital subtraction angiography were recruited to undergo magnetic resonance (MR) black-blood imaging. AWE was evaluated using the pre- and post-contrast black-blood MR images. Univariate and multivariate logistic regression analysis was performed to investigate the association of AWE with other risk factors, including size, maximal neck width, parent vessel diameter, location, multiplicity, daughter sacs and other clinical factors. The prevalence of AWE in each ISUIA grade was reported and compared by Wilcoxon rank sum test.
Results
In total, 61 aneurysms were detected in 48 patients. Aneurysm size was found to be an independent risk factor associated with AWE (OR 2.46 per mm increase, 95% CI 1.34–4.51; p = 0.004). Patient age was independently and inversely associated with AWE (OR 0.898 per year increase, 95% CI 0.812–0.994; p = 0.037). Higher prevalence of AWE was observed in larger aneurysms (12%, 71.4%, 100%, and 100% of ISUIA grade 1–4 IAs have AWE, respectively). Notably, 12% of small IAs (size <7 mm) exhibited AWE. The IAs with AWE had significant higher ISUIA grade than the IAs without (p < 0.001, Wilcoxon rank sum test).
Conclusions
The wall enhancement in contrast-enhanced black-blood MR images was independently associated with aneurysm size in unruptured IAs. However, some small unruptured aneurysms did exhibit wall enhancement, suggesting that AWE may provide additional aneurysm instability information to improve current size-based rupture risk evaluation metrics.
Keywords: Unruptured intracranial aneurysm, aneurysmal wall enhancement, MRI, inflammation, vasa vasorum
Introduction
Intracranial aneurysm (IA) is an important vascular abnormality, which has substantial mortality and morbidity caused by subarachnoid hemorrhage with aneurysm rupture.1–6 In clinical practice, preventive treatments including microsurgical clipping and endovascular treatment are used to prevent the rupture of IA. However, all those treatments have a non-negligible risk of procedural morbidity.5,7,8 Thus, assessment of the rupture risk for unruptured IAs is important for treatment decisions.
Currently, the most widely used IA rupture risk evaluation method in clinical practice is the aneurysm size measured by digital subtraction angiography (DSA), established by the International Study of Unruptured Intracranial Aneurysms (ISUIA).8 Other characteristics, such as the IA location, smoking, hypertension, age and gender are also considered to be associated with IA rupture.8,9 Recently, post-contrast aneurysmal wall enhancement (AWE) in Gadolinium contrast-enhanced black-blood vessel wall magnetic resonance (MR) imaging has been used for IA.10–12 The results of these studies suggested that AWE, which was considered to reflect aneurysm wall inflammation, may be a new imaging biomarker for IA risk evaluation. However, for unruptured IAs, the relationships of AWE with other risk factors are still unclear. Thus, in this study, we aimed to investigate the association between AWE and other risk metrics.
Method
Study population
This study was approved by the institutional ethics committee, and written informed consents were obtained from all participants before experiments. Forty-eight patients with untreated unruptured saccular IAs diagnosed by DSA were recruited to undergo MR imaging between November 2013 and July 2015. All the patients had no contraindications to MR imaging and contrast usage, including pregnancy or breast feeding, contrast allergy, claustrophobia, renal insufficiency, and presence of MRI-incompatible implants. Patient demographics (age, gender, etc.) and clinical presentations were collected using the electronic healthcare database.
Imaging protocol
DSA
DSA was performed on the biplane flat-panel digital subtraction unit (GE, USA; or Siemens, Germany). Under local anesthesia via unilateral femoral access route, a diagnostic catheter was used to obtain standard 2D posterior, anterior, lateral and oblique projections. Then, 3D rotational angiography was performed with 5 s run with contrast injection at a rate of 4 ml/s.
MRI
The MR imaging was performed on a 3.0T MR scanner (Achieva TX, Philips, Best, The Netherlands) with a 32-channel head coil. First, a 3D time-of-flight sequence was used to generate MR angiography for the localization of subsequent scans. Then, the IA walls were imaged by a 3D black-blood T1W-VISTA sequence which has inherent blood flow suppression before and after contrast agent administration.13 During the 3D T1W-VISTA imaging, a 54 mm-thick transverse slab was acquired to cover all the IAs in each patient. Other imaging parameters included: FOV = 160 × 160 mm2; voxel size = 0.6 × 0.6 × 0.6 mm3; TR/TE = 700/30 ms; turbo factor = 49, including 4 startup echoes; parallel imaging sense factor = 2. Post-contrast T1W-VISTA was performed about 6 min after an intravenous injection of Gd-DTPA (Magnevist; Bayer Schering Pharma, Berlin, Germany) at a dose of 0.1 mmol/kg. All imaging parameters were kept the same for the pre- and post-contrast T1W-VISTA imaging.
Image analysis
For DSA, the 3D rotational angiographic data were transferred to a workstation (Leonardo, Siemens) and reconstructed into a 3D model for each IA. The 3D IA models were reviewed by an experienced neuroradiologist (XL, 10 years of experience in neuroradiology) to find a best view angle to measure IA morphological indices, including aneurysm size, maximal neck width and parent vessel diameter, as well as location classification (anterior vs. posterior), presence of multiplicity and daughter sacs. Aneurysm size was defined by the maximum measurement of aneurysm width or aneurysm neck-to-dome length.14
For MR image analysis, two experienced reviewers (PL, 10 years of experience in neuroradiology; HQ, 3 years of experience in vascular imaging), blinded to DSA results and patients’ clinical manifestations, evaluated the wall enhancement of each aneurysm on the post-contrast T1W-VISTA image using the pre-contrast image as reference in consensus reading. Representative MR images with and without post-contrast AWE are shown in Figure 1.
Figure 1.
Representative pre- and post-contrast T1W-VISTA images of aneurysms with wall enhancement (a, b) and without (c, d). (a) a post-contrast-enhanced aneurysm located in anterior communicating artery with maximal aneurysm size of 9 mm. (b) a post-contrast-enhanced aneurysm located in basilar artery with maximal aneurysm size of 17.1 mm. (c) a post-contrast non-enhanced aneurysm located in posterior cerebral artery with maximal aneurysm size of 6 mm. (d) a post-contrast non-enhanced aneurysm located in basilar artery with maximal aneurysm size of 10.5 mm. The pre- and post-contrast images of the same aneurysm are shown in the same window/level.
Statistical analysis
Variables are presented as means ± standard deviation (SD) or n (%) as appropriate. Characteristics of AWE IAs and no AWE IAs were compared using the Student t-test or chi-square test as appropriate. Univariate and multivariate logistic regression analyses were performed for AWE. The variables that were statistically significant in univariate analysis were selected for multivariate logistic regression analysis. The odds ratio (OR), 95% confidence interval (CI), and p-value were reported. Then each IA was scored by the established four-grade aneurysm risk score (ISUIA: grade 1 (lowest risk): aneurysm size less than 7 mm; grade 2: aneurysm size 7–12 mm; grade 3: aneurysm size 13–24 mm; grade 4 (highest risk): aneurysm size ≥25 mm).8 The prevalence of AWE in each risk grade was reported and compared by Wilcoxon rank sum test. All statistics were done using SPSS (Version 19.0, SPSS Inc.); p < 0.05 was considered statistically significant.
Results
General characteristics of study population
Of 48 patients (36 females; age, 53.6 ± 12.1 years (mean ± standard deviation); age range, 16–74 years), 16 (33.3%) had hypertension, two (4.2%) had diabetes, one (2.1%) had hyperlipidemia, 10 (20.8%) were current smokers. In total, 61 saccular IAs were found from 48 patients. Ten (20.8%) patients had multi aneurysms and seven (11.5%) aneurysms had daughter blebs. Of 61 aneurysms, 46 (75.4%) aneurysms were located in the anterior circulation, including internal carotid artery (ICA)-ophthalmic artery (n = 24), ICA-posterior communicating artery (n = 4), ICA-cavernous sinus segment (n = 3), ICA-carotid terminus (n = 1), anterior communicating artery (n = 4), cerebral middle artery (n = 9), and cerebral anterior artery (n = 1); 15 (24.6%) aneurysms were located in the posterior circulation, including basilar artery (n = 13), posterior cerebral artery (n = 1), and posterior inferior cerebellar artery (n = 1).
Aneurysmal wall enhancement
In this population, AWE was detected in 33/61 (54.1%) unruptured aneurysms. Detailed characteristics of AWE and no AWE IAs are summarized and compared in Table 1. Aneurysm size was significantly different between aneurysms with and without AWE, in addition to patient age, gender, and presence of multiplicity.
Table 1.
The characteristics of aneurysms with AWE and without AWE.
| Characteristics | IAs with AWEa | IAs without AWEa | p-valueb |
|---|---|---|---|
| Number of IAs | 33 (54.1%) | 28 (45.9%) | |
| Age (years) | 51.3 ± 12.4 | 58.0 ± 11.7 | 0.036* |
| Gender (female) | 29 (47.5%) | 17 (27.9%) | 0.014* |
| Hypertension | 11 (18.0%) | 12 (19.7) | 0.444 |
| Diabetes | 1 (1.6%) | 2 (3.3%) | 0.463 |
| Hyperlipidemia | 1 (1.6%) | 1 (1.6%) | 0.906 |
| Smoking | 3 (4.9%) | 7 (11.5%) | 0.776 |
| Aneurysm size (mm) | 15.1 ± 8.4 | 5.2 ± 2.2 | <0.001* |
| Maximal neck width (mm) | 4.9 ± 1.7 | 4.3 ± 0.8 | 0.070 |
| Parent vessel diameter (mm) | 4.2 ± 0.3 | 4.1 ± 0.3 | 0.599 |
| Located in anterior circulation | 25 (41.0%) | 22 (36.1%) | 0.068 |
| Multiplicity | 7 (11.5%) | 15 (24.6%) | 0.009* |
| Daughter sacs | 3 (4.9%) | 4 (6.6%) | 0.526 |
The values represent the number of patients and percentages (%) or mean ± SD (standard deviation). bp-values were from Student t-test or chi-square test as appropriate. *p < 0.05
In univariate analysis (Table 2), aneurysm size, patient age, gender, and presence of multiplicity were found to be significantly associated with AWE (p = 0.041, 0.019, 0.011, and <0.001, respectively). Multivariate logistic regression analysis (Table 2) revealed that maximal aneurysm size was independently associated with the presence of AWE (OR 2.46 per mm increase, 95% CI 1.34–4.51; p = 0.004), as well as patient age (OR 0.898 per year increase, 95% CI 0.812–0.994; p = 0.037).
Table 2.
Univariate and multivariate analysis for aneurysmal wall enhancement.
| Characteristics | Univariate analysis |
Multivariate analysis |
||
|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | |
| Age, year↑ | 0.954 (0.912–0.998) | 0.041* | 0.898 (0.812–0.994) | 0.037* |
| Gender | 4.69 (1.29–17.1) | 0.019* | 14.8 (0.973–224) | 0.052 |
| Hypertension | 1.50 (0.530–4.25) | 0.445 | ||
| Diabetes | 2.46 (0.211–28.7) | 0.472 | ||
| Smoking | 3.33 (0.772–14.4) | 0.107 | ||
| Hyperlipidemia | 1.19 (0.071–19.9) | 0.906 | ||
| Aneurysm size, mm↑ | 1.99 (1.37–2.90) | <0.001* | 2.46 (1.34–4.51) | 0.004* |
| Maximal neck width, mm↑ | 1.46 (0.960–2.24) | 0.079 | ||
| Parent vessel diameter, mm↑ | 1.55 (0.308–7.82) | 0.593 | ||
| Located in anterior circulation | 1.17 (0.352–3.91) | 0.795 | ||
| Multiplicity | 4.29 (1.40–13.1) | 0.011* | 2.46 (0.350–17.3) | 0.366 |
| Daughter sacs | 1.67 (0.340–8.18) | 0.529 | ||
p < 0.05.
As shown in Table 3, of 25 ISUIA grade 1 IAs, 12% have AWE, while 71.4% ISUIA grade 2 aneurysms (n = 21) have AWE; for aneurysms with higher ISUIA grade 3 (n = 10) and 4 (n = 5), 100% have AWE. In the Wilcoxon rank sum test, the IAs with AWE have significant higher ISUIA grade compared with the IAs without AWE (p < 0.001).
Table 3.
The prevalence of aneurysms with AWE in four ISUIA grades (ISUIA: grade 1 (lowest risk): aneurysm size less than 7 mm; grade 2: aneurysm size 7–12 mm; grade 3: aneurysm size 13–24 mm; grade 4 (highest risk): aneurysm size ≥25 mm).
| ISUIA grade | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| AWE | 3 (12%) | 15 (71.4%) | 10 (100%) | 5 (100%) |
| No AWE | 22 (88%) | 6 (28.6%) | 0 | 0 |
| Total | 25 | 21 | 10 | 5 |
Discussion
In this study, we found that the aneurysm size was independently associated with AWE in unruptured aneurysms, which was in contrast to that reported by Edjlali et al.11 In their study, the aneurysm size ranged from 4 to 8 mm. However, in the 61 aneurysms in our study, aneurysm size ranged from 2.9 mm to 30.5 mm, hence we deem that the different study population selection may have resulted in this dissimilar result.
Although still needing further investigation, the AWE of unruptured aneurysms observed in MRI was considered to be caused by aneurysm wall inflammation and the vasa vasorum.10–12,15–17 Thus, the AWE may reflect physiologically unstable properties of the aneurysm wall other than the morphological features of IA. The results of this study suggest that greater inflammation and the vasa vasorum of the IA wall tended to exist in larger aneurysms. Pathological studies support the theory that inflammation and the vasa vasorum play important roles in the aneurysm enlargement. The inflammation of the aneurysm wall may be caused by the intramural bleeding from fragile vasa vasorum or atherosclerosis.15,16 Many growth factors are released with inflammation, stimulating the proliferation of the vessel wall and further leading to aneurysm progression, which may explain the association between AWE and aneurysm size found in this study.16 Also, many kinds of proteases are secreted in inflammation, which destroy the extracellular matrix proteins and weaken the vessel wall.18 Thus, this finding is compatible with the trend observed in the ISUIA study that the rupture risk of IAs increases with the enlargement of aneurysm size.
One major drawback of the aneurysm size-based ISUIA standard is that some small aneurysms may still rupture. Previous investigation showed that up to 37% of patients with subarachnoid hemorrhage had aneurysms smaller than 5 mm in maximal diameter.19 Korja et al.20 investigated the natural history of 118 unruptured IAs, and found 19% small aneurysms (<7 mm in size, ISUIA grade 1) ruptured during the lifelong follow-up period. In this study, although larger aneurysms were observed to have high prevalence of AWE, we found that as many as 12% small unruptured aneurysms (ISUIA grade 1, aneurysm size <7 mm) manifested AWE. This result suggests that AWE may provide additional information about aneurysm instability other than size. Thus, AWE may be a potential metric to improve the current IA risk evaluation standard.
In this study, we also found patient age was inversely associated with AWE, suggesting that age may confer a protective effect against aneurysm wall inflammation and vasa vasorum, thus the rupture risk. Although patient age has been regarded as a risk factor for rupture in most studies, our finding is similar to the study carried out by Juvela et al.,21 which reported that patient age inversely predicted subsequent aneurysm rupture in a long-term natural history study of unruptured IAs involving 142 patients. However, the reason that age may be a protective factor remains unclear. In the future, larger sample sizes and more detailed studies are needed to determine the potential role of age in predicting the presence of AWE.
One limitation of this study is patient recruitment bias, because it was carried out in a single hospital and patients with larger aneurysms were more willing to participate, leading to a high prevalence of larger aneurysms (36 out of 61 aneurysms were larger than 7 mm in size). This may explain the high prevalence of AWE (33/61) observed in this study, with our finding that larger aneurysms tend to have higher prevalence of AWE. The other limitation is that reading of the MRI images was not completely blinded to the risk factors, as many of the risk factors (for example size, morphology, multiplicity) would be evident when looking at the vessel wall images.
Conclusions
Wall enhancement in contrast-enhanced black-blood MR image was independently associated with aneurysm size in unruptured IAs. However, some (12%) small unruptured aneurysms (size <7 mm) did exhibit wall enhancement, suggesting that AWE may provide additional information about aneurysm instability to improve current size-based rupture risk evaluation metrics.
Acknowledgments
We sincerely thank all of the patients and health care workers who participated in this study.
Declaration of conflicting interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Commission of Beijing Municipal Science and Technology, municipal clinical special application study, the special fund project (No. Z14110000211441); National Natural Science Foundation (81371540, 81571667, 81171078 and 81471166); Beijing Talents Training Project (Category D) and Beijing Hygiene System High-level Hygienic Technical Personnel Training Program and the Talents Program of Beijing Tiantan Hospital (Hospital Backbone Program).
References
- 1.Ishibashi T, Murayama Y, Urashima M, et al. Unruptured intracranial aneurysms incidence of rupture and risk factors. Stroke 2009; 40: 313–316. [DOI] [PubMed] [Google Scholar]
- 2.Costalat V, Sanchez M, Ambard D, et al. Biomechanical wall properties of human intracranial aneurysms resected following surgical clipping (irras project). J Biomech 2011; 44: 2685–2691. [DOI] [PubMed] [Google Scholar]
- 3.deRooij NK, Linn FH, van der Plas JA, et al. Incidence of subarachnoid haemorrhage: A systematic review with emphasis on region, age, gender and time trends. J Neurol Neurosurg Psychiatry 2007; 78: 1365–1372. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Vlak MH, Algra A, Brandenburg R, et al. Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: A systematic review and meta-analysis. Lancet Neurol 2011; 10: 626–636. [DOI] [PubMed] [Google Scholar]
- 5.Japan Investigators UCAS, Morita A, Kirino T, et al. The natural course of unruptured cerebral aneurysms in a Japanese cohort. N Engl J Med 2012; 366: 2474–2482. [DOI] [PubMed] [Google Scholar]
- 6.Wardlaw JM, White PM. The detection and management of unruptured intracranial aneurysms. Brain 2000; 123: 205–221. [DOI] [PubMed] [Google Scholar]
- 7.Pierot L, Spelle L, Vitry F, et al. Immediate clinical outcome of patients harboring unruptured intracranial aneurysms treated by endovascular approach: Results of the ATENA study. Stroke 2008; 39: 2497–2504. [DOI] [PubMed] [Google Scholar]
- 8.Wiebers DO, Whisnant JP, Huston J, et al. Unruptured intracranial aneurysms: Natural history, clinical outcome, and risks of surgical and endovascular treatment. Lancet 2003; 362: 103–110. [DOI] [PubMed] [Google Scholar]
- 9.Wermer MJ, van der Schaaf IC, Algra A, et al. Risk of rupture of unruptured intracranial aneurysms in relation to patient and aneurysm characteristics: An updated meta-analysis. Stroke 2007; 38: 1404–1410. [DOI] [PubMed] [Google Scholar]
- 10.Matouk CC, Mandell DM, Gunel M, et al. Vessel wall magnetic resonance imaging identifies the site of rupture in patients with multiple intracranial aneurysms: Proof of principle. Neurosurgery 2013; 72: 492–496. discussion 496. [DOI] [PubMed] [Google Scholar]
- 11.Edjlali M, Gentric JC, Regent-Rodriguez C, et al. Does aneurysmal wall enhancement on vessel wall MRI help to distinguish stable from unstable intracranial aneurysms? Stroke 2014; 45: 3704–3706. [DOI] [PubMed] [Google Scholar]
- 12.Nagahata S, Nagahata M, Obara M, et al. Wall enhancement of the intracranial aneurysms revealed by magnetic resonance vessel wall imaging using three-dimensional turbo spin-echo sequence with motion-sensitized driven-equilibrium: A sign of ruptured aneurysm? Clin Neuroradiol 2014. [Epub ahead of print October 21, 2014] http://link.springer.com/article/10.1007/s00062-014-0353-z. Accessed 21 October 2014. [DOI] [PubMed] [Google Scholar]
- 13.Qiao Y, Steinman DA, Qin Q, et al. Intracranial arterial wall imaging using three-dimensional high isotropic resolution black blood MRI at 3.0 Tesla. J Magn Reson Imaging 2011; 34: 22–30. [DOI] [PubMed] [Google Scholar]
- 14.Backes D, Vergouwen MD, Velthuis BK, et al. Difference in aneurysm characteristics between ruptured and unruptured aneurysms in patients with multiple intracranial aneurysms. Stroke 2014; 45: 1299–1303. [DOI] [PubMed] [Google Scholar]
- 15.Aoki S, Shirouzu I, Sasaki Y, et al. Enhancement of the intracranial arterial wall at MR imaging: Relationship to cerebral atherosclerosis. Radiology 1995; 194: 477–481. [DOI] [PubMed] [Google Scholar]
- 16.Iihara K, Murao K, Sakai N, et al. Continued growth of and increased symptoms from a thrombosed giant aneurysm of the vertebral artery after complete endovascular occlusion and trapping: The role of vasa vasorum. Case report. J Neurosurg 2003; 98: 407–413. [DOI] [PubMed] [Google Scholar]
- 17.Nakatomi H, Segawa H, Kurata A, et al. Clinicopathological study of intracranial fusiform and dolichoectatic aneurysms: Insight on the mechanism of growth. Stroke 2000; 31: 896–900. [DOI] [PubMed] [Google Scholar]
- 18.Kilic T, Sohrabifar M, Kurtkaya O, et al. Expression of structural proteins and angiogenic factors in normal arterial and unruptured and ruptured aneurysm walls. Neurosurgery 2005; 57: 997–1007. discussion 1997-1007. [DOI] [PubMed] [Google Scholar]
- 19.Juvela S, Porras M, Poussa K. Natural history of unruptured intracranial aneurysms: Probability and risk factors for aneurysm rupture. J Neurosurg 2000; 93: 379–387. [DOI] [PubMed] [Google Scholar]
- 20.Korja M, Lehto H, Juvela S. Lifelong rupture risk of intracranial aneurysms depends on risk factors: A prospective Finnish cohort study. Stroke 2014; 45: 1958–1963. [DOI] [PubMed] [Google Scholar]
- 21.Juvela S, Poussa K, Lehto H, et al. Natural history of unruptured intracranial aneurysms: A long-term follow-up study. Stroke 2013; 44: 2414–2421. [DOI] [PubMed] [Google Scholar]

