Guang-Xian Wang1, Wen Li2, Sheng Lei3, Xiao-Dong Ge4, Jin-Bo Yin5, Dong Zhang6. 1. Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: wgxlove1234@163.com. 2. Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: xqwgxwl@163.com. 3. Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: xqleisheng@163.com. 4. Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: xqgxd123@163.com. 5. Department of Neurosurgery, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: xqyinjinbo@163.com. 6. Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, PR China. Electronic address: xqzhangdong@163.com.
Abstract
BACKGROUND AND PURPOSE: Aneurysmal wall enhancement (AWE) is thought to reflect wall inflammation and is a novel imaging biomarker for intracranial aneurysm (IA) risk evaluation. However, the relationship between AWE and other conventional risk factors (e.g., size) remains unclear. The aim of this study was to investigate the relationship between AWE and other risk factors. MATERIAL AND METHODS: Seventy-six consecutive patients from February 2016 to April 2017 with 88 unruptured IAs were reviewed. Patients and IAs were divided into with AWE and without AWE groups according to high-resolution magnetic resonance imaging (HRMRI) images. In addition to the patients' clinical characteristics, the features of the IAs (e.g., size and aspect ratio (AR)) were evaluated via computed tomography angiography. Multiple logistic regression analysis was used to identify the association between AWE and other risk factors. A receiver operating characteristic curve analysis was performed for the final model to obtain optimal thresholds. RESULTS: IAs with an irregular shape (OR 12.544) and a high AR (OR 32.891) were associated with AWE. The threshold value of the AR was 1.05. CONCLUSIONS: AWE on contrast-enhanced HRMRI was correlated with IAs with an irregular shape and a high AR. AWE may be a marker of instability and even risk of rupture.
BACKGROUND AND PURPOSE:Aneurysmal wall enhancement (AWE) is thought to reflect wall inflammation and is a novel imaging biomarker for intracranial aneurysm (IA) risk evaluation. However, the relationship between AWE and other conventional risk factors (e.g., size) remains unclear. The aim of this study was to investigate the relationship between AWE and other risk factors. MATERIAL AND METHODS: Seventy-six consecutive patients from February 2016 to April 2017 with 88 unruptured IAs were reviewed. Patients and IAs were divided into with AWE and without AWE groups according to high-resolution magnetic resonance imaging (HRMRI) images. In addition to the patients' clinical characteristics, the features of the IAs (e.g., size and aspect ratio (AR)) were evaluated via computed tomography angiography. Multiple logistic regression analysis was used to identify the association between AWE and other risk factors. A receiver operating characteristic curve analysis was performed for the final model to obtain optimal thresholds. RESULTS: IAs with an irregular shape (OR 12.544) and a high AR (OR 32.891) were associated with AWE. The threshold value of the AR was 1.05. CONCLUSIONS: AWE on contrast-enhanced HRMRI was correlated with IAs with an irregular shape and a high AR. AWE may be a marker of instability and even risk of rupture.
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