Value of nomogram based on high-resolution magnetic resonance vessel wall imaging in differentiating moyamoya disease from atherosclerotic moyamoya syndrome
10.3760/cma.j.cn115354-20240924-00590
- VernacularTitle:基于高分辨磁共振血管壁成像特征的列线图鉴别烟雾病与动脉粥样硬化性烟雾综合征的应用价值分析
- Author:
Zhen CHONG
1
;
Lihua HOU
;
Qingqing JIN
;
Deguo LIU
;
Hao YU
;
Shujun ZHANG
;
Yueqin CHEN
Author Information
1. 济宁医学院附属医院医学影像科，济宁 272029
- Keywords:
Moyamoya disease;
Atherosclerosis moyamoya syndrome;
High-resolution magnetic resonance;
Nomogram
- From:
Chinese Journal of Neuromedicine
2024;23(11):1100-1106
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To assess the clinical value of nomogram based on high resolution magnetic resonance vessel wall imaging (HR-VWI) features in differentiating moyamoya disease (MMD) from atherosclerotic moyamoya syndrome (A-MMS).Methods:Eighty-four patients with digital subtraction angiography (DSA)-confirmed MMD and 73 patients with DSA-confirmed A-MMS were enrolled from Department of Medical Imaging, Affiliated Hospital of Jining Medical University from June 2020 to November 2023. All patients underwent HR-VWI. A retrospective analysis was performed on their imaging data. Univariate analysis was used to compare the differences in imaging characteristics between the two groups. Multivariate Logistic regression analysis was used to screen independent influencing factors for differentiating MMD from A-MMS and a nomogram was constructed accordingly. Receiver operating characteristic (ROC) curve and calibration curve were used to evaluate the validity and calibration of the nomogram.Results:Univariate analysis showed that age, pattern of vessel wall thickening, maximum vessel wall thickness, enhancement degree of vessel wall, vessel external diameter, ipsilateral anterior cerebral artery involvement and dot sign were statistically different between the two groups ( P<0.05). Multivariate Logistic regression analysis showed that age ( OR=6.990, 95% CI: 2.340-20.360, P<0.001), pattern of vessel wall thickening ( OR=0.066, 95% CI: 0.014-0.307, P<0.001), vessel external diameter ( OR=5.224, 95% CI: 1.672-16.324, P=0.005), ipsilateral anterior cerebral artery involvement ( OR=0.160, 95% CI: 0.038-0.679, P=0.013) and dot sign ( OR=0.081, 95% CI: 0.018-0.364, P=0.001) were independent influencing factors for differentiating MMD from A-MMS. ROC curve showed that area under the curve (AUC) of this nomogram was 0.884 (95% CI: 0.821-0.947, P<0.001), and the calibration curve showed a good fit between the predicted probability and actual probability. Conclusion:Nomogram based on HR-VWI features can effectively differentiate MMD from A-MMS.
