Mi Shen1, Peiyi Gao2, Qian Zhang3, Lina Jing1, Hongyi Yan3, Hao Li1. 1. Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China. 2. Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China; Beijing Neurosurgical Institute, Beijing, China. Electronic address: cjr.gaopeiyi@vip.163.com. 3. Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Abstract
BACKGROUND: Deep subcortical infarction is a major subtype of stroke in middle cerebral artery (MCA) territory. This study aims to evaluate the relationship between characteristics of MCA plaque and features of deep subcortical infarction. METHODS: Patients with recent acute ischemic stroke and deep subcortical infarction were prospectively enrolled. Both multicontrast brain sequences and 3D high-resolution vessel wall imaging (VWI) sequences were scanned for all patients. MCA plaque characteristics, including plaque presence, location, maximum vessel wall thickness (Max WT), signal intensity and luminal stenosis, and deep subcortical infarction features, including lowest infarct layer index (LILI), area, volume, maximum area, and infarct quantity were evaluated. Infarct feature differences were compared between MCA plaque+ group and MCA plaque- group. The correlations between MCA plaque characteristics and deep subcortical infarction features were analyzed. RESULTS: Of all 50 patients included in this study, 30 (60%) had MCA plaques. All deep subcortical infarction was single lesion for patients without MCA plaque. The average number of deep subcortical infarction for patients with MCA plaque was 3.10 ± 4.44. The LILI (P = .036) and infarct quantity (P = .030) showed significant differences between 2 groups. Max WT (P = .025) and stenosis degree (P = .023) were negatively correlated with LILI. Intraplaque hemorrhage was positively correlated with maximum area (P = .029) and infarct volume (P = .030). CONCLUSIONS: MCA plaque characteristics were correlated with deep subcortical infarct features. Magnetic resonance VWI may provide more information for etiological evidence of deep subcortical infarction.
BACKGROUND:Deep subcortical infarction is a major subtype of stroke in middle cerebral artery (MCA) territory. This study aims to evaluate the relationship between characteristics of MCA plaque and features of deep subcortical infarction. METHODS:Patients with recent acute ischemic stroke and deep subcortical infarction were prospectively enrolled. Both multicontrast brain sequences and 3D high-resolution vessel wall imaging (VWI) sequences were scanned for all patients. MCA plaque characteristics, including plaque presence, location, maximum vessel wall thickness (Max WT), signal intensity and luminal stenosis, and deep subcortical infarction features, including lowest infarct layer index (LILI), area, volume, maximum area, and infarct quantity were evaluated. Infarct feature differences were compared between MCA plaque+ group and MCA plaque- group. The correlations between MCA plaque characteristics and deep subcortical infarction features were analyzed. RESULTS: Of all 50 patients included in this study, 30 (60%) had MCA plaques. All deep subcortical infarction was single lesion for patients without MCA plaque. The average number of deep subcortical infarction for patients with MCA plaque was 3.10 ± 4.44. The LILI (P = .036) and infarct quantity (P = .030) showed significant differences between 2 groups. Max WT (P = .025) and stenosis degree (P = .023) were negatively correlated with LILI. Intraplaque hemorrhage was positively correlated with maximum area (P = .029) and infarct volume (P = .030). CONCLUSIONS: MCA plaque characteristics were correlated with deep subcortical infarct features. Magnetic resonance VWI may provide more information for etiological evidence of deep subcortical infarction.
Authors: Jae W Song; Athanasios Pavlou; Morgan P Burke; Haochang Shou; Kofi-Buaku Atsina; Jiayu Xiao; Laurie A Loevner; David Mankoff; Zhaoyang Fan; Scott E Kasner Journal: Neuroradiology Date: 2020-10-07 Impact factor: 2.995