出 处:《Chinese Medical Journal》2013年第2期311-317,共7页中华医学杂志(英文版)
基 金:This study was supported by the National Natural Science Foundation of China (No. 30870710, No. 81000653) and the Foundation of Research and Innovation Program for Postgraduates in Jiangsu Province (No. CXZZll.0718).
摘 要:Background A new lacunar infarction model was recently established in beagle dogs through proximal middle cerebral artery (MCA) occlusion by thrombus. This study aimed to characterize the model by multimodal magnetic resonance imaging (MRI) and to investigate its potential role for the future stroke research. Methods The left proximal MCA was embolized with an autologous thrombus in six beagles. Diffusion-weighted imaging (DWI) and T2-weighted imaging (T2Wl) were performed every half hour during the first six hours after occlusion, followed by three time points at 12 hours, 24 hours, and one week. Perfusion-weighted imaging (PWI) and magnetic resonance angiography (MRA) were carried out at six hours, 24 hours and one week. The PWI-DWI mismatch ratio was defined as (PWI-DWl)/DWl ischemic volume. Results Lacunar infarcts induced by MCA occlusion were located in the left caudate nucleus and internal capsule. All the lesions could be detected within two hours by DWI. Lesion volume on DWl increased in a time dependent manner, from (87.19±67.16) mm3 at one hour up to (368.98±217.05) mm3 at 24 hours (P=0.009), while that on PWl gradually decreased from (7315.00±2054.38) mm3at six hours to (4900.33±1319.71) mm3 at 24 hours and (3334.33±1195.11) mm3 at one week (P=0.002). The mismatch ratio was 41.93±22.75 at six hours after ischemia, showing "extensive mismatch", and decreased to 18.10±13.74 at 24 hours (P=0.002). No MCA recanalization was observed within 24 hours after MCA occlusion. Conclusions Lacunar infarction induced by proximal MCA occlusion could be detected early by DWl and was characterized by extensive PWI-DWl mismatch. Multimodal MRI is useful to demonstrate the natural evolution of PWI-DWl mismatch. This ischemic model could be further used for investigating early thrombolysis in lacunar stroke showing extensive mismatch.Background A new lacunar infarction model was recently established in beagle dogs through proximal middle cerebral artery (MCA) occlusion by thrombus. This study aimed to characterize the model by multimodal magnetic resonance imaging (MRI) and to investigate its potential role for the future stroke research. Methods The left proximal MCA was embolized with an autologous thrombus in six beagles. Diffusion-weighted imaging (DWI) and T2-weighted imaging (T2Wl) were performed every half hour during the first six hours after occlusion, followed by three time points at 12 hours, 24 hours, and one week. Perfusion-weighted imaging (PWI) and magnetic resonance angiography (MRA) were carried out at six hours, 24 hours and one week. The PWI-DWI mismatch ratio was defined as (PWI-DWl)/DWl ischemic volume. Results Lacunar infarcts induced by MCA occlusion were located in the left caudate nucleus and internal capsule. All the lesions could be detected within two hours by DWI. Lesion volume on DWl increased in a time dependent manner, from (87.19±67.16) mm3 at one hour up to (368.98±217.05) mm3 at 24 hours (P=0.009), while that on PWl gradually decreased from (7315.00±2054.38) mm3at six hours to (4900.33±1319.71) mm3 at 24 hours and (3334.33±1195.11) mm3 at one week (P=0.002). The mismatch ratio was 41.93±22.75 at six hours after ischemia, showing "extensive mismatch", and decreased to 18.10±13.74 at 24 hours (P=0.002). No MCA recanalization was observed within 24 hours after MCA occlusion. Conclusions Lacunar infarction induced by proximal MCA occlusion could be detected early by DWl and was characterized by extensive PWI-DWl mismatch. Multimodal MRI is useful to demonstrate the natural evolution of PWI-DWl mismatch. This ischemic model could be further used for investigating early thrombolysis in lacunar stroke showing extensive mismatch.
关 键 词:animal model middle cerebral artery occlusion lacunar infarction magnetic resonance imaging
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