Signal evolution and infarction risk for apparent diffusion coefficient lesions in acute ischemic stroke are both time- and perfusion-dependent.
Signal evolution and infarction risk for apparent diffusion coefficient lesions in acute ischemic stroke are both time- and perfusion-dependent.
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DOI:
10.1161/strokeaha.110.610501
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发表时间:
2011-05
期刊:
影响因子:
8.3
通讯作者:
Lin W
中科院分区:
文献类型:
--
作者:
An H;Ford AL;Vo K;Powers WJ;Lee JM;Lin W
This study aimed to examine the temporal relationship between tissue perfusion and apparent diffusion coefficient (ADC) changes within 6 hours of ischemic stroke onset and how different reperfusion patterns may affect tissue outcome in ADC lesion. Thirty-one participants were sequentially imaged at 3 hours, 6 hours and 1 month post stroke. Three regions of interest (ROIs) were defined within initial ADC lesions: ROI(1)reperf3hr hyper-acute reperfusion (within 3 hours), ROI(2)reperf6hr acute reperfusion (3-6 hours), and ROI(3)nonreperf no reperfusion (by 6 hours). For each ROI, changes of ADC (ΔADC) from 3 to 6 hours and risks of infarction were examined. The magnitude of initial ADC reduction was similar in all three ROIs (P=0.51). ΔADC were strongly associated with reperfusion (P<0.0001) but not with initial ADC reduction (P=0.83). ΔADC in ROI(1)reperf3hr, ROI(2)reperf6hr were significantly larger than that of ROI(3)nonreperf (P<0.05). Positive ΔADC were obtained from 3 to 6 hours in ROI(1)reperf3hr that had restored perfusion prior to 3 hours, demonstrating a temporal delay between reperfusion and ADC changes. Risk of infarction were significantly higher in ROI(3)nonreperf than those in ROI(1)reperf3hr and ROI(2)reperf6hr. Improvement of ADC did not occur coincidently with reperfusion but showed a temporal delay. Regions with similar initial ADC reductions at 3 hours had different evolution of ADC and infarction risks depending on when or if tissue reperfused. These findings provide a physiological basis for the observation that a single ADC measurement at a fixed time after stroke onset may not accurately predict tissue outcome.