期刊
FRONTIERS IN NEUROLOGY
卷 6, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2015.00070
关键词
CT perfusion; collaterals; stroke; time; onset
资金
- National Institute of Health Research (UK) Biomedical Research Centre
Purpose: CT-based perfusion and collateral imaging is increasingly used in the assessment of patients with acute stroke. Time of stroke onset is a critical factor in determining eligibility for and benefit from thrombolysis. Animal studies predict that the volume of ischemic penumbra decreases with time. Here, we evaluate if CT is able to detect a relationship between perfusion or collateral status, as assessed by CT, and time since stroke onset. Materials and methods: We studied 53 consecutive patients with proximal vessel occlusions, mean (SD) age of 71.3 (14.9) years, at a mean (SD) of 125.2 (55.3) minutes from onset, using whole-brain CT perfusion (CTp) imaging. Penumbra was defined using voxel-based thresholds for cerebral blood flow (CBF) and mean transit time (MTT); core was defined by cerebral blood volume (CBV). Normalized penumbra fraction was calculated as Penumbra volume/(Penumbra volume + Core volume) for both CBF and MTT (Pen(CBF) and Pen(MTT), respectively). Collaterals were assessed on CT angiography (CTA). CTp ASPECTS score was applied visually, lower scores indicating larger lesions. ASPECTS ratios were calculated corresponding to penumbra fractions. Results: Both Pen(CBF) and Pen(MTT) showed decremental trends with increasing time since onset (Kendall's tau-b = -0.196, p =0.055, and -0.187, p = 0.068, respectively). The CBF/CBV ASPECTS ratio, which showed a relationship to Pen(CBF) (Kendall's tau-b = 0.190, p = 0.070), decreased with increasing time since onset (Kendall's tau-b = -0.265, p = 0.006). Collateral response did not relate to time (Kendall's tau-b= -0.039, p = 0.724). Conclusion: Even within 4.5 h since stroke onset, a decremental relationship between penumbra and time, but not between collateral status and time, may be detected using perfusion CT imaging. The trends that we demonstrate merit evaluation in larger datasets to confirm our results, which may have potential wider applications, e.g., in the setting of strokes of unknown onset time.
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