Impact of Slow Blood Filling via Collaterals on Infarct Growth: Comparison of Mismatch and Collateral Status
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Background and Purpose Perfusion-diffusion mismatch has been evaluated to determine whether the presence of a target mismatch helps to identify patients who respond favorably to recanalization therapies. We compared the impact on infarct growth of collateral status and the presence of a penumbra, using magnetic resonance perfusion (MRP) techniques. Methods Consecutive patients who were candidates for recanalization therapy and underwent serial diffusion-weighted imaging (DWI) and MRP were enrolled. A collateral flow map derived from MRP source data was generated by automatic post-processing. The impact of a target mismatch (Tmax>6 s/apparent diffusion coefficient (ADC) volume≥1.8, ADC volume<70 mL; and Tmax>10 s for ADC volume<100 mL) on infarct growth was compared with MR-based collateral grading on day 7 DWI, using multivariate linear regression analysis. Results Among 73 patients, 55 (75%) showed a target mismatch, whereas collaterals were poor in 14 (19.2%), intermediate in 36 (49.3%), and good in 23 (31.5%) patients. After adjusting for initial severity of stroke, early recanalization (P<0.001) and the MR-based collateral grading (P=0.001), but not the presence of a target mismatch, were independently associated with infarct growth. Even in patients with a target mismatch and successful recanalization, the degree of infarct growth depended on the collateral status. Perfusion status at later Tmax time points (beyond the arterial phase) was more closely correlated with collateral status. Conclusions Patients with good collaterals show a favorable outcome in terms of infarct growth, regardless of the presence of a target mismatch pattern. The presence of slow blood filling predicts collateral status and infarct growth.
Abstract
Background and Purpose Perfusion-diffusion mismatch has been evaluated to determine whether the presence of a target mismatch helps to identify patients who respond favorably to recanalization therapies. We compared the impact on infarct growth of collateral status and the presence of a penumbra, using magnetic resonance perfusion (MRP) techniques. Methods Consecutive patients who were candidates for recanalization therapy and underwent serial diffusion-weighted imaging (DWI) and MRP were enrolled. A collateral flow map derived from MRP source data was generated by automatic post-processing. The impact of a target mismatch (Tmax>6 s/apparent diffusion coefficient (ADC) volume≥1.8, ADC volume<70 mL; and Tmax>10 s for ADC volume<100 mL) on infarct growth was compared with MR-based collateral grading on day 7 DWI, using multivariate linear regression analysis. Results Among 73 patients, 55 (75%) showed a target mismatch, whereas collaterals were poor in 14 (19.2%), intermediate in 36 (49.3%), and good in 23 (31.5%) patients. After adjusting for initial severity of stroke, early recanalization (P<0.001) and the MR-based collateral grading (P=0.001), but not the presence of a target mismatch, were independently associated with infarct growth. Even in patients with a target mismatch and successful recanalization, the degree of infarct growth depended on the collateral status. Perfusion status at later Tmax time points (beyond the arterial phase) was more closely correlated with collateral status. Conclusions Patients with good collaterals show a favorable outcome in terms of infarct growth, regardless of the presence of a target mismatch pattern. The presence of slow blood filling predicts collateral status and infarct growth.
참고문헌 (26)
- Kidwell CS, "A trial of imaging selection and endovascular treatment for ischemic stroke", N Engl J Med, 368, pp.914~923 (2013)
- Hacke W, "Intravenous desmoteplase in patients with acute ischaemic stroke selected by MRI perfusion-diffusion weighted imaging or perfusion CT (DIAS-2): a prospective, randomised, double-blind, placebo-controlled study", Lancet Neurol, 8, pp.141~150 (2009)
- Campbell BC, "Endovascular therapy for ischemic stroke with perfusion-imaging selection", N Engl J Med, 372, pp.1009~1018 (2015)
- Albers GW, "Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study", Ann Neurol, 60, pp.508~517 (2006)
- Kakuda W, "Optimal definition for PWI", DWI mismatch in acute ischemic stroke patients, 2008, pp.28, 887~891
- Kidwell CS, "Beyond mismatch: evolving paradigms in imaging the ischemic penumbra with multimodal magnetic resonance imaging", Stroke, 34, pp.2729~2735 (2003)
- Lansberg MG, "MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study", Lancet Neurol, 11, pp.860~867 (2012)
- Nagakane Y, "Moving beyond a single perfusion threshold to define penumbra: a novel probabilistic mismatch definition", Stroke, 43, pp.1548~1555 (2012)
- Toth G, "Use of MRI to estimate the therapeutic window in acute stroke: is perfusion-weighted imaging", diffusion-weighted imaging mismatch an EPITHET for salvageable ischemic brain tissue?, 2009, pp.40, 333~335
- Bang OY, "Impact of collateral flow on tissue fate in acute ischaemic stroke", J Neurol Neurosurg Psychiatry, 79, pp.625~629 (2008)
- Bang OY, "Collateral flow predicts response to endovascular therapy for acute ischemic stroke", Stroke, 42, pp.693~699 (2011)
- Bang OY, "Collateral flow averts hemorrhagic transformation after endovascular therapy for acute ischemic stroke", Stroke, 42, pp.2235~2239 (2011)
- Kucinski T, "Collateral circulation is an independent radiological predictor of outcome after thrombolysis in acute ischaemic stroke", Neuroradiology, 45, pp.11~18 (2003)
- Ribo M, "Extending the time window for endovascular procedures according to collateral pial circulation", Stroke, 42, pp.3465~3469 (2011)
- Galimanis A, "Endovascular therapy of 623 patients with anterior circulation stroke", Stroke, 43, pp.1052~1057 (2012)
- Kim SJ, "A novel magnetic resonance imaging approach to collateral flow imaging in ischemic stroke", Ann Neurol, 76, pp.356~369 (2014)
- Adams HP Jr, "Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment", Stroke, 24, pp.35~41 (1993)
- Ostergaard L, "High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis", Magn Reson Med, 36, pp.715~725 (1996)
- Kim JH, "Impact of baseline tissue status (diffusion-weighted imaging lesion) versus perfusion status (severity of hypoperfusion)on hemorrhagic transformation", Stroke, 41, pp.e135~e142 (2010)
- Higashida RT, "Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke", Stroke, 34, pp.e109~e137 (2003)
- Liebeskind DS, "Collateral circulation", Stroke, 34, pp.2279~2284 (2003)
- Campbell BC, "Failure of collateral blood flow is associated with infarct growth in ischemic stroke", J Cereb Blood Flow Metab, 33, pp.1168~1172 (2013)
- Bang O, "Determinants of the distribution and severity of hypoperfusion in patients with ischemic stroke", Neurology, 71, pp.1804~1811 (2008)
- Lee MJ, "Predicting collateral status with MR perfusion parameters: probabilistic approach with a Tmax-derived prediction model", Stroke, 46, pp.2800~2807 (2015)
- Campbell BC, "Regional very low cerebral blood volume predicts hemorrhagic transformation better than diffusion-weighted imaging volume and thresholded apparent diffusion coefficient in acute ischemic stroke", Stroke, 41, pp.82~88 (2010)
- Bang OY, "Collateral circulation in ischemic stroke: assessment tools and therapeutic strategies", Stroke, 46, pp.3302~3309 (2015)
