G. Donnan, J. Baron, H. Ma, and S. Davis, Penumbral selection of patients for trials of acute stroke therapy, The Lancet Neurology, vol.8, issue.3, pp.261-269, 2009.
DOI : 10.1016/S1474-4422(09)70041-9

J. Baron, Mapping the Ischaemic Penumbra with PET: Implications for Acute Stroke Treatment, Cerebrovascular Diseases, vol.9, issue.4, pp.193-201, 1999.
DOI : 10.1159/000015955

J. Astrup, B. Siesjo, and L. Symon, Thresholds in cerebral ischemia - the ischemic penumbra, Stroke, vol.12, issue.6, pp.723-725, 1981.
DOI : 10.1161/01.STR.12.6.723

W. Heiss, The ischemic penumbra, Current Opinion in Neurology, vol.7, issue.1, pp.307-320, 2011.
DOI : 10.1097/00019052-199402000-00004

J. Baron, M. Bousser, D. Comar, F. Soussaline, and P. Castaigne, Noninvasive Tomographic Study of Cerebral Blood Flow and Oxygen Metabolism in vivo, European Neurology, vol.20, issue.3, pp.273-284, 1981.
DOI : 10.1159/000115247

W. Heiss, M. Huber, G. Fink, K. Herholz, U. Pietrzyk et al., Progressive Derangement of Periinfarct Viable Tissue in Ischemic Stroke, Journal of Cerebral Blood Flow & Metabolism, vol.14, issue.2, pp.193-203, 1992.
DOI : 10.1212/WNL.37.7.1103

R. Markus, D. Reutens, S. Kazui, S. Read, P. Wright et al., Hypoxic tissue in ischaemic stroke: persistence and clinical consequences of spontaneous survival, Brain, vol.127, issue.6, pp.1427-1436, 2004.
DOI : 10.1093/brain/awh162

U. Dirnagl, C. Iadecola, and M. Moskowitz, Pathobiology of ischaemic stroke: an integrated view, Trends in Neurosciences, vol.22, issue.9, pp.391-397, 1999.
DOI : 10.1016/S0166-2236(99)01401-0

G. Donnan, M. Fisher, M. Macleod, and S. Davis, Stroke, The Lancet, vol.371, issue.9624, pp.1612-1623, 2008.
DOI : 10.1016/S0140-6736(08)60694-7
URL : https://hal.archives-ouvertes.fr/hal-00626465

S. Arakawa, P. Wright, M. Koga, T. Phan, D. Reutens et al., Ischemic Thresholds for Gray and White Matter: A Diffusion and Perfusion Magnetic Resonance Study, Stroke, vol.37, issue.5, pp.1211-1216, 2006.
DOI : 10.1161/01.STR.0000217258.63925.6b

A. Falcao, D. Reutens, R. Markus, M. Koga, S. Read et al., The resistance to ischemia of white and gray matter after stroke, Annals of Neurology, vol.9, issue.5, pp.695-701, 2004.
DOI : 10.1002/ana.20265

M. Koga, D. Reutens, P. Wright, T. Phan, R. Markus et al., The Existence and Evolution of Diffusion-Perfusion Mismatched Tissue in White and Gray Matter After Acute Stroke, Stroke, vol.36, issue.10, pp.2132-2137, 2005.
DOI : 10.1161/01.STR.0000181066.23213.8f

F. Marcoux, R. Morawetz, R. Crowell, U. Degirolami, J. Halsey et al., Differential Regional Vulnerability in Transient Focal Cerebral Ischemia, Stroke, vol.13, issue.3, pp.339-346, 1982.
DOI : 10.1161/01.STR.13.3.339

J. Chalela, C. Kidwell, L. Nentwich, M. Luby, J. Butman et al., Magnetic resonance imaging and computed tomography in emergency assessment of patients with suspected acute stroke: a prospective comparison, The Lancet, vol.369, issue.9558, pp.293-298, 2007.
DOI : 10.1016/S0140-6736(07)60151-2

M. Girot, X. Leclerc, J. Gauvrit, A. Verdelho, J. Pruvo et al., Cerebral Magnetic Resonance Imaging within 6 Hours of Stroke Onset: Inter- and Intra-Observer Reproducibility, Cerebrovascular Diseases, vol.16, issue.2, pp.122-127, 2003.
DOI : 10.1159/000070591

P. Sylaja, S. Coutts, A. Krol, M. Hill, and A. Demchuk, When to Expect Negative Diffusion-Weighted Images in Stroke and Transient Ischemic Attack, Stroke, vol.39, issue.6, pp.1898-1900, 2008.
DOI : 10.1161/STROKEAHA.107.497453

C. Oppenheim, C. Grandin, Y. Samson, A. Smith, T. Duprez et al., Is There an Apparent Diffusion Coefficient Threshold in Predicting Tissue Viability in Hyperacute Stroke?, Stroke, vol.32, issue.11, pp.2486-2491, 2001.
DOI : 10.1161/hs1101.098331

G. Donnan and S. Davis, Breaking the 3 h barrier for treatment of acute ischaemic stroke, The Lancet Neurology, vol.7, issue.11, pp.981-982, 2008.
DOI : 10.1016/S1474-4422(08)70230-8

G. Albers, V. Thijs, L. Wechsler, S. Kemp, G. Schlaug et al., Magnetic resonance imaging profiles predict clinical response to early reperfusion: The diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study, Annals of Neurology, vol.292, issue.5, pp.508-517, 2006.
DOI : 10.1002/ana.20976

S. Davis, G. Donnan, M. Parsons, C. Levi, K. Butcher et al., Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebo-controlled randomised trial, The Lancet Neurology, vol.7, issue.4, pp.299-309, 2008.
DOI : 10.1016/S1474-4422(08)70044-9

A. Yoo, L. Verduzco, P. Schaefer, J. Hirsch, J. Rabinov et al., MRI-Based Selection for Intra-Arterial Stroke Therapy: Value of Pretreatment Diffusion-Weighted Imaging Lesion Volume in Selecting Patients With Acute Stroke Who Will Benefit From Early Recanalization, Stroke, vol.40, issue.6, pp.2046-2054, 2009.
DOI : 10.1161/STROKEAHA.108.541656

H. An, A. Ford, K. Vo, W. Powers, J. Lee et al., Signal Evolution and Infarction Risk for Apparent Diffusion Coefficient Lesions in Acute Ischemic Stroke Are Both Time- and Perfusion-Dependent, Stroke, vol.42, issue.5, pp.1276-1281, 2011.
DOI : 10.1161/STROKEAHA.110.610501

E. Carrera, P. Jones, J. Alawneh, K. Mikkelsen, I. Cho et al., Predicting Infarction Within the Diffusion-Weighted Imaging Lesion: Does the Mean Transit Time Have Added Value?, Stroke, vol.42, issue.6, pp.1602-1607, 2011.
DOI : 10.1161/STROKEAHA.110.606970

J. Fiehler, M. Foth, T. Kucinski, R. Knab, M. Von-bezold et al., Severe ADC Decreases Do Not Predict Irreversible Tissue Damage In Humans, Stroke, vol.33, issue.1, pp.79-86, 2002.
DOI : 10.1161/hs0102.100884

J. Fiehler, K. Knudsen, T. Kucinski, C. Kidwell, J. Alger et al., Predictors of apparent diffusion coefficient normalization in stroke patients. Stroke; a journal of cerebral circulation, pp.514-519, 2004.

C. Kidwell, J. Saver, J. Mattiello, S. Starkman, F. Vinuela et al., Thrombolytic reversal of acute human cerebral ischemic injury shown by diffusion/perfusion magnetic resonance imaging, Annals of Neurology, vol.51, issue.4, pp.462-469, 2000.
DOI : 10.1002/1531-8249(200004)47:4<462::AID-ANA9>3.0.CO;2-Y

C. Kidwell, J. Saver, S. Starkman, G. Duckwiler, R. Jahan et al., Late secondary ischemic injury in patients receiving intraarterial thrombolysis Relationships between cerebral perfusion and reversibility of acute diffusion lesions in DEFUSE: insights from RADAR, Ann Neurol. Stroke, vol.5240, issue.28, pp.698-7031692, 2002.

K. Kohno, M. Hoehn-berlage, G. Mies, T. Back, and K. Hossmann, Relationship between diffusion-weighted MR images, cerebral blood flow, and energy state in experimental brain infarction, Magnetic Resonance Imaging, vol.13, issue.1, pp.73-80, 1995.
DOI : 10.1016/0730-725X(94)00080-M

C. Pierpaoli, J. Alger, A. Righini, J. Mattiello, R. Dickerson et al., High Temporal Resolution Diffusion MRI of Global Cerebral Ischemia and Reperfusion, Journal of Cerebral Blood Flow & Metabolism, vol.31, pp.892-905, 1996.
DOI : 10.1097/00004647-199609000-00013

J. Guadagno, E. Warburton, F. Aigbirhio, P. Smielewski, T. Fryer et al., Does the Acute Diffusion-Weighted Imaging Lesion Represent Penumbra as Well as Core? A Combined Quantitative PET/MRI Voxel-Based Study, Journal of Cerebral Blood Flow & Metabolism, vol.74, pp.1249-1254, 2004.
DOI : 10.1097/01.WCB.0000141557.32867.6B

J. Guadagno, E. Warburton, P. Jones, D. Day, F. Aigbirhio et al., How affected is oxygen metabolism in DWI lesions?: A combined acute stroke PET-MR study, Neurology, vol.67, issue.5, pp.824-829, 2006.
DOI : 10.1212/01.wnl.0000233984.66907.db

P. Kranz and J. Eastwood, Does Diffusion-Weighted Imaging Represent the Ischemic Core? An Evidence-Based Systematic Review, American Journal of Neuroradiology, vol.30, issue.6, pp.1206-1212, 2009.
DOI : 10.3174/ajnr.A1547

B. Campbell, A. Purushotham, S. Christensen, P. Desmond, Y. Nagakane et al., The Infarct Core is Well Represented by the Acute Diffusion Lesion: Sustained Reversal is Infrequent, Journal of Cerebral Blood Flow & Metabolism, vol.51, issue.1, pp.50-56, 2012.
DOI : 10.1016/S1474-4422(07)70055-8

T. Chemmanam, B. Campbell, S. Christensen, Y. Nagakane, P. Desmond et al., Ischemic diffusion lesion reversal is uncommon and rarely alters perfusion-diffusion mismatch, Neurology, vol.75, issue.12, pp.1040-1047, 2010.
DOI : 10.1212/WNL.0b013e3181f39ab6

M. Labeyrie, G. Turc, A. Hess, P. Hervo, J. Mas et al., Diffusion Lesion Reversal After Thrombolysis: A MR Correlate of Early Neurological Improvement, Stroke, vol.43, issue.11, pp.2986-2991, 2012.
DOI : 10.1161/STROKEAHA.112.661009

J. Saver, P. Loh, K. Butcher, M. Parsons, L. Macgregor et al., Optimal end points for acute stroke therapy trials: best ways to measure treatment effects of drugs and devices. Stroke; a journal of cerebral circulation Apparent diffusion coefficient thresholds do not predict the response to acute stroke thrombolysis. Stroke; a journal of cerebral circulation, pp.2356-23622626, 2005.

T. Cho, N. Nighoghossian, I. Mikkelsen, L. Derex, M. Hermier et al., Reperfusion Within 6 Hours Outperforms Recanalization in Predicting Penumbra Salvage, Lesion Growth, Final Infarct, and Clinical Outcome, Stroke, vol.46, issue.6, pp.1582-1589, 2015.
DOI : 10.1161/STROKEAHA.114.007964

A. Baird, J. Dambrosia, S. Janket, Q. Eichbaum, C. Chaves et al., A three-item scale for the early prediction of stroke recovery, The Lancet, vol.357, issue.9274, pp.2095-2099, 2001.
DOI : 10.1016/S0140-6736(00)05183-7

C. Oppenheim, Y. Samson, R. Manai, T. Lalam, X. Vandamme et al., Prediction of Malignant Middle Cerebral Artery Infarction by Diffusion-Weighted Imaging, Stroke, vol.31, issue.9, pp.2175-2181, 2000.
DOI : 10.1161/01.STR.31.9.2175

M. Parsons, S. Christensen, P. Mcelduff, C. Levi, K. Butcher et al., Pretreatment Diffusion- and Perfusion-MR Lesion Volumes Have a Crucial Influence on Clinical Response to Stroke Thrombolysis, Journal of Cerebral Blood Flow & Metabolism, vol.40, issue.8, pp.1214-1225, 2010.
DOI : 10.1056/NEJM199512143332401

J. Olivot, P. Mosimann, J. Labreuche, M. Inoue, E. Meseguer et al., Impact of Diffusion-Weighted Imaging Lesion Volume on the Success of Endovascular Reperfusion Therapy, Stroke, vol.44, issue.8, pp.2205-2211, 2013.
DOI : 10.1161/STROKEAHA.113.000911

F. Calamante, S. Christensen, P. Desmond, L. Ostergaard, S. Davis et al., The Physiological Significance of the Time-to-Maximum (Tmax) Parameter in Perfusion MRI, Stroke, vol.41, issue.6, pp.1169-1174, 2010.
DOI : 10.1161/STROKEAHA.110.580670

L. Willats and F. Calamante, The 39 steps: evading error and deciphering the secrets for accurate dynamic susceptibility contrast MRI, NMR in Biomedicine, vol.21, issue.8, pp.913-931, 2013.
DOI : 10.1002/nbm.2833

C. Grandin, T. Duprez, A. Smith, C. Oppenheim, A. Peeters et al., Which MR-derived Perfusion Parameters are the Best Predictors of Infarct Growth in Hyperacute Stroke? Comparative Study between Relative and Quantitative Measurements, Radiology, vol.223, issue.2, pp.361-370, 2002.
DOI : 10.1148/radiol.2232010673

W. Kakuda, M. Lansberg, V. Thijs, S. Kemp, R. Bammer et al., Optimal Definition for PWI/DWI Mismatch in Acute Ischemic Stroke Patients, Journal of Cerebral Blood Flow & Metabolism, vol.35, issue.5, pp.887-891, 2008.
DOI : 10.1038/sj.jcbfm.9600604

I. Kane, P. Sandercock, and J. Wardlaw, Magnetic resonance perfusion diffusion mismatch and thrombolysis in acute ischaemic stroke: a systematic review of the evidence to date, Journal of Neurology, Neurosurgery & Psychiatry, vol.78, issue.5, pp.485-491, 2007.
DOI : 10.1136/jnnp.2006.100347

T. Neumann-haefelin, H. Wittsack, F. Wenserski, M. Siebler, R. Seitz et al., Diffusion- and Perfusion-Weighted MRI : The DWI/PWI Mismatch Region in Acute Stroke, Stroke, vol.30, issue.8, pp.1591-1597, 1999.
DOI : 10.1161/01.STR.30.8.1591

L. Shih, J. Saver, J. Alger, S. Starkman, M. Leary et al., Perfusion-Weighted Magnetic Resonance Imaging Thresholds Identifying Core, Irreversibly Infarcted Tissue, Stroke, vol.34, issue.6, pp.1425-1430, 2003.
DOI : 10.1161/01.STR.0000072998.70087.E9

J. Olivot, M. Mlynash, V. Thijs, S. Kemp, M. Lansberg et al., Optimal Tmax threshold for predicting penumbral tissue in acute stroke Refining the perfusion-diffusion mismatch hypothesis, Stroke. Stroke, vol.4036, pp.469-4751153, 2005.

L. Churilov, D. Liu, H. Ma, S. Christensen, Y. Nagakane et al., Multiattribute Selection of Acute Stroke Imaging Software Platform for Extending the Time for Thrombolysis in Emergency Neurological Deficits (EXTEND) Clinical Trial, International Journal of Stroke, vol.32, issue.3, pp.204-210, 2013.
DOI : 10.1016/S1474-4422(08)70044-9

L. Lin, A. Bivard, C. Levi, and M. Parsons, Comparison of Computed Tomographic and Magnetic Resonance Perfusion Measurements in Acute Ischemic Stroke: Back-to-Back Quantitative Analysis, Stroke, vol.45, issue.6, pp.1727-1732, 2014.
DOI : 10.1161/STROKEAHA.114.005419

H. Wheeler, M. Mlynash, M. Inoue, A. Tipirneni, J. Liggins et al., Early Diffusion-Weighted Imaging and Perfusion-Weighted Imaging Lesion Volumes Forecast Final Infarct Size in DEFUSE 2, Stroke, vol.44, issue.3, pp.681-685, 2013.
DOI : 10.1161/STROKEAHA.111.000135

O. Zaro-weber, W. Moeller-hartmann, W. Heiss, and J. Sobesky, Maps of Time to Maximum and Time to Peak for Mismatch Definition in Clinical Stroke Studies Validated With Positron Emission Tomography, Stroke, vol.41, issue.12, pp.2817-2821, 2010.
DOI : 10.1161/STROKEAHA.110.594432

F. Chen and Y. Ni, Magnetic resonance diffusion-perfusion mismatch in acute ischemic stroke: An update, World Journal of Radiology, vol.4, issue.3, pp.63-74, 2012.
DOI : 10.4329/wjr.v4.i3.63

H. Ma, J. Zavala, H. Teoh, L. Churilov, M. Gunawan et al., Fragmentation of the Classical Magnetic Resonance Mismatch "Penumbral" Pattern With Time, Stroke, vol.40, issue.12, pp.3752-3757, 2009.
DOI : 10.1161/STROKEAHA.109.555011

J. Alawneh, P. Jones, I. Mikkelsen, T. Cho, S. Siemonsen et al., Infarction of 'non-core-non-penumbral' tissue after stroke: multivariate modelling of clinical impact, Brain, vol.134, issue.6, pp.1765-1776, 2011.
DOI : 10.1093/brain/awr100

M. Lansberg, M. Straka, S. Kemp, M. Mlynash, L. Wechsler et al., MRI profile and response to endovascular reperfusion after stroke (DEFUSE 2): a prospective cohort study, The Lancet Neurology, vol.11, issue.10, pp.860-867, 2012.
DOI : 10.1016/S1474-4422(12)70203-X

M. Straka, G. Albers, and R. Bammer, Real-time diffusion-perfusion mismatch analysis in acute stroke, Journal of Magnetic Resonance Imaging, vol.27, issue.5, pp.1024-1037, 2010.
DOI : 10.1002/jmri.22338

M. Mlynash, M. Lansberg, D. Silva, D. Lee, J. Christensen et al., Refining the Definition of the Malignant Profile: Insights From the DEFUSE-EPITHET Pooled Data Set, Stroke, vol.42, issue.5, pp.1270-1275, 2011.
DOI : 10.1161/STROKEAHA.110.601609

M. Lansberg, J. Lee, S. Christensen, M. Straka, D. Silva et al., RAPID Automated Patient Selection for Reperfusion Therapy: A Pooled Analysis of the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET) and the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution (DEFUSE) Study, Stroke, vol.42, issue.6, pp.1608-1614, 2011.
DOI : 10.1161/STROKEAHA.110.609008

M. Takasawa, P. Jones, J. Guadagno, S. Christensen, T. Fryer et al., How Reliable Is Perfusion MR in Acute Stroke?: Validation and Determination of the Penumbra Threshold Against Quantitative PET, Stroke, vol.39, issue.3, pp.870-877, 2008.
DOI : 10.1161/STROKEAHA.107.500090

W. Hacke, G. Albers, Y. Al-rawi, J. Bogousslavsky, A. Davalos et al., The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): A Phase II MRI-Based 9-Hour Window Acute Stroke Thrombolysis Trial With Intravenous Desmoteplase, Stroke, vol.36, issue.1, pp.66-73, 2005.
DOI : 10.1161/01.STR.0000149938.08731.2c

A. Furlan, D. Eyding, G. Albers, Y. Al-rawi, K. Lees et al., Dose Escalation of Desmoteplase for Acute Ischemic Stroke (DEDAS): Evidence of Safety and Efficacy 3 to 9 Hours After Stroke Onset, Stroke, vol.37, issue.5, pp.1227-1231, 2006.
DOI : 10.1161/01.STR.0000217403.66996.6d

W. Hacke, A. Furlan, Y. Al-rawi, A. Davalos, J. Fiebach et al., 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, The Lancet Neurology, vol.8, issue.2, pp.141-150, 2009.
DOI : 10.1016/S1474-4422(08)70267-9

J. Saver and H. Altman, Relationship Between Neurologic Deficit Severity and Final Functional Outcome Shifts and Strengthens During First Hours After Onset, Stroke, vol.43, issue.6, pp.1537-1541, 2012.
DOI : 10.1161/STROKEAHA.111.636928

J. Siegler and S. Martin-schild, Early Neurological Deterioration (END) after Stroke: The END Depends on the Definition, International Journal of Stroke, vol.84, issue.3, pp.211-212, 2011.
DOI : 10.1161/01.STR.28.1.1

P. Seners, G. Turc, M. Tisserand, L. Legrand, M. Labeyrie et al., Unexplained Early Neurological Deterioration After Intravenous Thrombolysis: Incidence, Predictors, and Associated Factors, Stroke, vol.45, issue.7, pp.2004-2009, 2014.
DOI : 10.1161/STROKEAHA.114.005426

K. Muir, A. Buchan, R. Kummer, J. Rother, and J. Baron, Imaging of acute stroke, The Lancet Neurology, vol.5, issue.9, pp.755-768, 2006.
DOI : 10.1016/S1474-4422(06)70545-2

O. Zaidat, A. Yoo, P. Khatri, T. Tomsick, V. Kummer et al., Recommendations on Angiographic Revascularization Grading Standards for Acute Ischemic Stroke: A Consensus Statement, Stroke, vol.44, issue.9, pp.2650-2663, 2013.
DOI : 10.1161/STROKEAHA.113.001972

W. Hacke, M. Kaste, C. Fieschi, D. Toni, E. Lesaffre et al., Intravenous thrombolysis with recombinant tissue plasminogen activator for acute hemispheric stroke. The European Cooperative Acute Stroke Study (ECASS), JAMA: The Journal of the American Medical Association, vol.274, issue.13, pp.1017-1025, 1995.
DOI : 10.1001/jama.274.13.1017

J. Rha and J. Saver, The Impact of Recanalization on Ischemic Stroke Outcome: A Meta-Analysis, Stroke, vol.38, issue.3, pp.967-973, 2007.
DOI : 10.1161/01.STR.0000258112.14918.24

O. Berkhemer, P. Fransen, D. Beumer, L. Van-den-berg, H. Lingsma et al., A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke, New England Journal of Medicine, vol.372, issue.1, pp.11-20, 2015.
DOI : 10.1056/NEJMoa1411587

B. Campbell, P. Mitchell, T. Kleinig, H. Dewey, L. Churilov et al., Endovascular Therapy for Ischemic Stroke with Perfusion-Imaging Selection, New England Journal of Medicine, vol.372, issue.11, pp.1009-1018, 2015.
DOI : 10.1056/NEJMoa1414792

M. Goyal, A. Demchuk, B. Menon, M. Eesa, J. Rempel et al., Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke, New England Journal of Medicine, vol.372, issue.11, pp.1019-1030, 2015.
DOI : 10.1056/NEJMoa1414905

W. Hacke, M. Kaste, E. Bluhmki, M. Brozman, A. Davalos et al., Thrombolysis with Alteplase 3 to 4.5 Hours after Acute Ischemic Stroke, New England Journal of Medicine, vol.359, issue.13, pp.1317-1329, 2008.
DOI : 10.1056/NEJMoa0804656

J. Saver, M. Goyal, A. Bonafe, H. Diener, E. Levy et al., Stent-Retriever Thrombectomy after Intravenous t-PA vs. t-PA Alone in Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2285-2295, 2015.
DOI : 10.1056/NEJMoa1415061
URL : http://dx.doi.org/10.7892/boris.69540

M. Ribo, A. Tomasello, M. Lemus, M. Rubiera, C. Vert et al., Maximal Admission Core Lesion Compatible With Favorable Outcome in Acute Stroke Patients Undergoing Endovascular Procedures, Stroke, vol.46, issue.10, 2015.
DOI : 10.1161/STROKEAHA.115.010707

S. Soize, M. Tisserand, S. Charron, G. Turc, B. Hassen et al., How Sustained Is 24-Hour Diffusion-Weighted Imaging Lesion Reversal?, Stroke, vol.46, issue.3, pp.704-710, 2015.
DOI : 10.1161/STROKEAHA.114.008322

M. Tisserand, C. Malherbe, G. Turc, L. Legrand, M. Edjlali et al., Is White Matter More Prone to Diffusion Lesion Reversal After Thrombolysis?, Stroke, vol.45, issue.4, pp.1167-1169, 2014.
DOI : 10.1161/STROKEAHA.113.004000

D. Sanak, V. Nosal, D. Horak, A. Bartkova, K. Zelenak et al., Impact of diffusion-weighted MRI-measured initial cerebral infarction volume on clinical outcome in acute stroke patients with middle cerebral artery occlusion treated by thrombolysis, Neuroradiology, vol.35, issue.9, pp.632-639, 2006.
DOI : 10.1007/s00234-006-0105-0

A. Demchuk, M. Hill, P. Barber, B. Silver, S. Patel et al., Importance of Early Ischemic Computed Tomography Changes Using ASPECTS in NINDS rtPA Stroke Study, Stroke, vol.36, issue.10, pp.2110-2115, 2005.
DOI : 10.1161/01.STR.0000181116.15426.58

J. Chalela, D. Kang, M. Luby, M. Ezzeddine, L. Latour et al., Early magnetic resonance imaging findings in patients receiving tissue plasminogen activator predict outcome: Insights into the pathophysiology of acute stroke in the thrombolysis era, Annals of Neurology, vol.30, issue.1, pp.105-112, 2004.
DOI : 10.1002/ana.10781

P. Hand, J. Wardlaw, C. Rivers, P. Armitage, M. Bastin et al., MR diffusionweighted imaging and outcome prediction after ischemic stroke Pretreatment diffusion-weighted imaging lesion volume predicts favorable outcome after intravenous thrombolysis with tissue-type plasminogen activator in acute ischemic stroke, Neurology. Stroke, vol.6642, issue.88, pp.1159-11631251, 2006.

J. Aoki, K. Kimura, K. Shibazaki, and Y. Sakamoto, DWI-ASPECTS as a Predictor of Dramatic Recovery After Intravenous Recombinant Tissue Plasminogen Activator Administration in Patients With Middle Cerebral Artery Occlusion, Stroke, vol.44, issue.2, pp.534-537, 2013.
DOI : 10.1161/STROKEAHA.112.675470

M. Inoue, J. Olivot, J. Labreuche, M. Mlynash, W. Tai et al., Impact of Diffusion-Weighted Imaging Alberta Stroke Program Early Computed Tomography Score on the Success of Endovascular Reperfusion Therapy, Stroke, vol.45, issue.7, pp.1992-1998, 2014.
DOI : 10.1161/STROKEAHA.114.005084

M. Gilgen, D. Klimek, K. Liesirova, J. Meisterernst, P. Klinger-gratz et al., Younger stroke patients with large pretreatment diffusion-weighted imaging lesions may benefit from endovascular treatment Can DWI- ASPECTS substitute for lesion volume in acute stroke? Stroke, Stroke, vol.4644, pp.2510-25163565, 2013.

P. Schellinger, J. Fiebach, O. Jansen, P. Ringleb, A. Mohr et al., Stroke magnetic resonance imaging within 6 hours after onset of hyperacute cerebral ischemia, Annals of Neurology, vol.30, issue.23, pp.460-469, 2001.
DOI : 10.1002/ana.95

C. Molina, Reperfusion Therapies for Acute Ischemic Stroke: Current Pharmacological and Mechanical Approaches, Stroke, vol.42, issue.1, Supplement 1, pp.16-19, 2011.
DOI : 10.1161/STROKEAHA.110.598763

M. Inoue, M. Mlynash, M. Straka, M. Lansberg, G. Zaharchuk et al., Patients With the Malignant Profile Within 3 Hours of Symptom Onset Have Very Poor Outcomes After Intravenous Tissue-Type Plasminogen Activator Therapy, Stroke, vol.43, issue.9, pp.2494-2496, 2012.
DOI : 10.1161/STROKEAHA.112.653329

M. Tisserand, P. Seners, G. Turc, L. Legrand, M. Labeyrie et al., Mechanisms of Unexplained Neurological Deterioration After Intravenous Thrombolysis, Stroke, vol.45, issue.12, pp.3527-3534, 2014.
DOI : 10.1161/STROKEAHA.114.006745

A. Meshksar, J. Villablanca, R. Khan, R. Carmody, B. Coull et al., Role of EPI-FLAIR in Patients with Acute Stroke: A Comparative Analysis with FLAIR, American Journal of Neuroradiology, vol.35, issue.5, pp.878-883, 2014.
DOI : 10.3174/ajnr.A3786

K. Nael, R. Khan, G. Choudhary, A. Meshksar, P. Villablanca et al., Six-Minute Magnetic Resonance Imaging Protocol for Evaluation of Acute Ischemic Stroke: Pushing the Boundaries, Stroke, vol.45, issue.7, pp.1985-1991, 2014.
DOI : 10.1161/STROKEAHA.114.005305

S. Jung, M. Gilgen, J. Slotboom, M. El-koussy, C. Zubler et al., Factors that determine penumbral tissue loss in acute ischaemic stroke, Brain, vol.136, issue.12, pp.3554-3560, 2013.
DOI : 10.1093/brain/awt246

A. Galimanis, S. Jung, M. Mono, U. Fischer, O. Findling et al., Endovascular Therapy of 623 Patients With Anterior Circulation Stroke, Stroke, vol.43, issue.4, pp.1052-1057, 2012.
DOI : 10.1161/STROKEAHA.111.639112

O. Bang, J. Saver, B. Buck, J. Alger, S. Starkman et al., Impact of collateral flow on tissue fate in acute ischaemic stroke, Journal of Neurology, Neurosurgery & Psychiatry, vol.79, issue.6, pp.625-629, 2008.
DOI : 10.1136/jnnp.2007.132100

S. Kim, Y. Ha, S. Ryoo, H. Noh, S. Ha et al., Sulcal Effacement on Fluid Attenuation Inversion Recovery Magnetic Resonance Imaging in Hyperacute Stroke: Association With Collateral Flow and Clinical Outcomes, Stroke, vol.43, issue.2, pp.386-392, 2012.
DOI : 10.1161/STROKEAHA.111.638106

A. Calleja, E. Cortijo, P. Garcia-bermejo, R. Gomez, S. Perez-fernandez et al., Collateral circulation on perfusion-computed tomography-source images predicts the response to stroke intravenous thrombolysis, European Journal of Neurology, vol.30, issue.Pt 8, pp.795-802, 2013.
DOI : 10.1111/ene.12063

O. Bang, J. Saver, S. Kim, G. Kim, C. Chung et al., Collateral Flow Averts Hemorrhagic Transformation After Endovascular Therapy for Acute Ischemic Stroke, Stroke, vol.42, issue.8, pp.2235-2239, 2011.
DOI : 10.1161/STROKEAHA.110.604603

O. Bang, J. Saver, S. Kim, G. Kim, C. Chung et al., Collateral Flow Predicts Response to Endovascular Therapy for Acute Ischemic Stroke, Stroke, vol.42, issue.3, pp.693-699, 2011.
DOI : 10.1161/STROKEAHA.110.595256

F. Miteff, C. Levi, G. Bateman, N. Spratt, P. Mcelduff et al., The independent predictive utility of computed tomography angiographic collateral status in acute ischaemic stroke, Brain, vol.132, issue.8, pp.2231-2238, 2009.
DOI : 10.1093/brain/awp155

R. Von-kummer and W. Hacke, Safety and efficacy of intravenous tissue plasminogen activator and heparin in acute middle cerebral artery stroke, Stroke, vol.23, issue.5, pp.646-652, 1992.
DOI : 10.1161/01.STR.23.5.646

O. Singer, J. Berkefeld, C. Nolte, G. Bohner, A. Reich et al., Collateral Vessels in Proximal Middle Cerebral Artery Occlusion: The ENDOSTROKE Study, Radiology, vol.274, issue.3, pp.851-858, 2015.
DOI : 10.1148/radiol.14140951

D. Liebeskind, T. Tomsick, L. Foster, S. Yeatts, J. Carrozzella et al., Collaterals at Angiography and Outcomes in the Interventional Management of Stroke (IMS) III Trial, Stroke, vol.45, issue.3, pp.759-764, 2014.
DOI : 10.1161/STROKEAHA.113.004072

B. Campbell, S. Christensen, B. Tress, L. Churilov, P. Desmond et al., Failure of Collateral Blood Flow is Associated with Infarct Growth in Ischemic Stroke, Journal of Cerebral Blood Flow & Metabolism, vol.26, issue.8, pp.1168-1172, 2013.
DOI : 10.1016/S1474-4422(08)70044-9

F. Nicoli, L. De-micheaux, P. Girard, and N. , Perfusion-Weighted Imaging-Derived Collateral Flow Index is a Predictor of MCA M1 Recanalization after IV Thrombolysis, American Journal of Neuroradiology, vol.34, issue.1, pp.107-114, 2013.
DOI : 10.3174/ajnr.A3174

J. Olivot, M. Mlynash, M. Inoue, M. Marks, H. Wheeler et al., Hypoperfusion Intensity Ratio Predicts Infarct Progression and Functional Outcome in the DEFUSE 2 Cohort, Stroke, vol.45, issue.4, pp.1018-1023, 2014.
DOI : 10.1161/STROKEAHA.113.003857

S. Kim, J. Son, S. Ryoo, M. Lee, J. Cha et al., A novel magnetic resonance imaging approach to collateral flow imaging in ischemic stroke, Annals of Neurology, vol.43, issue.3, pp.356-369, 2014.
DOI : 10.1002/ana.24211

O. Bang, J. Saver, J. Alger, S. Starkman, B. Ovbiagele et al., Determinants of the distribution and severity of hypoperfusion in patients with ischemic stroke, Neurology, vol.71, issue.22, pp.1804-1811, 2008.
DOI : 10.1212/01.wnl.0000335929.06390.d3

D. Williams, J. Detre, J. Leigh, and A. Koretsky, Magnetic resonance imaging of perfusion using spin inversion of arterial water., Proceedings of the National Academy of Sciences, vol.89, issue.1, pp.212-216, 1992.
DOI : 10.1073/pnas.89.1.212

J. Detre, J. Leigh, D. Williams, and A. Koretsky, Perfusion imaging, Magnetic Resonance in Medicine, vol.3, issue.1, pp.37-45, 1992.
DOI : 10.1002/mrm.1910230106

J. Chalela, D. Alsop, J. Gonzalez-atavales, J. Maldjian, S. Kasner et al., Magnetic Resonance Perfusion Imaging in Acute Ischemic Stroke Using Continuous Arterial Spin Labeling, Stroke, vol.31, issue.3, pp.680-687, 2000.
DOI : 10.1161/01.STR.31.3.680

R. Bokkers, D. Hernandez, J. Merino, R. Mirasol, M. Van-osch et al., Whole-Brain Arterial Spin Labeling Perfusion MRI in Patients With Acute Stroke, Stroke, vol.43, issue.5, pp.1290-1294, 2012.
DOI : 10.1161/STROKEAHA.110.589234

G. Zaharchuk, E. Mogy, I. Fischbein, N. Albers, and G. , Comparison of Arterial Spin Labeling and Bolus Perfusion-Weighted Imaging for Detecting Mismatch in Acute Stroke, Stroke, vol.43, issue.7, pp.1843-1848, 2012.
DOI : 10.1161/STROKEAHA.111.639773

D. Wang, J. Alger, J. Qiao, Q. Hao, S. Hou et al., The Value of Arterial Spin-Labeled Perfusion Imaging in Acute Ischemic Stroke, Stroke, vol.43, issue.4, pp.1018-1024, 2012.
DOI : 10.1161/STROKEAHA.111.631929

X. Zhang, E. Ghariq, N. Hartkamp, A. Webb, and M. Van-osch, Fast cerebral flow territory mapping using vessel encoded dynamic arterial spin labeling (VE-DASL), Magnetic Resonance in Medicine, vol.71, issue.5
DOI : 10.1002/mrm.25806