J. A. Edlow, Evidence-based guideline: the role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Subcommittee of the American Academy of Neurology, Neurology, vol.76, issue.23, 2011.

B. C. Campbell and I. M. Macrae, Translational Perspectives on Perfusion?Diffusion Mismatch in Ischemic Stroke, International Journal of Stroke, vol.10, issue.2, pp.153-162, 2013.

J. Astrup, B. K. Siesjö, and L. Symon, Thresholds in cerebral ischemia - the ischemic penumbra., Stroke, vol.12, issue.6, pp.723-725, 1981.

H. Ma, P. Wright, L. Allport, T. G. Phan, L. Churilov et al., Salvage of the PWI/DWI Mismatch up to 48 h from Stroke Onset Leads to Favorable Clinical Outcome, International Journal of Stroke, vol.10, issue.4, pp.565-570, 2014.

G. W. Albers, V. N. 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.60, issue.5, pp.508-517, 2006.

S. M. Davis, G. A. Donnan, and M. W. Parsons, Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebocontrolled randomised trial, Lancet Neurol, vol.7, issue.4, pp.299-309, 2008.

G. W. Albers, M. P. Marks, and S. Kemp, Thrombectomy for Stroke with Selection by Perfusion Imaging, New England Journal of Medicine, vol.378, issue.19, pp.1849-1850, 2018.

J. Fiehler, K. Knudsen, T. Kucinski, C. S. Kidwell, J. R. Alger et al., Predictors of Apparent Diffusion Coefficient Normalization in Stroke Patients, Stroke, vol.35, issue.2, pp.514-519, 2004.

J. Sobesky, O. Z. Weber, F. Lehnhardt, V. Hesselmann, M. Neveling et al., Does the Mismatch Match the Penumbra?, Stroke, vol.36, issue.5, pp.980-985, 2005.

A. Purushotham, B. C. Campbell, M. Straka, M. Mlynash, J. Olivot et al., Apparent Diffusion Coefficient Threshold for Delineation of Ischemic Core, International Journal of Stroke, vol.10, issue.3, pp.348-353, 2013.

P. Loh, K. S. Butcher, M. W. Parsons, L. Macgregor, P. M. Desmond et al., Apparent Diffusion Coefficient Thresholds Do Not Predict the Response to Acute Stroke Thrombolysis, Stroke, vol.36, issue.12, pp.2626-2631, 2005.

K. A. Dani, R. G. Thomas, F. M. Chappell, K. Shuler, M. J. Macleod et al., Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: Definitions and thresholds, Annals of Neurology, vol.70, issue.3, pp.384-401, 2011.

J. Olivot, M. Mlynash, V. N. Thijs, S. Kemp, M. G. Lansberg et al., Optimal Tmax Threshold for Predicting Penumbral Tissue in Acute Stroke, Stroke, vol.40, issue.2, pp.469-475, 2009.

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

X. Robin, N. Turck, A. Hainard, N. Tiberti, F. Lisacek et al., pROC: an open-source package for R and S+ to analyze and compare ROC curves, BMC Bioinformatics, vol.12, issue.1, p.77, 2011.

W. J. Youden, Index for rating diagnostic tests, Cancer, vol.3, issue.1, pp.32-35, 1950.

J. V. Guadagno, E. A. Warburton, P. S. Jones, D. J. Day, F. I. 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.

M. Labeyrie, G. Turc, A. Hess, P. Hervo, J. Mas et al., Diffusion Lesion Reversal After Thrombolysis, Stroke, vol.43, issue.11, pp.2986-2991, 2012.

K. S. Yi, C. Choi, S. Lee, H. J. Lee, Y. Lee et al., Sustained diffusion reversal with in-bore reperfusion in monkey stroke models: Confirmed by prospective magnetic resonance imaging, Journal of Cerebral Blood Flow & Metabolism, vol.37, issue.6, pp.2002-2012, 2016.

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.

L. Olah, S. Wecker, and M. Hoehn, Relation of Apparent Diffusion Coefficient Changes and Metabolic Disturbances after 1 Hour of Focal Cerebral Ischemia and at Different Reperfusion Phases in Rats, Journal of Cerebral Blood Flow & Metabolism, vol.21, issue.4, pp.430-439, 2001.

E. Carrera, P. S. Jones, J. A. Alawneh, I. Klærke-mikkelsen, T. Cho et al., Predicting Infarction Within the Diffusion-Weighted Imaging Lesion, Stroke, vol.42, issue.6, pp.1602-1607, 2011.

A. R. Deipolyi, O. Wu, E. A. Macklin, P. W. Schaefer, L. H. Schwamm et al., Reliability of cerebral blood volume maps as a substitute for diffusion-weighted imaging in acute ischemic stroke, Journal of Magnetic Resonance Imaging, vol.36, issue.5, pp.1083-1087, 2012.

D. G. Darby, P. A. Barber, R. P. Gerraty, P. M. Desmond, Q. Yang et al., Pathophysiological Topography of Acute Ischemia by Combined Diffusion-Weighted and Perfusion MRI, Stroke, vol.30, issue.10, pp.2043-2052, 1999.

O. Zaro-weber, W. Moeller-hartmann, W. Heiss, and J. Sobesky, MRI Perfusion Maps in Acute Stroke Validated With 15O-Water Positron Emission Tomography, Stroke, vol.41, issue.3, pp.443-449, 2010.

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.

H. B. Van-der-worp, S. P. Claus, P. R. Ba?r, L. M. Ramos, A. Algra et al., Reproducibility of Measurements of Cerebral Infarct Volume on CT Scans, Stroke, vol.32, issue.2, pp.424-430, 2001.

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.

C. Chen, A. Bivard, L. Lin, C. R. Levi, N. J. Spratt et al., Thresholds for infarction vary between gray matter and white matter in acute ischemic stroke: A CT perfusion study, Journal of Cerebral Blood Flow & Metabolism, vol.39, issue.3, pp.536-546, 2017.

O. A. Berkhemer, P. S. Fransen, and D. Beumer, A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke, New England Journal of Medicine, vol.372, issue.4, pp.394-394, 2015.

J. L. Saver, M. Goyal, A. Bonafe, H. Diener, E. I. 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.
URL : https://hal.archives-ouvertes.fr/hal-02007226

M. Goyal, A. M. Demchuk, and B. K. Menon, Randomized assessment of rapid endovascular treatment of ischemic stroke, N Engl J Med, vol.372, pp.1019-1030, 2015.

B. C. Campbell, P. J. Mitchell, and T. J. Kleinig, Endovascular Therapy for Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2363-2366, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01728017

T. G. Jovin, A. Chamorro, E. Cobo, M. A. De-miquel, C. A. Molina et al., Thrombectomy within 8 Hours after Symptom Onset in Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2296-2306, 2015.

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

K. W. Muir, G. A. Ford, C. M. Messow, I. A. Ford, A. Murray et al., Endovascular therapy for acute ischaemic stroke: the Pragmatic Ischaemic Stroke Thrombectomy Evaluation (PISTE) randomised, controlled trial, Journal of Neurology, Neurosurgery & Psychiatry, vol.88, issue.1, pp.38-44, 2016.

M. Goyal, B. K. Menon, W. H. Van-zwam, D. W. Dippel, P. J. Mitchell et al., Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials, The Lancet, vol.387, issue.10029, pp.1723-1731, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01876049

A. Bucker, A. M. Boers, J. C. Bot, O. A. Berkhemer, H. F. Lingsma et al., Associations of Ischemic Lesion Volume With Functional Outcome in Patients With Acute Ischemic Stroke, Stroke, vol.48, issue.5, pp.1233-1240, 2017.

F. S. Al-ajlan, M. Goyal, A. M. Demchuk, P. Minhas, F. Sabiq et al., Intra-Arterial Therapy and Post-Treatment Infarct Volumes, Stroke, vol.47, issue.3, pp.777-781, 2016.

G. W. Albers, M. Goyal, R. Jahan, A. Bonafe, H. Diener et al., Relationships Between Imaging Assessments and Outcomes in Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment for Acute Ischemic Stroke, Stroke, vol.46, issue.10, pp.2786-2794, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01954333

J. A. Edlow, Evidence-based guideline: the role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Subcommittee of the American Academy of Neurology, Neurology, vol.76, pp.177-185, 2011.

J. M. Olivot, P. J. 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.
URL : https://hal.archives-ouvertes.fr/hal-02395779

M. D. Gilgen, D. Klimek, K. T. Liesirova, J. Meisterernst, P. P. Klinger-gratz et al., Younger Stroke Patients With Large Pretreatment Diffusion-Weighted Imaging Lesions May Benefit From Endovascular Treatment, Stroke, vol.46, issue.9, pp.2510-2516, 2015.

A. J. Yoo, L. A. Verduzco, P. W. Schaefer, J. A. Hirsch, J. D. Rabinov et al., MRI-Based Selection for Intra-Arterial Stroke Therapy, Stroke, vol.40, issue.6, pp.2046-2054, 2009.

D. Sa-n-ak, V. Hor-ak, and D. , 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.48, pp.632-639, 2006.

M. Straka, G. W. Albers, and R. Bammer, Real-time diffusion-perfusion mismatch analysis in acute stroke, Journal of Magnetic Resonance Imaging, vol.32, issue.5, pp.1024-1037, 2010.

M. G. Lansberg, M. Straka, S. Kemp, M. Mlynash, L. R. 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.

G. W. Albers, V. N. 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.60, issue.5, pp.508-517, 2006.

A. J. Yoo, L. A. Verduzco, P. W. Schaefer, J. A. Hirsch, J. D. Rabinov et al., MRI-Based Selection for Intra-Arterial Stroke Therapy, Stroke, vol.40, issue.6, pp.2046-2054, 2009.

M. Goyal, B. K. Menon, W. H. Van-zwam, D. W. Dippel, P. J. Mitchell et al., Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials, The Lancet, vol.387, issue.10029, pp.1723-1731, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01876049

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

W. Heiss and C. S. Kidwell, Imaging for Prediction of Functional Outcome and Assessment of Recovery in Ischemic Stroke, Stroke, vol.45, issue.4, pp.1195-1201, 2014.

F. B. Young, K. R. Lees, and C. J. Weir, Improving Trial Power Through Use of Prognosis-Adjusted End Points, Stroke, vol.36, issue.3, pp.597-601, 2005.

G. Saposnik, A. K. Guzik, M. Reeves, B. Ovbiagele, and S. C. Johnston, Stroke Prognostication using Age and NIH Stroke Scale: SPAN-100, Neurology, vol.80, issue.1, pp.21-28, 2012.

A. Kruetzelmann, M. Köhrmann, J. Sobesky, B. Cheng, M. Rosenkranz et al., Pretreatment Diffusion-Weighted Imaging Lesion Volume Predicts Favorable Outcome After Intravenous Thrombolysis With Tissue-Type Plasminogen Activator in Acute Ischemic Stroke, Stroke, vol.42, issue.5, pp.1251-1254, 2011.

A. Bucker, A. M. Boers, J. C. Bot, O. A. Berkhemer, H. F. Lingsma et al., Associations of Ischemic Lesion Volume With Functional Outcome in Patients With Acute Ischemic Stroke, Stroke, vol.48, issue.5, pp.1233-1240, 2017.

M. D. Gilgen, D. Klimek, K. T. Liesirova, J. Meisterernst, P. P. Klinger-gratz et al., Younger Stroke Patients With Large Pretreatment Diffusion-Weighted Imaging Lesions May Benefit From Endovascular Treatment, Stroke, vol.46, issue.9, pp.2510-2516, 2015.

Y. Xie, C. Oppenheim, F. Guillemin, V. Gautheron, B. Gory et al., Pretreatment lesional volume impacts clinical outcome and thrombectomy efficacy, Annals of Neurology, vol.83, issue.1, pp.178-185, 2018.

B. Cheng, N. D. Forkert, M. Zavaglia, C. C. Hilgetag, A. Golsari et al., Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale, Stroke, vol.45, issue.6, pp.1695-1702, 2014.

N. Yassi, L. Churilov, B. C. Campbell, G. Sharma, R. Bammer et al., The Association between Lesion Location and Functional Outcome after Ischemic Stroke, International Journal of Stroke, vol.10, issue.8, pp.1270-1276, 2015.

O. Wu, L. Cloonan, S. J. Mocking, M. J. Bouts, W. A. Copen et al., Role of Acute Lesion Topography in Initial Ischemic Stroke Severity and Long-Term Functional Outcomes, Stroke, vol.46, issue.9, pp.2438-2444, 2015.

S. Payabvash, S. Taleb, J. C. Benson, and A. M. Mckinney, Acute Ischemic Stroke Infarct Topology: Association with Lesion Volume and Severity of Symptoms at Admission and Discharge, American Journal of Neuroradiology, vol.38, issue.1, pp.58-63, 2016.

O. A. Berkhemer, P. Fransen, and D. Beumer, A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke, New England Journal of Medicine, vol.372, issue.4, pp.394-394, 2015.

J. L. Saver, M. Goyal, A. Bonafe, H. Diener, E. I. 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.
URL : https://hal.archives-ouvertes.fr/hal-02007226

M. Goyal, A. M. Demchuk, and B. K. Menon, Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke, N Engl J Med, vol.372, pp.1019-1030, 2015.

B. Campbell, P. J. Mitchell, and T. J. Kleinig, Endovascular Therapy for Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2363-2366, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01728017

T. G. Jovin, A. Chamorro, E. Cobo, M. A. De-miquel, C. A. Molina et al., Thrombectomy within 8 Hours after Symptom Onset in Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2296-2306, 2015.

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

K. W. Muir, G. A. Ford, C. Messow, I. A. Ford, A. Murray et al., Endovascular therapy for acute ischaemic stroke: the Pragmatic Ischaemic Stroke Thrombectomy Evaluation (PISTE) randomised, controlled trial, Journal of Neurology, Neurosurgery & Psychiatry, vol.88, issue.1, pp.38-44, 2016.

M. Goyal, B. K. Menon, W. H. Van-zwam, D. W. Dippel, P. J. Mitchell et al., Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials, The Lancet, vol.387, issue.10029, pp.1723-1731, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01876049

S. Sperandei, Understanding logistic regression analysis, Biochemia Medica, vol.24, pp.12-18, 2014.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.20, issue.3, pp.273-297, 1995.

M. G. Lansberg, J. Lee, S. Christensen, M. Straka, D. A. De-silva et al., RAPID Automated Patient Selection for Reperfusion Therapy, Stroke, vol.42, issue.6, pp.1608-1614, 2011.

N. Tzourio-mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard et al., Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain, NeuroImage, vol.15, issue.1, pp.273-289, 2002.

R. Tibshirani, Regression Shrinkage and Selection Via the Lasso, Journal of the Royal Statistical Society: Series B (Methodological), vol.58, issue.1, pp.267-288, 1996.

K. Yan and D. Zhang, Feature selection and analysis on correlated gas sensor data with recursive feature elimination, Sensors and Actuators B: Chemical, vol.212, pp.353-363, 2015.

C. C. Chang and C. J. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-27, 2011.

J. N. Fink, C. M. Frampton, P. Lyden, and K. R. Lees, Does Hemispheric Lateralization Influence Functional and Cardiovascular Outcomes After Stroke?, Stroke, vol.39, issue.12, pp.3335-3340, 2008.

J. N. Fink, M. H. Selim, S. Kumar, B. Silver, I. Linfante et al., Is the Association of National Institutes of Health Stroke Scale Scores and Acute Magnetic Resonance Imaging Stroke Volume Equal for Patients With Right- and Left-Hemisphere Ischemic Stroke?, Stroke, vol.33, issue.4, pp.954-958, 2002.

R. J. Von-der-heide, L. M. Skipper, E. M. Klobusicky, and I. R. Olson, Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis, Brain, vol.136, issue.6, pp.1692-1707, 2013.

K. Oishi, A. V. Faria, J. Hsu, D. Tippett, S. Mori et al., Critical role of the right uncinate fasciculus in emotional empathy, Annals of Neurology, vol.77, issue.1, pp.68-74, 2014.

L. Diao, H. Yu, J. Zheng, Z. Chen, D. Huang et al., Abnormalities of the uncinate fasciculus correlate with executive dysfunction in patients with left temporal lobe epilepsy, Magnetic Resonance Imaging, vol.33, issue.5, pp.544-550, 2015.

M. Irish, J. R. Hodges, and O. Piguet, Right anterior temporal lobe dysfunction underlies theory of mind impairments in semantic dementia, Brain, vol.137, issue.4, pp.1241-1253, 2014.

A. Zhang, O. Ajilore, L. Zhan, J. Gadelkarim, L. Korthauer et al., White Matter Tract Integrity of Anterior Limb of Internal Capsule in Major Depression and Type 2 Diabetes, Neuropsychopharmacology, vol.38, issue.8, pp.1451-1459, 2013.

E. A. Hazlett, T. Collazo, Y. Zelmanova, J. J. Entis, K. Chu et al., Anterior limb of the internal capsule in schizotypal personality disorder: Fiber-tract counting, volume, and anisotropy, Schizophrenia Research, vol.141, issue.2-3, pp.119-127, 2012.

A. A. Utter and M. A. Basso, The basal ganglia: An overview of circuits and function, Neuroscience & Biobehavioral Reviews, vol.32, issue.3, pp.333-342, 2008.

R. De-haan, M. Limburg, P. Bossuyt, J. Van-der-meulen, and N. Aaronson, The Clinical Meaning of Rankin ?Handicap? Grades After Stroke, Stroke, vol.26, issue.11, pp.2027-2030, 1995.

M. Jeannerod, F. Michel, and C. Prablanc, THE CONTROL OF HAND MOVEMENTS IN A CASE OF HEMIANAESTHESIA FOLLOWING A PARIETAL LESION, Brain, vol.107, issue.3, pp.899-920, 1984.

G. Króliczak, B. J. Piper, and S. H. Frey, Specialization of the left supramarginal gyrus for hand-independent praxis representation is not related to hand dominance, Neuropsychologia, vol.93, pp.501-512, 2016.

E. Abela, J. Missimer, R. Wiest, A. Federspiel, C. Hess et al., Lesions to Primary Sensory and Posterior Parietal Cortices Impair Recovery from Hand Paresis after Stroke, PLoS ONE, vol.7, issue.2, p.e31275, 2012.

S. C. Cramer, W. J. Koroshetz, and S. P. Finklestein, The Case for Modality-Specific Outcome Measures in Clinical Trials of Stroke Recovery-Promoting Agents, Stroke, vol.38, issue.4, pp.1393-1395, 2007.

J. L. Banks and C. A. Marotta, Outcomes Validity and Reliability of the Modified Rankin Scale: Implications for Stroke Clinical Trials, Stroke, vol.38, issue.3, pp.1091-1096, 2007.

H. Asadi, R. Dowling, B. Yan, and P. Mitchell, Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy, PLoS ONE, vol.9, p.88225, 2014.

E. J. Benjamin, S. S. Virani, C. W. Callaway, A. M. Chamberlain, A. R. Chang et al., Correction to: Heart Disease and Stroke Statistics?2018 Update: A Report From the American Heart Association, Circulation, vol.137, issue.12, pp.67-492, 2018.

J. Astrup, B. K. Siesjö, and L. Symon, Thresholds in cerebral ischemia -the ischemic penumbra, Stroke, vol.12, issue.6, pp.723-728, 1981.

N. Kamal, N. Majmundar, N. Damodara, M. El-ghanem, R. Nuoman et al., Mechanical thrombectomy ? is time still brain? The DAWN of a new era, British Journal of Neurosurgery, vol.32, issue.3, pp.245-249, 2018.

B. J. Kim, H. G. Kang, H. Kim, S. Ahn, N. Y. Kim et al., Magnetic Resonance Imaging in Acute Ischemic Stroke Treatment, J Stroke, vol.16, issue.3, pp.131-176, 2014.

F. A. Azevedo, L. R. Carvalho, L. T. Grinberg, J. M. Farfel, R. E. Ferretti et al., Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain, The Journal of Comparative Neurology, vol.513, issue.5, pp.532-541, 2009.

, Gross Anatomy of the Brain, The Human Nervous System, pp.1-10

D. Purves, G. J. Augustine, D. Fitzpatrick, L. C. Katz, A. Lamantia et al., The Blood Supply of the Brain and Spinal Cord, 2001.

K. Aho, P. Harmsen, S. Hatano, J. Marquardsen, V. E. Smirnov et al., Cerebrovascular disease in the community: results of a WHO Collaborative Study, Bull World Health Organ, vol.58, issue.1, pp.113-143, 1980.

H. P. Adams, B. H. Bendixen, L. J. Kappelle, J. Biller, B. B. Love et al., 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, vol.24, issue.1, pp.35-41, 1993.

N. M. Branston, L. Symon, H. A. Crockard, and E. Pasztor, Relationship between the cortical evoked potential and local cortical blood flow following acute middle cerebral artery occlusion in the baboon, Experimental Neurology, vol.45, issue.2, pp.195-208, 1974.

J. Astrup, L. Symon, N. M. Branston, and N. A. Lassen, Cortical evoked potential and extracellular K+ and H+ at critical levels of brain ischemia., Stroke, vol.8, issue.1, pp.51-57, 1977.

W. D. Heiss and G. Rosner, Functional recovery of cortical neurons as related to degree and duration of ischemia, Ann Neurol, vol.14, issue.3, pp.294-301, 1983.

W. Heiss, The ischemic penumbra: correlates in imaging and implications for treatment of ischemic stroke. The Johann Jacob Wepfer award 2011, Cerebrovasc Dis, vol.32, issue.4, pp.307-327, 2011.

W. Heiss and O. Zaro-weber, Validation of MRI Determination of the Penumbra by PET Measurements in Ischemic Stroke, Journal of Nuclear Medicine, vol.58, issue.2, pp.187-193, 2016.

J. L. Saver, Time is brain--quantified, Stroke, vol.37, issue.1, pp.263-269, 2006.

. &na;, Tissue plasminogen activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke t-PA Stroke Study Group, Journal of Neurosurgical Anesthesiology, vol.8, issue.2, p.172, 1996.

W. Hacke, M. Kaste, E. Bluhmki, M. Brozman, A. Dávalos 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.

J. Emberson, K. R. Lees, P. Lyden, L. Blackwell, G. Albers et al., Effect of treatment delay, age, and stroke severity on the effects of intravenous thrombolysis with alteplase for acute ischaemic stroke: a meta-analysis of individual patient data from randomised trials, The Lancet, vol.384, issue.9958, pp.1929-1935, 2014.

W. J. Powers, A. A. Rabinstein, T. Ackerson, O. M. Adeoye, N. C. Bambakidis et al., Guidelines for the Early Management of Patients With Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the, American Heart Association/American Stroke Association. Stroke, vol.49, issue.3, pp.46-110, 2018.

I. Christou, W. S. Burgin, A. V. Alexandrov, and J. C. Grotta, Arterial status after intravenous TPA therapy for ischaemic stroke. A need for further interventions, Int Angiol, vol.20, issue.3, pp.208-221, 2001.

R. Bhatia, M. D. Hill, N. Shobha, B. Menon, S. Bal et al., Low rates of acute recanalization with intravenous recombinant tissue plasminogen activator in ischemic stroke: real-world experience and a call for action, Stroke, vol.41, issue.10, pp.2254-2262, 2010.

J. P. Broderick, Y. Y. Palesch, A. M. Demchuk, S. D. Yeatts, P. Khatri et al., Endovascular Therapy after Intravenous t-PA versus t-PA Alone for Stroke, New England Journal of Medicine, vol.368, issue.10, pp.893-903, 2013.

C. S. Kidwell, R. Jahan, J. Gornbein, J. R. Alger, V. Nenov et al., A Trial of Imaging Selection and Endovascular Treatment for Ischemic Stroke, New England Journal of Medicine, vol.368, issue.10, pp.914-923, 2013.

A. Ciccone, L. Valvassori, M. Nichelatti, A. Sgoifo, M. Ponzio et al., Endovascular Treatment for Acute Ischemic Stroke, New England Journal of Medicine, vol.368, issue.10, pp.904-913, 2013.

J. L. Saver, M. Goyal, A. Bonafe, H. Diener, E. I. 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.
URL : https://hal.archives-ouvertes.fr/hal-02007226

T. G. Jovin, A. Chamorro, E. Cobo, M. A. De-miquel, C. A. Molina et al., Thrombectomy within 8 Hours after Symptom Onset in Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2296-2306, 2015.

M. Goyal, A. M. Demchuk, B. K. Menon, M. Eesa, J. L. Rempel et al., Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke, N Engl J Med, vol.372, issue.11, pp.1019-1049, 2015.

B. C. Campbell, P. J. Mitchell, T. J. Kleinig, H. M. 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.

O. A. Berkhemer, P. Fransen, D. Beumer, L. A. Van-den-berg, H. F. Lingsma et al., A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke, N Engl J Med, vol.372, issue.1, pp.11-20, 2015.

M. Goyal, B. K. Menon, W. H. Van-zwam, D. W. Dippel, P. J. Mitchell et al., Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials, The Lancet, vol.387, issue.10029, pp.1723-1731, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01876049

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

K. W. Muir, G. A. Ford, C. Messow, I. A. Ford, A. Murray et al., Endovascular therapy for acute ischaemic stroke: the Pragmatic Ischaemic Stroke Thrombectomy Evaluation (PISTE) randomised, controlled trial, Journal of Neurology, Neurosurgery & Psychiatry, vol.88, issue.1, pp.38-44, 2016.

C. Tan, H. Wang, J. Ji, M. Tan, L. Tan et al., Endovascular Treatment Versus Intravenous Thrombolysis for Acute Ischemic Stroke: a Quantitative Review and Meta-Analysis of 21 Randomized Trials, Molecular Neurobiology, vol.54, issue.2, pp.1369-1378, 2016.

J. L. Saver, M. Goyal, A. Van-der-lugt, B. K. Menon, C. B. Majoie et al., Time to Treatment With Endovascular Thrombectomy and Outcomes From Ischemic Stroke: A Meta-analysis, JAMA, vol.316, issue.12, p.1279, 2016.

R. G. Nogueira, A. P. Jadhav, D. C. Haussen, A. Bonafe, R. F. Budzik et al., Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct, N Engl J Med, vol.378, issue.1, pp.11-21, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02387070

G. W. Albers, M. P. Marks, S. Kemp, S. Christensen, J. P. Tsai et al., Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging, New England Journal of Medicine, vol.378, issue.8, pp.708-718, 2018.

T. Brott, H. P. Adams, C. P. Olinger, J. R. Marler, W. G. Barsan et al., Measurements of acute cerebral infarction: a clinical examination scale., Stroke, vol.20, issue.7, pp.864-870, 1989.

M. Boone, J. Chillon, P. Garcia, S. Canaple, C. Lamy et al., NIHSS and acute complications after anterior and posterior circulation strokes, Ther Clin Risk Manag, vol.8, pp.87-93, 2012.

M. Osaki, F. Miyashita, M. Koga, M. Fukuda, Y. Shigehatake et al., Simple clinical predictors of stroke outcome based on National Institutes of Health Stroke Scale score during 1-h recombinant tissue-type plasminogen activator infusion, European Journal of Neurology, vol.21, issue.3, pp.411-418, 2013.

D. Woo, J. P. Broderick, R. U. Kothari, M. Lu, T. Brott et al., Does the National Institutes of Health Stroke Scale Favor Left Hemisphere Strokes?, Stroke, vol.30, issue.11, pp.2355-2359, 1999.

J. N. Fink, M. H. Selim, S. Kumar, B. Silver, I. Linfante et al., Is the Association of National Institutes of Health Stroke Scale Scores and Acute Magnetic Resonance Imaging Stroke Volume Equal for Patients With Right- and Left-Hemisphere Ischemic Stroke?, Stroke, vol.33, issue.4, pp.954-958, 2002.

S. Martin-schild, K. C. Albright, J. Tanksley, V. Pandav, E. B. Jones et al., Zero on the NIHSS Does Not Equal the Absence of Stroke, Annals of Emergency Medicine, vol.57, issue.1, pp.42-45, 2011.

J. C. Van-swieten, P. J. Koudstaal, M. C. Visser, H. J. Schouten, and J. Van-gijn, Interobserver agreement for the assessment of handicap in stroke patients., Stroke, vol.19, issue.5, pp.604-607, 1988.

A. Nunn and L. J. Gray, Analysis of the modified rankin scale in randomised controlled trials in acute stroke: a systematic review, Trials, vol.16, issue.S2, p.9482876, 2015.

M. R. Etherton, N. S. Rost, and O. Wu, Infarct topography and functional outcomes, Journal of Cerebral Blood Flow & Metabolism, vol.38, issue.9, pp.1517-1532, 2017.

G. L. Lenzi, R. S. Frackowiak, and T. Jones, Cerebral Oxygen Metabolism and Blood Flow in Human Cerebral Ischemic Infarction, Journal of Cerebral Blood Flow & Metabolism, vol.2, issue.3, pp.321-335, 1982.

J. C. Baron, M. G. 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.

C. Vert, C. Parra-fariñas, and À. Rovira, MR imaging in hyperacute ischemic stroke, European Journal of Radiology, vol.96, pp.125-132, 2017.

R. A. Pooley, Fundamental Physics of MR Imaging, RadioGraphics, vol.25, issue.4, pp.1087-1099, 2005.

B. A. Jung and M. Weigel, Spin echo magnetic resonance imaging, Journal of Magnetic Resonance Imaging, vol.37, issue.4, pp.805-817, 2013.

E. O. Stejskal and J. E. Tanner, Spin Diffusion Measurements: Spin Echoes in the Presence of a Time?Dependent Field Gradient, The Journal of Chemical Physics, vol.42, issue.1, pp.288-292, 1965.

L. Bihan, D. Breton, E. Lallemand, D. Grenier, P. Cabanis et al., MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders, Radiology, vol.161, issue.2, pp.401-408, 1986.
URL : https://hal.archives-ouvertes.fr/hal-00349714

G. S. Chilla, C. H. Tan, C. Xu, and C. L. Poh, Diffusion weighted magnetic resonance imaging and its recent trend-a survey, Quant Imaging Med Surg, vol.5, issue.3, pp.407-429, 2015.

R. Bammer, Basic principles of diffusion-weighted imaging, European Journal of Radiology, vol.45, issue.3, pp.169-184, 2003.

P. W. Schaefer, P. E. Grant, and R. G. Gonzalez, Diffusion-weighted MR Imaging of the Brain, Radiology, vol.217, issue.2, pp.331-345, 2000.

A. K. Srivastava, G. Mehrotra, S. K. Bhargava, S. Agarwal, and R. P. Tripathi, Studies on the time course of apparent diffusion coefficient and signal intensities on T2- and diffusion-weighted MR Imaging in acute cerebral ischemic stroke, Journal of Medical Physics, vol.33, issue.4, p.162, 2008.

J. D. Eastwood, S. T. Engelter, J. F. Macfall, D. M. Delong, and J. M. Provenzale, Quantitative assessment of the time course of infarct signal intensity on diffusion-weighted images, AJNR Am J Neuroradiol, vol.24, issue.4, pp.680-687, 2003.

J. A. Edlow, Evidence-based guideline: the role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Subcommittee of the American Academy of Neurology, Neurology, vol.76, issue.23, 2011.

M. E. Mullins, P. W. Schaefer, A. G. Sorensen, E. F. Halpern, H. Ay et al., CT and Conventional and Diffusion-weighted MR Imaging in Acute Stroke: Study in 691 Patients at Presentation to the Emergency Department, Radiology, vol.224, issue.2, pp.353-360, 2002.

L. M. Gibson and W. Whiteley, The differential diagnosis of suspected stroke: a systematic review, The Journal of the Royal College of Physicians of Edinburgh, vol.43, issue.2, pp.114-118, 2013.

R. Eichel, T. B. Hur, J. M. Gomori, J. E. Cohen, and R. R. Leker, Use of DWI-only MR protocol for screening stroke mimics, Journal of the Neurological Sciences, vol.328, issue.1-2, pp.37-40, 2013.

L. Zuo, Y. Zhang, X. Xu, Y. Li, H. Bao et al., A retrospective analysis of negative diffusion-weighted image results in patients with acute cerebral infarction, Scientific Reports, vol.5, issue.1, p.8910, 2015.

C. Rosso, A. Drier, D. Lacroix, G. Mutlu, C. Pires et al., Diffusion-weighted MRI in acute stroke within the first 6 hours: 1.5 or 3.0 Tesla?, Neurology, vol.74, issue.24, pp.1946-1953, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00805383

P. W. Schaefer, A. Hassankhani, C. Putman, A. G. Sorensen, L. Schwamm et al., Characterization and Evolution of Diffusion MR Imaging Abnormalities in Stroke Patients Undergoing Intra-Arterial Thrombolysis, Am J Neuroradiol, vol.25, issue.6, pp.951-958, 2004.

M. Labeyrie, G. Turc, A. Hess, P. Hervo, J. Mas et al., Diffusion Lesion Reversal After Thrombolysis, Stroke, vol.43, issue.11, pp.2986-2991, 2012.

J. Olivot, M. Mlynash, V. N. Thijs, A. Purushotham, S. Kemp et al., Relationships Between Cerebral Perfusion and Reversibility of Acute Diffusion Lesions in DEFUSE, Stroke, vol.40, issue.5, pp.1692-1697, 2009.

M. Luby, S. J. Warach, Z. Nadareishvili, and J. G. Merino, Immediate Changes in Stroke Lesion Volumes Post Thrombolysis Predict Clinical Outcome, Stroke, vol.45, issue.11, pp.3275-3279, 2014.

C. S. Kidwell, J. L. Saver, S. Starkman, G. Duckwiler, R. Jahan et al., Late secondary ischemic injury in patients receiving intraarterial thrombolysis, Annals of Neurology, vol.52, issue.6, pp.698-703, 2002.

S. Soize, M. Tisserand, S. Charron, G. Turc, W. Ben-hassen et al., How Sustained Is 24-Hour Diffusion-Weighted Imaging Lesion Reversal?, Stroke, vol.46, issue.3, pp.704-710, 2015.

T. M. Ringer, T. Neumann-haefelin, R. A. Sobel, M. E. Moseley, and M. A. Yenari, Reversal of Early Diffusion-Weighted Magnetic Resonance Imaging Abnormalities Does Not Necessarily Reflect Tissue Salvage in Experimental Cerebral Ischemia, Stroke, vol.32, issue.10, pp.2362-2369, 2001.

F. Li, K. Liu, M. D. Silva, T. Omae, C. H. Sotak et al., Transient and Permanent Resolution of Ischemic Lesions on Diffusion-Weighted Imaging After Brief Periods of Focal Ischemia in Rats, Stroke, vol.31, issue.4, pp.946-954, 2000.

A. Purushotham, B. C. Campbell, M. Straka, M. Mlynash, J. Olivot et al., Apparent Diffusion Coefficient Threshold for Delineation of Ischemic Core, International Journal of Stroke, vol.10, issue.3, pp.348-353, 2013.

E. Carrera, P. S. Jones, J. A. Alawneh, I. Klærke-mikkelsen, T. Cho et al., Predicting Infarction Within the Diffusion-Weighted Imaging Lesion, Stroke, vol.42, issue.6, pp.1602-1607, 2011.

P. A. Barber, A. M. Demchuk, J. Zhang, and A. M. Buchan, Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy, The Lancet, vol.355, issue.9216, pp.1670-1674, 2000.

M. D. Hill, H. A. Rowley, F. Adler, M. Eliasziw, A. Furlan et al., Selection of Acute Ischemic Stroke Patients for Intra-Arterial Thrombolysis With Pro-Urokinase by Using ASPECTS, Stroke, vol.34, issue.8, pp.1925-1931, 2003.

M. D. Hill, A. M. Demchuk, M. Goyal, T. G. Jovin, L. D. Foster et al., Alberta Stroke Program Early Computed Tomography Score to Select Patients for Endovascular Treatment, Stroke, vol.45, issue.2, pp.444-449, 2014.

A. J. Yoo, O. A. Berkhemer, P. S. Fransen, L. A. Van-den-berg, D. Beumer et al., Effect of baseline Alberta Stroke Program Early CT Score on safety and efficacy of intra-arterial treatment: a subgroup analysis of a randomised phase 3 trial (MR CLEAN), The Lancet Neurology, vol.15, issue.7, pp.685-694, 2016.

N. Nighoghossian, M. Hermier, P. Adeleine, L. Derex, J. F. Dugor et al., Baseline Magnetic Resonance Imaging Parameters and Stroke Outcome in Patients Treated by Intravenous Tissue Plasminogen Activator, Stroke, vol.34, issue.2, pp.458-463, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00427456

S. T. Engelter, J. M. Provenzale, J. R. Petrella, D. M. Delong, and M. J. Alberts, Infarct Volume on Apparent Diffusion Coefficient Maps Correlates with Length of Stay and Outcome after Middle Cerebral Artery Stroke, Cerebrovascular Diseases, vol.15, issue.3, pp.188-191, 2003.

L. Ma, P. Gao, Q. Hu, Y. Lin, L. Jing et al., Effect of baseline magnetic resonance imaging (MRI) apparent diffusion coefficient lesion volume on functional outcome in ischemic stroke, Neurological Research, vol.33, issue.5, pp.494-502, 2011.

D. Sanák, &. Nosál, D. Horák, A. Bártková, K. Zelenák 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.48, issue.9, pp.632-641, 2006.

A. J. Yoo, E. R. Barak, W. A. Copen, S. Kamalian, L. R. Gharai et al., Combining Acute Diffusion-Weighted Imaging and Mean Transmit Time Lesion Volumes With National Institutes of Health Stroke Scale Score Improves the Prediction of Acute Stroke Outcome, Stroke, vol.41, issue.8, pp.1728-1735, 2010.

A. J. Yoo, L. A. Verduzco, P. W. Schaefer, J. A. Hirsch, J. D. Rabinov et al., MRI-Based Selection for Intra-Arterial Stroke Therapy, Stroke, vol.40, issue.6, pp.2046-2054, 2009.

P. W. Schaefer, B. Pulli, W. A. Copen, J. A. Hirsch, T. Leslie-mazwi et al., Combining MRI with NIHSS Thresholds to Predict Outcome in Acute Ischemic Stroke: Value for Patient Selection, American Journal of Neuroradiology, vol.36, issue.2, pp.259-264, 2014.

G. W. Albers, V. N. 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.60, issue.5, pp.508-517, 2006.

S. M. Davis, G. A. Donnan, M. W. Parsons, C. Levi, K. S. Butcher et al., Effects of alteplase beyond 3 h after stroke in the Echoplanar Imaging Thrombolytic Evaluation Trial (EPITHET): a placebo-controlled randomised trial, Lancet Neurol, vol.7, issue.4, pp.299-309, 2008.

J. Olivot, P. J. 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.
URL : https://hal.archives-ouvertes.fr/hal-02395779

M. D. Gilgen, D. Klimek, K. T. Liesirova, J. Meisterernst, P. P. Klinger-gratz et al., Younger Stroke Patients With Large Pretreatment Diffusion-Weighted Imaging Lesions May Benefit From Endovascular Treatment, Stroke, vol.46, issue.9, pp.2510-2516, 2015.

R. G. Nogueira, D. C. Haussen, S. Dehkharghani, L. C. Rebello, A. Lima et al., Large Volumes of Critically Hypoperfused Penumbral Tissue Do Not Preclude Good Outcomes After Complete Endovascular Reperfusion, Stroke, vol.47, issue.1, pp.94-98, 2016.

L. C. Rebello, M. Bouslama, D. C. Haussen, S. Dehkharghani, J. A. Grossberg et al., Endovascular Treatment for Patients With Acute Stroke Who Have a Large Ischemic Core and Large Mismatch Imaging Profile, JAMA Neurology, vol.74, issue.1, p.34, 2017.

M. Tisserand, G. Turc, S. Charron, L. Legrand, M. Edjlali et al., Does Diffusion Lesion Volume Above 70 mL Preclude Favorable Outcome Despite Post-Thrombolysis Recanalization?, Stroke, vol.47, issue.4, pp.1005-1011, 2016.

A. J. Yoo, Z. A. Chaudhry, R. G. Nogueira, M. H. Lev, P. W. Schaefer et al., Infarct Volume Is a Pivotal Biomarker After Intra-Arterial Stroke Therapy, Stroke, vol.43, issue.5, pp.1323-1330, 2012.

S. F. Zaidi, A. Aghaebrahim, X. Urra, M. A. Jumaa, B. Jankowitz et al., Final Infarct Volume Is a Stronger Predictor of Outcome Than Recanalization in Patients With Proximal Middle Cerebral Artery Occlusion Treated With Endovascular Therapy, Stroke, vol.43, issue.12, pp.3238-3244, 2012.

G. W. Albers, M. Goyal, R. Jahan, A. Bonafe, H. Diener et al., Relationships Between Imaging Assessments and Outcomes in Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment for Acute Ischemic Stroke, Stroke, vol.46, issue.10, pp.2786-2794, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01954333

F. S. Al-ajlan, M. Goyal, A. M. Demchuk, P. Minhas, F. Sabiq et al., Intra-Arterial Therapy and Post-Treatment Infarct Volumes, Stroke, vol.47, issue.3, pp.777-781, 2016.

A. Bucker, A. M. Boers, J. C. Bot, O. A. Berkhemer, H. F. Lingsma et al., Associations of Ischemic Lesion Volume With Functional Outcome in Patients With Acute Ischemic Stroke, Stroke, vol.48, issue.5, pp.1233-1240, 2017.

A. Goto, S. Okuda, S. Ito, Y. Matsuoka, E. Ito et al., Locomotion Outcome in Hemiplegic Patients with Middle Cerebral Artery Infarction: The Difference Between Right- and Left-Sided Lesions, Journal of Stroke and Cerebrovascular Diseases, vol.18, issue.1, pp.60-67, 2009.

J. N. Fink, C. M. Frampton, P. Lyden, and K. R. Lees, Does Hemispheric Lateralization Influence Functional and Cardiovascular Outcomes After Stroke?, Stroke, vol.39, issue.12, pp.3335-3340, 2008.

A. J. Yoo, J. Romero, R. Hakimelahi, R. G. Nogueira, J. D. Rabinov et al., Predictors of functional outcome vary by the hemisphere of involvement in major ischemic stroke treated with intra-arterial therapy: a retrospective cohort study, BMC Neurology, vol.10, issue.1, p.25, 2010.

R. Beare, J. Chen, and T. G. Phan, Googling Stroke ASPECTS to Determine Disability: Exploratory Analysis from VISTA-Acute Collaboration, PLOS ONE, vol.10, issue.5, p.e0125687, 2015.

T. G. Phan, A. Demchuk, V. Srikanth, B. Silver, S. C. Patel et al., Proof of Concept Study: Relating Infarct Location to Stroke Disability in the NINDS rt-PA Trial, Cerebrovascular Diseases, vol.35, issue.6, pp.560-565, 2013.

S. Rangaraju, C. Streib, A. Aghaebrahim, A. Jadhav, M. Frankel et al., Relationship Between Lesion Topology and Clinical Outcome in Anterior Circulation Large Vessel Occlusions, Stroke, vol.46, issue.7, pp.1787-1792, 2015.

S. Nagel, D. Sinha, D. Day, W. Reith, R. Chapot et al., e-ASPECTS software is non-inferior to neuroradiologists in applying the ASPECT score to computed tomography scans of acute ischemic stroke patients, Int J Stroke, vol.12, issue.6, pp.615-637, 2017.

M. Ernst, A. M. Boers, A. Aigner, O. A. Berkhemer, A. J. Yoo et al., Association of Computed Tomography Ischemic Lesion Location With Functional Outcome in Acute Large Vessel Occlusion Ischemic Stroke, Stroke, vol.48, issue.9, pp.2426-2433, 2017.

N. Yassi, L. Churilov, B. C. Campbell, G. Sharma, R. Bammer et al., The Association between Lesion Location and Functional Outcome after Ischemic Stroke, International Journal of Stroke, vol.10, issue.8, pp.1270-1276, 2015.

S. Payabvash, S. Taleb, J. C. Benson, and A. M. Mckinney, Acute Ischemic Stroke Infarct Topology: Association with Lesion Volume and Severity of Symptoms at Admission and Discharge, American Journal of Neuroradiology, vol.38, issue.1, pp.58-63, 2016.

P. Bentley, G. Kumar, P. Rinne, S. Buddha, J. Kallingal et al., Lesion locations influencing baseline severity and early recovery in ischaemic stroke, European Journal of Neurology, vol.21, issue.9, pp.1226-1232, 2014.

O. Wu, L. Cloonan, S. J. Mocking, M. J. Bouts, W. A. Copen et al., Role of Acute Lesion Topography in Initial Ischemic Stroke Severity and Long-Term Functional Outcomes, Stroke, vol.46, issue.9, pp.2438-2444, 2015.

B. Cheng, N. D. Forkert, M. Zavaglia, C. C. Hilgetag, A. Golsari et al., Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale, Stroke, vol.45, issue.6, pp.1695-1702, 2014.

G. Jahng, K. Li, L. Ostergaard, and F. Calamante, Perfusion Magnetic Resonance Imaging: A Comprehensive Update on Principles and Techniques, Korean Journal of Radiology, vol.15, issue.5, p.554, 2014.

F. Calamante, S. Christensen, P. M. Desmond, L. Østergaard, S. M. 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.

J. Olivot, M. Mlynash, V. N. Thijs, S. Kemp, M. G. Lansberg et al., Optimal Tmax Threshold for Predicting Penumbral Tissue in Acute Stroke, Stroke, vol.40, issue.2, pp.469-475, 2009.

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.

H. M. 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.

P. Loh, K. S. Butcher, M. W. Parsons, L. Macgregor, P. M. Desmond et al., Apparent Diffusion Coefficient Thresholds Do Not Predict the Response to Acute Stroke Thrombolysis, Stroke, vol.36, issue.12, pp.2626-2631, 2005.

J. Sobesky, O. Z. Weber, F. Lehnhardt, V. Hesselmann, M. Neveling et al., Does the Mismatch Match the Penumbra?, Stroke, vol.36, issue.5, pp.980-985, 2005.

W. Hacke, G. Albers, Y. Al-rawi, J. Bogousslavsky, A. Davalos et al., The Desmoteplase in Acute Ischemic Stroke Trial (DIAS), Stroke, vol.36, issue.1, pp.66-73, 2005.

A. J. Furlan, D. Eyding, G. W. Albers, Y. Al-rawi, K. R. Lees et al., Dose Escalation of Desmoteplase for Acute Ischemic Stroke (DEDAS), Stroke, vol.37, issue.5, pp.1227-1231, 2006.

G. Thomalla, P. Rossbach, M. Rosenkranz, S. Siemonsen, A. Krützelmann et al., Negative fluid-attenuated inversion recovery imaging identifies acute ischemic stroke at 3 hours or less, Annals of Neurology, vol.65, issue.6, pp.724-732, 2009.

M. Hohenhaus, W. U. Schmidt, P. Brunecker, C. Xu, B. Hotter et al., FLAIR Vascular Hyperintensities in Acute ICA and MCA Infarction: A Marker for Mismatch and Stroke Severity, Cerebrovascular Diseases, vol.34, issue.1, pp.63-69, 2012.

E. Etten-es-van,-auriel, K. E. Haley, A. M. Ayres, A. Vashkevich, and K. M. Schwab, Incidence of Symptomatic Hemorrhage in Patients With Lobar Microbleeds, Stroke, vol.45, issue.8, pp.2280-2285, 2014.

J. Fiehler, K. Knudsen, T. Kucinski, C. S. Kidwell, J. R. Alger et al., Predictors of Apparent Diffusion Coefficient Normalization in Stroke Patients, Stroke, vol.35, issue.2, pp.514-519, 2004.

K. A. Dani, R. G. Thomas, F. M. Chappell, K. Shuler, M. J. Macleod et al., Computed tomography and magnetic resonance perfusion imaging in ischemic stroke: Definitions and thresholds, Annals of Neurology, vol.70, issue.3, pp.384-401, 2011.

M. G. Lansberg, J. Lee, S. Christensen, M. Straka, D. A. De-silva et al., RAPID Automated Patient Selection for Reperfusion Therapy, Stroke, vol.42, issue.6, pp.1608-1614, 2011.

L. Olah, S. Wecker, and M. Hoehn, Relation of Apparent Diffusion Coefficient Changes and Metabolic Disturbances after 1 Hour of Focal Cerebral Ischemia and at Different Reperfusion Phases in Rats, Journal of Cerebral Blood Flow & Metabolism, vol.21, issue.4, pp.430-439, 2001.

A. Kruetzelmann, M. Köhrmann, J. Sobesky, B. Cheng, M. Rosenkranz et al., Pretreatment Diffusion-Weighted Imaging Lesion Volume Predicts Favorable Outcome After Intravenous Thrombolysis With Tissue-Type Plasminogen Activator in Acute Ischemic Stroke, Stroke, vol.42, issue.5, pp.1251-1254, 2011.

G. Saposnik, A. K. Guzik, M. Reeves, B. Ovbiagele, and S. C. Johnston, Stroke Prognostication using Age and NIH Stroke Scale: SPAN-100, Neurology, vol.80, issue.1, pp.21-28, 2012.

A. J. Yoo, O. O. Zaidat, Z. A. Chaudhry, O. A. Berkhemer, R. G. González et al., Impact of Pretreatment Noncontrast CT Alberta Stroke Program Early CT Score on Clinical Outcome After Intra-Arterial Stroke Therapy, Stroke, vol.45, issue.3, pp.746-751, 2014.

Y. Xie, C. Oppenheim, F. Guillemin, V. Gautheron, B. Gory et al., Pretreatment lesional volume impacts clinical outcome and thrombectomy efficacy, Annals of Neurology, vol.83, issue.1, pp.178-185, 2018.

J. L. Saver, K. C. Johnston, D. Homer, R. Wityk, W. Koroshetz et al., Infarct Volume as a Surrogate or Auxiliary Outcome Measure in Ischemic Stroke Clinical Trials, Stroke, vol.30, issue.2, pp.293-298, 1999.

N. M. Menezes, H. Ay, M. Wang-zhu, C. J. Lopez, A. B. Singhal et al., The Real Estate Factor, Stroke, vol.38, issue.1, pp.194-197, 2007.

K. L. Sainani, Logistic Regression, PM&R, vol.6, issue.12, pp.1157-1162, 2014.

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.20, issue.3, pp.273-297, 1995.

H. Asadi, R. Dowling, B. Yan, and P. Mitchell, Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy, PLoS ONE, vol.9, issue.2, p.e88225, 2014.

S. Luo, L. Yang, and L. Wang, Comparison of susceptibility-weighted and perfusion-weighted magnetic resonance imaging in the detection of penumbra in acute ischemic stroke, Journal of Neuroradiology, vol.42, issue.5, pp.255-260, 2015.

T. Boeckh-behrens, J. Lutz, N. Lummel, M. Burke, T. Wesemann et al., Susceptibility-weighted angiography (SWAN) of cerebral veins and arteries compared to TOF-MRA, European Journal of Radiology, vol.81, issue.6, pp.1238-1245, 2012.

M. J. Bouts, I. A. Tiebosch, A. Van-der-toorn, M. A. Viergever, O. Wu et al., Early Identification of Potentially Salvageable Tissue with MRI-Based Predictive Algorithms after Experimental Ischemic Stroke, Journal of Cerebral Blood Flow & Metabolism, vol.33, issue.7, pp.1075-1082, 2013.

, Les élèves de 15 ans dont les parents ne sont pas diplômés du secondaire ont de moins bons résultats que les autres, 2020.

Y. Xie, L. Liao, F. Guillemin, B. Chen, J. Felblinger et al., L?IRM de diffusion et de perfusion dans l?évaluation de la viabilité des tissus cérébraux chez les patients présentant un accident vasculaire cérébral ischémique à la phase aigüe, Journal of Neuroradiology, vol.44, issue.2, p.85, 2017.

, Les organisations de la société civile rapportent que des consultations ne sont pas systématiquement utilisées pour orienter les politiques nationales de développement, En général, les anomalies en DWI représentent le coeur de l'ischémie qui évolue à infarctus définitivement et les anomalies sur PWI représentent le tissu cérébral hypoperfusé, 2019.

. Actuellement, P. Dans-le-mismatch, and . Étudier, Graphique 2.4. Évolution du PIB en volume dans le pays de l'OCDE, les économies émergentes et le reste du monde

, Pourquoi les brevets présentent-ils un intérêt pour les PME dans le secteur des composants automobiles?, Il a été utilisé dans certaines études cliniques pour choisir les patients aux traitements. Les patients qui présentent un gros volume lésionnel, pp.16-19, 2003.

A. D. Tocqueville, Tocqueville au Bas-Canada, 2003.

N. Score and . De,

, Anatomie du tiers supérieur de la face, Anatomie du visage et du cou, pp.167-201, 2015.

J. Boucher-de-perthes, Des instrumens qui ont succédé aux haches de pierre et des autres signes qui se rapprochent des temps modernes, Antiquités Celtiques et Antédiluviennes, pp.135-161

J. Coquet, Résultats des travaux exécutés sous l'église de Ligugé, Bulletin de la Société Nationale des Antiquaires de France, vol.1966, issue.1, pp.78-79, 1967.

, Le niveau des inégalités de revenu dans les zones métropolitaines peut varier considérablement dans certains pays, Nous avons démontré que les paramètres dérivés du prétraitement DWI et PWI étaient capables de prédire la viabilité des tissus cérébraux. L', 2018.

, P215 Les Centres De Santé Dans Les Établissements Français Du Sang : Un Plus Pour Les Cliniciens Et Les Patients, Expérience De Tours, Transfusion Clinique et Biologique, vol.12, p.S136, 2005.

, Résultats du débat en atelier du Forum sur les inondations, Une région dans la turbulence, pp.117-128, 1998.

D. D. Batouche, L. Sadaoui, B. Khemliche, A. Negadi, and Z. Mentouri, Insuffisance rénale aiguë chez l?enfant en réanimation : quels résultats en termes d?évolution et de récupération de la fonction rénale, Néphrologie & Thérapeutique, vol.10, issue.5, p.400, 2014.

, Éviter les examens et traitements inutiles: un rôle clé pour les médecins de famille, PrimaryCare, vol.14, issue.20, pp.321-322, 2014.

, Les points forts, Journal de Radiologie, vol.88, issue.10, p.xix, 2007.

C. Verheyden, E. P. Bouic, and P. Taourel, La sous-estimation dans les résultats des biopsies sous IRM et les recommandations de bonne pratique, Imagerie de la Femme, vol.25, issue.2, pp.109-115, 2015.

B. Godeau, M. T. Caulier, L. Decuypere, A. Schaeffer, and P. Bierling, Traitement du purpura thrombopénique auto-immun de l?adulte par IgIV: résultats intermédiaires d?une étude randomisée multicentrique comparant les doses de 0,5 g/kg et 1 g/kg en vue d?une préparation à une intervention, La Revue de Médecine Interne, vol.18, p.473s, 1997.

, La maîtrise des compétences clésen traitement de l'informationchez les adultes, L'importance des compétences, pp.33-68, 2016.

, Graphique 8. Les retraits de la vie active ont été limités à ce jour, sauf en ce qui concerne les jeunes et les peu qualifiés

, P013bis Étude Du Rendement Et De L'activité Des Facteurs De Coagulation Après Traitement Du Plasma Par Le Système Intercept Dans Trois Centres De Transfusion Européens, Transfusion Clinique et Biologique, vol.12, p.S62, 2005.

L. L'âge and . Score, Graphique 5.6. Ce sont la Chine et la Turquie qui ont le plus accru leurs contributions en valeur nominale lors de la 17ème reconstitution des ressources de l?IDA

, Résultats, évaluation et apprentissage de la Suisse, Examens de l'OCDE sur la coopération pour le développement : Suisse 2019, pp.83-91, 2019.

, Graphique 1.4. Le marché du travail présente des faiblesses structurelles

J. Poumeyrol, Nous avons les coffres, il nous faut les bonnes clés !, Autorités, identifiants, entités, issue.85, p.11, 2017.

E. M. Donaldson, Une évaluation de deux méthodes pour déterminer la teneur en indium dans les minerais, les concentrés et les produits de traitement du zinc, soit la spectrophotométrie d'émission atomique et d'absorption atomique à la flamme, 1983.

C. Verheyden, E. P. Bouic, and P. Taourel, La sous-estimation dans les résultats des biopsies sous IRM et les recommandations de bonne pratique, Imagerie de la Femme, vol.25, issue.2, pp.109-115, 2015.

, Les organisations de la société civile rapportent que des consultations ne sont pas systématiquement utilisées pour orienter les politiques nationales de développement, 2019.

, 5.4.2. Réduction de la mortalité à l'hôpital dans les 30 jours après une admission pour AVC ischémique parmi la population âgé de 45 ans et plus, 2001-2011 (ou année la plus proche)

, Les délais requis pour créer une entreprise ont été réduits dans pratiquement tous les États et dans la ville de Mexico, Tous les patients de l'étude THRACE ont reçu une IVT dans les 4 heures et ceux du groupe IVTMT ont reçu une thrombectomie dans les 5 heures suivant les symptômes, 2013.

M. Hennequin, Aspects cliniques et pratiques de la sédation consciente chez les patients ayant des besoins spécifiques, 59ème Congrès de la SFMBCB, 2012.

H. Leclerc, Les malades mentaux doivent-ils être jugés par les médecins ?, Faut-il juger et punir les malades mentaux criminels ?, p.141, 2009.

, Graphique 1.14. Dans les pays de l?OCDE, les femmes ont plus de relations sociales et sont moins susceptibles de décès par suicide ou homicide que les hommes, mais elles gagnent moins et accomplissent plus d?heures de travail non rémunéré

, Composantes des coûts en bien-être de la pollution de l'air extérieur par région, projection centrale, 2016.

A. Ecker, Mémoire pour servir a la connaissance de l'organisation et de la vie de la substance contractile chez les animaux les plus inférieurs /, 1848.

, Croissance du PIB (évolution réelle par rapport à l'année précédente, en pourcentage) et évolution de la contribution de la croissance des revenus du travail au PIB, selon le niveau de formation (2000-10), L'analyse au niveau du voxel pourrait fournir les informations plus en détail par rapport à l'analyse au niveau de régions cérébrales, 2012.

, Tableau 9.5. Le revenu et l?âge sont des déterminants importants de la confiance dans les institutions

P. Mariaux, La Vierge dans l'atelier de Tuotilo. [De l'artiste médiéval considéré comme un « théodidacte »], Revue de l'histoire des religions, vol.218, issue.2, pp.171-193, 2001.

, Une analyse des modéles statistiques du type boltzmann pour les flux de circulation sur plusieurs flies, Transportation Research, vol.3, issue.1, p.xi, 1969.

, 6.15. Mortalité dans les 30 jours suivant une admission à l'hôpital pour AVC ischémique, taux basé sur les données couplées 2010 et 2015 (ou année la plus proche)

, Les organisations de la société civile rapportent que des consultations ne sont pas systématiquement utilisées pour orienter les politiques nationales de développement, 2019.

E. J. Benjamin, S. S. Virani, C. W. Callaway, A. M. Chamberlain, A. R. Chang et al., Correction to: Heart Disease and Stroke Statistics?2018 Update: A Report From the American Heart Association, Circulation, vol.137, issue.12, pp.67-492, 2018.

N. M. Branston, L. Symon, H. A. Crockard, and E. Pasztor, Relationship between the cortical evoked potential and local cortical blood flow following acute middle cerebral artery occlusion in the baboon, Experimental Neurology, vol.45, issue.2, pp.195-208, 1974.

J. Astrup, L. Symon, N. M. Branston, and N. A. Lassen, Cortical evoked potential and extracellular K+ and H+ at critical levels of brain ischemia., Stroke, vol.8, issue.1, pp.51-57, 1977.

W. Heiss, The Ischemic Penumbra: Correlates in Imaging and Implications for Treatment of Ischemic Stroke, Cerebrovascular Diseases, vol.32, issue.4, pp.307-320, 2011.

J. L. Saver, M. Goyal, A. Bonafe, H. Diener, E. I. 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.
URL : https://hal.archives-ouvertes.fr/hal-02007226

T. G. Jovin, A. Chamorro, E. Cobo, M. A. De-miquel, C. A. Molina et al., Thrombectomy within 8 Hours after Symptom Onset in Ischemic Stroke, New England Journal of Medicine, vol.372, issue.24, pp.2296-2306, 2015.

M. Goyal, A. M. Demchuk, B. K. Menon, M. Eesa, J. L. Rempel et al., Randomized Assessment of Rapid Endovascular Treatment of Ischemic Stroke, N Engl J Med, vol.372, issue.11, pp.1019-1049, 2015.

B. C. Campbell, P. J. Mitchell, T. J. Kleinig, H. M. 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.

O. A. Berkhemer, P. Fransen, D. Beumer, L. A. Van-den-berg, H. F. Lingsma et al., A Randomized Trial of Intraarterial Treatment for Acute Ischemic Stroke, N Engl J Med, vol.372, issue.1, pp.11-20, 2015.

S. Bracard, X. Ducrocq, J. L. Mas, M. Soudant, C. Oppenheim et al., Mechanical thrombectomy after intravenous alteplase versus alteplase alone after stroke (THRACE): a randomised controlled trial, The Lancet Neurology, vol.15, issue.11, pp.1138-1147, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01825521

K. W. Muir, G. A. Ford, C. Messow, I. A. Ford, A. Murray et al., Endovascular therapy for acute ischaemic stroke: the Pragmatic Ischaemic Stroke Thrombectomy Evaluation (PISTE) randomised, controlled trial, Journal of Neurology, Neurosurgery & Psychiatry, vol.88, issue.1, pp.38-44, 2016.

J. A. Edlow, Evidence-based guideline: the role of diffusion and perfusion MRI for the diagnosis of acute ischemic stroke: report of the Therapeutics and Technology Subcommittee of the American Academy of Neurology, Neurology, vol.76, issue.23, 2011.

G. W. Albers, M. P. Marks, S. Kemp, S. Christensen, J. P. Tsai et al., Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging, New England Journal of Medicine, vol.378, issue.8, pp.708-718, 2018.

P. W. Schaefer, A. Hassankhani, C. Putman, A. G. Sorensen, L. Schwamm et al., Characterization and Evolution of Diffusion MR Imaging Abnormalities in Stroke Patients Undergoing Intra-Arterial Thrombolysis, Am J Neuroradiol, vol.25, issue.6, pp.951-958, 2004.

M. Labeyrie, G. Turc, A. Hess, P. Hervo, J. Mas et al., Diffusion Lesion Reversal After Thrombolysis, Stroke, vol.43, issue.11, pp.2986-2991, 2012.

N. Nighoghossian, M. Hermier, P. Adeleine, L. Derex, J. F. Dugor et al., Baseline Magnetic Resonance Imaging Parameters and Stroke Outcome in Patients Treated by Intravenous Tissue Plasminogen Activator, Stroke, vol.34, issue.2, pp.458-463, 2003.
URL : https://hal.archives-ouvertes.fr/hal-00427456

S. T. Engelter, J. M. Provenzale, J. R. Petrella, D. M. Delong, and M. J. Alberts, Infarct Volume on Apparent Diffusion Coefficient Maps Correlates with Length of Stay and Outcome after Middle Cerebral Artery Stroke, Cerebrovascular Diseases, vol.15, issue.3, pp.188-191, 2003.

L. Ma, P. Gao, Q. Hu, Y. Lin, L. Jing et al., Effect of baseline magnetic resonance imaging (MRI) apparent diffusion coefficient lesion volume on functional outcome in ischemic stroke, Neurological Research, vol.33, issue.5, pp.494-502, 2011.

J. Olivot, P. J. 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.
URL : https://hal.archives-ouvertes.fr/hal-02395779

P. W. Schaefer, B. Pulli, W. A. Copen, J. A. Hirsch, T. Leslie-mazwi et al., Combining MRI with NIHSS Thresholds to Predict Outcome in Acute Ischemic Stroke: Value for Patient Selection, American Journal of Neuroradiology, vol.36, issue.2, pp.259-264, 2014.

N. Yassi, L. Churilov, B. C. Campbell, G. Sharma, R. Bammer et al., The Association between Lesion Location and Functional Outcome after Ischemic Stroke, International Journal of Stroke, vol.10, issue.8, pp.1270-1276, 2015.

S. Payabvash, S. Taleb, J. C. Benson, and A. M. Mckinney, Acute Ischemic Stroke Infarct Topology: Association with Lesion Volume and Severity of Symptoms at Admission and Discharge, American Journal of Neuroradiology, vol.38, issue.1, pp.58-63, 2016.

P. Bentley, G. Kumar, P. Rinne, S. Buddha, J. Kallingal et al., Lesion locations influencing baseline severity and early recovery in ischaemic stroke, European Journal of Neurology, vol.21, issue.9, pp.1226-1232, 2014.

O. Wu, L. Cloonan, S. J. Mocking, M. J. Bouts, W. A. Copen et al., Role of Acute Lesion Topography in Initial Ischemic Stroke Severity and Long-Term Functional Outcomes, Stroke, vol.46, issue.9, pp.2438-2444, 2015.

B. Cheng, N. D. Forkert, M. Zavaglia, C. C. Hilgetag, A. Golsari et al., Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale, Stroke, vol.45, issue.6, pp.1695-1702, 2014.