Abstract
Recent advances in neuroimaging have demonstrated significant assessment benefits and appropriate triage of patients based on specific clinical and radiological features in the acute stroke setting. Endovascular thrombectomy is arguably the most important aspect of acute stroke management with an extended time window. Imaging-based physiological information may potentially shift the treatment paradigm from a rigid time-based model to a more flexible and individualized, tissue-based approach, increasing the proportion of patients amenable to treatment. Various imaging modalities are routinely used in the diagnosis and management of acute ischemic stroke, including multimodal computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, these imaging methods should provide information beyond the presence or absence of intracranial hemorrhage as well as the presence and extent of the ischemic core, collateral circulation and penumbra in patients with neurological symptoms. Target mismatch may optimize selection of patients with late or unknown symptom onset who would potentially be eligible for revascularization therapy. The purpose of this study was to provide a comprehensive review of the current evidence about efficacy and theoretical basis of present imaging modalities, and explores future directions for imaging in the management of acute ischemic stroke.
Funding source: Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support
Award Identifier / Grant number: 20152528
Funding source: Shanghai Jiao Tong University “Medical and Research” Program
Award Identifier / Grant number: ZH2018ZDA19
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: This research was supported by the Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant (No. 20152528) and Shanghai Jiao Tong University “Medical and Research” Program (ZH2018ZDA19).
Conflict of interest statement: All authors declare there is no conflict of interest of this review.
References
Alberta Stroke Program Early CT Score (ASPECTS): Collateral Scoring on mCTA. Understanding Alberta Stroke Program Early CT Score (ASPECTS), Available at: http://www.aspectsinstroke.com/collateral-scoring/ (Accessed 10 February 2020).Search in Google Scholar
Aksoy, D., Bammer, R., Mlynash, M., Venkatasubramanian, C., Eyngorn, I., Snider, R.W., Gupta, S.N., Narayana, R., Fischbein, N., and Wijman, C.A. (2013). Magnetic resonance imaging profile of blood-brain barrier injury in patients with acute intracerebral hemorrhage. J. Am. Heart Assoc. 2: e000161, https://doi.org/10.1161/jaha.113.000161.Search in Google Scholar
Albers, G.W., Goyal, M., Jahan, R., Bonafe, A., Diener, H.C., Levy, E.I., Pereira, V.M., Cognard, C., Cohen, D.J., Hacke, W., et al.. (2016). Ischemic core and hypoperfusion volumes predict infarct size in SWIFT PRIME. Ann. Neurol. 79: 76–89, https://doi.org/10.1002/ana.24543.Search in Google Scholar
Albers, G.W., Lansberg, M.G., Kemp, S., Tsai, J.P., Lavori, P., Christensen, S., Mlynash, M., Kim, S., Hamilton, S., Yeatts, S.D., et al.. (2017). A multicenter randomized controlled trial of endovascular therapy following imaging evaluation for ischemic stroke (DEFUSE 3). Int. J. Stroke 12: 896–905, https://doi.org/10.1177/1747493017701147.Search in Google Scholar
Albers, G.W., Marks, M.P., Kemp, S., Christensen, S., Tsai, J.P., Ortega-Gutierrez, S., McTaggart, R.A., Torbey, M.T., Kim-Tenser, M., Leslie-Mazwi, T., et al.. (2018). Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N. Engl. J. Med. 378: 708–718, https://doi.org/10.1056/nejmoa1713973.Search in Google Scholar
Amano, T., Sato, M., Matsumaru, Y., Sakuma, H., Yoda, S., and Hamada, Y. (2017). Intra-arterial contrasted cone-beam computed tomography assessment of vessels distal from occluded site in acute ischemic stroke with major vessel occlusion. Neurol. Med. Chir. (Tokyo) 57: 292–298, https://doi.org/10.2176/nmc.tn.2016-0291.Search in Google Scholar
An, H., Liu, Q., Chen, Y., Vo, K.D., Ford, A.L., Lee, J.M., and Lin, W. (2012). Oxygen metabolism in ischemic stroke using magnetic resonance imaging. Transl. Stroke Res. 3: 65–75, https://doi.org/10.1007/s12975-011-0141-x.Search in Google Scholar
Bang, O.Y., Saver, J.L., Buck, B.H., Alger, J.R., Starkman, S., Ovbiagele, B., Kim, D., Jahan, R., Duckwiler, G.R., Yoon, S.R., et al.. (2008). Impact of collateral flow on tissue fate in acute ischaemic stroke. J. Neurol. Neurosurg. Psychiatry 79: 625–629, https://doi.org/10.1136/jnnp.2007.132100.Search in Google Scholar
Bang, O.Y., Saver, J.L., Kim, S.J., Kim, G.M., Chung, C.S., Ovbiagele, B., Lee, K.H., and Liebeskind, D.S. (2011). Collateral flow predicts response to endovascular therapy for acute ischemic stroke. Stroke 42: 693–699, doi:https://doi.org/10.1161/STROKEAHA.110.595256.Search in Google Scholar
Bannasch, S., Frysch, R., Pfeiffer, T., Warnecke, G., and Rose, G. (2018). Time separation technique: accurate solution for 4D C-Arm-CT perfusion imaging using a temporal decomposition model. Med. Phys. 45: 1080–1092, https://doi.org/10.1002/mp.12768.Search in Google Scholar
Berkhemer, O.A., Fransen, P.S.S., Beumer, D., van den Berg, L.A., Lingsma, H.F., Yoo, A.J., Schonewille, W.J., Vos, J.A., Nederkoorn, P.J., Wermer, M.J.H., et al.. (2015). A randomized trial of intraarterial treatment for acute ischemic stroke. N. Engl. J. Med. 372: 11–20, https://doi.org/10.1056/NEJMoa1411587.Search in Google Scholar
Beyer, S.E., von Baumgarten, L., Thierfelder, K.M., Rottenkolber, M., Janssen, H., Dichgans, M., Johnson, T.R., Straube, A., Ertl-Wagner, B., Reiser, M.F., et al.. (2015). Predictive value of the velocity of collateral filling in patients with acute ischemic stroke. J. Cereb. Blood Flow Metab. 35: 206–212, https://doi.org/10.1038/jcbfm.2014.182.Search in Google Scholar
Bier, G., Bongers, M.N., Ditt, H., Bender, B., Ernemann, U., and Horger, M. (2016). Enhanced gray-white matter differentiation on non-enhanced CT using a frequency selective non-linear blending. Neuroradiology 58: 649–655, https://doi.org/10.1007/s00234-016-1674-1.Search in Google Scholar
Bivard, A., Kleinig, T., Miteff, F., Butcher, K., Lin, L., Levi, C., and Parsons, M. (2017). Ischemic core thresholds change with time to reperfusion: a case control study. Ann. Neurol. 82: 995–1003, https://doi.org/10.1002/ana.25109.Search in Google Scholar
Bivard, A., Krishnamurthy, V., Stanwell, P., Levi, C., Spratt, N.J., Davis, S., and Parsons, M. (2014). Arterial spin labeling versus bolus-tracking perfusion in hyperacute stroke. Stroke 45: 127–133, https://doi.org/10.1161/strokeaha.113.003218.Search in Google Scholar
Bivard, A., Levi, C., Krishnamurthy, V., McElduff, P., Miteff, F., Spratt, N.J., Bateman, G., Donnan, G., Davis, S., and Parsons, M. (2015). Perfusion computed tomography to assist decision making for stroke thrombolysis. Brain 138: 1919–1931, https://doi.org/10.1093/brain/awv071.Search in Google Scholar
Bivard, A., Levi, C., Spratt, N., and Parsons, M. (2013a). Perfusion CT in acute stroke: a comprehensive analysis of infarct and penumbra. Radiology 267: 543–550, https://doi.org/10.1148/radiol.12120971.Search in Google Scholar
Bivard, A., Stanwell, P., Levi, C., and Parsons, M. (2013b). Arterial spin labeling identifies tissue salvage and good clinical recovery after acute ischemic stroke. J. Neuroimaging 23: 391–396, https://doi.org/10.1111/j.1552-6569.2012.00728.x.Search in Google Scholar
Borst, J., Berkhemer, O.A., Roos, Y.B., van Bavel, E., van Zwam, W.H., van Oostenbrugge, R.J., van Walderveen, M.A., Lingsma, H.F., van der Lugt, A., Dippel, D.W., et al.. (2015). Value of computed tomographic perfusion-based patient selection for intra-arterial acute ischemic stroke treatment. Stroke 46: 3375–3382, https://doi.org/10.1161/STROKEAHA.115.010564.Search in Google Scholar
Boujan, T., Neuberger, U., Pfaff, J., Nagel, S., Herweh, C., Bendszus, M., and Möhlenbruch, M.A. (2018). Value of contrast-enhanced MRA versus time-of-flight MRA in acute ischemic stroke MRI. Am. J. Neuroradiol. 39: 1710–1716, https://doi.org/10.3174/ajnr.a5771.Search in Google Scholar
Campbell, B.C., Christensen, S., Levi, C.R., Desmond, P.M., Donnan, G.A., Davis, S.M., and Parsons, M.W. (2012a). Comparison of computed tomography perfusion and magnetic resonance imaging perfusion-diffusion mismatch in ischemic stroke. Stroke 43: 2648–2653, https://doi.org/10.1161/strokeaha.112.660548.Search in Google Scholar
Campbell, B.C.V., Mitchell, P.J., Kleinig, T.J., Dewey, H.M., Churilov, L., Yassi, N., Yan, B., Dowling, R.J., Parsons, M.W., Oxley, T.J., et al.. (2015). Endovascular therapy for ischemic stroke with perfusion-imaging selection. N. Engl. J. Med. 372: 1009–1018, https://doi.org/10.1056/nejmoa1414792.Search in Google Scholar
Campbell, B.C.V., Purushotham, A., Christensen, S., Desmond, P.M., Nagakane, Y., Parsons, M.W., Lansberg, M.G., Mlynash, M., Straka, M., De Silva, D.A., et al.. (2012b). The infarct core is well represented by the acute diffusion lesion: sustained reversal is infrequent. J. Cereb. Flow Metab. 32: 50–56, https://doi.org/10.1038/jcbfm.2011.102.Search in Google Scholar
Cao, R., Qi, P., Liu, Y., Ma, X., Shen, Z., and Chen, J. (2019). Improving prognostic evaluation by 4D CTA for endovascular treatment in acute ischemic stroke patients: a preliminary study. J. Stroke Cerebrovasc. Dis. 28: 1971–1978, https://doi.org/10.1016/j.jstrokecerebrovasdis.2019.03.038.Search in Google Scholar
Cereda, C.W., Christensen, S., Campbell, B.C.V., Mishra, N.K., Mlynash, M., Levi, C., Straka, M., Wintermark, M., Bammer, R., Albers, G.W., et al.. (2016). A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard. J. Cereb. Blood Flow Metab. 36: 1780–1789, https://doi.org/10.1177/0271678x15610586.Search in Google Scholar
Charidimou, A., Kakar, P., Fox, Z., and Werring, D.J. (2013). Cerebral microbleeds and recurrent stroke risk: systematic review and meta-analysis of prospective ischemic stroke and transient ischemic attack cohorts. Stroke 44: 995–1001, https://doi.org/10.1161/strokeaha.111.000038.Search in Google Scholar
Christensen, S. and Lansberg, M.G. (2019). CT perfusion in acute stroke: practical guidance for implementation in clinical practice. J. Cereb. Blood Flow Metab. 39: 1664–1668. https://doi.org/10.1177/0271678x18805590.Search in Google Scholar
Christoforidis, G.A., Mohammad, Y., Kehagias, D., Avutu, B., and Slivka, A.P. (2005). Angiographic assessment of pial collaterals as a prognostic indicator following intra-arterial thrombolysis for acute ischemic stroke. AJNR Am. J. Neuroradiol. 26: 1789–1797.Search in Google Scholar
d’Esterre, C.D., Boesen, M.E., Ahn, S.H., Pordeli, P., Najm, M., Minhas, P., Davari, P., Fainardi, E., Rubiera, M., Khaw, A.V., et al.. (2015). Time-dependent computed tomographic perfusion thresholds for patients with acute ischemic stroke. Stroke 46: 3390–3397, https://doi.org/10.1161/STROKEAHA.115.009250.Search in Google Scholar
Davis, S., Campbell, B., Christensen, S., Ma, H., Desmond, P., Parsons, M., Levi, C., Bladin, C., Barber, P.A., and Donnan, G. (2012). Perfusion/diffusion mismatch is valid and should be used for selecting delayed interventions. Transl. Stroke Res. 3: 188–197, https://doi.org/10.1007/s12975-012-0167-8.Search in Google Scholar
Davis, S. and Donnan, G.A. (2014). Time is Penumbra: imaging, selection and outcome. The Johann Jacob Wepfer award 2014. Cerebrovasc. Dis. 38: 59–72, https://doi.org/10.1159/000365503.Search in Google Scholar
de Margerie-Mellon, C., Turc, G., Tisserand, M., Naggara, O., Calvet, D., Legrand, L., Meder, J.F., Mas, J.L., Baron, J.C., and Oppenheim, C. (2013). Can DWI-ASPECTS substitute for lesion volume in acute stroke?. Stroke 44: 3565–3567, https://doi.org/10.1161/strokeaha.113.003047.Search in Google Scholar
Derdeyn, C.P., Chimowitz, M.I., Lynn, M.J., Fiorella, D., Turan, T.N., Janis, L.S., Montgomery, J., Nizam, A., Lane, B.F., Lutsep, H.L., et al.. (2014). Aggressive medical treatment with or without stenting in high-risk patients with intracranial artery stenosis (SAMMPRIS): the final results of a randomised trial. Lancet 383: 333–341, https://doi.org/10.1016/s0140-6736(13)62038-3.Search in Google Scholar
Dieleman, N., Yang, W., Abrigo, J.M., Chu, W.C.W., van der Kolk, A.G., Siero, J.C., Wong, K.S., Hendrikse, J., and Chen, X.Y. (2016). Magnetic resonance imaging of plaque morphology, burden, and distribution in patients with symptomatic middle cerebral artery stenosis. Stroke 47: 1797–1802, https://doi.org/10.1161/strokeaha.116.013007.Search in Google Scholar
Ebinger, M., Galinovic, I., Rozanski, M., Brunecker, P., Endres, M., and Fiebach, J.B. (2010). Fluid-attenuated inversion recovery evolution within 12 hours from stroke onset: a reliable tissue clock?. Stroke 41: 250–255, https://doi.org/10.1161/strokeaha.109.568410.Search in Google Scholar
Farzin, B., Fahed, R., Guilbert, F., Poppe, A.Y., Daneault, N., Durocher, A.P., Lanthier, S., Boudjani, H., Khoury, N.N., Roy, D., et al.. (2016). Early CT changes in patients admitted for thrombectomy: intrarater and interrater agreement. Neurology 87: 249–256, https://doi.org/10.1212/wnl.0000000000002860.Search in Google Scholar
Fransen, P.S.S., Berkhemer, O.A., Lingsma, H.F., Beumer, D., van den Berg, L.A., Yoo, A.J., Schonewille, W.J., Vos, J.A., Nederkoorn, P.J., Wermer, M.J.H., et al.. (2016). Time to reperfusion and treatment effect for acute ischemic stroke a randomized clinical trial. JAMA Neurol. 73: 190–196, https://doi.org/10.1001/jamaneurol.2015.3886.Search in Google Scholar
Furlan, A.J. (2006). Time is brain. Stroke 37: 2863–2864, https://doi.org/10.1161/01.str.0000251852.07152.63.Search in Google Scholar
Ganguly, A., Fieselmann, A., Marks, M., Rosenberg, J., Boese, J., Deuerling-Zheng, Y., Straka, M., Zaharchuk, G., Bammer, R., and Fahrig, R. (2011). Cerebral CT perfusion using an interventional C-Arm imaging system: cerebral blood flow measurements. Am. J. Neuroradiol. 32: 1525, https://doi.org/10.3174/ajnr.a2518.Search in Google Scholar
Gonzalez, R.G. (2006). Imaging-guided acute ischemic stroke therapy: from "time is brain" to "physiology is brain. Am. J. Neuroradiol. 27: 728–735.10.1007/3-540-30810-5Search in Google Scholar
Goyal, M., Demchuk, A.M., Menon, B.K., Eesa, M., Rempel, J.L., Thornton, J., Roy, D., Jovin, T.G., Willinsky, R.A., Sapkota, B.L., et al.. (2015). Randomized assessment of rapid endovascular treatment of ischemic stroke. N. Engl. J. Med. 372: 1019–1030, https://doi.org/10.1056/nejmoa1414905.Search in Google Scholar
Goyal, M., Jadhav, A.P., Bonafe, A., Diener, H., Mendes Pereira, V., Levy, E., Baxter, B., Jovin, T., Jahan, R., Menon, B.K., et al.. (2016a). Analysis of workflow and time to treatment and the effects on outcome in endovascular treatment of acute ischemic stroke: results from the SWIFT PRIME randomized controlled trial. Radiology 279: 888–897, https://doi.org/10.1148/radiol.2016160204.Search in Google Scholar
Goyal, M., Menon, B.K., van Zwam, W.H., Dippel, D.W.J., Mitchell, P.J., Demchuk, A.M., Davalos, A., Majoie, C.B.L.M., van der Lugt, A., de Miquel, M.A., et al.. (2016b). Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet 387: 1723–1731, https://doi.org/10.1016/s0140-6736(16)00163-x.Search in Google Scholar
Hacke, W., Kaste, M., Bluhmki, E., Brozman, M., Davalos, A., Guidetti, D., Larrue, V., Lees, K.R., Medeghri, Z., Machnig, T., et al.. (2008). Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke. N. Engl. J. Med. 359: 1317–1329, https://doi.org/10.1056/nejmoa0804656.Search in Google Scholar
Heit, J.J. and Wintermark, M. (2016). Perfusion computed tomography for the evaluation of acute ischemic stroke strengths and pitfalls. Stroke 47: 1153–1158, https://doi.org/10.1161/strokeaha.116.011873.Search in Google Scholar
Hermitte, L., Cho, T.H., Ozenne, B., Nighoghossian, N., Mikkelsen, I.K., Ribe, L., Baron, J.C., Ostergaard, L., Derex, L., Hjort, N., et al.. (2013). Very low cerebral blood volume predicts parenchymal hematoma in acute ischemic stroke. Stroke 44: 2318–2320, https://doi.org/10.1161/strokeaha.113.001751.Search in Google Scholar
Hernandez-Perez, M., Puig, J., Blasco, G., Perez de la Ossa, N., Dorado, L., Davalos, A., and Munuera, J. (2016). Dynamic magnetic resonance angiography provides collateral circulation and hemodynamic information in acute ischemic stroke. Stroke 47: 531–534, https://doi.org/10.1161/strokeaha.115.010748.Search in Google Scholar
Higashida, R.T., Furlan, A.J., Roberts, H., Tomsick, T., Connors, B., Barr, J., Dillon, W., Warach, S., Broderick, J., Tilley, B., et al.. (2003). Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke. Stroke 34: e109–137, https://doi.org/10.1161/01.str.0000082721.62796.09.Search in Google Scholar
Hixson, H.R., Leiva-Salinas, C., Sumer, S., Patrie, J., Xin, W., and Wintermark, M. (2016). Utilizing dual energy CT to improve CT diagnosis of posterior fossa ischemia. J. Neuroradiol. 43: 346–352, https://doi.org/10.1016/j.neurad.2016.04.001.Search in Google Scholar
Hoving, J.W., Marquering, H.A., Majoie, C., Yassi, N., Sharma, G., Liebeskind, D.S., van der Lugt, A., Roos, Y.B., van Zwam, W., van Oostenbrugge, R.J., et al.. (2018). Volumetric and spatial accuracy of computed tomography perfusion estimated ischemic core volume in patients with acute ischemic stroke. Stroke 49: 2368–2375, https://doi.org/10.1161/strokeaha.118.020846.Search in Google Scholar
Jansen, I.G., Mulder, M.J., Goldhoorn, R.B., Boers, A.M., van Es, A.C., Yo, L.S., Hofmeijer, J., Martens, J.M., van Walderveen, M.A., van der Kallen, B.F., et al.. (2019). Impact of single phase CT angiography collateral status on functional outcome over time: results from the MR CLEAN Registry. J. Neurointerv. Surg. 11: 866–873, https://doi.org/10.1136/neurintsurg-2018-014619.Search in Google Scholar
Jezzard, P., Chappell, M.A., and Okell, T.W. (2018). Arterial spin labeling for the measurement of cerebral perfusion and angiography. J. Cereb. Blood Flow Metab. 38: 603–626, https://doi.org/10.1177/0271678x17743240.Search in Google Scholar
Jovin, T.G., Chamorro, A., Cobo, E., de Miquel, M.A., Molina, C.A., Rovira, A., San Roman, L., Serena, J., Abilleira, S., Ribo, M., et al.. (2015). Thrombectomy within 8 hours after symptom onset in ischemic stroke. N. Engl. J. Med. 372: 2296–2306, https://doi.org/10.1056/nejmoa1503780.Search in Google Scholar
Khandelwal, P., Yavagal, D.R., and Sacco, R.L. (2016). Acute ischemic stroke intervention. J. Am. Coll. Cardiol. 67: 2631–2644, https://doi.org/10.1016/j.jacc.2016.03.555.Search in Google Scholar
Kim, J.-M., Jung, K.-H., Sohn, C.-H., Moon, J., Shin, J.-H., Park, J., Lee, S.-H., Han, M.H., and Roh, J.-K. (2016a). Intracranial plaque enhancement from high resolution vessel wall magnetic resonance imaging predicts stroke recurrence. Int. J. Stroke 11: 171–179, https://doi.org/10.1177/1747493015609775.Search in Google Scholar
Kim, S.K., Yoon, W., Park, M.S., Heo, T.W., Baek, B.H., and Lee, Y.Y. (2016b). Outcomes are not different between patients with intermediate and high DWI-ASPECTS after stent-retriever embolectomy for acute anterior circulation stroke. Am. J. Neuroradiol. 37: 1080–1085, https://doi.org/10.3174/ajnr.a4663.Search in Google Scholar
Kobkitsuksakul, C., Tritanon, O., and Suraratdecha, V. (2018). Interobserver agreement between senior radiology resident, neuroradiology fellow, and experienced neuroradiologist in the rating of Alberta Stroke Program Early Computed Tomography Score (ASPECTS). Diagn. Interv. Radiol. 24: 104–107, https://doi.org/10.5152/dir.2018.17336.Search in Google Scholar
Kortman, H.G., Smit, E.J., Oei, M.T., Manniesing, R., Prokop, M., and Meijer, F.J. (2015). 4D-CTA in neurovascular disease: a review. Am. J. Neuroradiol. 36: 1026–1033, https://doi.org/10.3174/ajnr.a4162.Search in Google Scholar
Kucinski, T., Koch, C., Eckert, B., Becker, V., Kromer, H., Heesen, C., Grzyska, U., Freitag, H.J., Rother, J., and Zeumer, H. (2003). Collateral circulation is an independent radiological predictor of outcome after thrombolysis in acute ischaemic stroke. Neuroradiology 45: 11–18, https://doi.org/10.1007/s00234-002-0881-0.Search in Google Scholar
Lansberg, M.G., Cereda, C.W., Mlynash, M., Mishra, N.K., Inoue, M., Kemp, S., Christensen, S., Straka, M., Zaharchuk, G., Marks, M.P., et al.. (2015). Response to endovascular reperfusion is not time-dependent in patients with salvageable tissue. Neurology 85: 708–714, https://doi.org/10.1212/wnl.0000000000001853.Search in Google Scholar
Lassalle, L., Turc, G., Tisserand, M., Charron, S., Roca, P., Lion, S., Legrand, L., Edjlali, M., Naggara, O., Meder, J.-F., et al.. (2016). ASPECTS (Alberta Stroke Program Early CT Score) assessment of the perfusion-diffusion mismatch. Stroke 47: 2553–2558, https://doi.org/10.1161/strokeaha.116.013676.Search in Google Scholar
Legrand, L., Tisserand, M., Turc, G., Edjlali, M., Calvet, D., Trystram, D., Roca, P., Naggara, O., Mas, J.-L., Méder, J.-F., et al.. (2016). Fluid-attenuated inversion recovery vascular hyperintensities-diffusion-weighted imaging mismatch identifies acute stroke patients most likely to benefit from recanalization. Stroke 47: 424–427, https://doi.org/10.1161/strokeaha.115.010999.Search in Google Scholar
Leng, X., Lan, L., Liu, L., Leung, T.W., and Wong, K.S. (2016). Good collateral circulation predicts favorable outcomes in intravenous thrombolysis: a systematic review and meta-analysis. Eur. J. Neurol. 23: 1738–1749, https://doi.org/10.1111/ene.13111.Search in Google Scholar
Li, Y., Xia, Y., Chen, H., Liu, N., Jackson, A., Wintermark, M., Zhang, Y., Hu, J., Wu, B., Zhang, W., et al.. (2017). Focal low and global high permeability predict the possibility, risk, and location of hemorrhagic transformation following intra-arterial thrombolysis therapy in acute stroke. Am. J. Neuroradiol. 38: 1730–1736, https://doi.org/10.3174/ajnr.a5287.Search in Google Scholar
Lin, L., Bivard, A., Kleinig, T., Spratt, N.J., Levi, C.R., Yang, Q., and Parsons, M.W. (2018). Correction for delay and dispersion results in more accurate cerebral blood flow ischemic core measurement in acute stroke. Stroke 49: 924–930, https://doi.org/10.1161/strokeaha.117.019562.Search in Google Scholar
Lin, L., Bivard, A., Krishnamurthy, V., Levi, C.R., and Parsons, M.W. (2016). Whole-brain CT perfusion to quantify acute ischemic penumbra and core. Radiology 279: 876–887, https://doi.org/10.1148/radiol.2015150319.Search in Google Scholar
Liu, C., Li, W., Tong, K.A., Yeom, K.W., and Kuzminski, S. (2015). Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J. Magn. Reson. Imaging 42: 23–41, https://doi.org/10.1002/jmri.24768.Search in Google Scholar
Liu, S., Luo, Y., Wang, C., Tang, R., Sheng, Z., Xie, W., Chai, S., Guo, Y., Chai, C., Yang, Q., et al.. (2020). Combination of plaque characteristics, pial collaterals, and hypertension contributes to misery perfusion in patients with symptomatic middle cerebral artery stenosis. J. Magn. Reson. Imaging 51: 195–204, doi:https://doi.org/10.1002/jmri.26778.Search in Google Scholar
Lövblad, K.-O. and Baird, A.E. (2010). Computed tomography in acute ischemic stroke. Neuroradiology 52: 175–187, https://doi.org/10.1007/s00234-009-0633-5.Search in Google Scholar
Luo, S., Yang, L., and Luo, Y. (2018). Susceptibility-weighted imaging predicts infarct size and early-stage clinical prognosis in acute ischemic stroke. Neurol. Sci. 39: 1049–1055, https://doi.org/10.1007/s10072-018-3324-3.Search in Google Scholar
Ma, H., Parsons, M.W., Christensen, S., Campbell, B.C.V., Churilov, L., Connelly, A., Yan, B., Bladin, C., Phan, T., Barber, A.P., et al.. (2012). A multicentre, randomized, double-blinded, placebo-controlled Phase III study to investigate EXtending the time for Thrombolysis in Emergency Neurological Deficits (EXTEND). Int. J. Stroke 7: 74–80, https://doi.org/10.1111/j.1747-4949.2011.00730.x.Search in Google Scholar
Ma, H., Wright, P., Allport, L., Phan, T.G., Churilov, L., Ly, J., Zavala, J.A., Arakawa, S., Campbell, B., Davis, S.M., et al.. (2015). Salvage of the PWI/DWI mismatch up to 48 h from stroke onset leads to favorable clinical outcome. Int. J. Stroke 10: 565–570, https://doi.org/10.1111/ijs.12203.Search in Google Scholar
Maas, M.B., Lev, M.H., Ay, H., Singhal, A.B., Greer, D.M., Smith, W.S., Harris, G.J., Halpern, E., Kemmling, A., Koroshetz, W.J., et al.. (2009). Collateral vessels on CT angiography predict outcome in acute ischemic stroke. Stroke 40: 3001–3005, https://doi.org/10.1161/strokeaha.109.552513.Search in Google Scholar
Maegerlein, C., Fischer, J., Monch, S., Berndt, M., Wunderlich, S., Seifert, C.L., Lehm, M., Boeckh-Behrens, T., Zimmer, C., and Friedrich, B. (2019). Automated calculation of the alberta stroke program early CT score: feasibility and reliability. Radiology 291: 141–148, https://doi.org/10.1148/radiol.2019181228.Search in Google Scholar
Mair, G., Boyd, E.V., Chappell, F.M., von Kummer, R., Lindley, R.I., Sandercock, P., and Wardlaw, J.M. (2015). Sensitivity and specificity of the hyperdense artery sign for arterial obstruction in acute ischemic stroke. Stroke 46: 102–107, https://doi.org/10.1161/strokeaha.114.007036.Search in Google Scholar
Martinon, E., Lefevre, P.H., Thouant, P., Osseby, G.V., Ricolfi, F., and Chavent, A. (2014). Collateral circulation in acute stroke: assessing methods and impact: a literature review. J. Neuroradiol. 41: 97–107, https://doi.org/10.1016/j.neurad.2014.02.001.Search in Google Scholar
Maurer, C.J., Egger, K., Dempfle, A.K., Reinhard, M., Meckel, S., and Urbach, H. (2016). Facing the time window in acute ischemic stroke: the infarct core. Clin. Radiol. 26: 153–158, https://doi.org/10.1007/s00062-016-0501-8.Search in Google Scholar
McKinley, R., Hani, L., Gralla, J., El-Koussy, M., Bauer, S., Arnold, M., Fischer, U., Jung, S., Mattmann, K., Reyes, M., et al.. (2017). Fully automated stroke tissue estimation using random forest classifiers (FASTER). J. Cereb. Blood Flow Metab. 37: 2728–2741, https://doi.org/10.1177/0271678x16674221.Search in Google Scholar
McTaggart, R.A., Jovin, T.G., Lansberg, M.G., Mlynash, M., Jayaraman, M.V., Choudhri, O.A., Inoue, M., Marks, M.P., and Albers, G.W. (2015). Alberta stroke program early computed tomographic scoring performance in a series of patients undergoing computed tomography and MRI: reader agreement, modality agreement, and outcome prediction. Stroke 46: 407–412. https://doi.org/10.1161/strokeaha.114.006564.Search in Google Scholar
McVerry, F., Liebeskind, D.S., and Muir, K.W. (2012). Systematic review of methods for assessing leptomeningeal collateral flow. Am. J. Neuroradiol. 33: 576–582, https://doi.org/10.3174/ajnr.a2794.Search in Google Scholar
Menon, B.K., Qazi, E., Nambiar, V., Foster, L.D., Yeatts, S.D., Liebeskind, D., Jovin, T.G., Goyal, M., Hill, M.D., Tomsick, T.A., et al.. (2015). Differential effect of baseline computed tomographic angiography collaterals on clinical outcome in patients enrolled in the interventional management of stroke III trial. Stroke 46: 1239–1244, https://doi.org/10.1161/strokeaha.115.009009.Search in Google Scholar
Menon, B.K., Smith, E.E., Coutts, S.B., Welsh, D.G., Faber, J.E., Goyal, M., Hill, M.D., Demchuk, A.M., Damani, Z., Cho, K.-H., et al.. (2013). Leptomeningeal collaterals are associated with modifiable metabolic risk factors. Ann. Neurol. 74: 241–248, https://doi.org/10.1002/ana.23906.Search in Google Scholar
Menon, B.K., Smith, E.E., Modi, J., Patel, S.K., Bhatia, R., Watson, T.W., Hill, M.D., Demchuk, A.M., and Goyal, M. (2011). Regional leptomeningeal score on CT angiography predicts clinical and imaging outcomes in patients with acute anterior circulation occlusions. Am. J. Neuroradiol. 32: 1640–1645, https://doi.org/10.3174/ajnr.a2564.Search in Google Scholar
Mishra, N.K., Albers, G.W., Davis, S.M., Donnan, G.A., Furlan, A.J., Hacke, W., and Lees, K.R. (2010). Mismatch-based delayed thrombolysis: a meta-analysis. Stroke 41: e25–e33, https://doi.org/10.1161/strokeaha.109.566869.Search in Google Scholar
Miteff, F., Levi, C.R., Bateman, G.A., Spratt, N., McElduff, P., and Parsons, M.W. (2009). The independent predictive utility of computed tomography angiographic collateral status in acute ischaemic stroke. Brain 132: 2231–2238, https://doi.org/10.1093/brain/awp155.Search in Google Scholar
Mokin, M., Levy, E.I., Saver, J.L., Siddiqui, A.H., Goyal, M., Bonafe, A., Cognard, C., Jahan, R., and Albers, G.W. (2017). Predictive value of RAPID assessed perfusion thresholds on final infarct volume in SWIFT PRIME (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment). Stroke 48: 932–938, https://doi.org/10.1161/strokeaha.116.015472.Search in Google Scholar
Nael, K., Khan, R., Choudhary, G., Meshksar, A., Villablanca, P., Tay, J., Drake, K., Coull, B.M., and Kidwell, C.S. (2014). Six-minute magnetic resonance imaging protocol for evaluation of acute ischemic stroke: pushing the boundaries. Stroke 45: 1985–1991, https://doi.org/10.1161/strokeaha.114.005305.Search in Google Scholar
Nagakane, Y., Christensen, S., Brekenfeld, C., Ma, H., Churilov, L., Parsons, M.W., Levi, C.R., Butcher, K.S., Peeters, A., Barber, P.A., et al.. (2011). EPITHET: positive result after reanalysis using baseline diffusion-weighted imaging/perfusion-weighted imaging co-registration. Stroke 42: 59–64, https://doi.org/10.1161/strokeaha.110.580464.Search in Google Scholar
Nogueira, R.G., Jadhav, A.P., Haussen, D.C., Bonafe, A., Budzik, R.F., Bhuva, P., Yavagal, D.R., Ribo, M., Cognard, C., Hanel, R.A., et al.. (2018). Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N. Engl. J. Med. 378: 11–21, https://doi.org/10.1056/NEJMoa1706442.Search in Google Scholar
Oczkowski, W.J. and Barreca, S. (1997). Neural network modeling accurately predicts the functional outcome of stroke survivors with moderate disabilities. Arch. Phys. Med. Rehabil. 78: 340–345, https://doi.org/10.1016/s0003-9993(97)90222-7.Search in Google Scholar
Olivot, J.-M., and Albers, G.W. (2011). Diffusion-perfusion MRI for triaging transient ischemic attack and acute cerebrovascular syndromes. Curr. Opin. Neurol. 24: 44–49, https://doi.org/10.1097/wco.0b013e328341f8a5.Search in Google Scholar
Olivot, J.M., Sissani, L., Meseguer, E., Inoue, M., Labreuche, J., Mlynash, M., Amarenco, P., and Mazighi, M. (2016). Impact of initial diffusion-weighted imaging lesion growth rate on the success of endovascular reperfusion therapy. Stroke 47: 2305–2310, https://doi.org/10.1161/strokeaha.116.013916.Search in Google Scholar
Payabvash, S., Benson, J.C., Taleb, S., Rykken, J.B., Hoffman, B., McKinney, A.M., and Oswood, M.C. (2017). Susceptible vessel sign: identification of arterial occlusion and clinical implications in acute ischaemic stroke. Clin. Radiol. 72: 116–122, https://doi.org/10.1016/j.crad.2016.11.001.Search in Google Scholar
Pomerantz, S.R., Kamalian, S., Zhang, D., Gupta, R., Rapalino, O., Sahani, D.V., and Lev, M.H. (2013). Virtual monochromatic reconstruction of dual-energy unenhanced head CT at 65–75 keV maximizes image quality compared with conventional polychromatic CT. Radiology 266: 318–325, https://doi.org/10.1148/radiol.12111604.Search in Google Scholar
Powers, W.J., Rabinstein, A.A., Ackerson, T., Adeoye, O.M., Bambakidis, N.C., Becker, K., Biller, J., Brown, M., Demaerschalk, B.M., Hoh, B., et al.. (2019). Guidelines for the early management of patients with acute ischemic stroke: 2019 update to the 2018 guidelines for the early management of acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 50: e344–e418, https://doi.org/10.1161/str.0000000000000211.Search in Google Scholar
Qazi, E., Al-Ajlan, F.S., Najm, M., and Menon, B.K. (2016). The role of vascular imaging in the initial assessment of patients with acute ischemic stroke. Curr. Neurol. Neurosci. Rep. 16, https://doi.org/10.1007/s11910-016-0632-y.Search in Google Scholar
Reena Benjamin, J. and Jayasree, T. (2018). Improved medical image fusion based on cascaded PCA and shift invariant wavelet transforms. Int. J. Comput. Assist. Radiol. Surg. 13: 229–240, https://doi.org/10.1007/s11548-017-1692-4.Search in Google Scholar
Reidler, P., Thierfelder, K.M., Rotkopf, L.T., Fabritius, M.P., Puhr-Westerheide, D., Dorn, F., Forkert, N.D., Kemmling, A., and Kunz, W.G. (2019). Attenuation changes in ASPECTS regions: a surrogate for CT perfusion-based ischemic core in acute ischemic stroke. Radiology 291: 451–458, https://doi.org/10.1148/radiol.2019182041.Search in Google Scholar
Reimer, J., Montag, C., Schuster, A., Moeller-Hartmann, W., Sobesky, J., Heiss, W.D., and Zaro-Weber, O. (2018). Is perfusion MRI without deconvolution reliable for mismatch detection in acute stroke? Validation with 15O-positron emission tomography. Cerebrovasc. Dis. 46: 16–23, https://doi.org/10.1159/000490424.Search in Google Scholar
Roberts, H.C., Dillon, W.P., Furlan, A.J., Wechsler, L.R., Rowley, H.A., Fischbein, N.J., Higashida, R.T., Kase, C., Schulz, G.A., Lu, Y., et al.. (2002). Computed tomographic findings in patients undergoing intra-arterial thrombolysis for acute ischemic stroke due to middle cerebral artery occlusion: results from the PROACT II trial. Stroke 33: 1557–1565, https://doi.org/10.1161/01.str.0000018011.66817.41.Search in Google Scholar
Röther, J., Schellinger, P.D., Gass, A., Siebler, M., Villringer, A., Fiebach, J.B., Fiehler, J., Jansen, O., Kucinski, T., Schoder, V., et al.. (2002). Effect of intravenous thrombolysis on MRI parameters and functional outcome in acute stroke <6 hours. Stroke 33: 2438–2445, https://doi.org/10.1161/01.str.0000030109.12281.23.Search in Google Scholar
Saver, J.L., Goyal, M., Bonafe, A., Diener, H.C., Levy, E.I., Pereira, V.M., Albers, G.W., Cognard, C., Cohen, D.J., Hacke, W., et al.. (2015). Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N. Engl. J. Med. 372: 2285–2295, https://doi.org/10.1056/nejmoa1415061.Search in Google Scholar
Scalzo, F., Nour, M., and Liebeskind, D.S. (2015). Data science of stroke imaging and enlightenment of the penumbra. Front. Neurol. 6: 8, https://doi.org/10.3389/fneur.2015.00008.Search in Google Scholar
Seker, F., Potreck, A., Mohlenbruch, M., Bendszus, M., and Pham, M. (2016). Comparison of four different collateral scores in acute ischemic stroke by CT angiography. J. Neurointerv. Surg. 8: 1116–1118, https://doi.org/10.1136/neurintsurg-2015-012101.Search in Google Scholar
Shams, S., Martola, J., Cavallin, L., Granberg, T., Shams, M., Aspelin, P., Wahlund, L., and Kristoffersen-Wiberg, M. (2015). SWI or T2*: which MRI sequence to use in the detection of cerebral microbleeds? The Karolinska Imaging Dementia Study. Am. J. Neuroradiol. 36: 1089–1095, https://doi.org/10.3174/ajnr.a4248.Search in Google Scholar
Simonsen Claus, Z., Madsen Mette, H., Schmitz Marie, L., Mikkelsen Irene, K., Fisher, M., and Andersen, G. (2015). Sensitivity of diffusion- and perfusion-weighted imaging for diagnosing acute ischemic stroke is 97.5%. Stroke 46: 98–101, https://doi.org/10.1161/STROKEAHA.114.007107.Search in Google Scholar
Somford, D.M., Nederkoorn, P.J., Rutgers, D.R., Kappelle, L.J., Mali, W.P., and van der Grond, J. (2002). Proximal and distal hyperattenuating middle cerebral artery signs at CT: different prognostic implications. Radiology 223: 667–671, https://doi.org/10.1148/radiol.2233011017.Search in Google Scholar
Souza, L.C., Yoo, A.J., Chaudhry, Z.A., Payabvash, S., Kemmling, A., Schaefer, P.W., Hirsch, J.A., Furie, K.L., Gonzalez, R.G., Nogueira, R.G., et al.. (2012). Malignant CTA collateral profile is highly specific for large admission DWI infarct core and poor outcome in acute stroke. Am. J. Neuroradiol. 33: 1331–1336, https://doi.org/10.3174/ajnr.a2985.Search in Google Scholar
Stier, N., Vincent, N., Liebeskind, D., and Scalzo, F. (2015). Deep learning of tissue fate features in acute ischemic stroke. Proc. IEEE Int. Conf. Bioinformatics Biomed. 2015: 1316–1321, https://doi.org/10.1109/BIBM.2015.7359869.Search in Google Scholar
Su, J., Wolff, L., Es, A.C.G.M.V., Zwam, W.V., Majoie, C., Dippel, D.W.J., Lugt, A.V.d., Niessen, W., and Walsum, T.V. (2020). Automatic collateral scoring from 3D CTA images. IEEE Trans. Med. Imaging 1: 1.10.1109/TMI.2020.2966921Search in Google Scholar PubMed
Tan, I.Y., Demchuk, A.M., Hopyan, J., Zhang, L., Gladstone, D., Wong, K., Martin, M., Symons, S.P., Fox, A.J., and Aviv, R.I. (2009). CT angiography clot burden score and collateral score: correlation with clinical and radiologic outcomes in acute middle cerebral artery infarct. Am. J. Neuroradiol. 30: 525–531, https://doi.org/10.3174/ajnr.a1408.Search in Google Scholar
Tan, J.C., Dillon, W.P., Liu, S., Adler, F., Smith, W.S., and Wintermark, M. (2007). Systematic comparison of perfusion-CT and CT-angiography in acute stroke patients. Ann. Neurol. 61: 533–543, https://doi.org/10.1002/ana.21130.Search in Google Scholar
Telischak, N.A., Detre, J.A., and Zaharchuk, G. (2015). Arterial spin labeling MRI: clinical applications in the brain. J. Magn. Reson. Imaging 41: 1165–1180, https://doi.org/10.1002/jmri.24751.Search in Google Scholar
Thomalla, G., Cheng, B., Ebinger, M., Hao, Q., Tourdias, T., Wu, O., Kim, J.S., Breuer, L., Singer, O.C., and Warach, S. (2011). DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4–5 h of symptom onset (PRE-FLAIR): a multicentre observational study. Lancet Neurol. 10: 978–986, https://doi.org/10.1016/s1474-4422(11)70192-2.Search in Google Scholar
Thomalla, G., Simonsen, C.Z., Boutitie, F., Andersen, G., Berthezene, Y., Cheng, B., Cheripelli, B., Cho, T.-H., Fazekas, F., Fiehler, J., et al.. (2018). MRI-guided thrombolysis for stroke with unknown time of onset. N. Engl. J. Med. 379: 611–622, https://doi.org/10.1056/nejmoa1804355.Search in Google Scholar
Tipirneni-Sajja, A., Christensen, S., Straka, M., Inoue, M., Lansberg, M.G., Mlynash, M., Bammer, R., Parsons, M.W., Donnan, G.A., Davis, S.M., et al.. (2017). Prediction of final infarct volume on subacute MRI by quantifying cerebral edema in ischemic stroke. J. Cereb. Blood Flow Metab. 37: 3077–3084, https://doi.org/10.1177/0271678x16683960.Search in Google Scholar
Topcuoglu, M.A., Arsava, E.M., and Akpinar, E. (2015). Clot characteristics on computed tomography and response to thrombolysis in acute middle cerebral artery stroke. J. Stroke Cerebrovasc. Dis. 24: 1363–1372, https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.02.017.Search in Google Scholar
Tsang, A.C.O., Lenck, S., Hilditch, C., Nicholson, P., Brinjikji, W., Krings, T., Pereira, V.M., Silver, F.L., and Schaafsma, J.D. (2018). Automated CT perfusion imaging versus non-contrast CT for ischemic core assessment in large vessel occlusion. Clin. Neuroradiol. 30: 109–114, https://doi.org/10.1007/s00062-018-0745-6.Search in Google Scholar
Tsumoto, T., Tsurusaki, Y., and Tokunaga, S. (2017). Interaction between the stent strut and thrombus characterized by contrast-enhanced high-resolution cone beam CT during deployment of the Solitaire stent retriever. J. Neurointerv. Surg. 9: 843, https://doi.org/10.1136/neurintsurg-2016-012492.Search in Google Scholar
Turan, T.N., Bonilha, L., Morgan, P.S., Adams, R.J., and Chimowitz, M.I. (2011). Intraplaque hemorrhage in symptomatic intracranial atherosclerotic disease. J. Neuroimaging 21: e159–e161, https://doi.org/10.1111/j.1552-6569.2009.00442.x.Search in Google Scholar
Vagal, A., Foster, L.D., Menon, B., Livorine, A., Shi, J., Qazi, E., Yeatts, S.D., Demchuk, A.M., Hill, M.D., Tomsick, T.A., et al.. (2016). Multimodal CT imaging: time to treatment and outcomes in the IMS III trial. Am. J. Neuroradiol. 37: 1393–1398, https://doi.org/10.3174/ajnr.a4751.Search in Google Scholar
Vagal, A., Wintermark, M., Nael, K., Bivard, A., Parsons, M., Grossman, A.W., and Khatri, P. (2019). Automated CT perfusion imaging for acute ischemic stroke: pearls and pitfalls for real-world use. Neurology 93: 888–898, https://doi.org/10.1212/WNL.0000000000008481.Search in Google Scholar
van Laar, P.J., van der Grond, J., and Hendrikse, J. (2008). Brain perfusion territory imaging: methods and clinical applications of selective arterial spin-labeling MR imaging. Radiology 246: 354–364, https://doi.org/10.1148/radiol.2462061775.Search in Google Scholar
Vilela, P. and Rowley, H.A. (2017). Brain ischemia: CT and MRI techniques in acute ischemic stroke. Eur. J. Radiol. 96: 162–172, https://doi.org/10.1016/j.ejrad.2017.08.014.Search in Google Scholar
Villringer, K., Sanz Cuesta, B.E., Ostwaldt, A.C., Grittner, U., Brunecker, P., Khalil, A.A., Schindler, K., Eisenblatter, O., Audebert, H., and Fiebach, J.B. (2017). DCE-MRI blood-brain barrier assessment in acute ischemic stroke. Neurology 88: 433–440, https://doi.org/10.1212/wnl.0000000000003566.Search in Google Scholar
Wardlaw, J.M. and Mielke, O. (2005). Early signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment – systematic review. Radiology 235: 444–453, https://doi.org/10.1148/radiol.2352040262.Search in Google Scholar
Wildermuth, S., Knauth, M., Brandt, T., Winter, R., Sartor, K., and Hacke, W. (1998). Role of CT angiography in patient selection for thrombolytic therapy in acute hemispheric stroke. Stroke 29: 935–938, https://doi.org/10.1161/01.str.29.5.935.Search in Google Scholar
Xiong, Y., Zhang, Z., He, L., Ma, Y., Han, H., Zhao, X., and Guo, H. (2019). Intracranial simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP) MRA: analyzation, optimization, and extension for dynamic MRA. Magn. Reson. Med. 82: 1646–1659, https://doi.org/10.1002/mrm.27855.Search in Google Scholar
Yeo, L.L., Paliwal, P., Teoh, H.L., Seet, R.C., Chan, B.P., Ting, E., Venketasubramanian, N., Leow, W.K., Wakerley, B., Kusama, Y., et al.. (2015). Assessment of intracranial collaterals on CT angiography in anterior circulation acute ischemic stroke. Am. J. Neuroradiol. 36: 289–294, https://doi.org/10.3174/ajnr.a4117.Search in Google Scholar
Zaro-Weber, O., Fleischer, H., Reiblich, L., Schuster, A., Moeller-Hartmann, W., and Heiss, W.D. (2019). Penumbra detection in acute stroke with perfusion magnetic resonance imaging: validation with 15O-positron emission tomography. Ann. Neurol. 85: 875–886, https://doi.org/10.1002/ana.25479.Search in Google Scholar
Zaro-Weber, O., Moeller-Hartmann, W., Siegmund, D., Kandziora, A., Schuster, A., Heiss, W.D., and Sobesky, J. (2017). MRI-based mismatch detection in acute ischemic stroke: optimal PWI maps and thresholds validated with PET. J. Cereb. Blood Flow Metab. 37: 3176–3183, https://doi.org/10.1177/0271678x16685574.Search in Google Scholar
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