J Clin Neurol.  2009 Sep;5(3):107-119. 10.3988/jcn.2009.5.3.107.

Multimodal MRI for Ischemic Stroke: From Acute Therapy to Preventive Strategies

Affiliations
  • 1Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. nmboy@unitel.co.kr

Abstract

BACKGROUND AND PURPOSE
Conventional therapies for ischemic stroke include thrombolytic therapy, prevention of inappropriate coagulation and thrombosis, and surgery to repair vascular abnormalities. Over 10 years have passed since the US Food and Drug Administration approved intravenous tissue plasminogen activator for use in acute stroke patients, but most major clinical trials have failed during the last 2 decades, including large clinical trials for secondary prevention and neuroprotection. These results suggest the presence of heterogeneity among stroke patients. Neuroimaging techniques now allow changes to be observed in patients from the acute to the recovery phase. The role of MRI in stroke evaluation and treatment is discussed herein. MAIN CONTENTS: Three MRI strategies are discussed with relevant examples. First, the following MRI strategies for acute ischemic stroke are presented: diffusion-perfusion mismatch, deoxygenation (oxygen extraction and cerebral metabolic rate of oxygen), and blood-brain barrier permeability derangement in selected patients for recanalization therapy. Second, multimodal MRI for identifying stroke mechanisms and the specific causes of stroke (i.e., patent foramen ovale, infective endocarditis, and nonbacterial thrombotic endocarditis) are presented, followed by MRI strategies for prevention of recurrent stroke: plaque images and flow dynamics for carotid intervention. EXPECTATIONS: The studies reviewed herein suggest that using MRI to improve the understanding of individual pathophysiologies will further promote the development of rational stroke therapies tailored to the specifics of each case.

Keyword

atherosclerosis; stroke; perfusion; personalized treatment; MRI

MeSH Terms

Atherosclerosis
Blood-Brain Barrier
Endocarditis
Foramen Ovale, Patent
Humans
Neuroimaging
Perfusion
Permeability
Population Characteristics
Secondary Prevention
Stroke
Thrombolytic Therapy
Thrombosis
Tissue Plasminogen Activator
United States Food and Drug Administration
Tissue Plasminogen Activator

Figure

  • Fig. 1 Pretreatment DWI and PWI findings and final DWI findings of three patients with the target mismatch pattern (a PWI lesion that was ≥10 mL and ≥120% of the DWI lesion). A: Patients showing a favorable clinical response and no infarct growth after complete recanalization. B: Patients with good collaterals, showing minimal or no marked infarct growth after recanalization. C: Infarct growth was observed in patients with poor recanalization, despite recanalization. Figure modified from Bang et al.29 DWI: diffusion-weighted imaging, PWI: perfusion-weighted imaging, TTP: time to peak.

  • Fig. 2 DWI performed 4 h after symptom onset, disclosing multiple acute cortical and basal ganglia infarcts. A more extensive perfusion abnormality with mismatch was noted throughout the right middle cerebral artery (MCA) bed. However, CBV sustained the ischemic regions, and hypointense leptomeningeal and periventricular vessels were observed on GRE imaging. Recanalization with intra-arterial thrombolysis at 6 h resulted in complete reperfusion. No new lesions developed, as observed on the 90th day FLAIR imaging. Figure modified from Bang et al.103 DWI: diffusion-weighted imaging, CBV: cerebral blood volume, GRE: gradient-echo, FLAIR: fluid-attenuated inversion recovery.

  • Fig. 3 DWI (A) and PWI (B) findings of a patient who exhibited the no-match pattern (a PWI volume <120% of the DWI lesion volume). The lesion was located on a relatively silent brain area. (C) Relationship between the number of patients with mismatch and the odds of a favorable clinical response following early reperfusion, and the mismatch ratio (the volume ratio of Tmax ≥2 s over the DWI lesion).49 DWI: diffusion-weighted imaging, PWI: perfusion-weighted imaging.

  • Fig. 4 A case showing the malignant profile on baseline MRI (a DWI lesion ≥100 mL and/or a PWI lesion of Tmax delay ≥8 s and ≥100 mL). A: DWI performed 1 h after symptom onset, disclosing small acute cortical and basal ganglia infarcts. B: A more extensive perfusion abnormality with severe delay (Tmax ≥8 s, >100 mL) was noted throughout the right MCA distribution. C: Pretreatment permeability slope image showing breakdown of the BBB. The white line delineates the slope of increasing Gd concentration after bolus passage and expected decreasing concentration during later times. The green line represents the slope of increasing Gd concentration during later times in patients with a dysfunctional BBB. Figure modified from Bang et al.62 D: The patient showed clinical worsening with hemorrhagic transformation during follow-up. DWI: diffusion-weighted imaging, PWI: perfusion-weighted imaging, BBB: blood-brain barrier, MCA: middle cerebral artery, Gd: gadolinium.

  • Fig. 5 A case of multiple small infarcts within multiple vascular territories, suggesting cardioembolism or other causes. A transesophageal echocardiogram revealed mobile thrombi on the heart valve. A nodular lesion was found on chest examination, and the final diagnosis was established as nonbacterial thrombotic endocarditis caused by non-small-cell lung cancer. A: DWI, ADC, and T2-weighted images showing cerebral infarcts of varying ages, which suggest very active early recurrence over time and portends a high risk of further ischemic events.73 The patient was treated with anticoagulation. B: Signal intensities of different MRI parameters vary differently after the onset of ischemic stroke. DWI: diffusion-weighted imaging, ADC: apparent diffusion coefficient.

  • Fig. 6 Three cases with small, deep infarcts. A: Small, deep infarcts suggesting lacunar stroke, but MRA revealed MCA atherosclerosis, suggesting the presence of mural thrombi occluding the orifices of the lenticulostriate arteries. B: A relatively large, deep infarct but normal parent arteries, suggesting common trunk occlusion. High-resolution MRA (7.0 T) showing an example of four lenticulostriate arteries branching from a single trunk of the left MCA. Figure modified from Cho et al.83 C: A patient with previous lacunar stroke who developed pseudobulbar palsy during aggressive antiplatelet and anticoagulation therapy. DWI was negative, but GRE imaging showed multiple microbleeds in the bilateral basal ganglia and thalamus, and periventricular leukoariosis. MCA: middle cerebral artery, MRA: magnetic resonance angiography, DWI: diffusion-weighted imaging, GRE: gradient-echo.

  • Fig. 7 A case with carotid atherosclerosis. A: CT angiogram showing a stenotic lesion at the carotid bifurcation, as a result of an atherosclerotic plaque (low-density area) with surrounding foci of calcification. B: T1-weighted image obtained 7 and 14 min after administration of 0.2 mmol Gd/kg of Gd-diethylenetriamine penta-acetic acid (Gd-DTPA) in a human carotid artery (at 1.5 T). Following injection of Gd-DTPA, the necrotic lipid core and fibrous cap are clearly identified relative to the precontrast images. Figure from Briley-Saebo et al.86 C: MRI measurement of the wall shear stress vectors in normal subjects. The shape and location of wall surfaces that are subject to low wall shear stress differ from subject to subject. Figure modified from Zhao et al.100,102 Gd: gadolinium.


Cited by  4 articles

Will Molecular Optical Imaging Have Clinically Important Roles in Stroke Management, and How?
Dong Kun Lee, Matthias Nahrendorf, Dawid Schellingerhout, Dong-Eog Kim
J Clin Neurol. 2010;6(1):10-18.    doi: 10.3988/jcn.2010.6.1.10.

Cost-Effectiveness of Recombinant Tissue Plasminogen Activator in the Management of Acute Ischemic Stroke: A Systematic Review
Kee-Taig Jung, Dong Wook Shin, Kyung-Jin Lee, Myungju Oh
J Clin Neurol. 2010;6(3):117-126.    doi: 10.3988/jcn.2010.6.3.117.

Ischemic Stroke and Cancer: Stroke Severely Impacts Cancer Patients, While Cancer Increases the Number of Strokes
Oh Young Bang, Jin Myoung Seok, Seon Gyeong Kim, Ji Man Hong, Hahn Young Kim, Jun Lee, Pil-Wook Chung, Kwang-Yeol Park, Gyeong-Moon Kim, Chin-Sang Chung, Kwang Ho Lee
J Clin Neurol. 2011;7(2):53-59.    doi: 10.3988/jcn.2011.7.2.53.

Temporal Changes in Care Processes and Outcomes for Endovascular Treatment of Acute Ischemic Stroke: Retrospective Registry Data from Three Korean Centers
Jin Soo Lee, Seong-Joon Lee, Ji Man Hong, Jin Wook Choi, Jeong-Ho Hong, Hyuk-Won Chang, Chang-Hyun Kim, Yong-Won Kim, Dong-Hun Kang, Yong-Sun Kim, Bruce Ovbiagele, Andrew M. Demchuk, Yang-Ha Hwang, Sung-Il Sohn
Neurointervention. 2018;13(1):2-12.    doi: 10.5469/neuroint.2018.13.1.2.


Reference

1. Chimowitz MI, Lynn MJ, Howlett-Smith H, Stern BJ, Hertzberg VS, Frankel MR, et al. Comparison of warfarin and aspirin for symptomatic intracranial arterial stenosis. N Engl J Med. 2005. 352:1305–1316.
Article
2. Bhatt DL, Fox KA, Hacke W, Berger PB, Black HR, Boden WE, et al. Clopidogrel and aspirin versus aspirin alone for the prevention of atherothrombotic events. N Engl J Med. 2006. 354:1706–1717.
Article
3. Adams HP Jr, Effron MB, Torner J, Dávalos A, Frayne J, Teal P, et al. Emergency administration of abciximab for treatment of patients with acute ischemic stroke: results of an international phase III trial: Abciximab in Emergency Treatment of Stroke Trial (AbESTT-II). Stroke. 2008. 39:87–99.
Article
4. Shuaib A, Lees KR, Lyden P, Grotta J, Davalos A, Davis SM, et al. NXY-059 for the treatment of acute ischemic stroke. N Engl J Med. 2007. 357:562–571.
Article
5. Caplan LR. Evidence based medicine: concerns of a clinical neurologist. J Neurol Neurosurg Psychiatry. 2001. 71:569–574.
Article
6. McAlister FA, Straus SE, Guyatt GH, Haynes RB. Evidence-Based Medicine Working Group. Users' guides to the medical literature: XX. Integrating research evidence with the care of the individual patient. JAMA. 2000. 283:2829–2836.
7. Cook RJ, Sackett DL. The number needed to treat: a clinically useful measure of treatment effect. BMJ. 1995. 310:452–454.
Article
8. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. Tissue plasminogen activator for acute ischemic stroke. N Engl J Med. 1995. 333:1581–1587.
9. Saver JL. Number needed to treat estimates incorporating effects over the entire range of clinical outcomes: novel derivation method and application to thrombolytic therapy for acute stroke. Arch Neurol. 2004. 61:1066–1070.
10. Saver JL. Hemorrhage after thrombolytic therapy for stroke: the clinically relevant number needed to harm. Stroke. 2007. 38:2279–2283.
11. Fierz W. Challenge of personalized health care: to what extent is medicine already individualized and what are the future trends? Med Sci Monit. 2004. 10:RA111–RA123.
12. Donnan GA, Davis SM. Neuroimaging, the ischaemic penumbra, and selection of patients for acute stroke therapy. Lancet Neurol. 2002. 1:417–425.
Article
13. Tanne D, Bates VE, Verro P, Kasner SE, Binder JR, Patel SC, et al. Initial clinical experience with IV tissue plasminogen activator for acute ischemic stroke: a multicenter survey. The t-PA Stroke Survey Group. Neurology. 1999. 53:424–427.
Article
14. Clark WM, Wissman S, Albers GW, Jhamandas JH, Madden KP, Hamilton S. Recombinant tissue-type plasminogen activator (Alteplase) for ischemic stroke 3 to 5 hours after symptom onset. The ATLANTIS Study: a randomized controlled trial. Alteplase Thrombolysis for Acute Noninterventional Therapy in Ischemic Stroke. JAMA. 1999. 282:2019–2026.
Article
15. Hacke W, Donnan G, Fieschi C, Kaste M, von Kummer R, Broderick JP, et al. Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials. Lancet. 2004. 363:768–774.
Article
16. Marler JR, Tilley BC, Lu M, Brott TG, Lyden PC, Grotta JC, et al. Early stroke treatment associated with better outcome: the NINDS rt-PA stroke study. Neurology. 2000. 55:1649–1655.
Article
17. Adams HP Jr, del Zoppo G, Alberts MJ, Bhatt DL, Brass L, Furlan A, et al. Guidelines for the early management of adults with ischemic stroke: a guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the Atherosclerotic Peripheral Vascular Disease and Quality of Care Outcomes in Research Interdisciplinary Working Groups: the American Academy of Neurology affirms the value of this guideline as an educational tool for neurologists. Stroke. 2007. 38:1655–1711.
Article
18. Lindsberg PJ, Häppölä O, Kallela M, Valanne L, Kuisma M, Kaste M. Door to thrombolysis: ER reorganization and reduced delays to acute stroke treatment. Neurology. 2006. 67:334–336.
Article
19. Molina CA, Saver JL. Extending reperfusion therapy for acute ischemic stroke: emerging pharmacological, mechanical, and imaging strategies. Stroke. 2005. 36:2311–2320.
Article
20. Heiss WD, Sobesky J, Smekal Uv, Dohmen C, Neveling M, Lackner K. Penumbra and irreversible damage in acute ischemic stroke: comparison of diffusion- and perfusion-weighted mangetic resonance imaging and positron emission tomography. Ann Neurol. 2002. 52:S24.
21. Darby DG, Barber PA, Gerraty RP, Desmond PM, Yang Q, Parsons M, et al. Pathophysiological topography of acute ischemia by combined diffusion-weighted and perfusion MRI. Stroke. 1999. 30:2043–2052.
Article
22. Hacke W, Albers G, Al-Rawi Y, Bogousslavsky J, Davalos A, Eliasziw M, et al. The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): a phase II MRI-based 9-hour window acute stroke thrombolysis trial with intravenous desmoteplase. Stroke. 2005. 36:66–73.
Article
23. Furlan AJ, Eyding D, Albers GW, Al-Rawi Y, Lees KR, Rowley HA, et al. Dose Escalation of Desmoteplase for Acute Ischemic Stroke (DEDAS): evidence of safety and efficacy 3 to 9 hours after stroke onset. Stroke. 2006. 37:1227–1231.
Article
24. Hjort N, Butcher K, Davis SM, Kidwell CS, Koroshetz WJ, Röther J, et al. Magnetic resonance imaging criteria for thrombolysis in acute cerebral infarct. Stroke. 2005. 36:388–397.
Article
25. Köhrmann M, Jüttler E, Fiebach JB, Huttner HB, Siebert S, Schwark C, et al. MRI versus CT-based thrombolysis treatment within and beyond the 3 h time window after stroke onset: a cohort study. Lancet Neurol. 2006. 5:661–667.
Article
26. Kidwell CS, Alger JR, Saver JL. Beyond mismatch: evolving paradigms in imaging the ischemic penumbra with multimodal magnetic resonance imaging. Stroke. 2003. 34:2729–2735.
27. Albers GW, Thijs VN, Wechsler L, Kemp S, Schlaug G, Skalabrin E, et al. Magnetic resonance imaging profiles predict clinical response to early reperfusion: the diffusion and perfusion imaging evaluation for understanding stroke evolution (DEFUSE) study. Ann Neurol. 2006. 60:508–517.
Article
28. Olivot JM, Mlynash M, Thijs VN, Kemp S, Lansberg MG, Wechsler L, et al. Relationships between infarct growth, clinical outcome, and early recanalization in diffusion and perfusion imaging for understanding stroke evolution (DEFUSE). Stroke. 2008. 39:2257–2263.
Article
29. Bang OY, Saver JL, Buck BH, Alger JR, Starkman S, Ovbiagele B, et al. Impact of collateral flow on tissue fate in acute ischaemic stroke. J Neurology Neurosurg psychiatry. 2008. 79:625–629.
Article
30. Liebeskind DS. Collateral circulation. Stroke. 2003. 34:2279–2284.
Article
31. Christoforidis GA, Mohammad Y, Kehagias D, Avutu B, Slivka AP. Angiographic assessment of pial collaterals as a prognostic indicator following intra-arterial thrombolysis for acute ischemic stroke. AJNR Am J Neuroradiol. 2005. 26:1789–1797.
32. Christensen S, Calamante F, Hjort N, Wu O, Blankholm AD, Desmond P, et al. Inferring origin of vascular supply from tracer arrival timing patterns using bolus tracking MRI. J Magn Reson Imaging. 2008. 27:1371–1381.
Article
33. Bang OY, Saver JL, Alger JR, Starkman S, Ovbiagele B, Liebeskind DS. UCLA Collateral Investigators. Determinants of the distribution and severity of hypoperfusion in patients with ischemic stroke. Neurology. 2008. 71:1804–1811.
Article
34. Kim SJ, Seok JM, Bang OY, Kim GM, Kim KH, Jeon P, et al. MR mismatch profiles in patients with intracranial atherosclerotic stroke: a comprehensive approach comparing stroke subtypes. J Cereb Blood Flow Metab. 2009. 29:1138–1145.
Article
35. Heiss WD. Ischemic penumbra: evidence from functional imaging in man. J Cereb Blood Flow Metab. 2000. 20:1276–1293.
Article
36. Tamura H, Hatazawa J, Toyoshima H, Shimosegawa E, Okudera T. Detection of deoxygenation-related signal change in acute ischemic stroke patients by T2*-weighted magnetic resonance imaging. Stroke. 2002. 33:967–971.
Article
37. Baron JC, Bousser MG, Rey A, Guillard A, Comar D, Castaigne P. Reversal of focal "misery-perfusion syndrome" by extra-intracranial arterial bypass in hemodynamic cerebral ischemia. A case study with 15O positron emission tomography. Stroke. 1981. 12:454–459.
Article
38. Hermier M, Nighoghossian N. Contribution of susceptibility-weighted imaging to acute stroke assessment. Stroke. 2004. 35:1989–1994.
Article
39. Lee JM, Vo KD, An H, Celik A, Lee Y, Hsu CY, et al. Magnetic resonance cerebral metabolic rate of oxygen utilization in hyperacute stroke patients. Ann Neurol. 2003. 53:227–232.
Article
40. Hermier M, Nighoghossian N, Derex L, Wiart M, Nemoz C, Berthezéne Y, et al. Hypointense leptomeningeal vessels at T2*-weighted MRI in acute ischemic stroke. Neurology. 2005. 65:652–653.
Article
41. Roussel SA, van Bruggen N, King MD, Gadian DG. Identification of collaterally perfused areas following focal cerebral ischemia in the rat by comparison of gradient echo and diffusion-weighted MRI. J Cereb Blood Flow Metab. 1995. 15:578–586.
Article
42. Gröhn OH, Lukkarinen JA, Oja JM, van Zijl PC, Ulatowski JA, Traystman RJ, et al. Noninvasive detection of cerebral hypoperfusion and reversible ischemia from reductions in the magnetic resonance imaging relaxation time, T2. J Cereb Blood Flow Metab. 1998. 18:911–920.
Article
43. Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A. 1990. 87:9868–9872.
Article
44. Geisler BS, Brandhoff F, Fiehler J, Saager C, Speck O, Röther J, et al. Blood-oxygen-level-dependent MRI allows metabolic description of tissue at risk in acute stroke patients. Stroke. 2006. 37:1778–1784.
Article
45. Hermier M, Nighoghossian N, Derex L, Adeleine P, Wiart M, Berthezéne Y, et al. Hypointense transcerebral veins at T2*-weighted MRI: a marker of hemorrhagic transformation risk in patients treated with intravenous tissue plasminogen activator. J Cereb Blood Flow Metab. 2003. 23:1362–1370.
Article
46. Marchal G, Beaudouin V, Rioux P, de la Sayette V, Le Doze F, Viader F, et al. Prolonged persistence of substantial volumes of potentially viable brain tissue after stroke: a correlative PET-CT study with voxel-based data analysis. Stroke. 1996. 27:599–606.
Article
47. Kane I, Carpenter T, Chappell F, Rivers C, Armitage P, Sandercock P, et al. Comparison of 10 different magnetic resonance perfusion imaging processing methods in acute ischemic stroke: effect on lesion size, proportion of patients with diffusion/perfusion mismatch, clinical scores, and radiologic outcomes. Stroke. 2007. 38:3158–3164.
Article
48. Wu O, Koroshetz WJ, Ostergaard L, Buonanno FS, Copen WA, Gonzalez RG, et al. Predicting tissue outcome in acute human cerebral ischemia using combined diffusion- and perfusion-weighted MR imaging. Stroke. 2001. 32:933–942.
Article
49. Kakuda W, Lansberg MG, Thijs VN, Kemp SM, Bammer R, Wechsler LR, et al. Optimal definition for PWI/DWI mismatch in acute ischemic stroke patients. J Cereb Blood Flow Metab. 2008. 28:887–891.
Article
50. Toth G, Albers GW. Use of MRI to Estimate the Therapeutic Window in Acute Stroke: is perfusion-weighted imaging/diffusion-weighted imaging mismatch an EPITHET for salvageable ischemic brain tissue? Stroke. 2009. 40:333–335.
Article
51. Kidwell CS, Chalela JA, Saver JL, Starkman S, Hill MD, Demchuk AM, et al. Comparison of MRI and CT for detection of acute intracerebral hemorrhage. JAMA. 2004. 292:1823–1830.
Article
52. Singer OC, Humpich MC, Fiehler J, Albers GW, Lansberg MG, Kastrup A, et al. Risk for symptomatic intracerebral hemorrhage after thrombolysis assessed by diffusion-weighted magnetic resonance imaging. Ann Neurol. 2008. 63:52–60.
Article
53. Selim M, Fink JN, Kumar S, Caplan LR, Horkan C, Chen Y, et al. Predictors of hemorrhagic transformation after intravenous recombinant tissue plasminogen activator: prognostic value of the initial apparent diffusion coefficient and diffusion-weighted lesion volume. Stroke. 2002. 33:2047–2052.
Article
54. Alsop DC, Makovetskaya E, Kumar S, Selim M, Schlaug G. Markedly reduced apparent blood volume on bolus contrast magnetic resonance imaging as a predictor of hemorrhage after thrombolytic therapy for acute ischemic stroke. Stroke. 2005. 36:746–750.
Article
55. Neumann-Haefelin T, Hoelig S, Berkefeld J, Fiehler J, Gass A, Humpich M, et al. Leukoaraiosis is a risk factor for symptomatic intracerebral hemorrhage after thrombolysis for acute stroke. Stroke. 2006. 37:2463–2466.
Article
56. Kim EY, Na DG, Kim SS, Lee KH, Ryoo JW, Kim HK. Prediction of hemorrhagic transformation in acute ischemic stroke: role of diffusion-weighted imaging and early parenchymal enhancement. AJNR Am J Neuroradiol. 2005. 26:1050–1055.
57. Latour LL, Kang DW, Ezzeddine MA, Chalela JA, Warach S. Early blood-brain barrier disruption in human focal brain ischemia. Ann Neurol. 2004. 56:468–477.
Article
58. Nagaraja TN, Nagesh V, Ewing JR, Whitton PA, Fenstermacher JD, Knight RA. Step-down infusions of Gd-DTPA yield greater contrast-enhanced magnetic resonance images of BBB damage in acute stroke than bolus injections. Magn Reson Imaging. 2007. 25:311–318.
Article
59. Provenzale JM, Wang GR, Brenner T, Petrella JR, Sorensen AG. Comparison of permeability in high-grade and low-grade brain tumors using dynamic susceptibility contrast MR imaging. AJR Am J Roentgenol. 2002. 178:711–716.
Article
60. Cha S, Yang L, Johnson G, Lai A, Chen MH, Tihan T, et al. Comparison of microvascular permeability measurements, K(trans), determined with conventional steady-state T1-weighted and first-pass T2*-weighted MR imaging methods in gliomas and meningiomas. AJNR Am J Neuroradiol. 2006. 27:409–417.
61. Kassner A, Roberts T, Taylor K, Silver F, Mikulis D. Prediction of hemorrhage in acute ischemic stroke using permeability MR imaging. AJNR Am J Neuroradiol. 2005. 26:2213–2217.
62. Bang OY, Buck BH, Saver JL, Alger JR, Yoon SR, Starkman S, et al. Prediction of hemorrhagic transformation after recanalization therapy using T2*-permeability magnetic resonance imaging. Ann Neurol. 2007. 62:170–176.
Article
63. Lin K, Kazmi KS, Law M, Babb J, Peccerelli N, Pramanik BK. Measuring elevated microvascular permeability and predicting hemorrhagic transformation in acute ischemic stroke using first-pass dynamic perfusion CT imaging. AJNR Am J Neuroradiol. 2007. 28:1292–1298.
Article
64. Bang OY, Saver JL, Alger JR, Shah SH, Buck BH, Starkman S, et al. Patterns and predictors of blood-brain barrier permeability derangements in acute ischemic stroke. Stroke. 2009. 40:454–461.
Article
65. Lev MH. CT/NIHSS mismatch for detection of salvageable brain in acute stroke triage beyond the 3-hour time window: overrated or undervalued? Stroke. 2007. 38:2028–2029.
Article
66. Hillis AE, Gold L, Kannan V, Cloutman L, Kleinman JT, Newhart M, et al. Site of the ischemic penumbra as a predictor of potential for recovery of functions. Neurology. 2008. 71:184–189.
Article
67. Lee LJ, Kidwell CS, Alger J, Starkman S, Saver JL. Impact on stroke subtype diagnosis of early diffusion-weighted magnetic resonance imaging and magnetic resonance angiography. Stroke. 2000. 31:1081–1089.
Article
68. Roh JK, Kang DW, Lee SH, Yoon BW, Chang KH. Significance of acute multiple brain infarction on diffusion-weighted imaging. Stroke. 2000. 31:688–694.
Article
69. Bang OY, Lee PH, Heo KG, Joo US, Yoon SR, Kim SY. Specific DWI lesion patterns predict prognosis after acute ischaemic stroke within the MCA territory. J Neurol Neurosurg Psychiatry. 2005. 76:1222–1228.
Article
70. Fisher M, Albers GW. Applications of diffusion-perfusion magnetic resonance imaging in acute ischemic stroke. Neurology. 1999. 52:1750–1756.
Article
71. Kimura K, Minematsu K, Koga M, Arakawa R, Yasaka M, Yamagami H, et al. Microembolic signals and diffusion-weighted MR imaging abnormalities in acute ischemic stroke. AJNR Am J Neuroradiol. 2001. 22:1037–1042.
72. Lansberg MG, Thijs VN, O'Brien MW, Ali JO, de Crespigny AJ, Tong DC, et al. Evolution of apparent diffusion coefficient, diffusion-weighted, and T2-weighted signal intensity of acute stroke. AJNR Am J Neuroradiol. 2001. 22:637–644.
73. Sylaja PN, Coutts SB, Subramaniam S, Hill MD, Eliasziw M, Demchuk AM. VISION Study Group. Acute ischemic lesions of varying ages predict risk of ischemic events in stroke/TIA patients. Neurology. 2007. 68:415–419.
Article
74. Klein I, Iung B, Wolff M, Brochet E, Longuet P, Laissy JP, et al. Silent T2* cerebral microbleeds: a potential new imaging clue in infective endocarditis. Neurology. 2007. 68:2043.
Article
75. Singhal AB, Topcuoglu MA, Buonanno FS. Acute ischemic stroke patterns in infective and nonbacterial thrombotic endocarditis: a diffusion-weighted magnetic resonance imaging study. Stroke. 2002. 33:1267–1273.
Article
76. Jauss M, Wessels T, Trittmacher S, Allendörfer J, Kaps M. Embolic lesion pattern in stroke patients with patent foramen ovale compared with patients lacking an embolic source. Stroke. 2006. 37:2159–2161.
Article
77. Hayashida K, Fukuchi K, Inubushi M, Fukushima K, Imakita S, Kimura K. Embolic distribution through patent foramen ovale demonstrated by (99m)Tc-MAA brain SPECT after Valsalva radionuclide venography. J Nucl Med. 2001. 42:859–863.
78. Bang OY, Heo JH, Kim JY, Park JH, Huh K. Middle cerebral artery stenosis is a major clinical determinant in striatocapsular small, deep infarction. Arch Neurol. 2002. 59:259–263.
Article
79. Bang OY, Joo SY, Lee PH, Joo US, Lee JH, Joo IS, et al. The course of patients with lacunar infarcts and a parent arterial lesion: similarities to large artery vs small artery disease. Arch Neurol. 2004. 61:514–519.
Article
80. Cho AH, Kang DW, Kwon SU, Kim JS. Is 15 mm size criterion for lacunar infarction still valid? A study on strictly subcortical middle cerebral artery territory infarction using diffusion-weighted MRI. Cerebrovasc Dis. 2007. 23:14–19.
Article
81. Bang OY, Yeo SH, Yoon JH, Seok JI, Sheen SS, Yoon SR, et al. Clinical MRI cutoff points for predicting lacunar stroke may not exist: need for a grading rather than a dichotomizing system. Cerebrovasc Dis. 2007. 24:520–529.
Article
82. Ay H, Furie KL, Singhal A, Smith WS, Sorensen AG, Koroshetz WJ. An evidence-based causative classification system for acute ischemic stroke. Ann Neurol. 2005. 58:688–697.
Article
83. Cho ZH, Kang CK, Han JY, Kim SH, Kim KN, Hong SM, et al. Observation of the lenticulostriate arteries in the human brain in vivo using 7.0T MR angiography. Stroke. 2008. 39:1604–1606.
Article
84. Jackson C, Sudlow C. Comparing risks of death and recurrent vascular events between lacunar and non-lacunar infarction. Brain. 2005. 128:2507–2517.
Article
85. Kato H, Izumiyama M, Izumiyama K, Takahashi A, Itoyama Y. Silent cerebral microbleeds on T2*-weighted MRI: correlation with stroke subtype, stroke recurrence, and leukoaraiosis. Stroke. 2002. 33:1536–1540.
86. Briley-Saebo KC, Mulder WJ, Mani V, Hyafil F, Amirbekian V, Aguinaldo JG, et al. Magnetic resonance imaging of vulnerable atherosclerotic plaques: current imaging strategies and molecular imaging probes. J Magn Reson Imaging. 2007. 26:460–479.
Article
87. Cai JM, Hatsukami TS, Ferguson MS, Small R, Polissar NL, Yuan C. Classification of human carotid atherosclerotic lesions with in vivo multicontrast magnetic resonance imaging. Circulation. 2002. 106:1368–1373.
Article
88. Saam T, Ferguson MS, Yarnykh VL, Takaya N, Xu D, Polissar NL, et al. Quantitative evaluation of carotid plaque composition by in vivo MRI. Arterioscler Thromb Vasc Biol. 2005. 25:234–239.
Article
89. Choudhury RP, Fuster V, Badimon JJ, Fisher EA, Fayad ZA. MRI and characterization of atherosclerotic plaque: emerging applications and molecular imaging. Arterioscler Thromb Vasc Biol. 2002. 22:1065–1074.
90. Sirol M, Itskovich VV, Mani V, Aguinaldo JG, Fallon JT, Misselwitz B, et al. Lipid-rich atherosclerotic plaques detected by gadofluorine-enhanced in vivo magnetic resonance imaging. Circulation. 2004. 109:2890–2896.
Article
91. Kooi ME, Cappendijk VC, Cleutjens KB, Kessels AG, Kitslaar PJ, Borgers M, et al. Accumulation of ultrasmall superparamagnetic particles of iron oxide in human atherosclerotic plaques can be detected by in vivo magnetic resonance imaging. Circulation. 2003. 107:2453–2458.
Article
92. Trivedi RA, Mallawarachi C, U-King-IM JM, Graves MJ, Horsley J, Goddard MJ, et al. Identifying inflamed carotid plaques using in vivo USPIO-enhanced MR imaging to label plaque macrophages. Arterioscler Thromb Vasc Biol. 2006. 26:1601–1606.
Article
93. Malek AM, Alper SL, Izumo S. Hemodynamic shear stress and its role in atherosclerosis. JAMA. 1999. 282:2035–2042.
Article
94. Fuster V, Moreno PR, Fayad ZA, Corti R, Badimon JJ. Atherothrombosis and high-risk plaque: part I: evolving concepts. J Am Coll Cardiol. 2005. 46:937–954.
95. Slager CJ, Wentzel JJ, Gijsen FJ, Thury A, van der Wal AC, Schaar JA, et al. The role of shear stress in the destabilization of vulnerable plaques and related therapeutic implications. Nat Clin Pract Cardiovasc Med. 2005. 2:456–464.
Article
96. Groen HC, Gijsen FJ, van der Lugt A, Ferguson MS, Hatsukami TS, van der Steen AF, et al. Plaque rupture in the carotid artery is localized at the high shear stress region: a case report. Stroke. 2007. 38:2379–2381.
Article
97. Chatzizisis YS, Coskun AU, Jonas M, Edelman ER, Feldman CL, Stone PH. Role of endothelial shear stress in the natural history of coronary atherosclerosis and vascular remodeling: molecular, cellular, and vascular behavior. J Am Coll Cardiol. 2007. 49:2379–2393.
Article
98. Cebral JR, Castro MA, Burgess JE, Pergolizzi RS, Sheridan MJ, Putman CM. Characterization of cerebral aneurysms for assessing risk of rupture by using patient-specific computational hemodynamics models. AJNR Am J Neuroradiol. 2005. 26:2550–2559.
99. Glagov S, Zarins C, Giddens DP, Ku DN. Hemodynamics and atherosclerosis. Insights and perspectives gained from studies of human arteries. Arch Pathol Lab Med. 1988. 112:1018–1031.
100. Zhao SZ, Ariff B, Long Q, Hughes AD, Thom SA, Stanton AV, et al. Inter-individual variations in wall shear stress and mechanical stress distributions at the carotid artery bifurcation of healthy humans. J Biomech. 2002. 35:1367–1377.
Article
101. Papathanasopoulou P, Zhao S, Köhler U, Robertson MB, Long Q, Hoskins P, et al. MRI measurement of time-resolved wall shear stress vectors in a carotid bifurcation model, and comparison with CFD predictions. J Magn Reson Imaging. 2003. 17:153–162.
Article
102. Lee SW, Antiga L, Spence JD, Steinman DA. Geometry of the carotid bifurcation predicts its exposure to disturbed flow. Stroke. 2008. 39:2341–2347.
Article
103. Bang OY, Lee KH, Kim SJ, Liebeskind DS. Benign oligemia despite of a malignant MRI profile in acute ischemic stroke. J Clin Neurol. 2009. In Press.
104. Bang OY. Liebeskind DS, editor. MRI for mismatch, deoxygenation, and blood-brainbarrier derangement in acute ischemic stroke. Therapeutic Strategies in Cerebral Ischemia. Oxford, United Kingdom: Clinical publishing;In press.
Full Text Links
  • JCN
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr