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The most important diagnostic procedures in acute stroke


Authors: MUDr. Michal Reif;  MUDr. David Goldemund;  doc. MUDr. Robert Mikulík, Ph.D.
Authors place of work: Mezinárodní centrum klinického výzkumu (ICRC) a Neurologická klinika FN u sv. Anny v Brně michal. reif@fnusa. cz
Published in the journal: Kardiol Rev Int Med 2013, 15(1): 11-25
Category:

Summary

Stroke is the second leading cause of death and the leading cause of permanent disablement in elderly population worldwide. About 80% of all stroke cases are ischemic due to thrombotic or embolic artery occlusion. The rest of them are caused by hemorrhage. The rapid and precise diagnostic workup is crucial for the most effective treatment choice. The new possibilities of treatment (especially in ischemic stroke) lead to the need of quantitativly and qualitativly better data acquirement mostly from neuroimaging. The detailed knowledge of stroke imaging possibilities is recently necessary for stroke practitioners. This article describes mostly the diagnostic procedures in acute ischemic stroke and intracerebral hemorrage because those are the dominant issue in neurologic stroke care.

Keywords:
stroke – CT – MRI – ultrasound


Zdroje

1. Hurley MC, Soltanolkotabi M, Ansari S. Neuroimaging in acute stroke: choosing the right patient for neurointervention.Tech Vasc Interv Radiol 2012; 15: 19–32.

2. Meyer BC, Hemmen TM, Jackson CM et al. Modified National Institutes of Health stroke scale for use in strokeclinical trials: prospective reliability and validity. Stroke 2002; 33: 1261–1266.

3. Mikulik R, Ribo M, Hill MD et al. CLOTBUST Investigators. Accuracy of serial National Institutes of Health Stroke Scale scores to identify artery status in acute ischemic stroke. Circulation 2007; 115: 2660–2665.

4. Weimar C, König IR, Kraywinkel K et al. Age and National Institutes of Health Stroke Scale score Within 6 Hours After Onset Are Accurate Predictors of Outcome After Cerebral Ischemia: Development and External Validation of Prognostic Models. Stroke 2004; 35: 158–162.

5. Ezzeddine MA, Lev MH, McDonald CT et al. CT angiography with whole brain perfused blood volume imaging: added clinical value in the assessment of acute stroke. Stroke 2002; 33: 959–966.

6. Smith EE, Rosand J, Greenberg SM. Imaging of Hemorrhagic Stroke. Magn Reson Imaging Clin N Am 2006; 14: 127–140.

7. Bergström M, Ericson K, Levander B et al. Variation with time of the attenuation values of intracranial hematomas. J Comput Assist Tomogr 1977; 1: 57–63.

8. Selariu E, Zia E, Brizzi M et al. Swirl sign in intracerebral haemorrhage: definition, prevalence, reliability and prognostic value. BMC Neurology 2012, 12: 109.

9. Broderick JP, Brott TG, Duldner JE et al. Volume of intracerebral hemorrhage. A powerful and easy-to--use predictor of 30-daymortality. Stroke 1993; 24: 987–993.

10. Demchuk AM, Dowlatshahi D, Rodriguez-Luna D et al. PREDICT/Sunnybrook ICH CTA study group. Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT--angiography spot sign (PREDICT): a prospective observational study. Lancet Neurol 2012; 11: 307–314.

11. Kidwell CS, Chalela JA, Saver JL et al. Comparison of MRI and CT for detection of acute intracerebral hemorrhage. JAMA 2004; 292: 1823–1830.

12. Boulanger JM, Coutts SB, Eliasziw M et al. VISION Study Group. Cerebral microhemorrhages predict new disabling or fatal strokes in patients with acute ischemic stroke or transient ischemic attack. Stroke 2006; 37: 911–914.

13. Kucinski T. Unenhanced CT and acute stroke physiology. Neuroimaging Clin N Am 2005; 15: 397–407, xi–xii.

14. Wardlaw JM, Mielke O. Early Signs of brain infarction at CT: observer reliability and outcome after thrombolytic treatment – systematic review. Radiology 2005; 235: 444–453.

15. Lev MH, Farkas J, Gemmete JJ et al. Acute stroke: improved nonenhanced CT detection –benefits of soft-copy interpretation by using variable window width and center level settings. Radiology 1999; 213: 150–155.

16. Derex L, Hermier M, Adeleine P et al. Clinical and imaging predictors of intracerebral haemorrhage in stroke patients treated with intravenous tissue plasminogen activator. J Neurol Neurosurg Psychiatry 2005; 76: 70–75.

17. von Kummer R, Allen KL, Holle R et al. Acute stroke: usefulness of early CT findings before thrombolytic therapy. Radiology 1997; 205: 327–333.

18. Barber PA, Demchuk AM, Zhang J et al. Validity and reliability of a quantitative computed tomography score in predicting outcome of hyperacute stroke before thrombolytic therapy. ASPECTS Study Group. Alberta Stroke Programme Early CT Score. Lancet 2000; 355: 1670–1674.

19. Hill MD, Rowley HA, Adler F et al. PROACT-II Investigators. Selection of acute ischemic stroke pa­tients for intra-arterial thrombolysis with pro-urokinase by using ASPECTS. Stroke 2003; 34: 1925–1931.

20. Sillanpaa N, Rusanen H, Saarinen JT et al. Comparison of 64-row and 16-row multidetector CT in the perfusion CT evaluation of acute ischemic stroke pa­tients receiving intravenous thrombolytic therapy. Neuroradiology 2012; 54: 957–963.

21. Puig J, Pedraza S, Demchuk A et al. Quantification of thrombus hounsfield units on noncontrast CT predictsstroke subtype and early recanalization after intravenous recombinant tissue plasminogen activator. AJNR Am J Neuroradiol 2012; 33: 90–60.

22. Riedel CH, Zimmermann P, Jensen-Kondering U et al. The importance of size: successful recanalization by intravenous thrombolysis in acute anterior stroke depends on thrombus length. Stroke 2011; 42: 1775–1777.

23. Kim EY, Heo JH, Lee SK et al. Prediction of thrombolytic efficacy in acute ischemic stroke using thin section noncontrast CT. Neurology 2006; 67: 1846–1848.

24. Lev MH, Segal AZ, Farkas J et al. Utility of perfusion-weighted CT imaging in acute middle cerebral artery stroke treated with intra-arterial thrombolysis: prediction of final infarct volume and clinical outcome. Stroke 2001; 32: 2021–2028.

25. Wintermark M, Reichhart M, Thiran JP et al. Prognostic accuracy of cerebral blood flow measurement by perfusion computed tomography, at the time of emergency room admission, in acute stroke patients. Ann Neurol 2002; 51: 417–432.

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. Wintermark M, Flanders AE, Velthuis B et al. Perfusion-CT assessment of infarct core and penumbra: receiver operating characteristic curve analysis in 130 patients suspected of acute hemispheric stroke. Stroke 2006; 37: 979–985.

28. Wintermark M, Meuli R, Browaeys P et al. Comparison of CT perfusion and angiography and MRI in selecting stroke patients for acute treatment. Neurology 2007; 68: 694–697.

29. Adams HP Jr, del Zoppo G, Alberts MJ 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. Circulation 2007; 115: e478–e534.

30. Calamante F, Willats L, Gadian DG et al. Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke. Magn Reson Med 2006; 55: 1180–1185.

31. Lev MH, Farkas J, Rodriguez VR et al. CT angiography in the rapid triage of patients with hyperacute stroke to intraarterial thrombolysis: accuracy in the detection of large vessel thrombus. J Comput Assist Tomogr 2001; 25: 520–528.

32. Lehmann KJ, Neff KW, Ries S et al. Spiral CT angiography in stenoses of the middle cerebral artery. Radiologe 1996; 36: 845–849.

33. Tan IY, Demchuk AM, Hopyan J et al. CT angiography clot burden score and collateral score: correlation with clinical and radiologic outcomes in acute middle cerebral artery infarct. AJNR Am J Neuroradiol 2009; 30; 525–531.

34. Puetz V, Dzialowski I, Hill MD et al. Calgary CTA Study Group. Intracranial thrombus extent predicts clinical outcome, final infarct size and hemorrhagic transformation in ischemic stroke: the clot burden score. Int J Stroke 2008; 3: 230–236.

35. Miteff F, Levi CR, Bateman GA et al. The independent predictive utility of computed tomography angio­graphic collateral status in acute ischaemic stroke. Brain 2009; 132(Pt 8): 2231–2238.

36. Bryan RN, Levy LM, Whitlow WD et al. Diagnosis of acute cerebral infarction: comparison of CT and MR imaging. AJNR Am J Neuroradiol 1991; 12: 611–620.

37. Albers GW, Lansberg MG, Norbash AM et al. Yield of diffusion-weighted MRI for detection of potentially relevant findings in stroke patients. Neurology 2000; 54: 1562–1567.

38. Wiener JI, King JT Jr, Moore JR et al. The value of diffusion-weighted imaging for prediction of lasting deficit in acute stroke: an analysis of 134 patients with acute neurologic deficits. Neuroradiology 2001; 43: 435–441.

39. Kidwell CS, Saver JL, Mattiello J et al. Thrombolytic reversal of acute human cerebral ischemic injury shown by diffusion/perfusion magnetic resonance imaging. Ann Neurol 2000; 47: 462–469.

40. Latchaw RE et al. Recommendation for paging of acute ischemic stroke: a scientific statement from the AHA. Stroke 2009; 3646–3678.

41. Fiebach JB, Schellinger PD, Jansen O et al. CT and diffusion-weighted MR imaging in randomized order: diffusion-weighted imaging results in higher accuracy and lower interrater variability in the diagnosis of hyperacute ischemic stroke. Stroke 2002; 33: 2206–2210.

42. Flacke S, Urbach H, Keller E et al. Middle cerebral artery (MCA) susceptibility sign at susceptibility-based erfusion MR imaging: clinical importance and comparison with hyperdense MCA sign at CT. Radiology 2000; 215: 476–482.

43. Liebeskind DS, Sanossian N, Yong WH et al. CT and MRI early vessel signs reflect clot composition in acute stroke. Stroke 2011; 42: 1237–1243.

44. Assouline E, Benziane K, Reizine D et al. Intra-arterial thrombus visualized on T2* gradient echo imaging in acute ischemic stroke. Cerebrovasc Dis 2005; 20: 6–11.

45. Schaefer PW, Ozsunar Y, He J et al. Assessing tissue viability with MR diffusion and perfusion imaging. AJNR Am J Neuroradiol 2003; 24: 436–443.

46. Butcher K, Parsons M, Baird T et al. Perfusion thresholds in acute stroke thrombolysis. Stroke 2003; 34: 2159–2164.

47. Ogata T, Christensen S, Nagakane Y et al. EPITHET and DEFUSE Investigators. The effects of alteplase 3 to 6 hours after stroke in the EPITHET–DEFUSE combined dataset: post hoc case-control study. Stroke 2013; 44: 87–93.

48. Albers GW, Thijs VN, Wechsler L 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.

49. Ogata T, Nagakane Y, Christensen S et al. EPITHET and DEFUSE Investigators. A topographic study of the evolution of the MR DWI/PWI mismatch pattern and its clinical impact: A study by the EPITHET and DEFUSE onvestigators. Stroke 2011; 42: 1596–1601.

50. Okumura A, Araki Y, Nishimura Y et al. The clinical utility of contrast-enhanced 3D MR angiogramy for cerebrovascular disease. Neurol Res 2001; 23: 767–771.

51. Nederkoorn PJ, Elgersma OE, van der Graaf Y et al. Carotid artery stenosis: accuracy of contrastenhanced MR angiography for diagnosis. Radiology 2003; 228: 677–682.

52. Remonda L, Heid O, Schroth G. Carotid artery stenosis, occlusion, and pseudo-occlusion: first-pass, gadolinium-enhanced, three-dimensional MR angio­graphy – preliminary study. Radiology 1998; 209: 95–102.

53. Goyal M, Nicol J, Gandhi D. Evaluation of carotid artery stenosis: contrast-enhanced magnetic resonance angiography compared with conventional digital subtraction angiography. Can Assoc Radiol J 2004; 55: 111–119.

54. Bash S, Villablanca JP, Jahan R et al. Intracranial vascular stenosis and occlusive disease: evaluation with CT angiography, MR angiography, and digital subtraction angiography. AJNR Am J Neuroradiol 2005; 26: 1012–1021.

55. Hirai T, Korogi Y, Ono K et al. Prospective evaluation of suspected stenoocclusive disease of the intracranial artery: combined MR angiography and CT angiography compared with digital subtraction angiography. AJNR Am J Neuroradiol 2002; 23: 93–101.

56. Stroke Outcomes and Neuroimaging of Intracranial Atherosclerosis (SONIA) Trial Investigators. Stroke Outcome and Neuroimaging of Intracranial Atherosclerosis (SONIA): design of a prospective, multicenter trial of diagnostic tests. Neuroepidemiology 2004; 23: 23–32.

57. Thiele BL, Jones AM, Hobson RW et al. Standards in noninvasive cerebrovascular testing: report from the Committee on Standards for Noninvasive Vascular Testing of the Joint Council of the Society for Vascular Surgery and the North American Chapter of the International Society for Cardiovascular Surgery. J Vasc Surg 1992; 15: 495–503.

58. Alexandrov AV, Brodie DS, McLean A et al. Correlation of peak systolic velocity and angiographic measurement of carotid stenosis revisited. Stroke 1997; 28: 339–342

59. Faught WE, Mattos MA, van Bemmelen PS et al. Color-flow duplex scanning of carotid arteries: new velocity criteria based on receiver operator characteristic analysis for threshold stenoses used in the symptomatic and asymptomatic carotid trials. J Vasc Surg 1994; 19: 818–827.

60. Carpenter JP, Lexa FJ, Davis JT. Determination of sixty percent or greater carotid artery stenosis by duplex Doppler ultrasonography. J Vasc Surg 1995; 22: 697–703.

61. Long A, Lepoutre A, Corbillon E et al. Critical review of non- or minimally invasive methods (duplex ultrasonography, MR- and CT-angiography) for evaluating stenosis of the proximal internal karotid artery. Eur J Vasc Endovasc Surg 2002; 24: 43–52.

62. Gray-Weale AC, Graham JC, Burnett JR et al. Carotid artery atheroma: comparison of preoperative B-mode ultrasound appearance with carotid endarterectomy specimen pathology. J Cardiovasc Surg (Torino) 1988; 29: 676–681.

63. Nedelmann M, Stolz E, Gerriets T et al. TCCS Consensus Group. Consensus recommenda­tions for transcranial color-coded duplex sonography for the assessment of intracranial arteries in clinical trials on acute stroke. Stroke 2009; 40: 3238–3244.

64. Burgin WS, Malkoff M, Felberg RA et al. Transcranial doppler ultrasound criteria for recanalization after thrombolysis for middle cerebral artery stroke. Stroke 2000; 31: 1128–1132.

65. Tang SC, Jeng JS, Yip PK et al. Transcranial color-coded sonography for the detection of middle cerebral artery stenosis. J Ultrasound Med 2005; 24: 451–457; quiz 459–460.

66. Ogata T, Kimura K, Nakajima M et al. Diagnosis of middle cerebral artery occlusive lesions with contrast-enhanced transcranial color-coded real-time sonography in acute stroke. Neuroradiology 2005; 47: 256–262.

67. Kidwell CS, Alger JR, Di Salle F et al. Diffusion MRI in patients with transient ischemic attacks. Stroke 1999; 30: 1174–1180.

68. Demchuk AM, Burgin WS, Christou I et al. Thrombolysis in brain ischemia (TIBI) transcranial Doppler flow grades predict clinical severity, early recovery, and mortality in patients treated with intravenous tissue plasminogen activator Stroke 2001; 32: 89–93.

Štítky
Paediatric cardiology Internal medicine Cardiac surgery Cardiology
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