MR diffusion-weighted imaging and outcome prediction after ischemic stroke

Neurology

Volumn 66, Issue 8, 2006, Pages 1159-1163

  Hand, P J ^b   Wardlaw, J M ^a   Rivers, C S ^a   Armitage, P A ^a   Bastin, M E ^a   Lindley, R I ^c   Dennis, M S ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b ROYAL MELBOURNE HOSPITAL   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; CEREBROVASCULAR ACCIDENT; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; DISEASE SEVERITY; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; RANKIN SCALE; SAMPLE SIZE;

ACUTE DISEASE; AGED; BRAIN ISCHEMIA; CEREBROVASCULAR ACCIDENT; DIAGNOSTIC TESTS, ROUTINE; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; LOGISTIC MODELS; MALE; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 33646707301     PISSN: 00283878     EISSN: None     Source Type: Journal    
DOI: 10.1212/01.wnl.0000202524.43850.81     Document Type: Article

References (26)

1. Uchino K, Cramer S. Criteria and baseline characteristics predict outcome in acute stroke trials. Stroke 2000;31:277.
2. Adams HP, Davis PH, Leira EC, et al. Baseline NIH Stroke Scale score strongly predicts outcome after stroke. A report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST). Neurology 1999;53:126-134.
3. Counsell C, Dennis M. Systematic review of prognostic models in patients with acute stroke. Cerebrovasc Dis 2001;12:159-170.
4. Counsell C, Dennis M, McDowall M, Warlow C. Predicting outcome after acute and subacute stroke. Development and validation of new prognostic models. Stroke 2002;33:1041-1047.
5. Warach S, Pettigrew LC, Dashe JF, et al. Effect of citicoline on ischemic lesions as measured by diffusion- weighted magnetic resonance imaging. Citicoline 010 Investigators. Ann Neurol 2000;48:713-722.
6. Donnan G. MR Surrogate outcome measures: sample size considerations. Proceedings of the 8th International Symposium Thrombolysis and Acute Stroke Therapy, 2004:23.
7. Warach S, Dashe JF, Edelman RR. Clinical outcome in ischemic stroke predicted by early diffusion-weighted and perfusion magnetic resonance imaging: a preliminary analysis. J Cereb Blood Flow Metab 1996;16:53-59.
8. Lovblad KO, Baird AE, Schlaug G, et al. Ischemic lesion volumes in acute stroke by diffusion-weighted magnetic resonance imaging correlate with clinical outcome. Ann Neurol 1997;42:164-170.
9. Barber PA, Darby DG, Desmond PM, Yang Q, Gerraty RP, Jolley D. Prediction of stroke outcome with echoplanar perfusion- and diffusion-weighted MRI. Neurology 1998;51:418-426.
10. van Everdingen KJ, van, der Grond J, Kappelle LJ, Ramos LM, Mali WP. Diffusion-weighted magnetic resonance imaging in acute stroke. Stroke 1998;29:1783-1790.
11. Thijs VN, Lansberg MG, Beaulieu C, Marks MP, Moseley ME, Albers GW. Is early ischemic lesion volume on diffusion-weighted imaging an independent predictor of stroke outcome? A multivariable analysis. Stroke (online) 2000;31:2597-2602.
12. Baird AE, Dambrosia J, Janket S, et al. A Three-Item Scale for the early prediction of stroke recovery. Lancet 2001;357:2095-2099.
13. Schellinger PD, Fiebach JB, Jansen O, et al. Stroke magnetic resonance imaging within 6 hours after onset of hyperacute cerebral ischemia. Ann Neurol 2001;49:460-469.
14. Fiehler J. ADC and metabolites in stroke: even more confusion about diffusion? Stroke 2003;34:7.
15. Engelter ST, Provenzale JM, Petrella JR, DeLong DM, Alberts MJ. Infarct volume on apparent diffusion coefficient maps correlates with length of stay and outcome after middle cerebral artery stroke. Cerebrovasc Dis 2003;15:188-191.
16. Engelter ST, Wetzel SG, Radue EW, Rausch M, Steck AJ, Lyrer PA. The clinical significance of diffusion-weighted MR imaging in infratentorial strokes. Neurology 2004;62:574-580.
17. Wardlaw JM, Keir SL, Bastin ME, Armitage PA, Rana AK. Is diffusion imaging appearance an independent predictor of outcome after ischemic stroke? Neurology 2002;59:1381-1387.
18. Beaulieu C, de Crespigny A, Tong DC, Moseley ME, Albers GW, Marks MP. Longitudinal magnetic resonance imaging study of perfusion and diffusion in stroke: evolution of lesion volume and correlation with clinical outcome. Ann Neurol 1999;46:568-578.
19. Wyatt JC, Altman DG. Prognostic models: Clinically useful or quickly forgotten? Br Med J 1995;311:1539-1541.
20. Bamford J, Sandercock P, Dennis M, Burn J, Warlow C. Classification and natural history of clinically identifiable subtypes of cerebral infarction. Lancet 1991;337:1521-1526.
21. Sulter G, Steen C, De Keyser J. Use of the Barthel Index and modified Rankin Scale in acute stroke trials. Stroke 1999;30:1538-1541.
22. van Swieten JC, Koudstaal PJ, Visser MC, Schouten HJ, van Gijn J. Interobserver agreement for the assessment of handicap in stroke patients. Stroke 1988;19:604-607.
23. Muir KW, Weir CJ, Murray GD. Comparison of neurological scales and scoring systems for acute stroke prognosis. Stroke 1996;27:1817-1820.
24. Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996;49:1373-1379.
25. Wardlaw JM, Lewis SC, Dennis MS, Counsell C, McDowall M. Is visible infarction on computed tomography associated with an adverse prognosis in acute ischemic stroke? Stroke 1998;29:1315-1319.
26. Wardlaw JM, West TM, Sandercock PA, Lewis SC, Mielke O. Visible infarction on computed tomography is an independent predictor of poor functional outcome after stroke, and not of haemorrhagic transformation. JNNP 2003;74:452-458.