Serial Changes in CT Cerebral Blood Volume and Flow after 4 Hours of Middle Cerebral Occlusion in an Animal Model of Embolic Cerebral Ischemia

References

1. ↵
   American Stroke Association. American Stroke Association Stroke statistics. American Heart Association. 2003 . Available at: http://www.strokeassociation.org
2. ↵
   Astrup J, Siesjo BK, Symon L. Thresholds in cerebral ischemia—the ischemic penumbra. Stroke 1981;12:723–25

   FREE Full Text
3. ↵
   Furlan M, Marchal G, Viader F, et al. Spontaneous neurological recovery after stroke and the fate of the ischemic penumbra. Ann Neurol 1996;40:216–26

   CrossRefPubMedWeb of Science
4. ↵
   Hacke W, Donnan G, Fieschi C, et al. Association of outcome with early stroke treatment: pooled analysis of ATLANTIS, ECASS, and NINDS rt-PA stroke trials. Lancet 2004;363:768–74

   CrossRefPubMedWeb of Science
5. ↵
   Darby DG, Barber PA, Gerraty RP, et al. Pathophysiological topography of acute ischemia by combined diffusion-weighted and perfusion MRI. Stroke 1999;30:2043–52

   Abstract/FREE Full Text
6. ↵
   Barber PA, Darby DG, Desmond PM, et al. Prediction of stroke outcome with echoplanar perfusion- and diffusion-weighted MRI. Neurology 1998;51:418–26

   Abstract/FREE Full Text
7. ↵
   Anonymous. Tissue plasminogen activator for acute ischemic stroke. The National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group. N Engl J Med 1995;333:1581–87

   CrossRefPubMedWeb of Science
8. Hacke W, Kaste M, Skyhoj OT, et al. European Stroke Initiative (EUSI) recommendations for stroke management. The European Stroke Initiative Writing Committee. Eur J Neurol 2000;7:607–23

   CrossRefPubMedWeb of Science
9. ↵
   Thomalla G, Schwark C, Sobesky J, et al. Outcome and symptomatic bleeding complications of intravenous thrombolysis within 6 hours in MRI-selected stroke patients: comparison of a German multicenter study with the pooled data of ATLANTIS, ECASS, and NINDS tPA trials. Stroke 2006;37:852–58

   Abstract/FREE Full Text
10. ↵
    Wintermark M, Reichhart M, Cuisenaire O, et al. Comparison of admission perfusion computed tomography and qualitative diffusion- and perfusion-weighted magnetic resonance imaging in acute stroke patients. Stroke 2002;33:2025–31

    Abstract/FREE Full Text
11. ↵
    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;51:417–32

    CrossRefPubMedWeb of Science
12. ↵
    Els T, Daffertshofer M, Schroeck H, et al. Comparison of transcranial Doppler flow velocity and cerebral blood flow during focal ischemia in rabbits. Ultrasound Med Biol 1999;25:933–38

    PubMedWeb of Science
13. Eyre JA, Essex TJ, Flecknell PA, et al. A comparison of measurements of cerebral blood flow in the rabbit using laser Doppler spectroscopy and radionuclide labelled microspheres. Clin Phys Physiol Meas 1988;9:65–74

    CrossRefPubMedWeb of Science
14. ↵
    Orr JA, DeSoignie RC, Wagerle LC, et al. Regional cerebral blood flow during hypercapnia in the anesthetized rabbit. Stroke 1983;14:802–07

    Abstract/FREE Full Text
15. ↵
    Kapoor K, Kak VK, Singh B. Morphology and comparative anatomy of circulus arteriosus cerebri in mammals. Anat Histol T Embryol 2003;32:347–55
16. ↵
    Jeppson PG, Olin T, eds. Cerebral Angiography in the Rabbit. Lund, Sweden: Lunds Universitäts Årsskrift;1960
17. ↵
    Nabavi DG, Cenic A, Dool J, et al. Quantitative assessment of cerebral hemodynamics using CT: stability, accuracy, and precision studies in dogs. J Comput Assist Tomogr 1999;23:506–15

    CrossRefPubMedWeb of Science
18. ↵
    Cenic A, Nabavi DG, Craen RA, et al. Dynamic CT measurement of cerebral blood flow: a validation study. AJNR Am J Neuroradiol 1999;20:63–73

    Abstract/FREE Full Text
19. ↵
    Kealey SM, Loving VA, Delong DM, et al. User-defined vascular input function curves: influence on mean perfusion parameter values and signal-to-noise ratio. Radiology 2004;231:587–93

    PubMed
20. ↵
    Sanelli PC, Lev MH, Eastwood JD, et al. The effect of varying user-selected input parameters on quantitative values in CT perfusion maps. Acad Radiol 2004;11:1085–92

    CrossRefPubMedWeb of Science
21. ↵
    Nabavi DG, Cenic A, Henderson S, et al. Perfusion mapping using computed tomography allows accurate prediction of cerebral infarction in experimental brain ischemia. Stroke 2001;32:175–83

    Abstract/FREE Full Text
22. ↵
    Kudo K, Terae S, Katoh C, et al. Quantitative cerebral blood flow measurement with dynamic perfusion CT using the vascular-pixel elimination method: comparison with H₂¹⁵O positron emission tomography. AJNR Am J Neuroradiol 2003;24:419–26

    Abstract/FREE Full Text
23. ↵
    Norusis MJ. Logistic regression analysis. In: SPSS 13.0 Statistical Procedures Companion. Upper Saddle River, NJ: Prentice Hall, Inc;2005 :319–59
24. ↵
    Sette G, Baron JC, Mazoyer B, et al. Local brain haemodynamics and oxygen metabolism in cerebrovascular disease. Positron emission tomography. Brain 1989;112(Pt 4):931–51
25. ↵
    Derdeyn CP, Videen TO, Yundt KD, et al. Variability of cerebral blood volume and oxygen extraction: stages of cerebral haemodynamic impairment revisited. Brain 2002;125:595–607

    Abstract/FREE Full Text
26. ↵
    Baron J-C. Positron emission tomography. In: Barnett HJM, ed. Stroke: Pathophysiology, Diagnosis, and Management. New York: Churchill Livingstone;1998 :101–19
27. ↵
    Lassen NA. Pathophysiology of brain ischemia as it relates to the therapy of acute ischemic stroke. Clin Neuropharmacol 1990;13(Suppl 3):S1–S8
28. ↵
    Hamberg LM, Boccalini P, Stranjalis G, et al. Continuous assessment of relative cerebral blood volume in transient ischemia using steady state susceptibility-contrast MRI. Magn Reson Med 1996;35:168–73

    CrossRefPubMedWeb of Science
29. Dijkhuizen RM, Berkelbach van der Sprenkel JW, Tulleken KA, et al. Regional assessment of tissue oxygenation and the temporal evolution of hemodynamic parameters and water diffusion during acute focal ischemia in rat brain. Brain Res 1997;750:161–70

    CrossRefPubMedWeb of Science
30. ↵
    Caramia F, Huang Z, Hamberg LM, et al. Mismatch between cerebral blood volume and flow index during transient focal ischemia studied with MRI and GD-BOPTA. Magn Reson Imaging 1998;16:97–103

    CrossRefPubMed
31. ↵
    Kuschinsky W, Wahl M. Local chemical and neurogenic regulation of cerebral vascular resistance. Physiol Rev 1978;58:656–89

    FREE Full Text
32. ↵
    Hudetz A. Cerebral microcirculation. In: Welch KMA, Caplan LR, Reis DJ, et al, eds. Primer on Cerebrovascular Disease. San Diego: Academic Press;1997 :45–51
33. ↵
    Lee SK, Kim DI, Jeong EK, et al. Temporal changes in reversible cerebral ischemia on perfusion- and diffusion-weighted magnetic resonance imaging: the value of relative cerebral blood volume maps. Neuroradiology 2002;44:103–08

    PubMed
34. ↵
    Sakoh M, Rohl L, Gyldensted C, et al. Cerebral blood flow and blood volume measured by magnetic resonance imaging bolus tracking after acute stroke in pigs: comparison with [¹⁵O]H₂O positron emission tomography. Stroke 2000;31:1958–64

    Abstract/FREE Full Text
35. Hatazawa J, Shimosegawa E, Toyoshima H, et al. Cerebral blood volume in acute brain infarction: a combined study with dynamic susceptibility contrast MRI and 99mTc-HMPAO-SPECT. Stroke 1999;30:800–06

    Abstract/FREE Full Text
36. ↵
    Powers WJ. Cerebral hemodynamics in ischemic cerebrovascular disease. Ann Neurol 1991;29:231–40

    CrossRefPubMedWeb of Science
37. ↵
    Roberts HC, Roberts TP, Smith WS, et al. Multisection dynamic CT perfusion for acute cerebral ischemia: the “toggling-table” technique. AJNR Am J Neuroradiol 2001;22:1077–80

    Abstract/FREE Full Text
38. ↵
    Hsieh J, Wei Y, Wang G. Fractional scan algorithms for low-dose perfusion CT. Med Phys 2004;31:1254–57

    CrossRefPubMed
39. ↵
    Tippins RB, Torres WE, Baumgartner BR, et al. Are screening serum creatinine levels necessary prior to outpatient CT examinations? Radiology 2000;216:481–84

    PubMedWeb of Science
40. ↵
    Zhang K, Sejnowski TJ. A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci U S A 2000;97:5621–26

    Abstract/FREE Full Text