Cerebral Hemodynamics in Moyamoya Disease: Correlation between Perfusion-Weighted MR Imaging and Cerebral Angiography

References

1. ↵
   Suzuki J, Takaku A. Cerebrovascular “moyamoya” disease: disease showing abnormal net-like vessels in base of brain. Arch Neurol 1969;20:288–99

   CrossRefPubMedWeb of Science
2. ↵
   Suzuki J, Kodama N. Moyamoya disease: a review. Stroke 1983;14:104–10

   Abstract/FREE Full Text
3. ↵
   Nishimoto A, Takeuchi S. Abnormal cerebrovascular network related to the internal carotid arteries. J Neurosurg 1968;29:255–60

   PubMedWeb of Science
4. ↵
   Miyamoto S, Kikuchi H, Karasawa J, et al. Study of the posterior circulation in moyamoya disease: clinical and neuroradiological evaluation. J Neurosurg 1984;61:1032–37

   PubMedWeb of Science
5. ↵
   Yamada I, Himeno Y, Suzuki S, et al. Posterior circulation in moyamoya disease: angiographic study. Radiology 1995;197:239–46

   PubMed
6. ↵
   Yamada I, Himeno Y, Nagaoka T, et al. Moyamoya disease: evaluation with diffusion-weighted and perfusion echo-planar MR imaging. Radiology 1999;212:340–47

   PubMed
7. ↵
   Yamada I, Murata Y, Umehara I, et al. SPECT and MRI evaluations of the posterior circulation in moyamoya disease. J Nucl Med 1996;37:1613–17

   Abstract/FREE Full Text
8. ↵
   Mugikura S, Takahashi S, Higano S, et al. The relationship between cerebral infarction and angiographic characteristics in childhood moyamoya disease. AJNR Am J Neuroradiol 1999;20:336–43

   Abstract/FREE Full Text
9. ↵
   Piao R, Oku N, Kitagawa K, et al. Cerebral hemodynamics and metabolism in adult moyamoya disease: comparison of angiographic collateral circulation. Ann Nucl Med 2004;18:115–21

   PubMed
10. ↵
    Taki W, Yonekawa Y, Kobayashi A, et al. Cerebral circulation and metabolism in adults’ moyamoya disease: PET study. Acta Neurochir (Wien) 1989;100:150–54

    CrossRefPubMed
11. ↵
    Schumann P, Touzani O, Young AR, et al. Evaluation of the ratio of cerebral blood flow to cerebral blood volume as an index of local cerebral perfusion pressure. Brain 1998;121:1369–79

    Abstract/FREE Full Text
12. ↵
    Mihara F, Kuwabara Y, Tanaka A, et al. Reliability of mean transit time obtained using perfusion-weighted MR imaging; comparison with positron emission tomography. Magn Reson Imaging 2003;21:33–39

    CrossRefPubMed
13. ↵
    Kikuchi K, Murase K, Miki H, et al. Quantitative evaluation of mean transit times obtained with dynamic susceptibility contrast-enhanced MR imaging and with (133)Xe SPECT in occlusive cerebrovascular disease. AJR Am J Roentgenol 2002;179:229–35

    PubMed
14. ↵
    Kaneko K, Kuwabara Y, Mihara F, et al. Validation of the CBF, CBV, and MTT values by perfusion MRI in chronic occlusive cerebrovascular disease: a comparison with ¹⁵O-PET. Acad Radiol 2004;11:489–97

    CrossRefPubMed
15. ↵
    Lythgoe DJ, Ostergaard L, William SC, et al. Quantitative perfusion imaging in carotid artery stenosis using dynamic susceptibility contrast-enhanced magnetic resonance imaging. Magn Reson Imaging 2000;18:1–11

    CrossRefPubMedWeb of Science
16. ↵
    Rempp KA, Brix G, Wenz F, et al. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994;193:637–41

    PubMedWeb of Science
17. ↵
    Sorensen AG, Reimer P. Cerebral MR perfusion imaging: principles and current applications. Stuttgart and New York: Thieme;2000 :48–51
18. ↵
    Wirestam R, Anderson L, Ostergaard L, et al. Assessment of regional blood flow by dynamic susceptibility contrast MRI using different deconvolution techniques. Magn Reson Med 2000;43:691–700

    CrossRefPubMedWeb of Science
19. ↵
    Ostergaard L, Weiskoff RM, Chester DA, et al. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I. Mathematical approach and statistical analysis. Magn Reson Med 1996;36:715–25

    CrossRefPubMedWeb of Science
20. ↵
    Bereczki D, Wei L, Otsuka T, et al. Hypercapnia slightly raises blood volume and sizably elevates flow velocity in brain microvessels. Am J Physiol 1993;264:1360–69
21. ↵
    Lin W, Celik A, Derdeyn C, et al. Quantitative measurement of cerebral blood flow in patients with unilateral carotid artery occlusion: a PET and MR study. J Magn Reson Imaging 2001;14:659–67

    CrossRefPubMed
22. ↵
    Hagen T, Bartylla K, Piepgras U. Correlation of regional cerebral blood flow measured by stable xenon CT and perfusion MRI. J Comput Assist Tomogr 1999;23:257–64

    CrossRefPubMed
23. ↵
    Kuwabara Y, Ichiya Y, Otsuka M, et al. Cerebral hemodynamic change in the child and the adult with moyamoya disease. Stroke 1990;21:272–77

    Abstract/FREE Full Text
24. ↵
    Kuwabara Y, Ichiya Y, Sasaki M, et al. Cerebral hemodynamics and metabolism in moyamoya disease: a positron emission tomography study. Clin Neurol Neurosurg 1997;99(suppl 2):S74–78
25. ↵
    Gibbs JM, Wise RJ, Leenders KL, et al. Evaluation of cerebral perfusion reserve in patients with carotid-artery occlusion. Lancet 1984;11:310–14
26. ↵
    Kuwabara Y, Ichiya Y, Sasaki M, et al. Response to hypercapnia in moyamoya disease: cerebrovascular response to hypercapnia in pediatric and adult patients with moyamoya disease. Stroke 1997;28:701–707

    Abstract/FREE Full Text
27. ↵
    Nighoghossian N, Berthezene Y, Philippon B, et al. Hemodynamic parameter assessment with dynamic susceptibility contrast magnetic resonance imaging in unilateral symptomatic internal carotid artery occlusion. Stroke 1996;27:474–79

    Abstract/FREE Full Text
28. ↵
    Nogawa S, Fukuuchi Y, Kobari M, et al. Local cerebral hemodynamic changes through the angiographic stages of moyamoya disease. Keio J Med 2000;49(suppl 1):A90–94
29. ↵
    Calamante F, Ganesan V, Kirkham FJ. MR perfusion imaging in Moyamoya syndrome: potential implications for clinical evaluation of occlusive cerebrovascular disease. Stroke 2001;32:2810–16

    Abstract/FREE Full Text