Breath-Hold Blood Oxygen Level–Dependent MRI: A Tool for the Assessment of Cerebrovascular Reserve in Children with Moyamoya Disease

References

1. 1.↵
   2. Lynch JK,
   3. Hirtz DG,
   4. DeVeber G, et al

   . Report of the National Institute of Neurological Disorders and Stroke workshop on perinatal and childhood stroke. Pediatrics 2002;109:116–23 doi:10.1542/peds.109.1.116 pmid:11773550

   Abstract/FREE Full Text
2. 2.↵
   2. Fullerton HJ,
   3. Wu YW,
   4. Zhao S, et al

   . Risk of stroke in children: ethnic and gender disparities. Neurology 2003;61:189–94 doi:10.1212/01.WNL.0000078894.79866.95 pmid:12874397

   Abstract/FREE Full Text
3. 3.↵
   2. Fullerton HJ,
   3. Wu YW,
   4. Sidney S, et al

   . Risk of recurrent childhood arterial ischemic stroke in a population-based cohort: the importance of cerebrovascular imaging. Pediatrics 2007;119:495–501 doi:10.1542/peds.2006-2791 pmid:17332202

   Abstract/FREE Full Text
4. 4.↵
   2. Mackay MT,
   3. Wiznitzer M,
   4. Benedict SL, et al

   ; International Pediatric Stroke Study Group. Arterial ischemic stroke risk factors: the International Pediatric Stroke Study. Ann Neurol 2011;69:130–40 doi:10.1002/ana.22224 pmid:21280083

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Wintermark M,
   3. Hills NK,
   4. deVeber GA, et al

   ; VIPS Investigators. Arteriopathy diagnosis in childhood arterial ischemic stroke: results of the vascular effects of infection in pediatric stroke study. Stroke 2014;45:3597–605 doi:10.1161/STROKEAHA.114.007404 pmid:25388419

   Abstract/FREE Full Text
6. 6.↵
   2. Ganesan V,
   3. Prengler M,
   4. Wade A, et al

   . Clinical and radiological recurrence after childhood arterial ischemic stroke. Circulation 2006;114:2170–77 doi:10.1161/CIRCULATIONAHA.105.583690 pmid:17075014

   Abstract/FREE Full Text
7. 7.↵
   2. Braun KP,
   3. Bulder MM,
   4. Chabrier S, et al

   . The course and outcome of unilateral intracranial arteriopathy in 79 children with ischaemic stroke. Brain 2009;132:544–57 pmid:19039009

   CrossRefPubMedWeb of Science
8. 8.↵
   2. Amlie-Lefond C,
   3. Bernard TJ,
   4. Sebire G, et al

   ; International Pediatric Stroke Study Group. Predictors of cerebral arteriopathy in children with arterial ischemic stroke: results of the International Pediatric Stroke Study. Circulation 2009;119:1417–23 doi:10.1161/CIRCULATIONAHA.108.806307 pmid:19255344

   Abstract/FREE Full Text
9. 9.↵
   2. Dobson SR,
   3. Holden KR,
   4. Nietert PJ, et al

   . Moyamoya syndrome in childhood sickle cell disease: a predictive factor for recurrent cerebrovascular events. Blood 2002;99:3144–50 doi:10.1182/blood.V99.9.3144 pmid:11964276

   Abstract/FREE Full Text
10. 10.↵
    2. Rafay MF,
    3. Armstrong D,
    4. Dirks P, et al

    . Patterns of cerebral ischemia in children with moyamoya. Pediatr Neurol 2015;52:65–72 doi:10.1016/j.pediatrneurol.2014.10.007 pmid:25459363

    CrossRefPubMed
11. 11.↵
    2. Guey S,
    3. Tournier-Lasserve E,
    4. Hervé D, et al

    . Moyamoya disease and syndromes: from genetics to clinical management. Appl Clin Genet 2015;8:49–68 doi:10.2147/TACG.S42772 pmid:25733922

    CrossRefPubMed
12. 12.↵
    2. Sobczyk O,
    3. Battisti-Charbonney A,
    4. Fierstra J, et al

    . A conceptual model for CO₂-induced redistribution of cerebral blood flow with experimental confirmation using BOLD MRI. Neuroimage 2014;92:56–68 doi:10.1016/j.neuroimage.2014.01.051 pmid:24508647

    CrossRefPubMed
13. 13.↵
    2. Gupta A,
    3. Chazen JL,
    4. Hartman M, et al

    . Cerebrovascular reserve and stroke risk in patients with carotid stenosis or occlusion: a systematic review and meta-analysis. Stroke 2012;43:2884–91 doi:10.1161/STROKEAHA.112.663716 pmid:23091119

    Abstract/FREE Full Text
14. 14.↵
    2. Conklin J,
    3. Fierstra J,
    4. Crawley AP, et al

    . Impaired cerebrovascular reactivity with steal phenomenon is associated with increased diffusion in white matter of patients with Moyamoya disease. Stroke 2010;41:1610–16 doi:10.1161/STROKEAHA.110.579540 pmid:20576954

    Abstract/FREE Full Text
15. 15.↵
    2. Reinhard M,
    3. Schwarzer G,
    4. Briel M, et al

    . Cerebrovascular reactivity predicts stroke in high-grade carotid artery disease. Neurology 2014;83:1424–31 doi:10.1212/WNL.0000000000000888 pmid:25217057

    Abstract/FREE Full Text
16. 16.↵
    2. Lee M,
    3. Zaharchuk G,
    4. Guzman R, et al

    . Quantitative hemodynamic studies in moyamoya disease: a review. Neurosurg Focus 2009;26:E5 doi:10.3171/2009.1.FOCUS08300 pmid:19335131

    CrossRefPubMed
17. 17.↵
    2. Slessarev M,
    3. Han J,
    4. Mardimae A, et al

    . Prospective targeting and control of end-tidal CO2 and O2 concentrations. J Physiol 2007;581:1207–19 doi:10.1113/jphysiol.2007.129395 pmid:17446225

    CrossRefPubMedWeb of Science
18. 18.↵
    2. Kassner A,
    3. Winter JD,
    4. Poublanc J, et al

    . Blood-oxygen level dependent MRI measures of cerebrovascular reactivity using a controlled respiratory challenge: reproducibility and gender differences. J Magn Reson Imaging 2010;31:298–304 doi:10.1002/jmri.22044 pmid:20099341

    CrossRefPubMedWeb of Science
19. 19.↵
    2. Heyn C,
    3. Poublanc J,
    4. Crawley A, et al

    . Quantification of cerebrovascular reactivity by blood oxygen level-dependent MR imaging and correlation with conventional angiography in patients with Moyamoya disease. AJNR Am J Neuroradiol 2010;31:862–67 doi:10.3174/ajnr.A1922 pmid:20075092

    Abstract/FREE Full Text
20. 20.↵
    2. Han JS,
    3. Mikulis DJ,
    4. Mardimae A, et al

    . Measurement of cerebrovascular reactivity in pediatric patients with cerebral vasculopathy using blood oxygen level-dependent MRI. Stroke 2011;42:1261–69 doi:10.1161/STROKEAHA.110.603225 pmid:21493907

    Abstract/FREE Full Text
21. 21.↵
    2. Leung J,
    3. Kim JA,
    4. Kassner A

    . Reproducibility of cerebrovascular reactivity measures in children using BOLD MRI. J Magn Reson Imaging 2016;43:1191–95 doi:10.1002/jmri.25063 pmid:26435493

    CrossRefPubMed
22. 22.↵
    2. Bright MG,
    3. Murphy K

    . Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance. Neuroimage 2013;83:559–68 doi:10.1016/j.neuroimage.2013.07.007 pmid:23845426

    CrossRefPubMed
23. 23.↵
    2. Fukui M

    . Guidelines for the diagnosis and treatment of spontaneous occlusion of the circle of Willis (‘moyamoya’ disease): Research Committee on Spontaneous Occlusion of the Circle of Willis (Moyamoya Disease) of the Ministry of Health and Welfare, Japan. Clin Neurol Neurosurg 1997;99(Suppl 2):S238–40 pmid:9409446

    CrossRefPubMedWeb of Science
24. 24.↵
    2. Zhang Y,
    3. Brady M,
    4. Smith S

    . Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 2001;20:45–57 doi:10.1109/42.906424 pmid:11293691

    CrossRefPubMedWeb of Science
25. 25.↵
    2. Jenkinson M,
    3. Smith S

    . A global optimisation method for robust affine registration of brain images. Med Image Anal 2001;5:143–56 doi:10.1016/S1361-8415(01)00036-6 pmid:11516708

    CrossRefPubMedWeb of Science
26. 26.↵
    2. Wechsler D

    . Wechsler Intelligence Scale for Children: Fourth Edition Technical and Interpretive Manual. San Antonio: PsychCorp; 2004
27. 27.↵
    2. Wechsler D

    . Wechsler Intelligence Scale for Children: Fifth Edition. Technical and Interpretive Manual. Bloomington: PsychCorp: Pearson; 2014
28. 28.↵
    2. van der Zwan A,
    3. Hillen B,
    4. Tulleken CA, et al

    . Variability of the territories of the major cerebral arteries. J Neurosurg 1992;77:927–40 doi:10.3171/jns.1992.77.6.0927 pmid:1432137

    CrossRefPubMedWeb of Science
29. 29.↵
    2. Desikan RS,
    3. Ségonne F,
    4. Fischl B, et al

    . An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 2006;31:968–80 doi:10.1016/j.neuroimage.2006.01.021 pmid:16530430

    CrossRefPubMedWeb of Science
30. 30.↵
    2. Mandell DM,
    3. Han JS,
    4. Poublanc J, et al

    . Mapping cerebrovascular reactivity using blood oxygen level-dependent MRI in patients with arterial steno-occlusive disease: comparison with arterial spin labeling MRI. Stroke 2008;39:2021–28 doi:10.1161/STROKEAHA.107.506709 pmid:18451352

    Abstract/FREE Full Text
31. 31.↵
    2. Thomas BP,
    3. Liu P,
    4. Aslan S, et al

    . Physiologic underpinnings of negative BOLD cerebrovascular reactivity in brain ventricles. Neuroimage 2013;83:505–12 doi:10.1016/j.neuroimage.2013.07.005 pmid:23851322

    CrossRefPubMed
32. 32.↵
    2. Lipp I,
    3. Murphy K,
    4. Caseras X, et al

    . Agreement and repeatability of vascular reactivity estimates based on a breath-hold task and a resting state scan. Neuroimage 2015;113:387–96 doi:10.1016/j.neuroimage.2015.03.004 pmid:25795342

    CrossRefPubMed
33. 33.↵
    2. Landis JR,
    3. Koch GG

    . The measurement of observer agreement for categorical data. Biometrics 1977;33:159–74 doi:10.2307/2529310 pmid:843571

    CrossRefPubMedWeb of Science
34. 34.↵
    2. Kosinski PD,
    3. Croal PL,
    4. Leung J, et al

    . The severity of anaemia depletes cerebrovascular dilatory reserve in children with sickle cell disease: a quantitative magnetic resonance imaging study. Br J Haematol 2017;176:280–87 doi:10.1111/bjh.14424 pmid:27905100

    CrossRefPubMed
35. 35.↵
    2. Prohovnik I,
    3. Hurlet-Jensen A,
    4. Adams R, et al

    . Hemodynamic etiology of elevated flow velocity and stroke in sickle-cell disease. J Cereb Blood Flow Metab 2009;29:803–10 doi:10.1038/jcbfm.2009.6 pmid:19209182

    CrossRefPubMedWeb of Science
36. 36.↵
    2. Abbott DF,
    3. Opdam HI,
    4. Briellmann RS, et al

    . Brief breath holding may confound functional magnetic resonance imaging studies. Hum Brain Mapp 2005;24:284–90 doi:10.1002/hbm.20086 pmid:15678482

    CrossRefPubMed
37. 37.↵
    2. Raut RV,
    3. Nair VA,
    4. Sattin JA, et al

    . Hypercapnic evaluation of vascular reactivity in healthy aging and acute stroke via functional MRI. Neuroimage Clin 2016;12:173–79 doi:10.1016/j.nicl.2016.06.016 pmid:27437178

    CrossRefPubMed