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Research ArticleAdult Brain
Open Access

Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging

R.E. Gabr, J.A. Lincoln, A. Kamali, O. Arevalo, X. Zhang, X. Sun, K.M. Hasan and P.A. Narayana
American Journal of Neuroradiology November 2020, 41 (11) 2062-2067; DOI: https://doi.org/10.3174/ajnr.A6797
R.E. Gabr
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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J.A. Lincoln
bNeurology (J.A.L.)
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A. Kamali
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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O. Arevalo
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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X. Zhang
cCenter for Clinical and Translational Sciences, (X.Z.), University of Texas Health Science Center at Houston, Houston, Texas.
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X. Sun
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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K.M. Hasan
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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P.A. Narayana
aFrom the Departments of Diagnostic and Interventional Imaging (R.E.G., A.K., O.A., X.S., K.M.H., PA.N.)
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References

  1. 1.↵
    1. Tullman MJ
    . Overview of the epidemiology, diagnosis, and disease progression associated with multiple sclerosis. Am J Manag Care 2013;19(2 Suppl):S15–20 pmid:23544716
    PubMed
  2. 2.↵
    1. Thompson AJ,
    2. Banwell BL,
    3. Barkhof F, et al
    . Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 2018;17:162–73 doi:10.1016/S1474-4422(17)30470-2 pmid:29275977
    CrossRefPubMed
  3. 3.↵
    1. McGowan JC,
    2. Patel RS
    . Technical issues for MRI examination of the posterior fossa. J Neurol Sci 2000;172:S40–42 doi:10.1016/S0022-510X(99)00277-4 pmid:10606805
    CrossRefPubMed
  4. 4.
    1. Stevenson V,
    2. Parker G,
    3. Barker G, et al
    . Variations in T1 and T2 relaxation times of normal appearing white matter and lesions in multiple sclerosis. J Neurol Sci 2000;178:81–87 doi:10.1016/s0022-510x(00)00339-7 pmid:11018698
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Datta S,
    2. Tao G,
    3. He R, et al
    . Improved cerebellar tissue classification on magnetic resonance images of brain. J Magn Reson Imaging 2009;29:1035–42 doi:.100/jmri.21734 pmid:19388122
    CrossRefPubMed
  6. 6.↵
    1. Gramsch C,
    2. Nensa F,
    3. Kastrup O, et al
    . Diagnostic value of 3D fluid attenuated inversion recovery sequence in multiple sclerosis. Acta Radiol 2015;56:622–27 doi:10.1177/0284185114534413 pmid:24867222
    CrossRefPubMed
  7. 7.↵
    1. Wang KY,
    2. Uribe TA,
    3. Lincoln CM
    . Comparing lesion detection of infratentorial multiple sclerosis lesions between T2-weighted spin-echo, 2D-FLAIR, and 3D-FLAIR sequences. Clin Imaging 2018;51:229–34 doi:10.1016/j.clinimag.2018.05.017 pmid:29879598
    CrossRefPubMed
  8. 8.↵
    1. Lecler A,
    2. El Sanharawi I,
    3. El Methni J, et al
    . Improving detection of multiple sclerosis lesions in the posterior fossa using an optimized 3D-FLAIR sequence at 3T. AJNR Am J Neuroradiol 2019;40:1170–76 doi:10.3174/ajnr.A6107 pmid:31248862
    Abstract/FREE Full Text
  9. 9.↵
    1. Gaitán MI,
    2. Yañes P,
    3. Sati P, et al
    . Optimal detection of infratentorial lesions with a combined dual-echo MRI sequence: “pT2.” Mult Scler 2016;22:1367–70 doi:10.1177/1352458515615226 pmid:26552729
    CrossRefPubMed
  10. 10.↵
    1. Gabr RE,
    2. Hasan KM,
    3. Haque ME, et al
    . Optimal combination of FLAIR and T2-weighted MRI for improved lesion contrast in multiple sclerosis. J Magn Reson Imaging 2016;44:1293–300 doi:10.1002/jmri.25281 pmid:27126898
    CrossRefPubMed
  11. 11.↵
    1. Avants BB,
    2. Tustison NJ,
    3. Stauffer M, et al
    . The Insight ToolKit image registration framework. Front Neuroinform 2014;8:44 doi:10.3389/fninf.2014.00044 pmid:24817849
    CrossRefPubMed
  12. 12.↵
    1. Li C,
    2. Gore JC,
    3. Davatzikos C
    . Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation. Magn Reson Imaging 2014;32:913–23 doi:10.1016/j.mri.2014.03.010 pmid:24928302
    CrossRefPubMed
  13. 13.↵
    1. Rorden CM
    . MRIcron. https://people.cas.sc.edu/rorden/mricron/index.html. Accssed October 2016
  14. 14.↵
    1. Aja-Fernández S,
    2. Tristán-Vega A,
    3. Alberola-López C
    . Noise estimation in single- and multiple-coil magnetic resonance data based on statistical models. Magn Reson Imaging 2009;27:1397–409 doi:10.1016/j.mri.2009.05.025 pmid:19570640
    CrossRefPubMed
  15. 15.↵
    1. Quattrocchi CC,
    2. Cherubini A,
    3. Luccichenti G, et al
    . Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study. Radiol Med 2010;115:115–24 doi:10.1007/s11547-009-0477-7 pmid:20017006
    CrossRefPubMed
  16. 16.↵
    1. Minneboo A,
    2. Barkhof F,
    3. Polman CH, et al
    . Infratentorial lesions predict long-term disability in patients with initial findings suggestive of multiple sclerosis. Arch Neurol 2004;61:217–21 doi:10.1001/archneur.61.2.217 pmid:14967769
    CrossRefPubMedWeb of Science
  17. 17.↵
    1. Hickman SJ,
    2. Brierley CMH,
    3. Silver NC, et al
    . Infratentorial hypointense lesion volume on T1-weighted magnetic resonance imaging correlates with disability in patients with chronic cerebellar ataxia due to multiple sclerosis. J Neurol Sci 2001;187:35–39 doi:10.1016/S0022-510X(01)00519-6 pmid:11440742
    CrossRefPubMedWeb of Science
  18. 18.↵
    1. Chong AL,
    2. Chandra RV,
    3. Chuah KC, et al
    . Proton density MRI increases detection of cervical spinal cord multiple sclerosis lesions compared with T2-weighted fast spin-echo. AJNR Am J Neuroradiol 2016;37:180–84 doi:10.3174/ajnr.A4476 pmid:26427838
    Abstract/FREE Full Text
  19. 19.↵
    1. Philpott C,
    2. Brotchie P
    . Comparison of MRI sequences for evaluation of multiple sclerosis of the cervical spinal cord at 3 T. Eur J Radiol 2011;80:780–85 doi:10.1016/j.ejrad.2010.09.031 pmid:21041051
    CrossRefPubMed
  20. 20.↵
    1. Poonawalla AH,
    2. Hou P,
    3. Nelson FA, et al
    . Cervical spinal cord lesions in multiple sclerosis: T1-weighted inversion-recovery MR imaging with phase-sensitive reconstruction. Radiology 2008;246:258–64 doi:10.1148/radiol.2463061900 pmid:17991786
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Filippi M,
    2. Preziosa P,
    3. Banwell BL, et al
    . Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines. Brain 2019;142:1858–75 doi:10.1093/brain/awz144 pmid:31209474
    CrossRefPubMed
  22. 22.↵
    1. Gabr RE,
    2. Pednekar AS,
    3. Kamali A, et al
    . Interleaved susceptibility-weighted and FLAIR MRI for imaging lesion-penetrating veins in multiple sclerosis. Magn Reson Med 2018;80:1132–37 doi:10.1002/mrm.27091 pmid:29334139
    CrossRefPubMed
  23. 23.↵
    1. Tustison NJ,
    2. Avants BB,
    3. Cook PA, et al
    . N4ITK: improved N3 bias correction. IEEE Trans Med Imaging 2010;29:1310–20 doi:10.1109/TMI.2010.2046908 pmid:20378467
    CrossRefPubMedWeb of Science
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American Journal of Neuroradiology: 41 (11)
American Journal of Neuroradiology
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R.E. Gabr, J.A. Lincoln, A. Kamali, O. Arevalo, X. Zhang, X. Sun, K.M. Hasan, P.A. Narayana
Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging
American Journal of Neuroradiology Nov 2020, 41 (11) 2062-2067; DOI: 10.3174/ajnr.A6797

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Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging
R.E. Gabr, J.A. Lincoln, A. Kamali, O. Arevalo, X. Zhang, X. Sun, K.M. Hasan, P.A. Narayana
American Journal of Neuroradiology Nov 2020, 41 (11) 2062-2067; DOI: 10.3174/ajnr.A6797
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