Detection of Leukocortical Lesions in Multiple Sclerosis and Their Association with Physical and Cognitive Impairment: A Comparison of Conventional and Synthetic Phase-Sensitive Inversion Recovery MRI

References

1. 1.↵
   2. Peterson JW,
   3. Trapp BD

   . Neuropathobiology of multiple sclerosis. Neurol Clin 2005;23:107–29, vi–vii pmid:15661090

   CrossRefPubMedWeb of Science
2. 2.↵
   2. Chiaravalloti ND,
   3. DeLuca J

   . Cognitive impairment in multiple sclerosis. Lancet Neurol 2008;7:1139–51 doi:10.1016/S1474-4422(08)70259-X pmid:19007738

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Odenthal C,
   3. Coulthard A

   . The prognostic utility of MRI in clinically isolated syndrome: a literature review. AJNR Am J Neuroradiol 2015;36:425–31 doi:10.3174/ajnr.A3954 pmid:24831592

   Abstract/FREE Full Text
4. 4.↵
   2. Nelson F,
   3. Poonawalla AH,
   4. Hou P, et al

   . Improved identification of intracortical lesions in multiple sclerosis with phase-sensitive inversion recovery in combination with fast double inversion recovery MR imaging. AJNR Am J Neuroradiol 2007;28:1645–49 doi:10.3174/ajnr.A0645 pmid:17885241

   Abstract/FREE Full Text
5. 5.↵
   2. Geurts JJ,
   3. Bö L,
   4. Pouwels PJ, et al

   . Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology. AJNR Am J Neuroradiol 2005;26:572–77 pmid:15760868

   Abstract/FREE Full Text
6. 6.↵
   2. Calabrese M,
   3. Agosta F,
   4. Rinaldi F, et al

   . Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 2009;66:1144–50 pmid:19752305

   CrossRefPubMedWeb of Science
7. 7.↵
   2. Filippi M,
   3. Rocca MA,
   4. Calabrese M, et al

   . Intracortical lesions: relevance for new MRI diagnostic criteria for multiple sclerosis. Neurology 2010;75:1988–94 doi:10.1212/WNL.0b013e3181ff96f6 pmid:21115953

   Abstract/FREE Full Text
8. 8.↵
   2. Rocca MA,
   3. Amato MP,
   4. De Stefano N, et al

   ; MAGNIMS Study Group. Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurol 2015;14:302–17 doi:10.1016/S1474-4422(14)70250-9 pmid:25662900

   CrossRefPubMed
9. 9.↵
   2. Filippi M,
   3. Rocca MA,
   4. Ciccarelli O, et al

   ; MAGNIMS Study Group. MRI criteria for the diagnosis of multiple sclerosis: MAGNIMS consensus guidelines. Lancet Neurol 2016;15:292–303 doi:10.1016/S1474-4422(15)00393-2 pmid:26822746

   CrossRefPubMed
10. 10.↵
    2. Nelson F,
    3. Datta S,
    4. Garcia N, et al

    . Intracortical lesions by 3T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis. Mult Scler 2011;17:1122–29 doi:10.1177/1352458511405561 pmid:21543552

    CrossRefPubMed
11. 11.↵
    2. Nielsen AS,
    3. Kinkel RP,
    4. Madigan N, et al

    . Contribution of cortical lesion subtypes at 7T MRI to physical and cognitive performance in MS. Neurology 2013;81:641–49 doi:10.1212/WNL.0b013e3182a08ce8 pmid:23864311

    Abstract/FREE Full Text
12. 12.↵
    2. Warntjes JB,
    3. Leinhard OD,
    4. West J, et al

    . Rapid magnetic resonance quantification on the brain: optimization for clinical usage. Magn Reson Med 2008;60:320–29 doi:10.1002/mrm.21635 pmid:18666127

    CrossRefPubMed
13. 13.↵
    2. Granberg T,
    3. Uppman M,
    4. Hashim F, et al

    . Clinical feasibility of synthetic MRI in multiple sclerosis: a diagnostic and volumetric validation study. AJNR Am J Neuroradiol 2016;37:1023–29 doi:10.3174/ajnr.A4665 pmid:26797137

    Abstract/FREE Full Text
14. 14.↵
    2. Hagiwara A,
    3. Hori M,
    4. Yokoyama K, et al

    . Synthetic MRI in the detection of multiple sclerosis plaques. AJNR Am J Neuroradiol 2017;38:257–63 doi:10.3174/ajnr.A5012 pmid:27932506

    Abstract/FREE Full Text
15. 15.↵
    2. Krauss W,
    3. Gunnarsson M,
    4. Nilsson M, et al

    . Conventional and synthetic MRI in multiple sclerosis: a comparative study. Eur Radiol 2018;28:1692–1700 doi:10.1007/s00330-017-5100-9 pmid:29134354

    CrossRefPubMed
16. 16.↵
    2. Polman CH,
    3. Reingold SC,
    4. Banwell B, et al

    . Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302 doi:10.1002/ana.22366 pmid:21387374

    CrossRefPubMedWeb of Science
17. 17.↵
    2. Lublin FD,
    3. Reingold SC,
    4. Cohen JA, et al

    . Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 2014;83:278–86 doi:10.1212/WNL.0000000000000560 pmid:24871874

    CrossRefPubMed
18. 18.↵
    2. Schmidt P,
    3. Gaser C,
    4. Arsic M, et al

    . An automated tool for detection of FLAIR-hyperintense white-matter lesions in multiple sclerosis. Neuroimage 2012;59:3774–83 doi:10.1016/j.neuroimage.2011.11.032 pmid:22119648

    CrossRefPubMed
19. 19.↵
    2. Smith SM,
    3. Jenkinson M,
    4. Woolrich MW, et al

    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(Suppl 1):S208–19 doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092

    CrossRefPubMedWeb of Science
20. 20.↵
    2. Yushkevich PA,
    3. Piven J,
    4. Hazlett HC, et al

    . User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 2006;31:1116–28 doi:10.1016/j.neuroimage.2006.01.015 pmid:16545965

    CrossRefPubMedWeb of Science
21. 21.↵
    2. Cicchetti D

    . Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instrument in psychology. Psychological Assessment 1994;6:284–90 doi:10.1037/1040-3590.6.4.284

    CrossRef
22. 22.↵
    2. Benjamini Y,
    3. Hochberg Y

    . Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society Series B (Methodological) 1995;57:289–300

    CrossRefWeb of Science
23. 23.↵
    2. Thompson AJ,
    3. Banwell BL,
    4. 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
24. 24.↵
    2. Preziosa P,
    3. Rocca MA,
    4. Mesaros S, et al

    . Diagnosis of multiple sclerosis: a multicentre study to compare revised McDonald-2010 and Filippi-2010 criteria. J Neurol Neurosurg Psychiatry 2018;89:316–18 doi:10.1136/jnnp-2017-315863 pmid:28724720

    FREE Full Text
25. 25.↵
    2. Seewann A,
    3. Kooi EJ,
    4. Roosendaal SD, et al

    . Postmortem verification of MS cortical lesion detection with 3D DIR. Neurology 2012;78:302–08 doi:10.1212/WNL.0b013e31824528a0 pmid:22218278

    Abstract/FREE Full Text
26. 26.↵
    2. Sethi V,
    3. Yousry TA,
    4. Muhlert N, et al

    . Improved detection of cortical MS lesions with phase-sensitive inversion recovery MRI. J Neurol Neurosurg Psychiatry 2012;83:877–82 doi:10.1136/jnnp-2012-303023 pmid:22807559

    Abstract/FREE Full Text
27. 27.↵
    2. Nielsen AS,
    3. Kinkel RP,
    4. Tinelli E, et al

    . Focal cortical lesion detection in multiple sclerosis: 3 Tesla DIR versus 7 Tesla FLASH-T2. J Magn Reson Imaging 2012;35:537–42 doi:10.1002/jmri.22847 pmid:22045554

    CrossRefPubMed
28. 28.↵
    2. Mainero C,
    3. Benner T,
    4. Radding A, et al

    . In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI. Neurology 2009;73:941–48 doi:10.1212/WNL.0b013e3181b64bf7 pmid:19641168

    Abstract/FREE Full Text
29. 29.↵
    2. Favaretto A,
    3. Poggiali D,
    4. Lazzarotto A, et al

    . The parallel analysis of phase sensitive inversion recovery (PSIR) and double inversion recovery (DIR) images significantly improves the detection of cortical lesions in multiple sclerosis (MS) since clinical onset. PLoS One 2015;10:e0127805 doi:10.1371/journal.pone.0127805 pmid:26010425

    CrossRefPubMed
30. 30.↵
    2. Nelson F,
    3. Poonawalla A,
    4. Datta S, et al

    . Is 3D MPRAGE better than the combination DIR/PSIR for cortical lesion detection at 3T MRI? Mult Scler Relat Disord 2014;3:253–57 doi:10.1016/j.msard.2013.10.002 pmid:25878013

    CrossRefPubMed
31. 31.↵
    2. Maranzano J,
    3. Rudko DA,
    4. Arnold DL, et al

    . Manual segmentation of MS cortical lesions using MRI: a comparison of 3 MRI reading protocols. AJNR Am J Neuroradiol 2016;37:1623–28 doi:10.3174/ajnr.A4799 pmid:27197988

    Abstract/FREE Full Text