Whole Brain Volume Measured from 1.5T versus 3T MRI in Healthy Subjects and Patients with Multiple Sclerosis

被引:48
作者
Chu, Renxin [1 ]
Tauhid, Shahamat [1 ]
Glanz, Bonnie I. [1 ]
Healy, Brian C. [1 ]
Kim, Gloria [1 ]
Oommen, Vinit V. [1 ]
Khalid, Fariha [1 ]
Neema, Mohit [1 ]
Bakshi, Rohit [1 ,2 ]
机构
[1] Harvard Univ, Sch Med, Dept Neurol, Brigham & Womens Hosp,Lab Neuroimaging Res,Partne, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Dept Radiol, Brigham & Womens Hosp,Lab Neuroimaging Res,Partne, Boston, MA 02115 USA
关键词
Multiple sclerosis; brain volume; atrophy; cognitive impairment; disability; 3T; MRI; VOXEL-BASED MORPHOMETRY; CLINICALLY ISOLATED SYNDROMES; CEREBRAL ATROPHY; ROBUST; OPTIMIZATION; ACCURATE; LESIONS; REGISTRATION; SENSITIVITY; DISABILITY;
D O I
10.1111/jon.12271
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUNDWhole brain atrophy is a putative outcome measure in monitoring relapsing-remitting multiple sclerosis (RRMS). With the ongoing MRI transformation from 1.5T to 3T, there is an unmet need to calibrate this change. We evaluated brain parenchymal volumes (BPVs) from 1.5T versus 3T in MS and normal controls (NC). METHODSWe studied MS [n = 26, age (mean, range) 43 (21-55), 22 (85%) RRMS, Expanded Disability Status Scale (EDSS) 1.98 (0-6.5), timed 25 foot walk (T25FW) 5.95 (3.2-33.0 seconds)] and NC [n = 9, age 45 (31-53)]. Subjects underwent 1.5T (Phillips) and 3T (GE) 3-dimensional T1-weighted scans to derive normalized BPV from an automated SIENAX pipeline. Neuropsychological testing was according to consensus panel recommendations. RESULTSBPV-1.5T was higher than BPV-3T [mean (95% CI) + 45.7 mL (+35.3, +56.1), P < .00001], most likely due to improved tissue-CSF contrast at 3T. BPV-3T showed a larger volume decrease and larger effect size in detecting brain atrophy in MS versus NC [-74.5 mL (-126.5, -22.5), P = .006, d = .92] when compared to BPV-1.5T [-51.3.1 mL (-99.8, -2.8), P = .04, d = .67]. Correlations between BPV-1.5T and EDSS (r = -.43, P = .027) and BPV-3T and EDSS (r = -.49, P = .011) and between BPV-1.5T and T25FW (r = -.46, P = .018) and BPV-3T and T25FW (r = -.56, P = .003) slightly favored 3T. BPV-cognition correlations were significant (P < .05) for 6 of 11 subscales to a similar degree at 1.5T (r range = .44-.58) and 3T (r range = .43-.53). CONCLUSIONSField strength may impact whole brain volume measurements in patients with MS though the differences are not too divergent between 1.5T and 3T.
引用
收藏
页码:62 / 67
页数:6
相关论文
共 32 条
[1]   Measurement of brain and spinal cord atrophy by magnetic resonance imaging as a tool to monitor multiple sclerosis [J].
Bakshi, R ;
Dandamudi, VSR ;
Neema, M ;
De, C ;
Bermel, RA .
JOURNAL OF NEUROIMAGING, 2005, 15 (04) :30S-45S
[2]   Validity of the minimal assessment of cognitive function in multiple sclerosis (MACHMS) [J].
Benedict, Ralph H. B. ;
Cookfair, Diane ;
Gavett, Rebecca ;
Gunther, Mark ;
Munschauer, Frederick ;
Garg, Neeta ;
Weinstock-Guttman, Bianca .
JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2006, 12 (04) :549-558
[3]   Minimal neuropsychological assessment of MS patients: A consensus approach [J].
Benedict, RHB ;
Fischer, JS ;
Archibald, CJ ;
Arnett, PA ;
Beatty, WW ;
Bobholz, J ;
Chelune, GJ ;
Fisk, JD ;
Langdon, DW ;
Caruso, L ;
Foley, F ;
LaRocca, NG ;
Vowels, L ;
Weinstein, A ;
DeLuca, J ;
Rao, SM ;
Munschauer, F .
CLINICAL NEUROPSYCHOLOGIST, 2002, 16 (03) :381-397
[4]   Effect of high-dose simvastatin on brain atrophy and disability in secondary progressive multiple sclerosis (MS-STAT): a randomised, placebo-controlled, phase 2 trial [J].
Chataway, Jeremy ;
Schuerer, Nadine ;
Alsanousi, Ali ;
Chan, Dennis ;
MacManus, David ;
Hunter, Kelvin ;
Anderson, Val ;
Bangham, Charles R. M. ;
Clegg, Shona ;
Nielsen, Casper ;
Fox, Nick C. ;
Wilkie, David ;
Nicholas, Jennifer M. ;
Calder, Virginia L. ;
Greenwood, John ;
Frost, Chris ;
Nicholas, Richard .
LANCET, 2014, 383 (9936) :2213-2221
[5]   Comparing 3T and 1.5T MRI for Mapping Hippocampal Atrophy in the Alzheimer's Disease Neuroimaging Initiative [J].
Chow, N. ;
Hwang, K. S. ;
Hurtz, S. ;
Green, A. E. ;
Somme, J. H. ;
Thompson, P. M. ;
Elashoff, D. A. ;
Jack, C. R. ;
Weiner, M. ;
Apostolova, L. G. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2015, 36 (04) :653-660
[6]  
Cohen J, 2013, Statistical power analysis for the behavioral sciences, DOI [10.4324/9780203771587, DOI 10.4324/9780203771587]
[7]   Optimisation of the 3D MDEFT sequence for anatomical brain imaging: Technical implications at 1.5 and 3 T [J].
Deichmann, R ;
Schwarzbauer, C ;
Turner, R .
NEUROIMAGE, 2004, 21 (02) :757-767
[8]   Quantification of Global Cerebral Atrophy in Multiple Sclerosis from 3T MRI Using SPM: The Role of Misclassification Errors [J].
Dell'Oglio, Elisa ;
Ceccarelli, Antonia ;
Glanz, Bonnie I. ;
Healy, Brian C. ;
Tauhid, Shahamat ;
Arora, Ashish ;
Saravanan, Nikila ;
Bruha, Matthew J. ;
Vartanian, Alexander V. ;
Dupuy, Sheena L. ;
Benedict, Ralph H. B. ;
Bakshi, Rohit ;
Neema, Mohit .
JOURNAL OF NEUROIMAGING, 2015, 25 (02) :191-199
[9]   The Multiple Sclerosis Functional Composite measure (MSFC): an integrated approach to MS clinical outcome assessment [J].
Fischer, JS ;
Rudick, RA ;
Cutter, GR ;
Reingold, SC .
MULTIPLE SCLEROSIS JOURNAL, 1999, 5 (04) :244-250
[10]   Method for Simultaneous Voxel-Based Morphometry of the Brain and Cervical Spinal Cord Area Measurements Using 3D-MDEFT [J].
Freund, Patrick A. B. ;
Dalton, Catherine ;
Wheeler-Kingshott, Claudia A. M. ;
Glensman, Janice ;
Bradbury, David ;
Thompson, Alan J. ;
Weiskopf, Nikolaus .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2010, 32 (05) :1242-1247