Brain MRI Lesion Load at 1.5T and 3T versus Clinical Status in Multiple Sclerosis

被引:89
作者
Stankiewicz, James M. [1 ,2 ]
Glanz, Bonnie I. [2 ]
Healy, Brian C. [2 ]
Arora, Ashish [2 ]
Neema, Mohit [2 ]
Benedict, Ralph H. B. [3 ]
Guss, Zachary D. [2 ]
Tauhid, Shahamat [2 ]
Buckle, Guy J. [2 ]
Houtchens, Maria K. [2 ]
Khoury, Samia J. [2 ]
Weiner, Howard L. [2 ]
Guttmann, Charles R. G. [1 ,2 ]
Bakshi, Rohit [1 ,2 ]
机构
[1] Harvard Univ, Sch Med, Brigham & Womens Hosp, Dept Neurol & Radiol,Partners MS Ctr, Brookline, MA 02445 USA
[2] Harvard Univ, Sch Med, Dept Neurol, Brookline, MA 02445 USA
[3] SUNY Buffalo, Dept Neurol, Buffalo, NY 14260 USA
基金
美国国家卫生研究院;
关键词
MRI; multiple sclerosis; cognitive testing; 1; 5T; 3T; STATUS SCALE EDSS; QUALITY-OF-LIFE; COGNITIVE IMPAIRMENT; DYSFUNCTION; ATROPHY; DISABILITY; VALIDITY; BURDEN; PREDICTION; FREQUENCY;
D O I
10.1111/j.1552-6569.2009.00449.x
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND/PURPOSE To assess correlation between brain lesions and clinical status with 1.5T and 3T magnetic resonance imaging (MRI). METHODS Brain MRI fluid-attenuated inversion-recovery (FLAIR) sequences were performed in 32 multiple sclerosis (MS) patients. Expanded Disability Status Scale (EDSS) score (mean +/- standard deviation) was 2 +/- 2.0 (range 0-8), disease duration 9.3 +/- 8.0 (range .8-29) years. RESULTS FLAIR lesion volume (FLLV) at 3T was higher than at 1.5T (P = .01). Correlation between 1.5T FLLV and EDSS score was poor, while 3T FLLV correlated moderately and significantly (r(s) = .39, P = .03). When controlling for age and depression, correlations between FLLV and cognitive measures were significant at 1.5T for the Judgment of Line Orientation test (JLO) (r(s) = -.44, P = .05), the Symbol Digit Modalities Test (SDMT) (r(s) = -.49, P = .02), and the California Verbal Learning Test Delayed Free Recall (CVLT DR) (r(s) = -.44, P = .04). Correlations at 3T were also significant for these tests, but of greater magnitude: JLO (r(s) = -.70, P = .0005), SDMT (r(s) = -.73, P = .0001), CVLT DR (r(s) = -.061, P = .003). Additional significant correlations obtained only at 3T included the 2 second-paced auditory serial addition test (r(s) = -.55, P = .01), the Brief Visuospatial Memory Test-Delayed Free Recall (r(s) = -.56, P = .007), and the California Verbal Learning Test Total Recall (r(s) = -.42, P = .05). CONCLUSION MRI at 3T may boost sensitivity and improve validity in MS brain lesion assessment.
引用
收藏
页码:e50 / e56
页数:7
相关论文
共 50 条
  • [21] Multislice brain myelin water fractions at 3T in multiple sclerosis
    Oh, Joonmi
    Han, Eric T.
    Lee, Michael C.
    Nelson, Sarah J.
    Pelletier, Daniel
    JOURNAL OF NEUROIMAGING, 2007, 17 (02) : 156 - 163
  • [22] R2*imaging of transfusional iron burden at 3T and comparison with 1.5T
    Storey, Pippa
    Thompson, Alexis A.
    Carqueville, Christine L.
    Wood, John C.
    de Freitas, R. Andrew
    Rigsby, Cynthia K.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 25 (03) : 540 - 547
  • [23] Myocardial T2*Imaging at 3T and 1.5T: A Pilot Study with Phantom and Normal Myocardium
    Chang, Suyon
    Park, Jinho
    Yang, Young-Joong
    Beck, Kyongmin Sarah
    Kim, Pan Ki
    Choi, Byoung Wook
    Jung, Jung Im
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2022, 9 (08)
  • [24] T2-weighted turbo spin-echo magnetic resonance imaging of canine brain anatomy at 1.5T, 3T, and 7T field strengths
    Jacqmot, Olivier
    Van Thielen, Bert
    Hespel, Adrien-Maxence
    Luijten, Peter R.
    de Mey, Johan
    Van Binst, Anne
    Provyn, Steven
    Tresignie, Jonathan
    ANATOMICAL RECORD-ADVANCES IN INTEGRATIVE ANATOMY AND EVOLUTIONARY BIOLOGY, 2022, 305 (01): : 222 - 233
  • [25] Comparison of native myocardial T1 and T2 mapping at 1.5T and 3T in healthy volunteersReference values and clinical implications
    Marcel Granitz
    Lukas J. Motloch
    Christina Granitz
    Matthias Meissnitzer
    Wolfgang Hitzl
    Klaus Hergan
    Alexander Schlattau
    Wiener klinische Wochenschrift, 2019, 131 : 143 - 155
  • [26] Intracortical lesions by 3T magnetic resonance imaging and correlation with cognitive impairment in multiple sclerosis
    Nelson, Flavia
    Datta, Sushmita
    Garcia, Nereyda
    Rozario, Nigel L.
    Perez, Francisco
    Cutter, Gary
    Narayana, Ponnada A.
    Wolinsky, Jerry S.
    MULTIPLE SCLEROSIS JOURNAL, 2011, 17 (09) : 1122 - 1129
  • [27] Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE
    La Rosa, Francesco
    Abdulkadir, Ahmed
    Fartaria, Mario Joao
    Rahmanzadeh, Reza
    Lu, Po-Jui
    Galbusera, Riccardo
    Barakovic, Muhamed
    Thiran, Jean-Philippe
    Granziera, Cristina
    Cuadra, Merixtell Bach
    NEUROIMAGE-CLINICAL, 2020, 27
  • [28] Quantification of Global Cerebral Atrophy in Multiple Sclerosis from 3T MRI Using SPM: The Role of Misclassification Errors
    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
  • [29] Qualitative Comparison of 0.27T, 1.5T, and 3T Magnetic Resonance Images of the Normal Equine Foot
    Bolen, Geraldine
    Audigie, Fabrice
    Spriet, Mathieu
    Vandenberghe, Filip
    Busoni, Valeria
    JOURNAL OF EQUINE VETERINARY SCIENCE, 2010, 30 (01) : 9 - 20
  • [30] Whole-brain atrophy assessed by proportional- versus registration-based pipelines from 3T MRI in multiple sclerosis
    Hemond, Christopher C.
    Chu, Renxin
    Tummala, Subhash
    Tauhid, Shahamat
    Healy, Brian C.
    Bakshi, Rohit
    BRAIN AND BEHAVIOR, 2018, 8 (08):