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] Traumatic Meniscus and Cruciate Ligament Tears in Young Patients: A Comparison of 3T Versus 1.5T MRI
    Nouri, Nasreddine
    Bouaziz, Mouna Chelli
    Riahi, Hend
    Mechri, Meriem
    Kherfani, Abdelhakim
    Ouertatani, Moez
    Ladeb, Mohamed Fethi
    JOURNAL OF THE BELGIAN SOCIETY OF RADIOLOGY, 2017, 101 (01):
  • [22] Clinical 1H magnetic resonance spectroscopy of brain metastases at 1.5T and 3T
    Sjobakk, TE
    Lundgren, S
    Kristoffersen, A
    Singstad, T
    Svarliaunet, AJ
    Sonnewald, U
    Gribbestad, IS
    ACTA RADIOLOGICA, 2006, 47 (05) : 501 - 508
  • [23] Susceptibility Effects in Hyperpolarized 3He Lung MRI at 1.5T and 3T
    Deppe, Martin H.
    Parra-Robles, Juan
    Ajraoui, Salma
    Parnell, Steven R.
    Clemence, Matthew
    Schulte, Rolf F.
    Wild, Jim M.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2009, 30 (02) : 418 - 423
  • [24] Dual-Sensitivity Multiple Sclerosis Lesion and CSF Segmentation for Multichannel 3T Brain MRI
    Meier, Dominik S.
    Guttmann, Charles R. G.
    Tummala, Subhash
    Moscufo, Nicola
    Cavallari, Michele
    Tauhid, Shahamat
    Bakshi, Rohit
    Weiner, Howard L.
    JOURNAL OF NEUROIMAGING, 2018, 28 (01) : 36 - 47
  • [25] Applications of dielectric pads, novel materials and resonators in 1.5T and 3T MRI
    Slobozhanyuk, A.
    Zivkovic, I.
    Shchelokova, A.
    Mikhailovskaya, A.
    Sushkov, I.
    Nenasheva, E.
    Melchakova, I.
    Belov, P.
    Webb, A.
    METANANO 2019, 2020, 1461
  • [26] Applicability of deep learning-based reconstruction trained by brain and knee 3T MRI to lumbar 1.5T MRI
    Kashiwagi, Nobuo
    Tanaka, Hisashi
    Yamashita, Yuichi
    Takahashi, Hiroto
    Kassai, Yoshimori
    Fujiwara, Masahiro
    Tomiyama, Noriyuki
    ACTA RADIOLOGICA OPEN, 2021, 10 (06)
  • [27] Strengths and Weaknesses of 1.5T and 3T MRS Data in Brain Glioma Classification
    Kounelakis, M. G.
    Dimou, I. N.
    Zervakis, M. E.
    Tsougos, I.
    Tsolaki, E.
    Kousi, E.
    Kapsalaki, E.
    Theodorou, K.
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2011, 15 (04): : 647 - 654
  • [28] T1 at 1.5T and 3T compared with conventional T2*at 1.5T for cardiac siderosis
    Alam, Mohammed H.
    Auger, Dominique
    Smith, Gillian C.
    He, Taigang
    Vassiliou, Vassilis
    Baksi, A. John
    Wage, Rick
    Drivas, Peter
    Feng, Yanqiu
    Firmin, David N.
    Pennell, Dudley J.
    JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2015, 17
  • [29] Comparison of 1.5T vs. 3T MRI of brain for target delineation in glioblastoma Multiforme (GBM) patients
    Al-Dhaibani, N.
    Pervez, N.
    Stanescu, T.
    Fallone, G.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2007, 69 (03): : S653 - S653
  • [30] T1 at 1.5T and 3T compared with conventional T2* at 1.5T for cardiac siderosis
    Mohammed H. Alam
    Dominique Auger
    Gillian C. Smith
    Taigang He
    Vassilis Vassiliou
    A. John Baksi
    Rick Wage
    Peter Drivas
    Yanqiu Feng
    David N. Firmin
    Dudley J. Pennell
    Journal of Cardiovascular Magnetic Resonance, 17