Quantification of diagnostic biomarkers to detect multiple sclerosis lesions employing 1H-MRSI at 3T

被引:6
|
作者
Vafaeyan, H. [1 ,2 ]
Ebrahimzadeh, S. A. [3 ]
Rahimian, N. [4 ]
Alavijeh, S. Karimi [1 ,5 ]
Madadi, A. [1 ]
Faeghi, F. [2 ]
Harirchian, M. H. [4 ]
Rad, H. Saligheh [1 ,5 ]
机构
[1] Tehran Univ Med Sci, Res Ctr Mol & Cellular Imaging, Quantitat MR Imaging & Spect Grp, Tehran, Iran
[2] Shahid Beheshti Univ Med Sci, Sch Para Med, Tehran, Iran
[3] Shahid Beheshti Univ Med Sci, Dept Radiol, Tehran, Iran
[4] Tehran Univ Med Sci, Iranian Ctr Neurol Res, Tehran, Iran
[5] Tehran Univ Med Sci, Med Phys & Biomed Engn Dept, Tehran, Iran
关键词
MRS; H-1-MRSI; Metabolite; Multiple sclerosis; Subtract-QUEST-MRSI; ECC; APPEARING WHITE-MATTER; LOCALIZED PROTON; BRAIN; SPECTROSCOPY; QUANTITATION;
D O I
10.1007/s13246-015-0390-1
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Proton magnetic resonance spectroscopic imaging (H-1-MRSI) enables the quantification of metabolite concentration ratios in the brain. The major purpose of the current work is to characterize NAA/Cho, NAA/Cr and Myo/Cr in multiple sclerosis (MS) patients, and to estimate their reproducibility in healthy controls. Twelve MS patients and five healthy volunteers were imaged using H-1-MRSI at 3T. Eddy current correction was performed using a single-voxel non-water suppressed acquisition on an external water phantom. Time-domain quantification was carried out using subtract-QUEST technique, and based on an optimal simulated metabolite database. Reproducibility was evaluated on the same quantified ratios in five normal subjects. An optimal database was created for the quantification of the MRSI data, consisting of choline (Cho), creatine (Cr), N-acetyl aspartate (NAA), lactate (Lac), lipids, myo-inositol (Myo) and glutamine + glutamate (Glx). Decreasing of NAA/Cr and NAA/Cho ratios, as well as an increase in Myo/Cr ratio were observed for MS patients in comparison with control group. Reproducibility of NAA/Cr, NAA/Cho and Myo/Cr in control group was 0.98, 0.87 and 0.64, respectively, expressed as the squared correlation coefficient R (2) between duplicate experiments. We showed that MRSI alongside the time-domain quantification of spectral ratios offers a sensitive and reproducible framework to differentiate MS patients from normals.
引用
收藏
页码:611 / 618
页数:8
相关论文
共 25 条
  • [1] Quantification of diagnostic biomarkers to detect multiple sclerosis lesions employing 1H-MRSI at 3T
    H. Vafaeyan
    S. A. Ebrahimzadeh
    N. Rahimian
    S. Karimi Alavijeh
    A. Madadi
    F. Faeghi
    M. H. Harirchian
    H. Saligheh Rad
    Australasian Physical & Engineering Sciences in Medicine, 2015, 38 : 611 - 618
  • [2] In Vivo 1H MRSI of Glycine in Brain Tumors at 3T
    Ganji, Sandeep K.
    Maher, Elizabeth A.
    Choi, Changho
    MAGNETIC RESONANCE IN MEDICINE, 2016, 75 (01) : 52 - 62
  • [3] Metabolic counterparts of sodium accumulation in multiple sclerosis: A whole brain 23Na-MRI and fast 1H-MRSI study
    Donadieu, Maxime
    Le Fur, Yann
    Maarouf, Adil
    Gherib, Soraya
    Ridley, Ben
    Pini, Lauriane
    Rapacchi, Stanislas
    Confort-Gouny, Sylviane
    Guye, Maxime
    Schad, Lothar R.
    Maudsley, Andrew A.
    Pelletier, Jean
    Audoin, Bertrand
    Zaaraoui, Wafaa
    Ranjeva, Jean-Philippe
    MULTIPLE SCLEROSIS JOURNAL, 2019, 25 (01) : 39 - 47
  • [4] Detectability of multiple sclerosis lesions with 3T MRI: A comparison of proton density-weighted and FLAIR sequences
    Schmidt, Christoph
    Hattingen, Elke
    Faehndrich, Julia
    Jurcoane, Alina
    Porto, Luciana
    JOURNAL OF NEURORADIOLOGY, 2012, 39 (01) : 51 - 56
  • [5] 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
  • [6] 1H-MRSI evidence for cortical gray matter pathology that is independent of cerebral white matter lesion load in patients with secondary progressive multiple sclerosis
    Caramanos, Zografos
    DiMaio, Salvatore
    Narayanan, Sridar
    Lapierre, Yves
    Arnold, Douglas L.
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2009, 282 (1-2) : 72 - 79
  • [7] Improved detection of multiple sclerosis lesions with T2-prepared double inversion recovery at 3T
    Costagli, Mauro
    Lapucci, Caterina
    Zaca, Domenico
    Bruschi, Nicolo
    Schiavi, Simona
    Castellan, Lucio
    Stemmer, Alto
    Roccatagliata, Luca
    Inglese, Matilde
    JOURNAL OF NEUROIMAGING, 2022, 32 (05) : 902 - 909
  • [8] Fully automated detection of paramagnetic rims in multiple sclerosis lesions on 3T susceptibility-based MR imaging
    Lou, Carolyn
    Sati, Pascal
    Absinta, Martina
    Clark, Kelly
    Dworkin, Jordan D.
    Valcarcel, Alessandra M.
    Schindler, Matthew K.
    Reich, Daniel S.
    Sweeney, Elizabeth M.
    Shinohara, Russell T.
    NEUROIMAGE-CLINICAL, 2021, 32
  • [9] Quantification of Perfusion and Permeability in Multiple Sclerosis Dynamic Contrast-Enhanced MRI in 3D at 3T
    Ingrisch, Michael
    Sourbron, Steven
    Morhard, Dominik
    Ertl-Wagner, Birgit
    Kuempfel, Tania
    Hohlfeld, Reinhard
    Reiser, Maximilian
    Glaser, Christian
    INVESTIGATIVE RADIOLOGY, 2012, 47 (04) : 252 - 258
  • [10] Central Vein Sign in Multiple Sclerosis: A Comparison Study of the Diagnostic Performance of 3T versus 7T MRI
    Okromelidze, Lela
    Patel, Vishal
    Singh, Rahul B.
    Chiriboga, Alfonso S. Lopez
    Tao, Shengzhen
    Zhou, Xiangzhi
    Straub, Sina
    Westerhold, Erin M.
    Gupta, Vivek
    Agarwal, Amit K.
    Murray, John V.
    Desai, Amit
    Sandhu, S. J. S.
    Collazo, I. Vanessa Marin
    Middlebrooks, Erik H.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2024, 45 (01) : 76 - 81