Estimation of white matter hyperintensities with synthetic MRI myelin volume fraction in patients with multiple sclerosis and non-multiple- sclerosis white matter hyperintensities: A pilot study among the Indian population

被引:2
作者
Nasser, Nisha Syed [1 ]
Sharma, Krish [2 ]
Mehta, Parv Mahendra [1 ]
Mahajan, Vidur [2 ]
Mahajan, Harsh [1 ]
Venugopal, Vasantha Kumar [2 ]
机构
[1] Mahajan Imaging Pvt Ltd, New Delhi, India
[2] CARPLAI, New Delhi, India
关键词
synthetic MRI; myelin loss; multiple sclerosis; MAGiC; white matter fraction; PATHOLOGY;
D O I
10.3934/Neuroscience.2023011
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
AIM: Synthetic MRI (SyMRI) works on the MDME sequence, which acquires the relaxation properties of the brain and helps to measure the accurate tissue properties in 6 minutes. The aim of this study was to evaluate the synthetic MRI (SyMRI)-generated myelin (MyC) to white matter (WM) ratio, the WM fraction (WMF), MyC partial maps performing normative brain volumetry to investigate MyC loss in multiple sclerosis (MS) patients with white-matter hyperintensites (WMHs) and non-MS patients with WMHs in a clinical setting. MATERIALS and METHODS: Synthetic MRI images were acquired from 15 patients with MS, and from 15 non-MS patients on a 3T MRI scanner (Discovery MR750w; GE Healthcare; Milwaukee, USA) using MAGiC, a customized version of SyntheticMR's SyMRI (R) IMAGE software marketed by GE Healthcare under a license agreement. Fast multi-delay multi-echo acquisition was performed with a 2D axial pulse sequence with different combinations of echo time (TEs) and saturation delay times. The total image acquisition time was 6 minutes. SyMRI image analysis was done using SyMRI software (SyMRI Version: 11.3.6; Synthetic MR, Linkoping, Sweden). SyMRI data were used to generate the MyC partial maps and WMFs to quantify the signal intensities of test group and control group, andcontrol group , and their mean values were recorded. All patients also underwent conventional diffusion-weighted imaging, i.e., T1w and T2w imaging. RESULTS: The results showed that the WMF was significantly lower in the test group than in the control group (38.8% vs 33.2%, p < 0.001). The Mann-Whitney U nonparametric t-test revealed a significant difference in the mean myelin volume between the test group and the control group (158.66 +/- 32.31 vs. 138.29 +/- 29.28, p = 0.044). Also, there were no significant differences in the gray matter fraction and intracranial volume between the test group and the control group. CONCLUSIONS: We observed MyC loss in test group using quantitative SyMRI. Thus, myelin loss in MS patients can be quantitatively evaluated using SyMRI.
引用
收藏
页码:144 / 153
页数:10
相关论文
共 8 条
[1]   3D Quantitative Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions [J].
Fujita, S. ;
Yokoyama, K. ;
Hagiwara, A. ;
Kato, S. ;
Andica, C. ;
Kamagata, K. ;
Hattori, N. ;
Abe, O. ;
Aoki, S. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2021, 42 (03) :471-478
[2]   Grey matter pathology in multiple sclerosis [J].
Geurts, Jeroen J. G. ;
Barkhof, Frederik .
LANCET NEUROLOGY, 2008, 7 (09) :841-851
[3]  
Ghasemi N, 2017, CELL J, V19, P1
[4]   Synthetic MRI in the Detection of Multiple Sclerosis Plaques [J].
Hagiwara, A. ;
Hori, M. ;
Yokoyama, K. ;
Takemura, M. Y. ;
Andica, C. ;
Tabata, T. ;
Kamagata, K. ;
Suzuki, M. ;
Kumamaru, K. K. ;
Nakazawa, M. ;
Takano, N. ;
Kawasaki, H. ;
Hamasaki, N. ;
Kunimatsu, A. ;
Aoki, S. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2017, 38 (02) :257-263
[5]   SyMRI of the Brain Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement [J].
Hagiwara, Akifumi ;
Warntjes, Marcel ;
Hori, Masaaki ;
Andica, Christina ;
Nakazawa, Misaki ;
Kumamaru, Kanako Kunishima ;
Abe, Osamu ;
Aoki, Shigeki .
INVESTIGATIVE RADIOLOGY, 2017, 52 (10) :647-657
[6]   Grey matter damage in multiple sclerosis A pathology perspective [J].
Klaver, Roel ;
De Vries, Helga E. ;
Schenk, Geert J. ;
Geurts, Jeroen J. G. .
PRION, 2013, 7 (01) :66-75
[7]   Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence [J].
McKinley, Richard ;
Wepfer, Rik ;
Grunder, Lorenz ;
Aschwanden, Fabian ;
Fischer, Tim ;
Friedli, Christoph ;
Muri, Raphaela ;
Rummel, Christian ;
Verma, Rajeev ;
Weisstanner, Christian ;
Wiestler, Benedikt ;
Berger, Christoph ;
Eichinger, Paul ;
Muhlau, Mark ;
Reyes, Mauricio ;
Salmen, Anke ;
Chan, Andrew ;
Wiest, Roland ;
Wagner, Franca .
NEUROIMAGE-CLINICAL, 2020, 25
[8]   Synthetic MRI for Clinical Neuroimaging: Results of the Magnetic Resonance Image Compilation (MAGiC) Prospective, Multicenter, Multireader Trial [J].
Tanenbaum, L. N. ;
Tsiouris, A. J. ;
Johnson, A. N. ;
Naidich, T. P. ;
DeLano, M. C. ;
Melhem, E. R. ;
Quarterman, P. ;
Parameswaran, S. X. ;
Shankaranarayanan, A. ;
Goyen, M. ;
Field, A. S. .
AMERICAN JOURNAL OF NEURORADIOLOGY, 2017, 38 (06) :1103-1110