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7199365 
Journal Article 
Magnetic resonance diffusion tensor imaging for occult lesion detection in multiple sclerosis 
Chen, J; Zhou, C; Zhu, L; Yan, X; Wang, Y; Chen, Xin; Fang, S; , 
2017 
Yes 
Experimental and Therapeutic Medicine
ISSN: 1792-0981
EISSN: 1792-1015 
SPANDIDOS PUBL LTD 
ATHENS 
91-96 
28123474 
WOS:000393018600016 
It remains challenging to locate occult lesions in patients with multiple sclerosis (MS). Diffusion tensor imaging (DTI) has been demonstrated to have the potential to identify occult changes in MS lesions. The present study used 3.0T magnetic resonance DTI to investigate the characteristics of different stages of MS lesions. DTI parameters, fractional anisotropy (FA), mean diffusivity (MD), lambda// and lambda perpendicular to values of lesions were compared at the different stages of 10 patients with MS with 10 normal controls. The results demonstrated that FA and lambda// values of MS silent and subacute lesions are decreased and MD and lambda perpendicular to values are increased, as compared with those of normal appearing white matter (NAWM) and normal controls. NAWM FA values were lower, and MD, lambda//, and lambda perpendicular to values were higher than those of normal controls. It was also indicated that MS lesions had reduced color signals compared with the controls, and the lesion area appeared larger using DTI as compared with diffusion-weighted imaging. Furthermore, fiber abnormalities were detected in MS lesions using DTT, with fewer fibers connected to the lesion side, as compared with the contralateral side. FA, MD, lambda// and lambda perpendicular to values in the thalamus were increased, as compared with those of normal controls (P<0.05); whereas MD, lambda// and lambda perpendicular to values were significantly increased and FA values significantly decreased in the caudate nucleus and deep brain gray matter (DBGM) of patients with MS, as compared with the controls (P<0.05). lambda// and lambda perpendicular to values were also significantly increased in the DBGM of patients with MS as compared with normal controls (P<0.05). The present findings demonstrate that DTI may be useful in the characterization of MS lesions.