Current issue
Free subscription




Dyatlova A.A.1,2, Stankevich Y.A.1,2, Bogomyakova O.B.1,2, Vasilkiv L.V.1,2, Tulupov A.A.1,2


Purpose. To study the possibilities of diffusion tensor imaging in the dynamic assessment of an ischemic stroke.

Material and methods. A three-time MRI examination of 14 patients was performed: on 1-3 days, on 7-10 days and after 3-4 months after the manifestation of symptoms. Brain examinations were carried out on a 3T MRI scanner using a routine protocol and supplemented by diffusion tensor imaging in the area of ischemia. Postprocessing of DTI sequence data was performed using the DSI Studio software package.

Results. Within three months after the stroke, there was a significant decrease in the density of nerve bundles in the lesion and an increase in the density of bundles in the perifocal region; a significant decrease in fractional anisotropy and a significant increase in the coefficients of axial, radial, average diffusivity and the isotropic diffusion component derives from GQI analysis both in the focus of the ischemic lesion and in the perifocal region.

Discussion. The multidirectional changes in the density of nerve bundles with a predominance of the rate of neurore generation of the tracts over the rate of the process of neurodegeneration by 60%. Trends in the decrease in fractional anisotropy and increase in the mean diffusivity in the focus of ischemic lesion indicate the resolution of edema and the tendency of the environment of the brain tissue to isotropy in dynamics.

Conclusions. The obtained changes in the values of the density of nerve bundles, fractional anisotropy, axial, radial, average and isotropic diffusion suggest morphological changes in the brain tissue, also characterize the mechanisms of structural reorganization of the brain in the early post-stroke period.

1 - International Tomography Center, Siberian Branch of the Russian Academy of Sciences

2 - Novosibirsk State University. Novosibirsk, Russia.

Keywords: magnetic resonance imaging, diffusion tensor imaging, ischemic stroke.


Corresponding author: Dyatlova A.A., e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript


For citation: Dyatlova A.A., Stankevich Y.A., Bogomyakova O.B., Vasilkiv L.V., Tulupov A.A. Possibilities of diffusion tensor imaging in the dynamic assessment of an ischemic stroke. REJR 2022; 12(3):29-38. DOI: 10.21569/2222-7415-2022-12-3-29-38.

Received:        14.07.22 Accepted:       15.08.22