METHOD FOR DIAGNOSTICS OF SPONDYLOGENIC CERVICAL MYELOPATHY WITHOUT SPINAL CORD COMPRESSION Russian patent published in 2018 - IPC A61B5/55 

Abstract RU 2657845 C1

FIELD: medicine.

SUBSTANCE: invention relates to medicine, namely to neurosurgery, neurology and radiodiagnosis, and can be used to diagnose spondylogenic cervical myelopathy without spinal cord compression. MRI of the cervical spine is performed by using a tomograph having an electromagnetic field with an intensity of 1.5 T. Image in the T1-weighted sequence is obtained in a sagittal plane, an image in the T2-weighted sequence is obtained in sagittal and axial planes, diffuse-tensor image (DTI) is obtained in an axial plane, a fat signal suppression image (SPIR) is obtained in a sagittal plane. Data on the diffusion of molecules at the scan level is collected in the plane perpendicular to the path of the spinal cord fibers with overlapping sections without gaps, with a section thickness of 2 mm, with a voxel size of 1.3 mm. For this purpose, square-shaped matrix 86×86 is used with subsequent reconstruction in 128×128. Diffusion-tensor images are obtained in 60 sections using 2 accumulations with an acceleration factor of 2, with the completion of images along the edges and diffusion acceleration factor 43. Collection of the molecule diffusion signal in 32 directions is used, with index TR = 4047 mc, TE = 84 mc, field of view – 120×170×170 mm. On the basis of diffuse-tensor MRI, with an increased diffusion coefficient (ADC) and a decreased fractional anisotropy index (FA), the condition of spondylogenic cervical myelopathy is diagnosed, wherein myelopathies of mild degree correspond to values from 0.50 to 0.31, medium degree – from 0.30 to 0.21, severe degree – from 0.20 and lower.

EFFECT: method provides early and accurate diagnosis of spondylogenic cervical myelopathy without spinal cord compression, the degree of spinal cord injury through the determination of fractional anisotropy (FA) and diffusion coefficient (ADC).

1 cl, 1 dwg, 1 tbl, 1 ex

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RU 2 657 845 C1

Authors

Bajgildina Irina Faskhutdinovna

Baskov Andrej Vladimirovich

Shiryaev Grigorij Andreevich

Baskov Vladimir Andreevich

Drakin Ivan Andreevich

Dates

2018-06-15Published

2017-06-28Filed