BACKGROUND: Several studies have identified changes in the spinal cord DTI measurements in patients with multiple sclerosis (MS). However, correlations between changes in DTI parameters in normal appearing cervical spine and neurological findings have not been clearly established. OBJECTIVES: To determine whether diffusion tensor imaging (DTI) measurements such as fractional anisotropy (FA) and apparent diffusion coefficient (ADC) are sufficiently sensitive in detecting microstructure alterations in normal-appearing spinal cords in patients with MS and whether they reflect these patients' clinical disability. MATERIAL AND METHODS: Fifteen patients diagnosed with relapsing-remitting MS (RRMS) with normal-appearing cervical spinal cords on plain MRI and 11 asymptomatic volunteers were enrolled in the study. Overall, 75 cervical spinal segments were analyzed. The regions of interest were drawn from the entire spinal cord cross-section and in the normal-appearing white matter tracts: the superior and inferior cerebellar peduncles and the posterior limbs of the internal capsules. Neurological deficit and the level of disability were evaluated using the Expanded Disability Status Scale (EDSS), the timed 25-foot walk test (T25FW) and the 9-hole peg test (9HPT) for manual dexterity. RESULTS: A significant difference (p < 0.05) in FA values between patients with MS and the control group was found at levels C2 (p = 0.047) and C3 (p = 0.023). No significant changes in ADC values were found. There was correlation between FA and ADC values in selected white matter tracts and at particular spinal cord levels. We also observed significant correlations between diffusion tensor imaging parameters and manual dexterity. CONCLUSIONS: Our preliminary results may suggest that the spinal cord's structural loss is the dominant factor in the inflammatory/demyelinating component in patients with MS. Diffusion tensor imaging changes in the spinal cord correlate with brain DTI changes. Manual functioning seems to be more affected than walking.
BACKGROUND: Several studies have identified changes in the spinal cord DTI measurements in patients with multiple sclerosis (MS). However, correlations between changes in DTI parameters in normal appearing cervical spine and neurological findings have not been clearly established. OBJECTIVES: To determine whether diffusion tensor imaging (DTI) measurements such as fractional anisotropy (FA) and apparent diffusion coefficient (ADC) are sufficiently sensitive in detecting microstructure alterations in normal-appearing spinal cords in patients with MS and whether they reflect these patients' clinical disability. MATERIAL AND METHODS: Fifteen patients diagnosed with relapsing-remitting MS (RRMS) with normal-appearing cervical spinal cords on plain MRI and 11 asymptomatic volunteers were enrolled in the study. Overall, 75 cervical spinal segments were analyzed. The regions of interest were drawn from the entire spinal cord cross-section and in the normal-appearing white matter tracts: the superior and inferior cerebellar peduncles and the posterior limbs of the internal capsules. Neurological deficit and the level of disability were evaluated using the Expanded Disability Status Scale (EDSS), the timed 25-foot walk test (T25FW) and the 9-hole peg test (9HPT) for manual dexterity. RESULTS: A significant difference (p < 0.05) in FA values between patients with MS and the control group was found at levels C2 (p = 0.047) and C3 (p = 0.023). No significant changes in ADC values were found. There was correlation between FA and ADC values in selected white matter tracts and at particular spinal cord levels. We also observed significant correlations between diffusion tensor imaging parameters and manual dexterity. CONCLUSIONS: Our preliminary results may suggest that the spinal cord's structural loss is the dominant factor in the inflammatory/demyelinating component in patients with MS. Diffusion tensor imaging changes in the spinal cord correlate with brain DTI changes. Manual functioning seems to be more affected than walking.
Authors: Francisco Grandas; Manuel Desco; Francisco J Navas-Sánchez; Luis Marcos-Vidal; Daniel Martín de Blas; Alberto Fernández-Pena; Yasser Alemán-Gómez; Juan A Guzmán-de-Villoria; Julia Romero; Irene Catalina; Laura Lillo; José L Muñoz-Blanco; Andrés Ordoñez-Ugalde; Beatriz Quintáns; María-Jesús Sobrido; Susanna Carmona Journal: J Neurol Date: 2022-01-09 Impact factor: 4.849