Contributions
Abstract: EP1551
Type: ePoster
Abstract Category: Pathology and pathogenesis of MS - 21 Imaging
Objective: To investigate the relation between volumes of subcortical structures, diffusion properties of cortical lobes and fatigue score variation between two time points in Multiple Sclerosis.
Background: Fatigue affects 80-90% of Relapsing Remitting Multiple Sclerosis patients (RRMS). However, consistent longitudinal imaging correlates to changes in severity of fatigue remain elusive. Prior studies have implicated the role of thalamus, frontal and parietal lobes, corpus callosum and various white matter tracts in pathogenesis of fatigue in RRMS patients. The thalamic volume variation was reported to be significant in longitudinal studies on fatigue in MS.
Methods: 46 RRMS patients who reported MS-related fatigue (Fatigue Severity Scale (FSS) mean score: 1 - 7) were involved in this longitudinal retrospective imaging study at baseline and year one. Other causes of fatigue were excluded. Patients were relapse-free and not on steroid treatment within the last 3 months prior to screening. All patients had T2, MPRAGE and DTI images using the same MRI protocol. Using FreeSurfer program, we calculated the deep gray matter volumes and cortical thickness. Cross-modality technique was used to measure the DTI parameters of cortices. Pearson correlation was used to test the relationship between the variables.
Results: The pallidal volume (r2=0.292, p< 0.04) and right temporal cortex radial diffusivity (r2=0.314, p< 0.02) variation between two time points had significant inverse correlation with baseline fatigue score.
Conclusion: The changes in pallidal volume and radial diffusivity of right temporal cortex between the two time points reflects prognosis of fatigue in RRMS. Future research will focus on the association between volumetric changes of specific structures in RRMS population and fatigue score at the above time points, using tract based spatial statistics of structural and diffusion data.
Disclosure:
Kalyan Yarraguntla: Nothing to disclose.
Fen Bao: Nothing to disclose.
Sara Razmjou: Nothing to disclose.
Samuel Lichtman-Mikol: Nothing to disclose.
Rishi Sood: Nothing to disclose.
Carla Santiago: Nothing to disclose.
Navid Seraji-Bozorgzad: Nothing to disclose.
Evanthia Bernitsas: Research support from Novartis, Roche/Genetech, Chugai, Medimmune. Consulting fee from TEVA, Biogen, EMD Serono.
Abstract: EP1551
Type: ePoster
Abstract Category: Pathology and pathogenesis of MS - 21 Imaging
Objective: To investigate the relation between volumes of subcortical structures, diffusion properties of cortical lobes and fatigue score variation between two time points in Multiple Sclerosis.
Background: Fatigue affects 80-90% of Relapsing Remitting Multiple Sclerosis patients (RRMS). However, consistent longitudinal imaging correlates to changes in severity of fatigue remain elusive. Prior studies have implicated the role of thalamus, frontal and parietal lobes, corpus callosum and various white matter tracts in pathogenesis of fatigue in RRMS patients. The thalamic volume variation was reported to be significant in longitudinal studies on fatigue in MS.
Methods: 46 RRMS patients who reported MS-related fatigue (Fatigue Severity Scale (FSS) mean score: 1 - 7) were involved in this longitudinal retrospective imaging study at baseline and year one. Other causes of fatigue were excluded. Patients were relapse-free and not on steroid treatment within the last 3 months prior to screening. All patients had T2, MPRAGE and DTI images using the same MRI protocol. Using FreeSurfer program, we calculated the deep gray matter volumes and cortical thickness. Cross-modality technique was used to measure the DTI parameters of cortices. Pearson correlation was used to test the relationship between the variables.
Results: The pallidal volume (r2=0.292, p< 0.04) and right temporal cortex radial diffusivity (r2=0.314, p< 0.02) variation between two time points had significant inverse correlation with baseline fatigue score.
Conclusion: The changes in pallidal volume and radial diffusivity of right temporal cortex between the two time points reflects prognosis of fatigue in RRMS. Future research will focus on the association between volumetric changes of specific structures in RRMS population and fatigue score at the above time points, using tract based spatial statistics of structural and diffusion data.
Disclosure:
Kalyan Yarraguntla: Nothing to disclose.
Fen Bao: Nothing to disclose.
Sara Razmjou: Nothing to disclose.
Samuel Lichtman-Mikol: Nothing to disclose.
Rishi Sood: Nothing to disclose.
Carla Santiago: Nothing to disclose.
Navid Seraji-Bozorgzad: Nothing to disclose.
Evanthia Bernitsas: Research support from Novartis, Roche/Genetech, Chugai, Medimmune. Consulting fee from TEVA, Biogen, EMD Serono.