Correlation of clinical findings and brain volume data in multiple sclerosis (original) (raw)
Related papers
Critical analysis on the present methods for brain volume measurements in multiple sclerosis
Arquivos de Neuro-Psiquiatria, 2017
Objective The treatment of multiple sclerosis (MS) has quickly evolved from a time when controlling clinical relapses would suffice, to the present day, when complete disease control is expected. Measurement of brain volume is still at an early stage to be indicative of therapeutic decisions in MS. Methods This paper provides a critical review of potential biases and artifacts in brain measurement in the follow-up of patients with MS. Results Clinical conditions (such as hydration or ovulation), time of the day, type of magnetic resonance machine (manufacturer and potency), brain volume artifacts and different platforms for volumetric assessment of the brain can induce variations that exceed the acceptable physiological rate of annual loss of brain volume. Conclusion Although potentially extremely valuable, brain volume measurement still has to be regarded with caution in MS.
Association between brain volume and disability over time in multiple sclerosis
Multiple Sclerosis Journal - Experimental, Translational and Clinical
Background Most previous multiple sclerosis (MS) brain atrophy studies using MS impact scale 29 (MSIS-29) or symbol digit modalities test (SDMT) have been cross-sectional with limited sets of clinical outcomes. Objectives To investigate which brain and lesion volume metrics show the strongest long-term associations with the expanded disability status scale (EDSS), SDMT, and MSIS-29, and whether MRI-clinical associations vary with age. Methods We acquired MRI and clinical data from a real-world Swedish MS cohort. FreeSurfer and SPM Lesion Segmentation Tool were used to obtain brain parenchymal, cortical and subcortical grey matter, thalamic and white matter fractions as well as T1- and T2-lesion volumes. Mixed-effects and rolling regression models were used in the statistical analyses. Results We included 989 persons with MS followed for a median of 9.3 (EDSS), 10.1 (SDMT), and 9.3 (MSIS-29) years, respectively. In a cross-sectional analysis, the strength of the associations of the M...
Correlation between brain MRI lesion volume and disability in patients with multiple sclerosis
Acta Neurologica Scandinavica, 1996
Acta Neurol Scand 1996: 94: 93-96 Prinrcd in UKall rights reserved Copyrighr 0 Munksgaard 19% ACTA NEUROLOGICA SCANDINAVICA ISSN WOI -631 4 Correlation between brain MRI lesion volume and disability in patients with multiple sclerosis Mammi S, Filippi M, Martinelli V, Campi A, Colombo B, Scotti G, Canal N, Comi G. Correlation between brain MRI lesion volume and disability in patients with multiple sclerosis. Acta Neurol Scand 1995: 94: 93-96. 0 Munksgaard 1996.
Correlation between brain volume loss and clinical and MRI outcomes in multiple sclerosis
Neurology, 2015
We investigated the determinants and clinical correlations of MRI-detected brain volume loss (BVL) among patients with relapsing-remitting multiple sclerosis from the phase 3 trials of fingolimod: FREEDOMS, FREEDOMS II, and TRANSFORMS. Post hoc analyses were conducted in the intent-to-treat populations from each trial and in a combined dataset of 3,635 patients from the trials and their extensions. The relationship between brain volume changes and demographic, clinical, and MRI parameters was studied in pairwise correlations (Pearson) and in multiple regression models. The relative frequency of confirmed disability progression was evaluated in the combined dataset by strata of concurrent BVL at up to 4 years. Increasing age, disease duration, T2 lesion volume, T1-hypointense lesion volume, and disability were associated with reduced brain volume (p < 0.001, all). The strongest individual baseline predictors of on-study BVL were T2 lesion volume, gadolinium-enhancing lesion count,...
Assessing Biological and Methodological Aspects of Brain Volume Loss in Multiple Sclerosis
JAMA neurology, 2018
Before using brain volume loss (BVL) as a marker of therapeutic response in multiple sclerosis (MS), certain biological and methodological issues must be clarified. To assess the dynamics of BVL as MS progresses and to evaluate the repeatability and exchangeability of BVL estimates with Jacobian Integration (JI) and Functional Magnetic Resonance Imaging of the Brain (FMRIB) Software Library (FSL) (specifically, the Structural Image Evaluation, Using Normalisation, of Atrophy-Cross-Sectional [SIENA-X] tool or FMRIB's Integrated Registration and Segmentation Tool [FIRST]). A cohort of patients who had either clinically isolated syndrome or MS was enrolled from February 2011 through October 2015. All underwent a series of annual magnetic resonance imaging (MRI) scans. Images from 2 cohorts of healthy volunteers were used to evaluate short-term repeatability of the MRI measurements (n = 34) and annual BVL (n = 20). Data analysis occurred from January to May 2017. The goodness of fit...
Brain volume dynamics in multiple sclerosis. A case-control study
Neurological Research, 2019
Objectives: In this study, we aimed to explore the extent and clinical relevance of brain volume dynamics in relapsing remitting multiple sclerosis (RRMS). Methods: Sixty-three patients with RRMS with a disease duration of about 5 years (36 women, mean age 39.9 ± 9.4 years; mean EDSS1.4 ± 1.2, mean relapse rate 0.98 ± 1.17) and 50 healthy control individuals (24 women, mean age 39.1 ± 10.2 years) were recruited and imaged on a MRI scanner by using post-gadolinium high-resolution3D T1W sequences. Cross-sectional and longitudinal volumetric data were obtained by using SIENA(X) and FIRST software. Results: Patients showed significantly lower subcortical volumes compared to healthy controls. Interestingly, the educational level predicted the rate of right thalamus atrophy. The mean annualized percentage of brain volume change (aPBVC) was −0.92% (±1.64%) and was presented in higher rates during the first five years after MS diagnosis. Conclusion: Brain atrophy mainly involved subcortical grey matter structures and was more conspicuous during the first years of MS diagnosis. The buffering role of education in atrophy was also corroborated by this study.
Pathological cut-offs of global and regional brain volume loss in multiple sclerosis
Multiple sclerosis (Houndmills, Basingstoke, England), 2017
Volumetric MRI surrogate markers of disease progression are lacking. To establish cut-off values of brain volume loss able to discriminate between healthy controls and MS patients. In total, 386 patients after first demyelinating event suggestive of MS (CIS), 964 relapsing-remitting MS (RRMS) patients, 63 secondary-progressive MS (SPMS) patients and 58 healthy controls were included in this longitudinal study. A total of 11,438 MRI scans performed on the same MRI scanner with the same protocol were analysed. Annualised percentage changes of whole brain, grey matter, thalamus and corpus callosum volumes were estimated. We investigated cut-offs able to discriminate between healthy controls and MS patients. At a predefined specificity of 90%, the annualised percentage change cut-off of corpus callosum volume (-0.57%) was able to distinguish between healthy controls and patients with the highest sensitivity (51% in CIS, 48% in RRMS and 42% in SPMS patients). Lower sensitivities (22%-49%...
Journal of the Neurological Sciences, 1998
We compared the volumes of the brain as a whole and of different cerebral structures from patients with multiple sclerosis (MS) and normal subjects. In the patients, we also correlated brain volumes with T2 and T1 lesion loads and disability. A magnetization-prepared rapid acquisition gradient echo (MP RAGE) sequence with subsequent reconstruction of axial 1-mm thick slices and a dual-echo sequence were obtained in 15 patients with relapsing-remitting or secondary progressive MS and 15 sex-, age-, height-and weight-matched normal subjects. The brains and the different cerebral structures studied (cerebral hemispheres, cerebellum and brainstem) were segmented manually by a single observer on the 1-mm MP RAGE scans. The hyperintense lesion volumes seen on dual-echo scans and the hypointense lesion volumes seen on the 1-mm MP RAGE scans were measured using a semi-automated segmentation technique based on local thresholding. Compared to the normal volunteers, patients had significantly lower cerebral (P50.008), hemispheric (P50.01) and brainstem (P50.03) volumes. Cerebral atrophy was detected in seven (47%) MS patients. Patients with brainstem signs had significantly lower mean brainstem volume than the others (P50.04). No significant correlations were found between the cerebral volumes and the EDSS scores, the hyperintense lesion volumes and the hypointense lesion volumes. We conclude that cerebral atrophy is a relatively frequent finding in MS, but its relationship with physical disability is modest.
Evaluation of Brain Volume Loss in Different Clinical Types of Multiple Sclerosis Patients
The Medical Journal of Cairo University, 2018
Background: Brain atrophy is an important imaging biomarker in predicting future disability and progression of disease in multiple sclerosis. Aim of Study: We need to evaluate brain volume loss in different clinical types of MS and correlates it with physical disability using NeuroQuaqnt 2.0 automated volumetric measurement of brain atrophy in MS. Material and Methods: We conducted the following study on 40 MS patients (4 CIS, 8 PPMS, 22 RRMS and 6 SPMS) for clinical evaluation, assessment their physical disability by (EDSS) and automated volumetric measurement of 3 parameters (whole brain, lateral ventricles and thalami volumes) by obtain 3D T1 non contrast, saggital MRI scan by using new software (NeuroQuant®2.0 automated volumetric measurement of brain atrophy) of MS patients. Results: Thalami atrophy was predominant atrophy in 24 patients. Also, it was predominant atrophy in different clinical types (2 CIS, 4 PPMS, 12 RRMS and 6 SPMS) patients. Morphometry results were correlated with physical disability (whole brain volume r=-0.400, p=0.026), (thalami volume r=-0.379, p=0.016), and (lateral ventricles volume r=0.365, p=0.044). MS patients with (disease duration >1 year) had significant lower whole brain volume (p=0.037), lower thalami volume (p=0.019) and higher lateral ventricles volumes (p=0.044). Conclusion: Thalami atrophy is a predominant atrophy in different clinical types of MS patients. Thalami atrophy may be used a sole indices in brain atrophy measuring. Brain atrophy correlates with physical disability and progress with duration of illness.