scholarly journals Slowly eroding lesions in multiple sclerosis

2016 ◽  
Vol 23 (3) ◽  
pp. 464-472 ◽  
Author(s):  
Varun Sethi ◽  
Govind Nair ◽  
Martina Absinta ◽  
Pascal Sati ◽  
Arun Venkataraman ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Mixed Model ◽  
Pathological Process ◽  
Tissue Loss ◽  
Proton Density ◽  
Lesion Volume ◽  
Surprising Result ◽  
Volume Changes ◽  
Magnetic Resonance Imaging Mri

Background: At autopsy, 20%–40% of chronic multiple sclerosis (MS) lesions are labeled “slowly expanding” and feature myelin phagocytosis at the lesion edge. As pathological lesion classification relies on a single, terminal time point, the rate of lesion expansion cannot be directly measured. Objective: To study long-term volume changes in individual MS lesions. Methods: Volumes of individual lesions on proton density magnetic resonance imaging (MRI) acquired between 1992 and 2015 were measured in 22 individuals (one lesion per person). After correction for acquisition protocol, a mixed model evaluated lesion volume changes. Results: The mean (standard deviation) lesion volume at baseline was 142 (82) mL, falling to 74 (51) mL after 16 (3) years. All lesions shrank over time. Change in lesion volume did not correlate with change in supratentorial brain volume ( p = 0.33). In simulations, the results could be explained by a process of slow radial expansion superimposed on substantially more rapid resorption of damaged tissue. Conclusion: We noted sustained radiological contraction of MS lesions, a surprising result given that fresh myelin breakdown products within chronic active lesions are observed relatively frequently at autopsy. Therefore, the primary pathological process in chronic lesions, even those described as “slowly expanding,” is likely to be tissue loss.

Mild gray matter atrophy in patients with long-standing multiple sclerosis and favorable clinical course

2021 ◽  
pp. 135245852110196
Author(s):  
Rosa Cortese ◽  
Marco Battaglini ◽  
Francesca Parodi ◽  
Maria Laura Stromillo ◽  
Emilio Portaccio ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Gray Matter ◽  
Clinical Course ◽  
Resonance Imaging ◽  
Volume Changes ◽  
Magnetic Resonance Imaging Mri ◽  
Global Brain ◽  
Diffuse Brain

The mechanisms responsible for the favorable clinical course in multiple sclerosis (MS) remain unclear. In this longitudinal study, we assessed whether magnetic resonance imaging (MRI)-based changes in focal and diffuse brain damage are associated with a long-term favorable MS diseases course. We found that global brain and gray matter (GM) atrophy changes were milder in MS patients with long-standing disease (⩾30 years from onset) and favorable (no/minimal disability) clinical course than in sex-age-matched disable MS patients, independently of lesions accumulation. Data showed that different trajectories of volume changes, as reflected by mild GM atrophy, may characterize patients with long-term favorable evolution.

Relevance of hypointense brain MRI lesions for long-term worsening of clinical disability in relapsing multiple sclerosis

2013 ◽  
Vol 20 (2) ◽  
pp. 214-219 ◽  
Author(s):  
Antonio Giorgio ◽  
Maria Laura Stromillo ◽  
Maria Letizia Bartolozzi ◽  
Francesca Rossi ◽  
Marco Battaglini ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Brain Mri ◽  
Univariate Analysis ◽  
Brain Lesion ◽  
Brain Magnetic Resonance Imaging ◽  
Stepwise Multiple Regression ◽  
Lesion Volume ◽  
Magnetic Resonance Imaging Mri ◽  
Relapsing Remitting Multiple Sclerosis

Background: The accrual of brain focal pathology is considered a good substrate of disability in relapsing–remitting multiple sclerosis (RRMS). However, knowledge on long-term lesion evolution and its relationship with disability progression is poor. Objective: The objective of this paper is to evaluate in RRMS the long-term clinical relevance of brain lesion evolution. Methods: In 58 RRMS patients we acquired, using the same scanner and protocol, brain magnetic resonance imaging (MRI) at baseline and 10±0.5 years later. MRI data were correlated with disability changes as measured by the Expanded Disability Status Scale (EDSS). Results: The annualized 10-year lesion volume (LV) growth was +0.25±0.5 cm3 (+6.7±8.7%) for T2-weighted (T2-W) lesions and +0.20±0.31 cm3 (+11.5±12.3%) for T1-weighted (T1-W) lesions. The univariate analysis showed moderate correlations between baseline MRI measures and EDSS at 10 years ( p < 0.001). Also, 10-year EDSS worsening correlated with LV growth and the number of new/enlarging lesions measured over the same period ( p < 0.005). In the stepwise multiple regression analysis, EDSS worsening over 10 years was best correlated with the combination of baseline T1-W lesion count and increasing T1-W LV ( R = 0.61, p < 0.001). Conclusion: In RRMS patients, long-term brain lesion accrual is associated with worsening in clinical disability. This is particularly true for hypointense, destructive lesions.

Detection and clinical correlation of leukocortical lesions in pediatric-onset multiple sclerosis on multi-contrast MRI

2018 ◽  
Vol 25 (7) ◽  
pp. 980-986 ◽  
Author(s):  
Josefina Maranzano ◽  
Christine Till ◽  
Haz-Edine Assemlal ◽  
Vladimir Fonov ◽  
Robert Brown ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Disease Duration ◽  
Three Dimensional ◽  
High Rate ◽  
Proton Density ◽  
Lesion Volume ◽  
3T Mri ◽  
Fluid Attenuated Inversion Recovery ◽  
Magnetic Resonance Imaging Mri ◽  
Pediatric Onset

Objective: To determine the frequency of cortical lesions (CLs) in patients with pediatric-onset multiple sclerosis (POMS) using multi-contrast magnetic resonance imaging (MRI), and the relationship between frontal CL load and upper limb dexterity assessed with the Nine-Hole Peg Test (9-HPT). Methods: Participants completed the 9-HPT and were imaged on a 3T MRI scanner to collect T1-weighted three-dimensional (3D) magnetization prepared rapid gradient echo (MPRAGE), proton density–weighted, T2-weighted and fluid-attenuated inversion recovery (FLAIR) images. CLs were manually segmented using all MRI contrasts. Results: We enrolled 24 participants with POMS (mean (standard deviation) age at first symptom: 13.3 (±2.7) years; mean age at scan: 18.8 (±3) years; mean disease duration of 5 (±3.2) years). A total of 391 CLs (mean, 16.3 ± 27.2; median, 7) were identified in 19 of 24 POMS patients (79%). The total number of CLs was positively associated with white matter lesion volume ( p = 0.04) but not with thalamic volume, age at the time of the scan, or disease duration. The number of frontal CLs was associated with slower performance on the 9-HPT ( p = 0.05). Conclusion: Multi-contrast 3T MRI led to a high rate of CL detection, demonstrating that cortical pathology occurs even in pediatric-onset disease. Frontal lobe CL count was associated with reduced manual dexterity, indicating that these CLs are clinically relevant.

Combined analysis of global and compartmental brain volume changes in early multiple sclerosis in clinical practice

2015 ◽  
Vol 22 (3) ◽  
pp. 340-346 ◽  
Author(s):  
A Pichler ◽  
M Khalil ◽  
C Langkammer ◽  
D Pinter ◽  
G Bachmaier ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Brain Volume ◽  
Volume Changes ◽  
Routine Clinical Setting ◽  
Cortical Grey Matter ◽  
Long Term Follow Up ◽  
Degree Of Disability ◽  
Magnetic Resonance Imaging Mri

Background: The extent and clinical significance of brain volume changes in different phases of multiple sclerosis (MS) is still under discussion. Objective: To determine the rate of global and compartmental brain volume changes in patients with a clinically-isolated syndrome (CIS) compared to patients with definite MS, by long-term follow-up and as a predictor of conversion to MS in a routine clinical setting. Methods: We investigated 120 patients (63 CIS and 57 MS) at baseline and after a mean follow-up period of 43 months, including detailed clinical examination and 3-Tesla magnetic resonance imaging (MRI). Our imaging analyses comprised the normalized brain volume (NBV), cortical grey matter (cGMV) and white matter (WMV) volumes using SIENA/X, the percentage of brain volume change (PBVC) using SIENA and the change in the volume of the thalami (TV) and basal ganglia (BGV). We also determined the amount and change of T2-lesion load (T2-LL). Results: At baseline, all the brain volume metrics, except cGMV, were significantly lower; and the T2-LL was significantly higher, in patients with MS rather than CIS. During the follow-up, only the PBVC was higher in MS ( p = 0.008) and this difference was driven by converters from CIS to MS. Quartiles of PBVC did not allow us to predict conversion to MS, but were associated with the degree of disability. Conclusions: PBVC is the most sensitive marker of progressing atrophy and a higher PBVC was generally associated with more active disease; however, it did not serve to predict the course of MS on an individual basis, in this study.

Combined visual and motor evoked potentials predict multiple sclerosis disability after 20 years

2014 ◽  
Vol 20 (10) ◽  
pp. 1348-1354 ◽  
Author(s):  
Regina Schlaeger ◽  
Christian Schindler ◽  
Leticia Grize ◽  
Sophie Dellas ◽  
Ernst W Radue ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Motor Evoked Potentials ◽  
Rank Correlation ◽  
Disease Modifying Therapy ◽  
Disability Status ◽  
Adaptive Processes ◽  
Multivariable Regression ◽  
Predictive Relationships ◽  
Magnetic Resonance Imaging Mri

Background: The development of predictors of multiple sclerosis (MS) disability is difficult due to the complex interplay of pathophysiological and adaptive processes. Objective: The purpose of this study was to investigate whether combined evoked potential (EP)-measures allow prediction of MS disability after 20 years. Methods: We examined 28 patients with clinically definite MS according to Poser’s criteria with Expanded Disability Status Scale (EDSS) scores, combined visual and motor EPs at entry (T0), 6 (T1), 12 (T2) and 24 (T3) months, and a cranial magnetic resonance imaging (MRI) scan at T0 and T2. EDSS testing was repeated at year 14 (T4) and year 20 (T5). Spearman rank correlation was used. We performed a multivariable regression analysis to examine predictive relationships of the sum of z-transformed EP latencies ( s-EPT0) and other baseline variables with EDSST5. Results: We found that s-EPT0 correlated with EDSST5 (rho=0.72, p<0.0001) and ΔEDSST5-T0 (rho=0.50, p=0.006). Backward selection resulted in the prediction model: E (EDSST5)=3.91–2.22×therapy+0.079×age+0.057× s-EPT0 (Model 1, R2=0.58) with therapy as binary variable (1=any disease-modifying therapy between T3 and T5, 0=no therapy). Neither EDSST0 nor T2-lesion or gadolinium (Gd)-enhancing lesion quantities at T0 improved prediction of EDSST5. The area under the receiver operating characteristic (ROC) curve was 0.89 for model 1. Conclusions: These results further support a role for combined EP-measures as predictors of long-term disability in MS.

Heterogeneous pathological processes account for thalamic degeneration in multiple sclerosis: Insights from 7 T imaging

2017 ◽  
Vol 24 (11) ◽  
pp. 1433-1444 ◽  
Author(s):  
Céline Louapre ◽  
Sindhuja T Govindarajan ◽  
Costanza Giannì ◽  
Nancy Madigan ◽  
Jacob A Sloane ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Progressive Multiple Sclerosis ◽  
Lesion Volume ◽  
Thalamic Lesion ◽  
Cortical Lesions ◽  
Focal Lesions ◽  
Thalamic Degeneration ◽  
Relapsing Remitting ◽  
Thalamic Lesions ◽  
Magnetic Resonance Imaging Mri

Background: Thalamic degeneration impacts multiple sclerosis (MS) prognosis. Objective: To investigate heterogeneous thalamic pathology, its correlation with white matter (WM), cortical lesions and thickness, and as function of distance from cerebrospinal fluid (CSF). Methods: In 41 MS subjects and 17 controls, using 3 and 7 T imaging, we tested for (1) differences in thalamic volume and quantitative T2* (q-T2*) (2) globally and (3) within concentric bands originating from the CSF/thalamus interface; (4) the relation between thalamic, cortical, and WM metrics; and (5) the contribution of magnetic resonance imaging (MRI) metrics to clinical scores. We also assessed MS thalamic lesion distribution as a function of distance from CSF. Results: Thalamic lesions were mainly located next to the ventricles. Thalamic volume was decreased in MS versus controls ( p < 10−2); global q-T2* was longer in secondary progressive multiple sclerosis (SPMS) only ( p < 10−2), indicating myelin and/or iron loss. Thalamic atrophy and longer q-T2* correlated with WM lesion volume ( p < 0.01). In relapsing-remitting MS, q-T2* thalamic abnormalities were located next to the WM ( p < 0.01 (uncorrected), p = 0.09 (corrected)), while they were homogeneously distributed in SPMS. Cortical MRI metrics were the strongest predictors of clinical outcome. Conclusion: Heterogeneous pathological processes affect the thalamus in MS. While focal lesions are likely mainly driven by CSF-mediated factors, overall thalamic degeneration develops in association with WM lesions.

A Comparison Between the Sensitivities of 3-mm and 5-mm Thick Serial Brain MRI for Detecting Lesion Volume Changes in Patients with Multiple Sclerosis

1998 ◽  
Vol 8 (3) ◽  
pp. 144-147 ◽  
Author(s):  
Marco Rovaris ◽  
Maria Assunta Rocca ◽  
Ruggero Capra ◽  
Francesca Prandini ◽  
Vittorio Martinelli ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Brain Mri ◽  
Lesion Volume ◽  
Volume Changes ◽  
Serial Brain

scholarly journals Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis

2020 ◽  
pp. 135245852092136 ◽  
Author(s):  
Ivan Coronado ◽  
Refaat E Gabr ◽  
Ponnada A Narayana
Keyword(s):  
Multiple Sclerosis ◽  
Deep Learning ◽  
Network Performance ◽  
Three Dimensional ◽  
Proton Density ◽  
Dice Similarity Coefficient ◽  
Lesion Volume ◽  
Imaging Data ◽  
Post Contrast ◽  
Fluid Attenuated Inversion Recovery

Objective: The aim of this study is to assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients. Methods: A three-dimensional (3D) CNN model was trained for segmentation of gadolinium-enhancing lesions using multispectral magnetic resonance imaging data (MRI) from 1006 relapsing–remitting MS patients. The network performance was evaluated for three combinations of multispectral MRI used as input: (U5) fluid-attenuated inversion recovery (FLAIR), T2-weighted, proton density-weighted, and pre- and post-contrast T1-weighted images; (U2) pre- and post-contrast T1-weighted images; and (U1) only post-contrast T1-weighted images. Segmentation performance was evaluated using the Dice similarity coefficient (DSC) and lesion-wise true-positive (TPR) and false-positive (FPR) rates. Performance was also evaluated as a function of enhancing lesion volume. Results: The DSC/TPR/FPR values averaged over all the enhancing lesion sizes were 0.77/0.90/0.23 using the U5 model. These values for the largest enhancement volumes (>500 mm3) were 0.81/0.97/0.04. For U2, the average DSC/TPR/FPR values were 0.72/0.86/0.31. Comparable performance was observed with U1. For all types of input, the network performance degraded with decreased enhancement size. Conclusion: Excellent segmentation of enhancing lesions was observed for enhancement volume ⩾70 mm3. The best performance was achieved when the input included all five multispectral image sets.

Enhanced magnetic resonance imaging in multiple sclerosis

2000 ◽  
Vol 6 (5) ◽  
pp. 320-326 ◽  
Author(s):  
M Filippi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Tissue Loss ◽  
Resonance Imaging ◽  
The Past ◽  
Magnetic Resonance Imaging Mri ◽  
The One ◽  
The Relationship

Gadolinium-enhanced magnetic resonance imaging (MRI) is very sensitive in the detection of active lesions of multiple sclerosis (MS) and has become a valuable tool to monitor the evolution of the disease either natural or modified by treatment. In the past few years, several studies, on the one hand, have assessed several ways to increase the sensitivity of enhanced MRI to disease activity and, on the other, have investigated in vivo the nature and evolution of enhancing lesions using different non-conventional MR techniques to better define the relationship between enhancement and tissue loss in MS. The present review is a summary of these studies whose results are discussed in the context of MS clinical trial planning and monitoring.

scholarly journals Correlation Between Disability Measure and Black Hole (T1 Hypointense Lesion) Lesion Load in Brain Magnetic Resonance Imaging (MRI) of Patients With Multiple Sclerosis (MS): Protocol for a Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Amir Valizadeh ◽  
Elham Barati ◽  
Mohammad Ali Sahraian ◽  
Mohammad Reza Fattahi ◽  
Mana Moassefi
Keyword(s):  
Multiple Sclerosis ◽  
Meta Analysis ◽  
Rank Correlation ◽  
Brain Magnetic Resonance Imaging ◽  
Lesion Volume ◽  
Spearman’S Rank Correlation ◽  
Spearman’S Rank Correlation Coefficient ◽  
Disability Status ◽  
Formation And Evolution ◽  
Magnetic Resonance Imaging Mri

Abstract Introduction: As the role of neurodegeneration in the pathophysiology of multiple sclerosis (MS) has become more prominent, the formation and evolution of chronic or persistent T1-hypointense lesions (Black Holes) have been used as markers of axonal loss and neuronal destruction to measure disease activity. However, findings regarding this subject are controversial. In this study we aim to clarify the level of importance of T1 hypointense lesions for estimating the prognosis of patients.Methods: We will search MEDLINE (through PubMed), Embase and Web of Science for relevant studies. We will extract the Spearman's rank correlation coefficient (SRCC) between the T1 hypointense lesion volume and Extended Disability Status Scale (EDSS) in participants. All included studies will be evaluated for the risk of bias. We will also perform a meta-analysis on the data. The risk of publication bias will be evaluated using Funnel plots. Finally, we will assess the confidence in cumulative evidence using an adapted version of GRADE.

Sign in / Sign up

Export Citation Format

Share Document