scholarly journals Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study

2018 ◽  
Vol 9 (1) ◽  
pp. e01194 ◽  
Author(s):  
Marcin Kolasa ◽  
Ullamari Hakulinen ◽  
Antti Brander ◽  
Sanna Hagman ◽  
Prasun Dastidar ◽  
...  
2014 ◽  
Vol 85 (10) ◽  
pp. 1109-1115 ◽  
Author(s):  
Cecilie Jacobsen ◽  
Jesper Hagemeier ◽  
Kjell-Morten Myhr ◽  
Harald Nyland ◽  
Kirsten Lode ◽  
...  

2004 ◽  
Vol 10 (2) ◽  
pp. 188-196 ◽  
Author(s):  
Emmanuelle Cassol ◽  
Jean-Philippe Ranjeva ◽  
Danielle Ibarrola ◽  
Claude Mékies ◽  
Claude Manelfe ◽  
...  

Our objectives were to determine the reproducibility of diffusion tensor imaging (DTI) in volunteers and to evaluate the ability of the method to monitor longitudinal changes occurring in the normal-appearing white matter (NAWM) of patients with multiple sclerosis (MS). DTI was performed three-mo nthly for one year in seven MS patients: three relapsing-remitting (RRMS), three secondary progressive (SPMS) and one relapsing SP. They were selected with a limited cerebral lesion load. Seven age- and sex-matched controls also underwent monthly examinations for three months. Diffusivity and anisotropy were quantified over the segmented whole supratentorial white matter, with the indices of trace (Tr) and fractional anisotropy (FA). Results obtained in volunteers show the reproducibility of the method. Patients had higher trace and lower anisotropy than matched controls (P B-0.0001). O ver the follow-up, both Tr and FA indicated a recovery after the acute phase in RRMS and a progressive shift towards abnormal values in SPMS. A lthough this result is not statistically significant, it suggests that DTI is sensitive to microscopic changes occurring in tissue of normal appearance in conventional images and could be useful for monitoring the course of the disease, even though it was unable to clearly distinguish between the various physiopathological processes involved.


2017 ◽  
Vol 207 ◽  
pp. 305-312 ◽  
Author(s):  
Jiaolong Qin ◽  
Haiyan Liu ◽  
Maobin Wei ◽  
Ke Zhao ◽  
Jianhuai Chen ◽  
...  

2017 ◽  
Vol 30 (10) ◽  
pp. e3769 ◽  
Author(s):  
Li Guan ◽  
Xiaolong Chen ◽  
Yong Hai ◽  
Xiaodong Ma ◽  
Le He ◽  
...  

2020 ◽  
Vol 410 ◽  
pp. 116630 ◽  
Author(s):  
Wildéa Lice de Carvalho Jennings Pereira ◽  
Tamires Flauzino ◽  
Daniela Frizon Alfieri ◽  
Sayonara Rangel Oliveira ◽  
Ana Paula Kallaur ◽  
...  

2018 ◽  
Vol 48 (4) ◽  
pp. 486-498 ◽  
Author(s):  
Jae W. Song ◽  
Gerlinde M. Gruber ◽  
Janina M. Patsch ◽  
Rainer Seidl ◽  
Daniela Prayer ◽  
...  

2021 ◽  
pp. 135245852098130
Author(s):  
Izanne Roos ◽  
Emmanuelle Leray ◽  
Federico Frascoli ◽  
Romain Casey ◽  
J William L Brown ◽  
...  

Background: A delayed onset of treatment effect, termed therapeutic lag, may influence the assessment of treatment response in some patient subgroups. Objectives: The objective of this study is to explore the associations of patient and disease characteristics with therapeutic lag on relapses and disability accumulation. Methods: Data from MSBase, a multinational multiple sclerosis (MS) registry, and OFSEP, the French MS registry, were used. Patients diagnosed with MS, minimum 1 year of exposure to MS treatment and 3 years of pre-treatment follow-up, were included in the analysis. Studied outcomes were incidence of relapses and disability accumulation. Therapeutic lag was calculated using an objective, validated method in subgroups stratified by patient and disease characteristics. Therapeutic lag under specific circumstances was then estimated in subgroups defined by combinations of clinical and demographic determinants. Results: High baseline disability scores, annualised relapse rate (ARR) ⩾ 1 and male sex were associated with longer therapeutic lag on disability progression in sufficiently populated groups: females with expanded disability status scale (EDSS) < 6 and ARR < 1 had mean lag of 26.6 weeks (95% CI = 18.2–34.9), males with EDSS < 6 and ARR < 1 31.0 weeks (95% CI = 25.3–36.8), females with EDSS < 6 and ARR ⩾ 1 44.8 weeks (95% CI = 24.5–65.1), and females with EDSS ⩾ 6 and ARR < 1 54.3 weeks (95% CI = 47.2–61.5). Conclusions: Pre-treatment EDSS and ARR are the most important determinants of therapeutic lag.


2010 ◽  
Vol 33 (2) ◽  
pp. 169-175 ◽  
Author(s):  
Jorge Sepulcre ◽  
Herminia Peraita ◽  
Joaquín Goñi ◽  
Gonzalo Arrondo ◽  
Iñigo Martincorena ◽  
...  

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