scholarly journals Experimental design and sample size considerations in longitudinal magnetic resonance imaging-based biomarker detection for multiple sclerosis

2020 ◽  
Vol 29 (9) ◽  
pp. 2617-2628 ◽  
Author(s):  
Menghan Hu ◽  
Matthew K Schindler ◽  
Blake E Dewey ◽  
Daniel S Reich ◽  
Russell T Shinohara ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Clinical Trials ◽  
Magnetic Resonance ◽  
Sample Size ◽  
Disease Progression ◽  
Multiple Sclerosis Lesion ◽  
Resonance Imaging ◽  
Study Duration ◽  
Multiple Sclerosis Disease

Several modeling approaches have been developed to quantify differences in multiple sclerosis lesion evolution on magnetic resonance imaging to identify the effect of treatment on disease progression. These studies have limited clinical applicability due to onerous scan frequency and lengthy study duration. Efficient methods are needed to reduce the required sample size, study duration, and sampling frequency in longitudinal magnetic resonance imaging studies. We develop a data-driven approach to identify parameters of study design for evaluation of longitudinal magnetic resonance imaging biomarkers of multiple sclerosis lesion evolution. Our design strategies are considerably shorter than those described in previous studies, thus having the potential to lower costs of clinical trials. From a dataset of 36 multiple sclerosis patients with at least six monthly magnetic resonance imagings, we extracted new lesions and performed principal component analysis to estimate a biomarker that recapitulated lesion recovery. We tested the effect of multiple sclerosis disease modifying therapy on the lesion evolution index in three experimental designs and calculated sample sizes needed to appropriately power studies. Our proposed methods can be used to calculate required sample size and scan frequency in observational studies of multiple sclerosis disease progression as well as in designing clinical trials to find effects of treatment on multiple sclerosis lesion evolution.

scholarly journals Using magnetic resonance imaging in animal models to guide drug development in multiple sclerosis

2013 ◽  
Vol 20 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Nabeela Nathoo ◽  
V Wee Yong ◽  
Jeff F Dunn
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Clinical Trials ◽  
Magnetic Resonance ◽  
Animal Models ◽  
Mr Imaging ◽  
Preclinical Studies ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Mri ◽  
Potential Therapeutics

Major advances are taking place in the development of therapeutics for multiple sclerosis (MS), with a move past traditional immunomodulatory/immunosuppressive therapies toward medications aimed at promoting remyelination or neuroprotection. With an increase in diversity of MS therapies comes the need to assess the effectiveness of such therapies. Magnetic resonance imaging (MRI) is one of the main tools used to evaluate the effectiveness of MS therapeutics in clinical trials. As all new therapeutics for MS are tested in animal models first, it is logical that MRI be incorporated into preclinical studies assessing therapeutics. Here, we review key papers showing how MR imaging has been combined with a range of animal models to evaluate potential therapeutics for MS. We also advise on how to maximize the potential for incorporating MRI into preclinical studies evaluating possible therapeutics for MS, which should improve the likelihood of discovering new medications for the condition.

scholarly journals Reliability of Classifying Multiple Sclerosis Disease Activity Using Magnetic Resonance Imaging in a Multiple Sclerosis Clinic

2013 ◽  
Vol 70 (3) ◽  
pp. 338 ◽  
Author(s):  
Ebru Erbayat Altay ◽  
Elizabeth Fisher ◽  
Stephen E. Jones ◽  
Claire Hara-Cleaver ◽  
Jar-Chi Lee ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Disease Activity ◽  
Resonance Imaging ◽  
Multiple Sclerosis Disease

The use of magnetic resonance imaging in multiple sclerosis: lessons learned from clinical trials

2004 ◽  
Vol 10 (4) ◽  
pp. 341-347 ◽  
Author(s):  
Filippo Martinelli Boneschi ◽  
Marco Rovaris ◽  
Giancarlo Comi ◽  
Massimo Filippi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Clinical Trials ◽  
Magnetic Resonance ◽  
Lessons Learned ◽  
Secondary Outcome ◽  
Resonance Imaging ◽  
Quantitative Mr ◽  
Study Protocols ◽  
The Individual

Magnetic resonance imaging (MRI) is an important paraclinical tool for the diagnosis of multiple sclerosis (MS) and for monitoring its disease course. The efficacy of most of the available MS disease-modifying treatments has been tested in clinical trials where MRI-derived quantities served as primary or secondary outcome measures. However, conventional MRI measures (i.e., the number and volume of contrast-enhancing, the volumes of T2-hyperintense and T1-hypointense lesions and the assessment of brain volume changes) are limited in terms of pathological specificity and, as a consequence, are modestly correlated with clinical measures of disease activity and have a modest prognostic value as predictors of MS evolution. In the present review, we discuss the main factors potentially responsible for the so-called ‘clinicaluMRI paradox’ and how modern quantitative MR-based techniques might contribute to, at least partially, overcome it. The lessons learned from MS trials suggest that future applications of MRI to assess MS evolution should rely upon the use of composite measures thought to reflect the various components of the disease, as well as on study protocols specifically designed on the individual trial characteristics.

Trigeminal neuralgia in patients with multiple sclerosis: Lesion localization with magnetic resonance imaging

Neurology ◽  
1997 ◽  
Vol 49 (4) ◽  
pp. 1142-1144 ◽  
Author(s):  
A. Gass ◽  
N. Kitchen ◽  
D. G. MacManus ◽  
I. F. Moseley ◽  
M. G. Hennerici ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Magnetic Resonance ◽  
Trigeminal Neuralgia ◽  
Multiple Sclerosis Lesion ◽  
Resonance Imaging ◽  
Lesion Localization
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