Persistent T1 hypointensity as an MRI marker for treatment efficacy in multiple sclerosis

Author:

van den Elskamp IJ1,Lembcke J2,Dattola V3,Beckmann K2,Pohl C4,Hong W2,Sandbrink R2,Wagner K2,Knol DL5,Uitdehaag B6,Barkhof F7

Affiliation:

1. Department of Radiology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands,

2. Bayer-Schering Pharma, Berlin, Germany

3. Department of Radiology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands; Department of Neurosciences, Psychiatric and Anaesthesiological Sciences, University of Messina, Italy

4. Bayer-Schering Pharma, Berlin, Germany; Department of Neurology, University Hospital of Bonn, Germany

5. Department of Clinical Epidemiology and Biostatistics, Vrije Universiteit Medical Center, Amsterdam, The Netherlands

6. Neurology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands; Neurology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands

7. Department of Radiology, Vrije Universiteit Medical Center, Amsterdam, The Netherlands

Abstract

Background MRI is often used as primary outcome measure in phase II clinical trials in multiple sclerosis (MS). Since persistent T1 hypointense lesions are a surrogate parameter for axonal damage and demyelination, they may serve as a marker for monitoring the efficacy of neuroprotective drugs. At present, a power analysis using black hole (BH) evolution as primary outcome measure has not been performed. Objective To assess the feasibility of using BH evolution on serial brain MR images as primary outcome measure in proof of concept studies in MS. Methods MRI-data obtained from 169 active RRMS patients were analysed for BH evolution by determining the cumulative number of contrast enhancing lesions (CEL) evolving into a persistent black hole (PBH) after 3 months. With a parametric simulation procedure, based on a statistical distribution fitting the data, sample sizes were calculated. Results 21.2% of the total number of CELs observed during the study period evolved into a PBH. Ring enhancing lesions evolved most frequently into a PBH (59.4%), followed by lesions larger than 10 mm (57.4%) and periventricular CELs (30.6%). The simulation procedure, based on the statistical negative binomial (NB) model resulted in a sample sizes between 200 subjects and 30 subjects per arm, for treatment effects ranging from 50% to 90% reduction of the number of CELs evolving into a PBH, respectively. Conclusion To perform a MRI monitored phase II clinical trial with a feasible sample size, using the evolution of CELs into PBHs as primary outcome parameter, a potent drug is required to obtain sufficient power.

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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