Literature DB >> 10201417

Statistical power of MRI monitored trials in multiple sclerosis: new data and comparison with previous results.

M P Sormani1, P D Molyneux, C Gasperini, F Barkhof, T A Yousry, D H Miller, M Filippi.   

Abstract

OBJECTIVES: To evaluate the durations of the follow up and the reference population sizes needed to achieve optimal and stable statistical powers for two period cross over and parallel group design clinical trials in multiple sclerosis, when using the numbers of new enhancing lesions and the numbers of active scans as end point variables.
METHODS: The statistical power was calculated by means of computer simulations performed using MRI data obtained from 65 untreated relapsing-remitting or secondary progressive patients who were scanned monthly for 9 months. The statistical power was calculated for follow up durations of 2, 3, 6, and 9 months and for sample sizes of 40-100 patients for parallel group and of 20-80 patients for two period cross over design studies. The stability of the estimated powers was evaluated by applying the same procedure on random subsets of the original data.
RESULTS: When using the number of new enhancing lesions as the end point, the statistical power increased for all the simulated treatment effects with the duration of the follow up until 3 months for the parallel group design and until 6 months for the two period cross over design. Using the number of active scans as the end point, the statistical power steadily increased until 6 months for the parallel group design and until 9 months for the two period cross over design. The power estimates in the present sample and the comparisons of these results with those obtained by previous studies with smaller patient cohorts suggest that statistical power is significantly overestimated when the size of the reference data set decreases for parallel group design studies or the duration of the follow up decreases for two period cross over studies.
CONCLUSIONS: These results should be used to determine the duration of the follow up and the sample size needed when planning MRI monitored clinical trials in multiple sclerosis.

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Year:  1999        PMID: 10201417      PMCID: PMC1736308          DOI: 10.1136/jnnp.66.4.465

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  10 in total

1.  Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: concerted action guidelines.

Authors:  D H Miller; F Barkhof; I Berry; L Kappos; G Scotti; A J Thompson
Journal:  J Neurol Neurosurg Psychiatry       Date:  1991-08       Impact factor: 10.154

2.  Exploratory treatment trials in multiple sclerosis using MRI: sample size calculations for relapsing-remitting and secondary progressive subgroups using placebo controlled parallel groups.

Authors:  N Tubridy; H J Ader; F Barkhof; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-01       Impact factor: 10.154

3.  Guidelines for the use of magnetic resonance techniques in monitoring the treatment of multiple sclerosis. US National MS Society Task Force.

Authors:  D H Miller; P S Albert; F Barkhof; G Francis; J A Frank; S Hodgkinson; F D Lublin; D W Paty; S C Reingold; J Simon
Journal:  Ann Neurol       Date:  1996-01       Impact factor: 10.422

4.  New diagnostic criteria for multiple sclerosis: guidelines for research protocols.

Authors:  C M Poser; D W Paty; L Scheinberg; W I McDonald; F A Davis; G C Ebers; K P Johnson; W A Sibley; D H Silberberg; W W Tourtellotte
Journal:  Ann Neurol       Date:  1983-03       Impact factor: 10.422

5.  Defining the clinical course of multiple sclerosis: results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis.

Authors:  F D Lublin; S C Reingold
Journal:  Neurology       Date:  1996-04       Impact factor: 9.910

6.  Specific power calculations for magnetic resonance imaging (MRI) in monitoring active relapsing-remitting multiple sclerosis (MS): implications for phase II therapeutic trials.

Authors:  L Truyen; F Barkhof; M Tas; M A Van Walderveen; S T Frequin; O R Hommes; J J Nauta; C H Polman; J Valk
Journal:  Mult Scler       Date:  1997-01       Impact factor: 6.312

7.  Guidelines for using quantitative measures of brain magnetic resonance imaging abnormalities in monitoring the treatment of multiple sclerosis.

Authors:  M Filippi; M A Horsfield; H J Adèr; F Barkhof; P Bruzzi; A Evans; J A Frank; R I Grossman; H F McFarland; P Molyneux; D W Paty; J Simon; P S Tofts; J S Wolinsky; D H Miller
Journal:  Ann Neurol       Date:  1998-04       Impact factor: 10.422

8.  Magnetic resonance imaging in monitoring the treatment of multiple sclerosis patients: statistical power of parallel-groups and crossover designs.

Authors:  J J Nauta; A J Thompson; F Barkhof; D H Miller
Journal:  J Neurol Sci       Date:  1994-03       Impact factor: 3.181

9.  Gadolinium enhancement increases the sensitivity of MRI in detecting disease activity in multiple sclerosis.

Authors:  D H Miller; F Barkhof; J J Nauta
Journal:  Brain       Date:  1993-10       Impact factor: 13.501

10.  Using gadolinium-enhanced magnetic resonance imaging lesions to monitor disease activity in multiple sclerosis.

Authors:  H F McFarland; J A Frank; P S Albert; M E Smith; R Martin; J O Harris; N Patronas; H Maloni; D E McFarlin
Journal:  Ann Neurol       Date:  1992-12       Impact factor: 10.422

  10 in total
  3 in total

Review 1.  Imaging of multiple sclerosis: role in neurotherapeutics.

Authors:  Rohit Bakshi; Alireza Minagar; Zeenat Jaisani; Jerry S Wolinsky
Journal:  NeuroRx       Date:  2005-04

2.  Inferences and Power Analysis Concerning Two Negative Binomial Distributions with An Application to MRI Lesion Counts Data.

Authors:  Inmaculada B Aban; Gary R Cutter; Nsoki Mavinga
Journal:  Comput Stat Data Anal       Date:  2008-01-15       Impact factor: 1.681

3.  Clinical trials of multiple sclerosis monitored with enhanced MRI: new sample size calculations based on large data sets.

Authors:  M P Sormani; D H Miller; G Comi; F Barkhof; M Rovaris; P Bruzzi; M Filippi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-04       Impact factor: 10.154

  3 in total

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