Combining short interval MRI in Alzheimer's disease: Implications for therapeutic trials

J M Schott1, C Frost, J L Whitwell

  • 1Dementia Research Centre, Institute of Neurology, University College London, Queen Square, Box 16, WC1N 3BG, London, UK.

Journal of Neurology
|September 26, 2006
PubMed

Insights

Multiple serial MRI scans can reduce patient numbers in Alzheimer's disease (AD) clinical trials. Optimizing scan timing and frequency significantly lowers variability in cerebral atrophy rates, enabling more efficient therapeutic outcome measurement.

Area of Science:

  • Neuroimaging
  • Alzheimer's Disease Research
  • Clinical Trial Design

Background:

  • Cerebral atrophy on serial MRI is a key Alzheimer's disease (AD) progression marker.
  • Current trial designs may require large patient cohorts due to variability in atrophy rates.
  • Reducing this variability could enhance therapeutic trial efficiency.

Purpose of the Study:

  • To investigate the impact of multiple serial MRI scans on reducing within-subject variability in cerebral atrophy rates.
  • To assess the potential for smaller patient numbers in AD therapeutic trials by optimizing MRI acquisition.
  • To determine the optimal timing and number of scans for maximizing statistical power.

Main Methods:

  • Collected up to 10 serial MRI scans over two years from 46 AD patients and 23 controls.
  • Calculated whole brain atrophy rates from scan pairs.
  • Employed a linear mixed model to analyze between- and within-individual variability.

Main Results:

  • Mean whole brain atrophy rate in AD was 2.23%/year.
  • A formula was derived to predict atrophy rate variance based on scan interval (t).
  • Utilizing five optimally timed scans reduced within-subject variability by ~56%, potentially decreasing sample size by ~40% in short trials.

Conclusions:

  • Multiple serial MRI scans can significantly reduce the sample size needed for short-interval AD therapeutic trials.
  • Optimizing scan frequency and timing is crucial for efficient outcome measure utilization.
  • This approach offers a pathway to more cost-effective and faster clinical trials for Alzheimer's disease.