- What We Do
- Resources
- News & Events
- About
- Contact
Please Wait...
Gregory Klein1, Mehul Sampat1, Davis Staewen1, David Scott1, Joyce Suhy1, Eric M Reiman2, Kewei Chen2
1Bioclinica, Newark, CA, USA; 2Banner Alzheimer's Institute, Banner Health, Phoenix, AZ, USA
OBJECTIVES
The Alzheimers Disease Neuroimaging Initiative (ADNI) PET Core has analyzed FDG images using ROI, summary index and voxel-based approaches1.We compare longitudinal effect sizes for these methodologies along with Freesurfer ROI approaches using the same ADNI datasets for all methods.
METHODS
Population
Indices of cortical hypometabolism were computed using five different methods:
Methods 1-3 have been described previously (Fig 1). Methods 4 and 5 used a Freesurfer (FS) MRI segmentation to obtain SUVR indices from co-registered PET data. Both Freesurfer methods evaluated whole brain (WB) and subcortical white matter (WM) reference regions and target regions known to be affected by AD (Figs 1,2). Longitudinal Cohen’s effect size was evaluated for each method, as well as the absolute difference in measures between time points.
RESULTS
Longitudinal Effect Size
Sample Size Considerations
CONCLUSION
ACKNOWLEDGMENTS
The authors are extremely thankful for the work of Asha George for her statistical analysis of the data.
REFERENCE
Successful clinical trials require the ability to see key details and uncover hidden insights. Bioclinica utilizes science and technology to bring clarity to clinical trials, helping companies to develop new life-improving therapies more efficiently and safely.