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Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
Biomarkers
Jesús Garcia Castro1, Lídia Vaqué-Alcázar2, Lawren VandeVrede3
1Sant Pau Memory Unit, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau - Universitat Autònoma de Barcelona, Barcelona, Barcelona, Spain.
Background:
Progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) are severe neurodegenerative disorders lacking disease-modifying treatments and validated biomarkers. Clinical trials face challenges due to phenotypic overlap and imperfect clinicopathological correlations. MRI-derived models have shown to accurately predict PSP and CBD pathology in a large autopsy-confirmed cohort (Illán-Gala et al., JAMA Network Open, 2022). This study examines how participant selection based on MRI models and imaging outcomes impacts sample size estimations in hypothetical clinical trials.
Method:
Eighty-four participants from the 4 Repeat Tauopathy Neuroimaging Initiative (4RTNI) with baseline and longitudinal MRI data and clinical assessments were included. Diagnoses comprised Richardson syndrome (RS, 61%) and corticobasal syndrome (CBS, 30%) without Alzheimer's disease. MRI-derived models predicted PSP, CBD, or other pathologies (MRI-PSP, MRI-CBD, MRI-Other) according to baseline MRI. Cortical thickness and volume measures were derived from MRI data using Freesurfer and employed to identify an optimal MRI-signature of regions showing the highest effect size on atrophy over 12 months using linear mixed-effects models. Disease progression was also measured with PSP Rating Scale (PSPRS). Sample sizes required to detect a 30% reduction in mean change at 12 months were calculated for hypothetical clinical trials.
Result:
MRI predicted PSP, CBD, and other pathologies in 46%, 26%, and 27% of participants, respectively. Among RS diagnoses, 31 (61%) were classified as MRI-PSP; among CBS, 6 (24%) were MRI-CBD. MRI-signature regions for PSP progression included midbrain, superior-temporal, and rostral-middle-frontal thickness. For CBD, key regions included midbrain and pons volumes, superior-frontal, and entorhinal thickness. In a hypothetical PSP trial, selection criteria based on clinical diagnosis required 336 participants using PSPRS as outcome, while MRI-based diagnosis with MRI-signature as outcome reduced the sample size to 121 (64% decrease). For a CBS trial, the sample size reduced from 1301 participants if inclusion was based on clinical diagnosis to 160 using MRI-based selection and outcomes.
Conclusion:
Selecting participants with increased diagnostic certainty for PSP and CBD based on baseline MRI, combined with using MRI measures as outcomes could enhance the efficiency of future phase 2 clinical trials for 4R tauopathies. We plan to replicate these results in the Davunetide trial cohort.
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