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Abstract #0314

Establishing Magnetic Resonance Parkinsonism Index reference ranges to distinguish Progressive Supranuclear Palsy and Corticobasal Syndrome

Tommaso Di Noto1,2,3, Punith B Venkategowda4,5, Ricardo Corredor-Jerez1,2,3, Tobias Raffael Bodenmann1, Madappa Shadakshari Swamy4, Vincent Dunet3, Stephane Lehericy6, Neelam Sinha5, and Bénédicte Maréchal1,2,3
1Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland, 2LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 3Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 4Siemens Healthineers India, Bangalore, India, 5International Institute of Information Technology, Bangalore, India, 6Paris Brain Institute, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, F-75013, Paris, France

Synopsis

Keywords: Parkinson's Disease, Neurodegeneration, MRPI; Brain; Reference ranges; Corticobasal syndrome; Progressive supranuclear palsy

Motivation: distinguishing Parkinsonian syndromes can be challenging since these diseases exhibit overlapping clinical manifestation.

Goal(s): provide extended reference ranges of established biomarkers to distinguish Progressive Supranuclear Palsy (PSP) from Corticobasal Syndrome (CBS) in a fast, automated way.

Approach: we build reference ranges of relevant brain measurements from a large cohort of healthy subjects; then, we compute corresponding Z-scores of these measurements to distinguish PSP and CBS patients.

Results: the midbrain area is the most informative measurement to discern PSP and CBS. A logistic regressor that combines Z-scores of multiple brain measurements achieves mean AUC of .87 in 5-fold-cross-validation when distinguishing PSP and CBS.

Impact: We release extended age-/sex-specific reference ranges built from healthy controls for several biomarkers used to differentiate Parkinsonian disorders. Our ranges show notable variation with age/sex and could be used by radiologists as benchmark to better differentiate Parkinsonian subtypes.

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Keywords

patients