Abstract #0314

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

Tommaso Di Noto^1,2,3, Punith B Venkategowda^4,5, Ricardo Corredor-Jerez^1,2,3, Tobias Raffael Bodenmann¹, Madappa Shadakshari Swamy⁴, Vincent Dunet³, Stephane Lehericy⁶, Neelam Sinha⁵, and Bénédicte Maréchal^1,2,3

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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