MR-Parkinsonism
MR-Parkinsonism computes the Magnetic Resonance Parkinsonism Index (MRPI) from MRI to quantify brainstem morphometry for distinguishing progressive supranuclear palsy (PSP) subtypes, including PSP-Richardson's syndrome and PSP-parkinsonism.
Key Features:
- Automated Calculation: Calculates MRPI values from MRI-derived measurements of brainstem structures using automated processing.
- High Diagnostic Accuracy: Differentiates PSP-Richardson's syndrome and PSP-parkinsonism from non-PSP participants with reported accuracies of 93.6% and 86.5%, respectively, and identifies early-stage PSP with accuracies of 90.1% and 85.9%, respectively.
- Generalizability: Validated in a large international cohort to support applicability across diverse populations.
Scientific Applications:
- Differential Diagnosis: Distinguishing PSP-Richardson's syndrome and PSP-parkinsonism from non-PSP conditions using MRPI morphometric markers.
- Early-stage Detection: Identifying early-stage PSP cases based on MRPI values.
- Biomarker Standardization: Providing a standardized morphometric biomarker for international PSP research cohorts.
Methodology:
Uses MRI slices focusing on brainstem structures, including parasagittal views of the middle cerebellar peduncle and coronal oblique reconstructions of superior cerebellar peduncles, to calculate MRPI values.
Topics
Details
- Tool Type:
- api
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Publications
Nigro S, Antonini A, Vaillancourt DE, Seppi K, Ceravolo R, Strafella AP, Augimeri A, Quattrone A, Morelli M, Weis L, Fiorenzato E, Biundo R, Burciu RG, Krismer F, McFarland NR, Mueller C, Gizewski ER, Cosottini M, Del Prete E, Mazzucchi S, Quattrone A. Automated MRI Classification in Progressive Supranuclear Palsy: A Large International Cohort Study. Movement Disorders. 2020;35(6):976-983. doi:10.1002/mds.28007. PMID:32092195. PMCID:PMC8310687.