Automated MRI‐Based Classification of Parkinsonism: A Deep Learning Approach to Distinguish PD From PSP

Differentiating Parkinson's disease (PD) from progressive supranuclear palsy (PSP) is crucial for appropriate treatment, as each disease has distinct therapeutic requirements. The Magnetic Resonance Parkinsonism Index (MRPI) has shown promise as a diagnostic biomarker, yet manual methods introduce variability and limit its applicability. In this study, we aim to develop a fully automated algorithm for MRPI 1.0 and 2.0 calculation, and assess its ability to distinguish PD from PSP in two cohorts from different regions of China.

• Publication year

  2025

• Venue

  CNS Neuroscience & Therapeutics

• Publication date

  2025-11-01

• Fields of study

  Medicine

• Identifiers
  DOI 10.1111/cns.70645PMID 41225731PMCID 12611708
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Automated MRI‐Based Classification of Parkinsonism: A Deep Learning Approach to Distinguish PD From PSP

  2025cited by this paper
• Imaging Criteria for the Diagnosis of Progressive Supranuclear Palsy: Supportive or Mandatory?

  2023cited by this paper
• uRP: An integrated research platform for one-stop analysis of medical images

  2023cited by this paper
• Detecting individuals with severe mental illness using artificial intelligence applied to magnetic resonance imaging.

  2023cited by this paper
• Development and Validation of Automated Magnetic Resonance Parkinsonism Index 2.0 to Distinguish Progressive Supranuclear Palsy‐Parkinsonism From Parkinson's Disease

  2022cited by this paper
• An artificial‐intelligence‐based age‐specific template construction framework for brain structural analysis using magnetic resonance images

  2022cited by this paper
• Recycling diagnostic MRI for empowering brain morphometric research - Critical & practical assessment on learning-based image super-resolution

  2021cited by this paper
• A method for fast automated assessment of the magnetic resonance parkinsonism index

  2020cited by this paper
• Magnetic Resonance Parkinsonism Index for evaluating disease progression rate in progressive supranuclear palsy: A longitudinal 2-year study.

  2020cited by this paper
• Automated MRI Classification in Progressive Supranuclear Palsy: A Large International Cohort Study

  2020cited by this paper
• Progressive supranuclear palsy: Advances in diagnosis and management.

  2020cited by this paper
• A New MRI Measure to Early Differentiate Progressive Supranuclear Palsy From De Novo Parkinson's Disease in Clinical Practice: An International Study

  2020cited by this paper
• Parkinson’s disease is a type of amyloidosis featuring accumulation of amyloid fibrils of α-synuclein

  2019cited by this paper
• A new MR imaging index for differentiation of progressive supranuclear palsy-parkinsonism from Parkinson's disease.

  2018cited by this paper
• Radiological biomarkers for diagnosis in PSP: Where are we and where do we need to be?

  2017cited by this paper
• Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria

  2017cited by this paper
• MDS clinical diagnostic criteria for Parkinson's disease

  2015cited by this paper
• The Insight ToolKit image registration framework

  2014cited by this paper
• Movement Disorder Society‐sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS‐UPDRS): Scale presentation and clinimetric testing results

  2008cited by this paper
• Comparison of motor, cognitive, and behavioral features in progressive supranuclear palsy and Parkinson's disease

  2006cited by this paper
• Characteristics of two distinct clinical phenotypes in pathologically proven progressive supranuclear palsy: Richardson's syndrome and PSP-parkinsonism.

  2005cited by this paper

• Automated MRI‐Based Classification of Parkinsonism: A Deep Learning Approach to Distinguish PD From PSP

  2025cites this paper