ArticleNeuropathology and applied neurobiology2021
Machine learning-based decision tree classifier for the diagnosis of progressive supranuclear palsy and corticobasal degeneration.
Article in Neuropathology and applied neurobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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26 citing papers in PubMed, 48 citations in OpenAlex.
- A real-world decision tree model based on ¹⁸F-FDG PET/CT Z scores and Mini-Mental State Examination for differentiating mild cognitive impairment from clinically diagnosed Alzheimer disease.Annals of nuclear medicine · 2026Article
- Incident versus prevalent progressive supranuclear palsy: analyses of U.S. Alzheimer's Disease Research Centers data indicate clinical and neuropathological features of a relatively common and underrecognized tauopathy in the aging brain.Acta neuropathologica · 2026Article
- Article
- Association between Human Leukocyte Antigen Alleles and Neuropathological Outcomes in Lewy Body Disease.Annals of neurology · 2026Article
- Review
- Early subtypes and progressions of progressive supranuclear palsy: a data-driven brain bank study.Journal of neurology · 2025Article
- Genome-wide association study of neuropathological features in Lewy body disease.Brain : a journal of neurology · 2025Article
- Assisted Parkinsonism Diagnosis Using Multimodal MRI-The Role of Clinical Insights.Brain and behavior · 2025Article
- Role of GBA variants in Lewy body disease neuropathology.Acta neuropathologica · 2024Article
- Predictive value of machine learning models for lymph node metastasis in gastric cancer: A two-center study.World journal of gastrointestinal surgery · 2024Article
- Lysosomal polygenic risk is associated with the severity of neuropathology in Lewy body disease.Brain : a journal of neurology · 2023Article
- Diffuse argyrophilic grain disease with TDP-43 proteinopathy and neuronal intermediate filament inclusion disease: FTLD with mixed tau, TDP-43 and FUS pathologies.Acta neuropathologica communications · 2023Article
- Brain Bank Questionnaire Helps in Differential Diagnosis of Movement Disorders: An Autopsy Study of 150 Patients.Movement disorders clinical practice · 2023Article
- Case report of a patient with unclassified tauopathy with molecular and neuropathological features of both progressive supranuclear palsy and corticobasal degeneration.Acta neuropathologica communications · 2023Article
- Establishment of a prognostic model for gastric cancer patients who underwent radical gastrectomy using machine learning: a two-center study.Frontiers in oncology · 2023Article
- Neuropathology and emerging biomarkers in corticobasal syndrome.Journal of neurology, neurosurgery, and psychiatry · 2022Review
- Neuropathology of Parkinson's disease after focused ultrasound thalamotomy.NPJ Parkinson's disease · 2022Article
- Distinct subcortical tau burden: The tau pallido-claustral ratio separates progressive supranuclear palsy and corticobasal degeneration.Brain pathology (Zurich, Switzerland) · 2022Article
- Concurrent tau pathologies in frontotemporal lobar degeneration with TDP-43 pathology.Neuropathology and applied neurobiology · 2022Article
- Deep learning-based model for diagnosing Alzheimer's disease and tauopathies.Neuropathology and applied neurobiology · 2022Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
aimsThis study aimed to clarify the different topographical distribution of tau pathology between progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) and establish a machine learning-based decision tree classifier.
methodsParaffin-embedded sections of the temporal cortex, motor cortex, caudate nucleus, globus pallidus, subthalamic nucleus, substantia nigra, red nucleus, and midbrain tectum from 1020 PSP and 199 CBD cases were assessed by phospho-tau immunohistochemistry. The severity of tau lesions (i.e., neurofibrillary tangle, coiled body, tufted astrocyte or astrocytic plaque, and tau threads) was semi-quantitatively scored in each region. Hierarchical cluster analysis was performed using tau pathology scores. A decision tree classifier was made with tau pathology scores using 914 cases. Cross-validation was done using 305 cases. An additional ten cases were used for a validation study.
resultsCluster analysis displayed two distinct clusters; the first cluster included only CBD, and the other cluster included all PSP and six CBD cases. We built a decision tree, which used only seven decision nodes. The scores of tau threads in the caudate nucleus were the most decisive factor for predicting CBD. In a cross-validation, 302 out of 305 cases were correctly diagnosed. In the pilot validation study, three investigators made a correct diagnosis in all cases using the decision tree.
conclusionRegardless of the morphology of astrocytic tau lesions, semi-quantitative tau pathology scores in select brain regions are sufficient to distinguish PSP and CBD. The decision tree simplifies neuropathologic differential diagnosis of PSP and CBD.
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