ArticleJAMA network open2022
Diagnostic Accuracy of Magnetic Resonance Imaging Measures of Brain Atrophy Across the Spectrum of Progressive Supranuclear Palsy and Corticobasal Degeneration.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 37 citations in OpenAlex.
- Multimodal neuroimaging in dementia and neurodegenerative disorders: complementary roles of clinically available nuclear medicine and MRI in the era of disease-modifying therapies.Japanese journal of radiology · 2026Review
- Outer nuclear layer thinning as an in vivo biomarker for discriminating probable FTLD-tau from probable FTLD-TDP with PET-supported subtyping.Alzheimer's research & therapy · 2026Article
- Elucidating the Neurobiological Underpinnings of Mild Behavioral Impairment in Tauopathies: Clinical and Molecular Insights.International journal of molecular sciences · 2026Review
- Neuroimaging and Pathology Biomarkers in Parkinson's Disease and Parkinsonism.Brain sciences · 2026Article
- Does Midbrain Atrophy Distinguish Progressive Supranuclear Palsy from Frontotemporal Dementia?Movement disorders clinical practice · 2025Article
- Machine Learning Models of Voxel-Level [Annals of neurology · 2025Article
- Eye movement abnormalities in normal pressure hydrocephalus: a video-oculographic study.Journal of neurology · 2025Article
- Overlap in the diagnostic criteria of frontotemporal dementia syndromes with parkinsonism.Journal of Alzheimer's disease : JAD · 2025Article
- Domain-specific brain regions are associated with cognitive impairment in progressive supranuclear palsy.Neuroimage. Reports · 2025Article
- Caregiver perspectives enable accurate diagnosis of neurodegenerative disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy.Radiology. Artificial intelligence · 2024Article
- Clinical dimensions along the non-fluent variant primary progressive aphasia spectrum.Brain : a journal of neurology · 2024Article
- The enigma of depression in corticobasal degeneration, a frequent but poorly understood co-morbidity.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Patterns of brain volume and metabolism predict clinical features in the progressive supranuclear palsy spectrum.Brain communications · 2024Article
- Planimetric and Volumetric Brainstem MRI Markers in Progressive Supranuclear Palsy, Multiple System Atrophy, and Corticobasal Syndrome. A Systematic Review and Meta-Analysis.Neurology international · 2023Review
- Pathomechanisms of cognitive and behavioral impairment in corticobasal degeneration.Journal of neural transmission (Vienna, Austria : 1996) · 2023Review
- Differentiating between common PSP phenotypes using structural MRI: a machine learning study.Journal of neurology · 2023Article
- Magnetic resonance imaging modalities aid in the differential diagnosis of atypical parkinsonian syndromes.Frontiers in neurology · 2023Review
- Functional connectivity to the premotor cortex maps onto longitudinal brain neurodegeneration in progressive apraxia of speech.Neurobiology of aging · 2022Article
- Magnetic Resonance Planimetry in the Differential Diagnosis between Parkinson's Disease and Progressive Supranuclear Palsy.Brain sciences · 2022Review
Corrections and comments
- Erratum issued
Authors and funding
27 authors at 6 institutions in 3 countries.
Funding
Abstract
Importance: The accurate diagnosis of progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) is hampered by imperfect clinical-pathological correlations. Objective: To assess and compare the diagnostic value of the magnetic resonance parkinsonism index (MRPI) and other magnetic resonance imaging-based measures of cerebral atrophy to differentiate between PSP, CBD, and other neurodegenerative diseases. Design, Setting, and Participants: This prospective diagnostic study included participants with 4-repeat tauopathies (4RT), PSP, CBD, other neurodegenerative diseases and available MRI who appeared in the University of California, San Francisco, Memory and Aging Center database. Data were collected from October 27, 1994, to September 29, 2019. Data were analyzed from March 1 to September 14, 2021. Main Outcomes and Measures: The main outcome of this study was the neuropathological diagnosis of PSP or CBD. The clinical diagnosis at the time of the MRI acquisition was noted. The imaging measures included the MRPI, cortical thickness, subcortical volumes, including the midbrain, pons, and superior cerebellar peduncle volumes. Multinomial logistic regression models (MLRM) combining different cortical and subcortical regions were defined to discriminate between PSP, CBD, and other pathologies. The areas under the receiver operating characteristic curves (AUROC) and cutoffs were calculated to differentiate between PSP, CBD, and other diseases. Results: Of the 326 included participants, 176 (54%) were male, and the mean (SD) age at MRI was 64.1 (8.0) years. The MRPI showed good diagnostic accuracy for the differentiation between PSP and all other pathologies (accuracy, 87%; AUROC, 0.90; 95% CI, 0.86-0.95) and between 4RT and other pathologies (accuracy, 80%; AUROC, 0.82; 95% CI, 0.76-0.87), but did not allow the discrimination of participants with CBD. Its diagnostic accuracy was lower in the subgroup of patients without the canonical PSP-Richardson syndrome (PSP-RS) or probable corticobasal syndrome (CBS) at MRI. MLRM combining cortical and subcortical measurements showed the highest accuracy for the differentiation between PSP and other pathologies (accuracy, 95%; AUROC, 0.98; 95% CI, 0.97-0.99), CBD and other pathologies (accuracy, 83%; AUROC, 0.86; 95% CI, 0.81-0.91), 4RT and other pathologies (accuracy, 89%; AUROC, 0.94; 95% CI, 0.92-0.97), and PSP and CBD (accuracy, 91%; AUROC, 0.95; 95% CI, 0.91-0.99), even in participants without PSP-RS or CBS at MRI. Conclusions and Relevance: In this study, the combination of widely available cortical and subcortical measures of atrophy on MRI discriminated between PSP, CBD, and other pathologies and could be used to support the diagnosis of 4RT in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.