ReviewBrain sciences2022
Magnetic Resonance Planimetry in the Differential Diagnosis between Parkinson's Disease and Progressive Supranuclear Palsy.
Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07667478 (NON-INVASIVE BRAIN STIMULATION FOR MEMORY LOSS IN EARLY ALZHEIMER'S DISEASE), which is not on this map. Cited by 11 papers.
What it found
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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.
Non-invasive brain stimulation for memory loss in early alzheimer's disease
Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- A Brainstem Radiomics Framework to Distinguish Progressive Supranuclear Palsy from Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Neuroimaging and Pathology Biomarkers in Parkinson's Disease and Parkinsonism.Brain sciences · 2026Article
- Subregional thalamic atrophy in Progressive Supranuclear Palsy: A machine learning study.NeuroImage. Clinical · 2026Article
- Deep Learning Framework for Automated MRI Planimetry in Multiple Sclerosis.International journal of biomedical imaging · 2026Article
- Annual percentage change of MR Parkinsonism index in progressive supranuclear palsy: a feasibility study.European radiology · 2025Article
- Eye movement abnormalities in normal pressure hydrocephalus: a video-oculographic study.Journal of neurology · 2025Article
- Article
- Proximity Elongation Assay and ELISA for the Identification of Serum Diagnostic Biomarkers in Parkinson's Disease and Progressive Supranuclear Palsy.International journal of molecular sciences · 2024Article
- Acupuncture Effect on Reaction-Time Changes in Parkinson's Disease Patients-Case Study Series.Journal of clinical medicine · 2024Article
- Serum Oligomeric α-Synuclein and p-tau181 in Progressive Supranuclear Palsy and Parkinson's Disease.International journal of molecular sciences · 2024Article
- Differentiating between common PSP phenotypes using structural MRI: a machine learning study.Journal of neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The clinical differential diagnosis between Parkinson's disease (PD) and progressive supranuclear palsy (PSP) is often challenging. The description of milder PSP phenotypes strongly resembling PD, such as PSP-Parkinsonism, further increased the diagnostic challenge and the need for reliable neuroimaging biomarkers to enhance the diagnostic certainty. This review aims to summarize the contribution of a relatively simple and widely available imaging technique such as MR planimetry in the differential diagnosis between PD and PSP, focusing on the recent advancements in this field. The development of accurate MR planimetric biomarkers, together with the implementation of automated algorithms, led to robust and objective measures for the differential diagnosis of PSP and PD at the individual level. Evidence from longitudinal studies also suggests a role of MR planimetry in predicting the development of the PSP clinical signs, allowing to identify PSP patients before they meet diagnostic criteria when their clinical phenotype can be indistinguishable from PD. Finally, promising evidence exists on the possible association between MR planimetric measures and the underlying pathology, with important implications for trials with new disease-modifying target therapies.
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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.