Cited by 20Parkinson's Disease Mechanisms and TreatmentsDementia and Cognitive Impairment ResearchNeurological diseases and metabolism

Clinical, MRI and 18F-FDG-PET/CT analysis of progressive supranuclear palsy

Zhao, Ping, Zhang, Benshu, Gao, Shuo, Li, Xin·2020·Journal of Clinical Neuroscience

Abstract

Background Progressive supranuclear palsy (PSP) is a kind of neurodegenerative disease. In the present study, the clinical and magnetic resonance imaging (MRI) features of PSP were analyzed, and fluorodeoxyglucose positron emission tomography (FDG PET) brain imaging was performed to preliminarily explore the characteristics of cerebral glucose metabolism, so as to make a more accurate and differential diagnosis.Methods In accordance with the diagnostic criteria, the clinical symptoms, the unified Parkinson's disease rating scale (UPDRS), the mini-mental state examination (MMSE), the activities of daily living (ADL), and the magnetic resonance image (MRI) of 19 patients with PSP were examined and FDG-PET brain imaging was performed. Visual analysis and statistical parameter diagram were used to analyze the characteristics.Results Concerning the clinical characteristics, 84.21% of the patients with PSP had early recurrent falls, 63.15% had vertical supranuclear ophthalmoplegia, and 47.37% had symptoms of dementia. The MRI scans showed that 57.89% of the patients had a "hummingbird" sign in the middle sagittal position. The FDG-PET imaging indicated that glucose metabolism in the midbrain and frontal lobe was decreased in patients with PSP.Conclusions Studying the clinical and MRI features of patients with PSP can be helpful in the diagnosis, especially as some signs could be found in the early stage by FDG PET, enhancing early diagnosis and differentiation.

Integrity signals

Registry

Crossref · 10.1016/j.jocn.2020.06.008

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Zhao, P., Zhang, B., Gao, S., & Li, X.
Affiliations
  • Second Hospital of Tianjin Medical University (CN)
  • Tianjin Medical University General Hospital (CN)
Corresponding author
Zhao, Ping
Venue
Journal of Clinical Neuroscience
Publisher
Elsevier BV
Published
2020-10
Volume
80
Pages
318-323
ISSN
0967-5868 (ISSN-L)
OpenAlex
W3042153146
Cited by
20
References
23
Citations by year
2025: 6 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 2
FWCI
0.87
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Clinical Neuroscience (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Neurology › Neurological diseases and metabolism
Keywords
progressive supranuclear palsy, neurodegenerative diseases, FDG-PET, brain glucose metabolism, MRI findings, hummingbird sign, supranuclear ophthalmoplegia, falls, dementia, differential diagnosis, frontal lobe hypometabolism
MeSH terms
Positron Emission Tomography Computed Tomography, Activities of Daily Living, Aged, Aged, 80 and over, Brain, Diagnosis, Differential, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Supranuclear Palsy, Progressive, Fluorodeoxyglucose F18, Early Diagnosis

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review