ArticleEuropean journal of nuclear medicine and molecular imaging2016
Article in European journal of nuclear medicine and molecular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Molecular imaging of carotid artery atherosclerosis with PET: a systematic review.European journal of nuclear medicine and molecular imaging · 2020Pooled it
- Application of emerging technologies in ischemic stroke: from clinical study to basic research.Frontiers in neurology · 2024Review
- Stroke and molecular imaging: a focus on FDG-PET.American journal of nuclear medicine and molecular imaging · 2023Review
- Relationship Between MicroRNA Signature and Arterial Stiffness in Patients With Ischemic Stroke.Journal of clinical neurology (Seoul, Korea) · 2023Article
- 60 Years of Achievements by KSNM in Neuroimaging Research.Nuclear medicine and molecular imaging · 2022Review
- KSNM60 in Cardiology: Regrowth After a Long Pause.Nuclear medicine and molecular imaging · 2021Review
- Imaging Atherosclerosis by PET, With Emphasis on the Role of FDG and NaF as Potential Biomarkers for This Disorder.Frontiers in physiology · 2020Review
- Association of muscle and visceral adipose tissues with the probability of Alzheimer's disease in healthy subjects.Scientific reports · 2019Article
- Role of PET/CT in the Evaluation of Aortic Disease.Chonnam medical journal · 2018Review
- Predictive medicine: towards a multi-parametric imaging for a personal risk stratification.European journal of nuclear medicine and molecular imaging · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose
methodsFrom among cancer patients presenting with various neurological symptoms and hemiparesis, 134 were selected as eligible for this retrospective analysis. A new infarct lesion on brain MRI within 1 year of FDG PET/CT defined future ischaemic stroke. The target-to-background ratio (TBR) of each arterial segment was used to define arterial inflammation on PET imaging. Abdominal obesity was defined in terms of the area and proportion of visceral adipose tissue (VAT), subcutaneous adipose tissue and total adipose tissue (TAT) on a single CT slice at the umbilical level.
resultsIschaemic stroke confirmed by MRI occurred in 30 patients. Patients with stroke had higher TBRs in the carotid arteries and abdominal aorta (P < 0.001) and a higher VAT proportion (P = 0.021) and TAT proportion (P = 0.041) than patients without stroke. Multiple logistic regression analysis showed that TBRs of the carotid arteries and abdominal aorta, VAT and TAT proportions, and the presence of a metabolically active tumour were significantly associated with future ischaemic stroke. Combining PET and CT variables improved the power for predicting future ischaemic stroke.
conclusionOur findings suggest that arterial FDG uptake and hypermetabolic malignancy on PET and the VAT proportion on CT could be independent predictors of future ischaemic stroke in patients with cancer and could identify those patients who would benefit from medical treatment.
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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.