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18F-FDG PET/CT imaging factors that predict ischaemic stroke in cancer patients

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, July 2016
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Title
18F-FDG PET/CT imaging factors that predict ischaemic stroke in cancer patients
Published in
European Journal of Nuclear Medicine and Molecular Imaging, July 2016
DOI 10.1007/s00259-016-3460-z
Pubmed ID
Authors

Jahae Kim, Kang-Ho Choi, Ho-Chun Song, Joon-Tae Kim, Man-Seok Park, Ki-Hyun Cho

Abstract

(18)F-FDG PET/CT can acquire both anatomical and functional images in a single session. We investigated which factors of (18)F-FDG PET/CT imaging have potential as biomarkers for an increased risk of ischaemic stroke in cancer patients. From 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. Ischaemic 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. Our 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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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Ph. D. Student 3 15%
Student > Master 2 10%
Lecturer 1 5%
Professor 1 5%
Other 3 15%
Unknown 6 30%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Neuroscience 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Nursing and Health Professions 1 5%
Sports and Recreations 1 5%
Other 3 15%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2016.
All research outputs
#14,591,600
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#1,749
of 3,083 outputs
Outputs of similar age
#214,000
of 369,258 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#18
of 46 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,083 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 369,258 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.