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Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, May 2018
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Article details
Title
Integrated analysis of dynamic FET PET/CT parameters, histology, and methylation profiling of 44 gliomas
Published in
European Journal of Nuclear Medicine and Molecular Imaging, May 2018
DOI 10.1007/s00259-018-4009-0
Pubmed ID
Authors
Abstract

Dynamic 18F-FET PET/CT is a powerful tool for the diagnosis of gliomas.18F-FET PET time-activity curves (TAC) allow differentiation between histological low-grade gliomas (LGG) and high-grade gliomas (HGG). Molecular methods such as epigenetic profiling are of rising importance for glioma grading and subclassification. Here, we analysed dynamic 18F-FET PET data, and the histological and epigenetic features of 44 gliomas. Dynamic 18F-FET PET was performed in 44 patients with newly diagnosed, untreated glioma: 10 WHO grade II glioma, 13 WHO grade III glioma and 21 glioblastoma (GBM). All patients underwent stereotactic biopsy or tumour resection after 18F-FET PET imaging. As well as histological analysis of tissue samples, DNA was subjected to epigenetic analysis using the Illumina 850 K methylation array. TACs, standardized uptake values corrected for background uptake in healthy tissue (SUVmax/BG), time to peak (TTP) and kinetic modelling parameters were correlated with histological diagnoses and with epigenetic signatures. Multivariate analyses were performed to evaluate the diagnostic accuracy of 18F-FET PET in relation to the tumour groups identified by histological and methylation-based analysis. Epigenetic profiling led to substantial tumour reclassification, with six grade II/III gliomas reclassified as GBM. Overlap of HGG-typical TACs and LGG-typical TACs was dramatically reduced when tumours were clustered on the basis of their methylation profile. SUVmax/BG values of GBM were higher than those of LGGs following both histological diagnosis and methylation-based diagnosis. The differences in TTP between GBMs and grade II/III gliomas were greater following methylation-based diagnosis than following histological diagnosis. Kinetic modeling showed that relative K1 and fractal dimension (FD) values significantly differed in histology- and methylation-based GBM and grade II/III glioma between those diagnosed histologically and those diagnosed by methylation analysis. Multivariate analysis revealed slightly greater diagnostic accuracy with methylation-based diagnosis. IDH-mutant gliomas and GBM subgroups tended to differ in their 18F-FET PET kinetics. The status of dynamic 18F-FET PET as a biologically and clinically relevant imaging modality is confirmed in the context of molecular glioma diagnosis.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 5 9%
Student > Postgraduate 5 9%
Other 4 7%
Lecturer 3 5%
Other 14 25%
Unknown 16 29%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Neuroscience 5 9%
Nursing and Health Professions 2 4%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 2 4%
Other 4 7%
Unknown 19 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 December 2018.
All research outputs
#18,541,858
of 23,806,312 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#2,210
of 3,083 outputs
Outputs of similar age
#240,543
of 329,492 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#39
of 46 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% 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 25th percentile – i.e., 25% 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 329,492 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% 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 is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.