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Voxel-wise analysis of dynamic 18F-FET PET: a novel approach for non-invasive glioma characterisation

Overview of attention for article published in EJNMMI Research, September 2018
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Title
Voxel-wise analysis of dynamic 18F-FET PET: a novel approach for non-invasive glioma characterisation
Published in
EJNMMI Research, September 2018
DOI 10.1186/s13550-018-0444-y
Pubmed ID
Authors

Lena Vomacka, Marcus Unterrainer, Adrien Holzgreve, Erik Mille, Astrid Gosewisch, Julia Brosch, Sibylle Ziegler, Bogdana Suchorska, Friedrich-Wilhelm Kreth, Jörg-Christian Tonn, Peter Bartenstein, Nathalie Lisa Albert, Guido Böning

Abstract

Glioma grading with dynamic 18F-FET PET (0-40 min p.i.) is typically performed by analysing the mean time-activity curve of the entire tumour or a suspicious area within a heterogeneous tumour. This work aimed to ensure a reader-independent glioma characterisation and identification of aggressive sub-volumes by performing a voxel-based analysis with diagnostically relevant kinetic and static 18F-FET PET parameters. One hundred sixty-two patients with a newly diagnosed glioma classified according to histologic and molecular genetic properties were evaluated. The biological tumour volume (BTV) was segmented in static 20-40 min p.i. 18F-FET PET images using the established threshold of 1.6 × background activity. For each enclosed voxel, the time-to-peak (TTP), the late slope (Slope15-40), and the tumour-to-background ratios (TBR5-15, TBR20-40) obtained from 5 to 15 min p.i. and 20 to 40 min p.i. images were determined. The percentage portion of these values within the BTV was evaluated with percentage volume fractions (PVFs) and cumulated percentage volume histograms (PVHs). The ability to differentiate histologic and molecular genetic classes was assessed and compared to volume-of-interest (VOI)-based parameters. Aggressive WHO grades III and IV and IDH-wildtype gliomas were dominated by a high proportion of voxels with an early peak, negative slope, and high TBR, whereby the PVHs with TTP < 20 min p.i., Slope15-40 < 0 SUV/h, and TBR5-15 and TBR20-40 > 2 yielded the most significant differences between glioma grades. We found significant differences of the parameters between WHO grades and IDH mutation status, where the effect size was predominantly higher for voxel-based PVHs compared to the corresponding VOI-based parameters. A low overlap of BTV sub-volumes defined by TTP < 20 min p.i. and negative Slope15-40 with TBR5-15 > 2- and TBR20-40 > 2-defined hotspots was observed. The presented approach applying voxel-wise analysis of dynamic 18F-FET PET enables an enhanced characterisation of gliomas and might potentially provide a fast identification of aggressive sub-volumes within the BTV. Parametric 3D 18F-FET PET information as investigated in this study has the potential to guide individual therapy instrumentation and may be included in future biopsy studies.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Unspecified 1 9%
Student > Ph. D. Student 1 9%
Other 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 3 27%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Physics and Astronomy 2 18%
Agricultural and Biological Sciences 1 9%
Computer Science 1 9%
Mathematics 1 9%
Other 0 0%
Unknown 3 27%

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 28 September 2018.
All research outputs
#8,516,115
of 13,568,727 outputs
Outputs from EJNMMI Research
#108
of 278 outputs
Outputs of similar age
#159,855
of 265,070 outputs
Outputs of similar age from EJNMMI Research
#1
of 1 outputs
Altmetric has tracked 13,568,727 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 278 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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