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Evaluation of the specificity of [18F]fludarabine PET/CT in a xenograft model of follicular lymphoma: comparison with [18F]FDG and impact of rituximab therapy

Overview of attention for article published in EJNMMI Research, April 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

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3 tweeters
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1 Facebook page

Citations

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9 Dimensions

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7 Mendeley
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Title
Evaluation of the specificity of [18F]fludarabine PET/CT in a xenograft model of follicular lymphoma: comparison with [18F]FDG and impact of rituximab therapy
Published in
EJNMMI Research, April 2015
DOI 10.1186/s13550-015-0101-7
Pubmed ID
Authors

Narinée Hovhannisyan, Stéphane Guillouet, Fabien Fillesoye, Martine Dhilly, Delphine Patin, Françoise Galateau, Michel Leporrier, Louisa Barré

Abstract

[(18)F]Fludarabine is a novel positron emission tomography (PET) radiotracer for imaging lymphoma. The purpose of this preclinical study was to evaluate the robustness of [(18)F]fludarabine during rituximab therapy. In addition, a comparison was made between [(18)F]fludarabine and [(18)F]fluorodeoxyglucose ([(18)F]FDG) with regard to their concordance with histologically derived data. CB17-SCID mice bearing human follicular DOHH-2 lymphoma were treated once weekly with rituximab (10 mg/kg) or physiological saline over 3 weeks. To obtain the tracer uptake in the metabolically active volume of the tumour (MAVT), a background-level threshold was applied to the volume of interest (VOI) defined on computed tomography (CT) image. The tumour uptake analysis was performed with MAVT-based segmentation for data analysis of sequential [(18)F]fludarabine PET/CT studies and with total tumour-based segmentation for comparison with histologically derived data. The correlation between the MAVT and [(18)F]fludarabine accumulation (%ID) in those viable tissues was equally significant for both vehicle- or rituximab-treated mice; for these latter, the presence of lymphoid tissues at the end of imaging sessions was confirmed histologically. A stronger correlation was demonstrated between quantitative values extracted from [(18)F]fludarabine-PET and histology (r (2) = 0.91, p < 0.001) when compared to [(18)F]FDG-PET (r (2) = 0.55, p = 0.03). [(18)F]Fludarabine uptake in the follicular lymphoma model compared favourably with [(18)F]FDG in terms of specificity for PET imaging and also remained robust for persistent viable tissues following rituximab therapy. [(18)F]Fludarabine PET/CT may be a promising approach to evaluate lymphoma, including their surveillance during therapy.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor > Associate Professor 1 14%
Student > Doctoral Student 1 14%
Student > Master 1 14%
Unknown 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Chemistry 2 29%
Medicine and Dentistry 2 29%
Immunology and Microbiology 1 14%

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 19 May 2015.
All research outputs
#8,440,255
of 15,340,060 outputs
Outputs from EJNMMI Research
#81
of 338 outputs
Outputs of similar age
#97,790
of 233,103 outputs
Outputs of similar age from EJNMMI Research
#1
of 1 outputs
Altmetric has tracked 15,340,060 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 338 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 74% of its peers.
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 233,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them