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A new method to quantify tau pathologies with 11C-PBB3 PET using reference tissue voxels extracted from brain cortical gray matter

Overview of attention for article published in EJNMMI Research, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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1 news outlet

Citations

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22 Dimensions

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37 Mendeley
Title
A new method to quantify tau pathologies with 11C-PBB3 PET using reference tissue voxels extracted from brain cortical gray matter
Published in
EJNMMI Research, March 2016
DOI 10.1186/s13550-016-0182-y
Pubmed ID
Authors

Yasuyuki Kimura, Hironobu Endo, Masanori Ichise, Hitoshi Shimada, Chie Seki, Yoko Ikoma, Hitoshi Shinotoh, Makiko Yamada, Makoto Higuchi, Ming-Rong Zhang, Tetsuya Suhara

Abstract

Quantitative in vivo imaging of tau pathologies potentially improves diagnostic accuracy of neurodegenerative tauopathies and would facilitate evaluation of disease-modifying drugs targeting tau lesions in these diseases. Tau pathology can be quantified by reference tissue models without arterial blood sampling when reference tissue devoid of target binding sites is available. The cerebellar cortex has been used as a reference region in analyses of tau positron emission tomography (PET) data in Alzheimer's disease (AD). However, in a significant subset of tauopathies such as progressive supranuclear palsy and corticobasal degeneration, tau accumulation may occur in diverse brain regions including the cerebellar cortex. This hampers selection of a distinctive reference region lacking binding sites for a tau PET ligand. The purpose of this study was to develop a new method to quantify specific binding of a PET radioligand, (11)C-PBB3, to tau deposits using reference voxels extracted from cortical gray matter, which have a low likelihood of containing tau accumulations. We reanalyzed (11)C-PBB3 PET data of seven mild AD patients (ADs) and seven elderly healthy control subjects (HCs) acquired in a previous study. As a standard method, parametric images of binding potential ([Formula: see text]) were initially generated using reference tissue manually defined on the cerebellar cortex. We then constructed a frequency histogram of [Formula: see text] values in these parametric images and selected cortical gray matter voxels contained in a certain range of the histogram with a low likelihood of having (11)C-PBB3 binding sites. Finally, these reference voxels were used for generating new [Formula: see text] parametric images. Reference tissue voxels defined by the histogram analysis spread throughout the cortical gray matter of AD and HC brains. The [Formula: see text] values determined by our new method correlated very well with those estimated by the standard method (r (2) = 0.94), although the binding estimates by the current method were slightly higher by ~0.14 than those by the standard method. We developed and validated a new method enabling quantification of tau lesions that can accumulate in the cerebellum and other extensive brain areas. This method may be applicable to all tauopathy subtypes and various tau PET ligands besides (11)C-PBB3. The number is UMIN000009052.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 5%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 30%
Student > Postgraduate 3 8%
Student > Master 3 8%
Student > Bachelor 3 8%
Student > Ph. D. Student 3 8%
Other 8 22%
Unknown 6 16%
Readers by discipline Count As %
Medicine and Dentistry 12 32%
Neuroscience 5 14%
Agricultural and Biological Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Nursing and Health Professions 1 3%
Other 6 16%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 March 2016.
All research outputs
#4,185,991
of 22,856,968 outputs
Outputs from EJNMMI Research
#54
of 557 outputs
Outputs of similar age
#65,360
of 300,258 outputs
Outputs of similar age from EJNMMI Research
#2
of 14 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 557 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 86% 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 300,258 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.