Evidence map›Paper›PMID 30365550›Full record

ArticlePloS one2018

MR-based spatial normalization improves [18F]MNI-659 PET regional quantification and detectability of disease effect in the Q175 mouse model of Huntington's disease.

Daniele Bertoglio, Jeroen Verhaeghe, Lauren Kosten, David Thomae, Annemie Van der Linden, Sigrid Stroobants, John Wityak, Celia Dominguez, Ladislav Mrzljak, Steven Staelens

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 31 citations in OpenAlex.

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  15. Validation and noninvasive kinetic modeling of [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020
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  17. Renal statistical map for positron emission tomography with [O-15] water.American journal of nuclear medicine and molecular imaging · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Daniele BertoglioMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.ORCID 0000-0003-4205-5432
Jeroen VerhaegheMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
Lauren KostenMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
David ThomaeMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
Annemie Van der LindenBio-Imaging Lab, University of Antwerp, Wilrijk, Belgium.
Sigrid StroobantsMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
John WityakCHDI Foundation, Princeton, NJ, United States of America.
Celia DominguezCHDI Foundation, Princeton, NJ, United States of America.
Ladislav MrzljakCHDI Foundation, Princeton, NJ, United States of America.
Steven StaelensMolecular Imaging Center Antwerp (MICA), University of Antwerp, Wilrijk, Belgium.
University of Antwerp · BECHDI Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The positron emission tomography (PET) tracer [18F]MNI-659, selective for phosphodiesterase 10A (PDE10A), is a promising tool to assess an early biomarker for Huntington's disease (HD). In this study we investigated [18F]MNI-659 uptake in the Q175 mouse model of HD. Given the focal striatal distribution of PDE10A as well as the striatal atrophy occurring in HD, the spatial normalization approach applied during the processing could sensibly affect the accuracy of the regional quantification. We compared the use of a magnetic resonance images (MRI) template based on individual MRI over a PET and CT templates for regional quantification and spatial normalization of [18F]MNI-659 PET images. We performed [18F]MNI-659 PET imaging in six months old heterozygous (HET) Q175 mice and wild-type (WT) littermates, followed by X-ray computed tomography (CT) scan. In the same week, individual T2-weighted MRI were acquired. Spatial normalization and regional quantification of the PET/CT images was performed on MRI, [18F]MNI-659 PET, or CT template and compared to binding potential (BPND) using volumes manually delineated on the individual MR images. Striatal volume was significantly reduced in HET mice (-7.7%, p<0.0001) compared to WT littermates. [18F]MNI-659 BPND in striatum of HET animals was significantly reduced (p<0.0001) when compared to WT littermates using all three templates. However, BPND values were significantly higher for HET mice using the PET template compared to the MRI and CT ones (p<0.0001), with an overestimation at lower activities. On the other hand, the CT template spatial normalization introduced larger variability reducing the effect size. The PET and CT template-based approaches resulted in a lower accuracy in BPND quantification with consequent decrease in the detectability of disease effect. This study demonstrates that for [18F]MNI-659 brain PET imaging in mice the use of an MRI-based spatial normalization is recommended to achieve accurate quantification and fully exploit the detectability of disease effect.

Indexed as

AnimalsBrainDisease Models, AnimalFluorine RadioisotopesHumansHuntington DiseaseImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLPhosphoric Diester HydrolasesFluorine-18Fluorine RadioisotopesPhosphoric Diester Hydrolases

Identifiers

PMID30365550
PMCPMC6203386
OpenAlexW2898308612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.