Evidence map›Paper›PMID 36138085›Full record

ArticleScientific reports2022

Development of a new toolbox for mouse PET-CT brain image analysis fully based on CT images and validation in a PD mouse model.

L Presotto, V Bettinardi, D Mercatelli, M Picchio, M Morari, R M Moresco, Sara Belloli

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
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  4. Accurate Reference Region Calculation in Mouse Brain [Molecular imaging and biology · 2026
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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

7 authors.

L PresottoNuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
V BettinardiNuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
D MercatelliDepartment of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
M PicchioNuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
M MorariDepartment of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
R M MorescoNuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Sara BelloliNuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Milan, Italy. sara.belloli@ibfm.cnr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automatic analysis toolboxes are popular in brain image analysis, both in clinical and in preclinical practices. In this regard, we proposed a new toolbox for mouse PET-CT brain image analysis including a new Statistical Parametric Mapping-based template and a pipeline for image registration of PET-CT images based on CT images. The new templates is compatible with the common coordinate framework (CCFv3) of the Allen Reference Atlas (ARA) while the CT based registration step allows to facilitate the analysis of mouse PET-CT brain images. From the ARA template, we identified 27 volumes of interest that are relevant for in vivo imaging studies and provided binary atlas to describe them. We acquired 20 C57BL/6 mice with [

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyAnimalsBrainDisease Models, AnimalImage Processing, Computer-AssistedMagnetic Resonance ImagingMiceMice, Inbred C57BLPositron-Emission TomographyFluorodeoxyglucose F18

Identifiers

PMID36138085
PMCPMC9500043

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Registered trials

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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.