Evidence map›Paper›PMID 27730469›Full record

ArticleMolecular imaging and biology2017

Characterization of "γ-Eye": a Low-Cost Benchtop Mouse-Sized Gamma Camera for Dynamic and Static Imaging Studies.

Maria Georgiou, Eleftherios Fysikopoulos, Konstantinos Mikropoulos, Eirini Fragogeorgi, George Loudos

Abstract read
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Article in Molecular imaging and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Maria GeorgiouBET Solutions, R & D, Athens, Greece. mgeorgiou@betsolutions.gr.
Eleftherios FysikopoulosBET Solutions, R & D, Athens, Greece.
Konstantinos MikropoulosDepartment of Biomedical Engineering, Technological Educational Institute of Athens, Athens, Greece.
Eirini FragogeorgiNational Centre for Scientific Research NCSR "Demokritos", Institute of Nuclear and Radiological Sciences and Technology, Energy and Safety, Athens, Greece.
George LoudosDepartment of Biomedical Engineering, Technological Educational Institute of Athens, Athens, Greece.
Institute of Nuclear & Radiological Sciences and Technology, Energy & SafetyTechnological Educational Institute of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSeveral preclinical imaging systems are commercially available, but their purchase and maintenance costs make them unaffordable for the majority of small- and medium-sized groups. Taking into account the needs of average users, we developed "γ-eye", a mouse-sized, benchtop γ-camera suitable for in vivo scintigraphic imaging. PROCEDURES: The γ-eye is based on two position-sensitive photomultiplier tubes, coupled to a CsI(Na) pixelated scintillator and a low-energy lead collimator with parallel hexagonal holes.

resultsThe spatial resolution of the system is 2 mm at 0 mm. The energy resolution is 26 % at 140 keV and the maximum recorded sensitivity 210 cps/MBq. The system was evaluated in a proof-of-concept animal study, using three different clinical Tc-99m-labeled radiopharmaceuticals. Phantom and animal studies demonstrate its ability to provide semiquantitative results even for short scans.

conclusionsSystems' performance, dimensions, and cost make γ-eye a unique solution for efficient whole-body mouse nuclear imaging.

Indexed as

Gamma CamerasAnimalsDiagnostic ImagingMice, SCIDTechnetiumTechnetiumPerformance evaluationPosition sensitive photomultiplier tubeScintigraphic small animal imagingSingle photon emission

Identifiers

PMID27730469
OpenAlexW2530401520

What OpenQuestion holds

Textmetadata
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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.