Evidence map›Paper›PMID 26068972›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2016

Derivation of a respiration trigger signal in small animal list-mode PET based on respiration-induced variations of the ECG signal.

Andrei Todica, Sebastian Lehner, Hao Wang, Mathias J Zacherl, Katharina Nekolla, Erik Mille, Guoming Xiong, Peter Bartenstein, Christian la Fougère, Marcus Hacker and 1 more

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In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Andrei TodicaDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany. andrei.todica@med.uni-muenchen.de.
Sebastian LehnerDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Hao WangDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Mathias J ZacherlDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Katharina NekollaDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Erik MilleDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Guoming XiongDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.
Christian la FougèreDepartment of Clinical Molecular Imaging and Nuclear Medicine, University Hospital Tübingen, Tübingen, Germany.
Marcus HackerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University Vienna, Vienna, Austria.
Guido BöningDepartment of Nuclear Medicine, University of Munich, Marchioninistr. 15, 81377, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRaw PET list-mode data contains motion artifacts causing image blurring and decreased spatial resolution. Unless corrected, this leads to underestimation of the tracer uptake and overestimation of the lesion size, as well as inaccuracies with regard to left ventricular volume and ejection fraction (LVEF), especially in small animal imaging. METHODS AND

resultsA respiratory trigger signal from respiration-induced variations in the electro-cardiogram (ECG) was detected. Original and revised list-mode PET data were used for calculation of left ventricular function parameters using both respiratory gating techniques. For adequately triggered datasets we saw no difference in mean respiratory cycle period between the reference standard (RRS) and the ECG-based (ERS) methods (1120 ± 159 ms vs 1120 ± 159 ms; P = n.s.). While the ECG-based method showed somewhat higher signal noise (66 ± 22 ms vs 51 ± 29 ms; P < .001), both respiratory triggering techniques yielded similar estimates for EDV, ESV, LVEF (RRS: 387 ± 56 µL, 162 ± 34 µL, 59 ± 5%; ERS: 389 ± 59 µL, 163 ± 35 µL, 59 ± 4%; P = n.s.).

conclusionsThis study showed that respiratory gating signals can be accurately derived from cardiac trigger information alone, without the additional requirement for dedicated measurement of the respiratory motion in rats.

Indexed as

AlgorithmsAnimalsCardiac-Gated Imaging TechniquesElectrocardiographyFemaleHeart VentriclesImage EnhancementPattern Recognition, AutomatedPositron-Emission TomographyRatsRats, Sprague-DawleyReproducibility of ResultsRespiratory-Gated Imaging TechniquesSensitivity and SpecificityVentricular Function, LeftFDG PETleft ventricular functionmyocardiumratrespiratory gating

Identifiers

PMID26068972

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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.