Evidence map›Paper›PMID 33122774›Full record

ArticleScientific reports2020

Capabilities of multi-pinhole SPECT with two stationary detectors for in vivo rat imaging.

Jan P Janssen, Jan V Hoffmann, Takayuki Kanno, Naoko Nose, Jan-Peter Grunz, Masahisa Onoguchi, Xinyu Chen, Constantin Lapa, Andreas K Buck, Takahiro Higuchi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 5 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

10 authors at 4 institutions in 2 countries.

Jan P JanssenDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany.
Jan V HoffmannDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany.
Takayuki KannoComprehensive Heart Failure Centre, University Hospital Würzburg, Würzburg, Germany.
Naoko NoseGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Jan-Peter GrunzDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Masahisa OnoguchiDepartment of Quantum Medical Technology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Xinyu ChenComprehensive Heart Failure Centre, University Hospital Würzburg, Würzburg, Germany.
Constantin LapaNuclear Medicine, Medical Faculty, University of Augsburg, Augsburg, Germany.
Andreas K BuckDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany.
Takahiro HiguchiDepartment of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Strasse 6, 97080, Würzburg, Germany. higuchi_t@ukw.de.
Universitätsklinikum Würzburg · DEUniversity of Augsburg · DEKanazawa University · JPOkayama University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to investigate the image quality of the U-SPECT5/CT E-Class a micro single-photon emission computed tomography (SPECT) system with two large stationary detectors for visualization of rat hearts and bones using clinically available

Indexed as

AnimalsBone and BonesEquipment DesignHeart VentriclesImage Processing, Computer-AssistedMicePhantoms, ImagingRatsTechnetiumTechnetium Tc 99m SestamibiTomography, Emission-Computed, Single-PhotonTechnetiumTechnetium Tc 99m Sestamibi

Identifiers

PMID33122774
PMCPMC7596477
OpenAlexW3097144562

What OpenQuestion holds

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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.