Evidence map›Paper›PMID 28432671›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2020

Investigation of the physical effects of respiratory motion compensation in a large population of patients undergoing Tc-99m cardiac perfusion SPECT/CT stress imaging.

P Hendrik Pretorius, Karen L Johnson, Seth T Dahlberg, Michael A King

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2020. 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
1.7field-weighted citation impact, top 16% 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, 27 citations in OpenAlex.

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  9. Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Article
  11. A novel deep-learning-based approach for automatic reorientation of 3D cardiac SPECT images.European journal of nuclear medicine and molecular imaging · 2021
    Article
  12. Dynamic phantoms: Making the right tool for the job.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  13. Article
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  15. Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
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  16. Article
  17. Review
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

4 authors at 1 institution in 1 country.

P Hendrik PretoriusDepartment of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA. Hendrik.Pretorius@umassmed.edu.
Karen L JohnsonDepartment of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Seth T DahlbergDepartment of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Michael A KingDepartment of Radiology, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
University of Massachusetts Chan Medical School · US

Funding

PATIENT MOTION DETECTION AND COMPENSATION IN SPECTR01EB001457 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KING, MICHAEL A · 2003 to 2013
$5.7M
Probing Dose Limits in Cardiac SPECT with Reconstruction and Personalized ImagingR01HL122484 · NHLBI · ILLINOIS INSTITUTE OF TECHNOLOGY · PI KING, MICHAEL A, WERNICK, MILES N · 2014 to 2018
$3.9M
NHLBI NIH HHS R01 HL122484NIBIB NIH HHS R01 EB001457
6 · The paper itself

Abstract

backgroundRespiratory motion can deteriorate image fidelity in cardiac perfusion SPECT. We determined the extent of respiratory motion, assessed its impact on image fidelity, and investigated the existence of gender differences, thereby examining the influence of respiratory motion in a large population of patients.

methodsOne thousand one hundred and three SPECT/CT patients underwent visual tracking of markers on their anterior surface during stress acquisition to track respiratory motion. The extent of motion was estimated by registration. Visual indicators of changes in cardiac slices with motion correction, and the correlation between the extent of motion with changes in segmental-counts were assessed.

resultsRespiratory motion in the head-to-feet direction was the largest component of motion, varying between 1.1 and 37.4 mm, and was statistically significantly higher (p = 0.002) for males than females. In 33.0% of the patients, motion estimates were larger than 10 mm. Patients progressively show more distinct visual changes with an increase in the extent of motion. The increase in segmental-count differences in the anterior, antero-lateral, and inferior segments correlated with the extent of motion.

conclusionsRespiratory motion correction diminished the artefactual reduction in anterior and inferior wall counts associated with respiratory motion. The extent of improvement was strongly related to the magnitude of motion.

Indexed as

ArtifactsMyocardial Perfusion ImagingTomography, Emission-Computed, Single-PhotonAdultAgedAged, 80 and overFemaleHeart DiseasesHumansMaleMiddle AgedMotionRadiopharmaceuticalsRespiratory MechanicsSex FactorsTechnetium Tc 99m SestamibiRadiopharmaceuticalsTechnetium Tc 99m SestamibiCardiac perfusionMotion trackingRespiratory motion estimation and correctionSPECT/CT

Identifiers

PMID28432671
PMCPMC7714447
OpenAlexW2606172798

What OpenQuestion holds

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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.