Evidence map›Paper›PMID 30442755›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2019

Data-Driven Gross Patient Motion Detection and Compensation: Implications for Coronary

Martin Lyngby Lassen, Jacek Kwiecinski, Sebastien Cadet, Damini Dey, Chengjia Wang, Marc R Dweck, Daniel S Berman, Guido Germano, David E Newby, Piotr J Slomka

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Vascular medicine (London, England) · 2025
    Pooled it
  2. Coronary artery disease imaging with total-body PET.The British journal of radiology · 2026
    Review
  3. From incidental positron emission uptake toFrontiers in cardiovascular medicine · 2026
    Review
  4. Coronary sodium [European journal of nuclear medicine and molecular imaging · 2024
    Observational
  5. Myocardial creep and cardiorespiratory motion correction improves diagnostic accuracy of Rubidium-82 cardiac positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  6. Review
  7. Advanced Cardiac Imaging in the Assessment of Aortic Stenosis.Journal of cardiovascular development and disease · 2023
    Review
  8. AorticJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  9. Review
  10. Article
  11. Respiration-averaged CT versus standard CT attenuation map for correction ofJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  12. Observer repeatability and interscan reproducibility of 18F-sodium fluoride coronary microcalcification activity.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  13. Aortic valve imaging usingEJNMMI physics · 2022
    Article
  14. Optimizing arterialJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  15. Article
  16. Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Review
  17. Article
  18. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Review
  19. Advances in Quantitative Analysis ofMolecular imaging · 2021
    Review
  20. Article
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 3 institutions in 2 countries.

Martin Lyngby LassenCedars-Sinai Medical Center, Los Angeles, California; and.
Jacek KwiecinskiCedars-Sinai Medical Center, Los Angeles, California; and.
Sebastien CadetCedars-Sinai Medical Center, Los Angeles, California; and.
Damini DeyCedars-Sinai Medical Center, Los Angeles, California; and.
Chengjia WangBritish Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom.
Marc R DweckBritish Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom.
Daniel S BermanCedars-Sinai Medical Center, Los Angeles, California; and.
Guido GermanoCedars-Sinai Medical Center, Los Angeles, California; and.
David E NewbyBritish Heart Foundation Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, Edinburgh, United Kingdom.
Piotr J SlomkaCedars-Sinai Medical Center, Los Angeles, California; and piotr.slomka@cshs.org.
Cedars-Sinai Medical Center · USUniversity of Edinburgh · GBBritish Heart Foundation · GB

Funding

Integrated analysis of coronary anatomy and biology with 18F-fluoride PET and CT angiographyR01HL135557 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2017 to 2020
$3.0M
British Heart Foundation FS/14/78/31020British Heart Foundation RG/16/10/32375NHLBI NIH HHS R01 HL135557
6 · The paper itself

Abstract

Patient motion degrades image quality, affecting the quantitative assessment of PET images. This problem affects studies of coronary lesions in which microcalcification processes are targeted. Coronary PET imaging protocols require scans of up to 30 min, introducing the risk of gross patient motion (GPM) during the acquisition. Here, we investigate the feasibility of an automated data-driven method for the detection of GPM during PET acquisition.

Indexed as

Fluorine RadioisotopesMovementPositron-Emission TomographySodium FluorideAgedCohort StudiesFemaleHeartHumansImage Processing, Computer-AssistedMaleRetrospective StudiesSignal-To-Noise RatioThoraxTime FactorsFluorine-18Fluorine RadioisotopesSodium Fluoridecardiac PETdata-driven motion detectionmotion compensationPET/CT

Identifiers

PMID30442755
PMCPMC6581232
OpenAlexW2901148148

What OpenQuestion holds

Textmetadata
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.