Evidence map›Paper›PMID 29948889›Full record

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

Optimization of reconstruction and quantification of motion-corrected coronary PET-CT.

Mhairi K Doris, Yuka Otaki, Sandeep K Krishnan, Jacek Kwiecinski, Mathieu Rubeaux, Adam Alessio, Tinsu Pan, Sebastien Cadet, Damini Dey, Marc R Dweck and 3 more

Abstract 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 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Vascular medicine (London, England) · 2025
    Pooled it
  2. Trial
  3. Head-to-head comparison ofJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2024
    Trial
  4. From incidental positron emission uptake toFrontiers in cardiovascular medicine · 2026
    Review
  5. Sex differences in coronary atherosclerotic plaque activity usingEuropean journal of nuclear medicine and molecular imaging · 2024
    Article
  6. Review
  7. Review
  8. Advanced Cardiac Imaging in the Assessment of Aortic Stenosis.Journal of cardiovascular development and disease · 2023
    Review
  9. AorticJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Article
  11. Review
  12. Article
  13. Artificial intelligence-based quantification of cardiac 18F-sodium fluoride uptake.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  14. Article
  15. 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
  16. Latest Advances in Multimodality Imaging of Aortic Stenosis.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Review
  17. A review on advances inInsights into imaging · 2022
    Review
  18. 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
  19. Machine Learning withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Mhairi K DorisBHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK.
Yuka OtakiDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Sandeep K KrishnanDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jacek KwiecinskiBHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK.
Mathieu RubeauxDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Adam AlessioDepartment of Radiology, University of Washington, Seattle, WA, USA.
Tinsu PanDepartment of Imaging Physics, MD Anderson Cancer Center, The University of Texas, Houston, TX, USA.
Sebastien CadetDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Damini DeyDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Marc R DweckBHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK.
David E NewbyBHF Centre for Cardiovascular Science, Clinical Research Imaging Centre, Edinburgh Heart Centre, University of Edinburgh, 49 Little France Crescent, Edinburgh, Scotland, EH16 4SB, UK.
Daniel S BermanDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Piotr J SlomkaDepartment of Imaging and Medicine and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. piotr.slomka@cshs.org.

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 FS/17/79/33226British Heart Foundation RG/16/10/32375Medical Research Council G0701127NHLBI NIH HHS R01 HL135557Wellcome TrustWellcome Trust WT103782AIA
6 · The paper itself

Abstract

backgroundCoronary PET shows promise in the detection of high-risk atherosclerosis, but there remains a need to optimize imaging and reconstruction techniques. We investigated the impact of reconstruction parameters and cardiac motion-correction in

methodsTwenty-two patients underwent

resultsReconstruction using 24 subsets, 4 iterations, point-spread-function modelling, time of flight, and 5-mm post-filtering provided the highest median SNR (31.5) compared to 4 iterations 0-mm (22.5), 8 iterations 0-mm (21.1), and 8 iterations 5-mm (25.6; all P < .05). Motion-correction improved SNR of culprit lesions (n = 33) (24.5[19.9-31.5]) compared to diastolic (15.7[12.4-18.1]; P < .001) and summed data (22.1[18.9-29.2]; P < .001). Motion-correction increased the SNR difference between culprit and reference lesions (10.9[6.3-12.6]) compared to diastolic (6.2[3.6-10.3]; P = .001) and summed data (7.1 [4.8-11.6]; P = .001).

conclusionsThe number of iterations and extent of post-filtering has marked effects on coronary

Indexed as

Image Processing, Computer-AssistedMotionAgedAtherosclerosisDiastoleElectrocardiographyFemaleFluorine RadioisotopesFluorodeoxyglucose F18HeartHumansMaleMiddle AgedPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorine RadioisotopesFluorodeoxyglucose F18RadiopharmaceuticalsAtherosclerosisCardiac motionComputed tomographyPositron emission tomography

Identifiers

PMID29948889
PMCPMC6289874

What OpenQuestion holds

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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.