Evidence map›Paper›PMID 25995182›Full record

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

Myocardial blood flow quantification by Rb-82 cardiac PET/CT: A detailed reproducibility study between two semi-automatic analysis programs.

Vincent Dunet, Ran Klein, Gilles Allenbach, Jennifer Renaud, Robert A deKemp, John O Prior

Abstract readComparative StudyEvaluation StudyValidation Study
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. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–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

20 citing papers in PubMed.

  1. Article
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  3. Machine learning: a new era for cardiovascular pregnancy physiology and cardio-obstetrics research.American journal of physiology. Heart and circulatory physiology · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.European journal of nuclear medicine and molecular imaging · 2021
    Article
  8. Article
  9. Relative disagreement among different software packages in PET-flow quantitation: An appeal for consistency.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  10. Article
  11. Article
  12. Lost in quantification…: The influence of different software packages on flow quantification measures.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  13. Protection of coronary circulation: Evaluation by PET perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  14. Article
  15. Article
  16. Myocardial blood flow quantification by Rb-82 cardiac PET/CT: Methodological issues on reproducibility study.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Article
  17. Review
  18. Article
  19. Review
  20. Methods for evaluating the agreement between diagnostic tests.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Vincent DunetDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Ran KleinUniversity of Ottawa Heart Institute, Cardiac PET Centre, Ottawa, Canada.
Gilles AllenbachDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Jennifer RenaudUniversity of Ottawa Heart Institute, Cardiac PET Centre, Ottawa, Canada.
Robert A deKempUniversity of Ottawa Heart Institute, Cardiac PET Centre, Ottawa, Canada.
John O PriorDepartment of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Rue du Bugnon 46, 1011, Lausanne, Switzerland. john.prior@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral analysis software packages for myocardial blood flow (MBF) quantification from cardiac PET studies exist, but they have not been compared using concordance analysis, which can characterize precision and bias separately. Reproducible measurements are needed for quantification to fully develop its clinical potential.

methodsFifty-one patients underwent dynamic Rb-82 PET at rest and during adenosine stress. Data were processed with PMOD and FlowQuant (Lortie model). MBF and myocardial flow reserve (MFR) polar maps were quantified and analyzed using a 17-segment model. Comparisons used Pearson's correlation ρ (measuring precision), Bland and Altman limit-of-agreement and Lin's concordance correlation ρc = ρ·C b (C b measuring systematic bias).

resultsLin's concordance and Pearson's correlation values were very similar, suggesting no systematic bias between software packages with an excellent precision ρ for MBF (ρ = 0.97, ρc = 0.96, C b = 0.99) and good precision for MFR (ρ = 0.83, ρc = 0.76, C b = 0.92). On a per-segment basis, no mean bias was observed on Bland-Altman plots, although PMOD provided slightly higher values than FlowQuant at higher MBF and MFR values (P < .0001).

conclusionsConcordance between software packages was excellent for MBF and MFR, despite higher values by PMOD at higher MBF values. Both software packages can be used interchangeably for quantification in daily practice of Rb-82 cardiac PET.

Indexed as

Coronary CirculationRubidium RadioisotopesSoftwareAlgorithmsBlood Flow VelocityCoronary Artery DiseaseFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMachine LearningMaleMiddle AgedMyocardial Perfusion ImagingPattern Recognition, AutomatedPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRubidium-82Rubidium Radioisotopesaccuracyagreementcomparisonconcordancemyocardial perfusionPETprecisionquantificationrubidium-82Software

Identifiers

PMID25995182
PMCPMC4867775

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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.