Evidence map›Paper›PMID 23982454›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

Absolute myocardial flow quantification with (82)Rb PET/CT: comparison of different software packages and methods.

Abdel K Tahari, Andy Lee, Mahadevan Rajaram, Kenji Fukushima, Martin A Lodge, Benjamin C Lee, Edward P Ficaro, Stephan Nekolla, Ran Klein, Robert A deKemp and 3 more

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Consistent tracer administration profile improves test-retest repeatability of myocardial blood flow quantification withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Trial
  2. Feasibility and operator variability of myocardial blood flow and reserve measurements with ⁹⁹mTc-sestamibi quantitative dynamic SPECT/CT imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2014
    Trial
  3. Article
  4. Patient-tailored risk assessment of obstructive coronary artery disease using Rubidium-82 PET-based myocardial flow quantification with visual interpretation.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  5. Article
  6. Machine learning based model to diagnose obstructive coronary artery disease using calcium scoring, PET imaging, and clinical data.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. Review
  8. Article
  9. Effect of temporal sampling protocols on myocardial blood flow measurements using Rubidium-82 PET.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  10. Quantitative myocardial perfusionJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  11. The next step in improving (semi-)quantitative MPI PET.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  12. Value of SiPM PET in myocardial perfusion imaging using Rubidium-82.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  13. Article
  14. Article
  15. More evidence for adequate test-retest repeatability of myocardial blood flow quantification withJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  16. Article
  17. Cardiac PET imaging: Lost in quantification. It's time to find the way.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  18. Review
  19. Article
  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

13 authors.

Abdel K TahariDivisions of Nuclear Medicine, Johns Hopkins Medical Institutions, Department of Radiology, 601 N. Caroline Street, Suite 3223, Baltimore, MD, 21287, USA, atahari1@jhmi.edu.
Andy Lee
Mahadevan Rajaram
Kenji Fukushima
Martin A Lodge
Benjamin C Lee
Edward P Ficaro
Stephan Nekolla
Ran Klein
Robert A deKemp
Richard L Wahl
Frank M Bengel
Paco E Bravo

Funding

Training for Clinician Scientists in Imaging ResearchT32EB006351 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI POMPER, MARTIN G · 2006 to 2022
$4.0M
NIBIB NIH HHS T32 EB006351NIBIB NIH HHS T32EB006351
6 · The paper itself

Abstract

purposeIn clinical cardiac (82)Rb PET, globally impaired coronary flow reserve (CFR) is a relevant marker for predicting short-term cardiovascular events. However, there are limited data on the impact of different software and methods for estimation of myocardial blood flow (MBF) and CFR. Our objective was to compare quantitative results obtained from previously validated software tools.

methodsWe retrospectively analyzed cardiac (82)Rb PET/CT data from 25 subjects (group 1, 62 ± 11 years) with low-to-intermediate probability of coronary artery disease (CAD) and 26 patients (group 2, 57 ± 10 years; P=0.07) with known CAD. Resting and vasodilator-stress MBF and CFR were derived using three software applications: (1) Corridor4DM (4DM) based on factor analysis (FA) and kinetic modeling, (2) 4DM based on region-of-interest (ROI) and kinetic modeling, (3) MunichHeart (MH), which uses a simplified ROI-based retention model approach, and (4) FlowQuant (FQ) based on ROI and compartmental modeling with constant distribution volume.

resultsResting and stress MBF values (in milliliters per minute per gram) derived using the different methods were significantly different: using 4DM-FA, 4DM-ROI, FQ, and MH resting MBF values were 1.47 ± 0.59, 1.16 ± 0.51, 0.91 ± 0.39, and 0.90 ± 0.44, respectively (P<0.001), and stress MBF values were 3.05 ± 1.66, 2.26 ± 1.01, 1.90 ± 0.82, and 1.83 ± 0.81, respectively (P<0.001). However, there were no statistically significant differences among the CFR values (2.15 ± 1.08, 2.05 ± 0.83, 2.23 ± 0.89, and 2.21 ± 0.90, respectively; P=0.17). Regional MBF and CFR according to vascular territories showed similar results. Linear correlation coefficient for global CFR varied between 0.71 (MH vs. 4DM-ROI) and 0.90 (FQ vs. 4DM-ROI). Using a cut-off value of 2.0 for abnormal CFR, the agreement among the software programs ranged between 76 % (MH vs. FQ) and 90 % (FQ vs. 4DM-ROI). Interobserver agreement was in general excellent with all software packages.

conclusionQuantitative assessment of resting and stress MBF with (82)Rb PET is dependent on the software and methods used, whereas CFR appears to be more comparable. Follow-up and treatment assessment should be done with the same software and method.

Indexed as

Coronary CirculationRubidium RadioisotopesSoftwareFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMultimodal ImagingMyocardial Perfusion ImagingPositron-Emission TomographyRetrospective StudiesTomography, X-Ray ComputedRubidium Radioisotopes

Identifiers

PMID23982454
PMCPMC3849220

What OpenQuestion holds

Textmetadata
LicenceTDM
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.