Evidence map›Paper›PMID 39691678›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

Reproducibility of quantitative myocardial perfusion and coronary flow capacity by positron emission tomography: 3D digital silicon photomultiplier solid state vs. legacy 2D analogue systems for clinical practice and trials.

Amanda Roby, Lindsey Harmon, Kelly Sander, Linh Bui, Danai Kitkungvan, Monica Patel, Jagat Narula, Nils P Johnson, K Lance Gould

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

9 authors.

Amanda RobyWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Lindsey HarmonWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Kelly SanderWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Linh BuiWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Danai KitkungvanWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Monica PatelWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
Jagat NarulaWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.ORCID https://orcid.org/0000-0002-0280-3996
Nils P JohnsonWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.
K Lance GouldWeatherhead PET Center for Preventing and Reversing Atherosclerosis, Division of Cardiology, Department of Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Memorial Hermann Hospital, 6431 Fannin St., Room MSB 4.256 Houston, TX 77030, USA.ORCID https://orcid.org/0000-0003-4019-5941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Quantitative rest-stress myocardial perfusion in millilitres per minute per gram among multiple 2D and 3D positron emission tomography-computed tomography (PET-CT) scanners is essential for personalized cardiac management and clinical trials. Accordingly, this study reports the accuracy and precision of quantitative rest-stress millilitres per minute per gram and coronary flow capacity among 2D and two different digital 3D silicon photomultiplier (SiPM) PET-CT scanners for quantifying the severity of coronary pathophysiology for clinical trials or guiding interventions vs. medical treatment. Methods and results: One hundred seventy-one participants underwent 748 paired serial rest or stress PET perfusion imaging in the same person on 'same day' or 'different days' using rubidium-82 (Rb-82) pharmacologic stress on 2D and two different digital 3D SiPM PET-CT scanners for global myocardial perfusion in millilitres per minute per gram. For methodological variability of 66 'same-day' serial paired PETs in the same person by 2D and two different 3D SiPM PET-CT scanners, rest-stress global myocardial millilitres per minute per gram had no significant bias ( Conclusion: For quantifying myocardial perfusion in the same person on 'same day' or 'different days' using Rb-82, 3D SiPM PET-CT is comparably reproducible to analogue 2D PET-CT with the HeartSee perfusion model as the basis for quantifying physiologic severity of coronary heart disease to guide clinical decision-making or randomized clinical trials confirming these outcomes.

Indexed as

coronary flow capacitycoronary flow reservecoronary physiologymyocardial blood flowpositron emission tomographyquantitative myocardial perfusion

Identifiers

PMID39691678
PMCPMC11651154

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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.