Evidence map›Paper›PMID 34967914›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2022

Improved myocardial blood flow estimation with residual activity correction and motion correction in

Yuka Otaki, Serge D Van Kriekinge, Chih-Chun Wei, Paul Kavanagh, Ananya Singh, Tejas Parekh, Marcelo Di Carli, Jamshid Maddahi, Arkadiusz Sitek, Christopher Buckley and 2 more

Abstract readClinical Trial, Phase III
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Utility ofCirculation. Cardiovascular imaging · 2025
    Trial
  2. Subendocardial quantification enhances coronary artery disease detection inEuropean journal of nuclear medicine and molecular imaging · 2025
    Trial
  3. Automatic motion correction for myocardial blood flow estimation improves diagnostic performance for coronary artery disease inJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Trial
  4. First Total-Body Kinetics Study ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  5. Article
  6. Dynamic frame-by-frame motion correction forEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  7. Article
  8. Article
  9. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Article
  10. The clinical promise ofNature cardiovascular research · 2025
    Article
  11. Article
  12. [European journal of nuclear medicine and molecular imaging · 2022
    Article
  13. Higher accuracy of [European journal of nuclear medicine and molecular imaging · 2022
    Article
  14. Article
  15. Review
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

12 authors.

Yuka OtakiDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Serge D Van KriekingeDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Chih-Chun WeiDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Paul KavanaghDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Ananya SinghDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Tejas ParekhDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Marcelo Di CarliCardiovascular Imaging Program, Departments of Medicine and Radiology and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Jamshid MaddahiDivision of Nuclear Medicine, Department of Molecular and Medical Pharmacology and Division of Cardiology, Department of Medicine, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Arkadiusz SitekSano Centre for Computational Medicine, Cracow, Malopolskie, Poland.
Christopher BuckleyGE Healthcare, Pharmaceutical Diagnostics, Buckinghamshire, UK.
Daniel S BermanDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA.
Piotr J SlomkaDepartment of Medicine (Division of Artificial Intelligence)- Imaging- and Biomedical Sciences- Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Ste. Metro 203, Los Angeles, CA, 90048, USA. Piotr.Slomka@cshs.org.ORCID http://orcid.org/0000-0002-6110-938X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe sought to evaluate the diagnostic performance for coronary artery disease (CAD) of myocardial blood flow (MBF) quantification with

methodsIn total, 231 patients undergoing same-day pharmacologic rest and stress

resultsThe area-under the receiver operating characteristics curve (AUC [95% confidence interval]) of stress MBF with MC/RAC was higher for minimal segment (0.89 [0.85-0.94]) than for minimal vessel (0.86 [0.81-0.92], p = 0.03) or global estimation (0.81 [0.75-0.87], p < 0.0001). The AUC of MFR with MC/RAC was higher for minimal segment (0.87 [0.81-0.93]) than for minimal vessel (0.83 [0.76-0.90], p = 0.014) or global estimation (0.77 [0.69-0.84], p < 0.0001). The AUCs of minimal segment stress MBF and MFR with MC/RAC were higher compared to those with no MC/RAC (p < 0.001 for both) or no MC/no RAC (p < 0.0001 for both).

conclusionsMinimal segment MBF or MFR estimation with MC and RAC improves the diagnostic performance for obstructive CAD compared to global assessment.

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialMyocardial Perfusion ImagingCoronary CirculationHumansPositron-Emission Tomography18F-Flurpiridaz PETMotion correctionMyocardial blood flowMyocardial flow reserveResidual activity correction

Identifiers

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.