Evidence map›Paper›PMID 29572594›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2019

Blood pool and tissue phase patient motion effects on

Benjamin C Lee, Jonathan B Moody, Alexis Poitrasson-Rivière, Amanda C Melvin, Richard L Weinberg, James R Corbett, Edward P Ficaro, Venkatesh L Murthy

Open access · greenAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 47 citations in OpenAlex.

  1. Utility ofCirculation. Cardiovascular imaging · 2025
    Trial
  2. 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
  3. Trial
  4. Added value of myocardial blood flow usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Trial
  5. Reducing motion-correction-induced variability inJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Trial
  6. Article
  7. Diagnosis of multivessel coronary artery disease usingJapanese journal of radiology · 2026
    Article
  8. Article
  9. Article
  10. Dynamic frame-by-frame motion correction forEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  11. Article
  12. Downward myocardial creep during stress PET imaging is inversely associated with mortality.European journal of nuclear medicine and molecular imaging · 2024
    Article
  13. Detection and correction of patient motion in dynamicJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  14. Automated dynamic motion correction improves repeatability and reproducibility of myocardial blood flow quantification with rubidium-82 PET imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  15. Influence of patient motion on quantitative accuracy in cardiacJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  16. Moving forward with motion reduction, detection and correction in cardiac PET.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  17. CardiacJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  18. A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Benjamin C LeeINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 8108, USA. blee@inviasolutions.com.
Jonathan B MoodyINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 8108, USA.
Alexis Poitrasson-RivièreINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 8108, USA.
Amanda C MelvinDivision of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
Richard L WeinbergDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
James R CorbettINVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 8108, USA.
Edward P Ficaro *INVIA Medical Imaging Solutions, 3025 Boardwalk St., Suite 200, Ann Arbor, MI, 8108, USA.
Venkatesh L Murthy *Division of Nuclear Medicine, Department of Radiology, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USCorvia Medical (United States) · USMichigan Medicine · US

Funding

Molecular markers of early cardiometabolic health transitions in the CARDIA studyR01HL136685 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MURTHY, VENKATESH LOCHARLA, SHAH, RAVI · 2017 to 2021
$2.6M
NHLBI NIH HHS R01 HL136685
6 · The paper itself

Abstract

backgroundPatient motion can lead to misalignment of left ventricular volumes of interest and subsequently inaccurate quantification of myocardial blood flow (MBF) and flow reserve (MFR) from dynamic PET myocardial perfusion images. We aimed to identify the prevalence of patient motion in both blood and tissue phases and analyze the effects of this motion on MBF and MFR estimates.

methodsWe selected 225 consecutive patients that underwent dynamic stress/rest rubidium-82 chloride (

resultsMild to moderate motion (5-15 mm) was most prominent in the blood phase in 63% and 44% of the stress and rest studies, respectively. This motion was observed with frequencies of 75% in the septal and inferior directions for stress and 44% in the septal direction for rest. Images with blood phase isolated motion had mean global MBF and MFR errors of 2%-5%. Isolating blood phase motion in the inferior direction resulted in mean MBF and MFR errors of 29%-44% in the RCA territory. Flow errors due to tissue phase isolated motion were within 1%.

conclusionsPatient motion was most prevalent in the blood phase and MBF and MFR errors increased most substantially with motion in the inferior direction. Motion correction focused on these motions is needed to reduce MBF and MFR errors.

Indexed as

Myocardial Perfusion ImagingPositron-Emission TomographyAgedCoronary Artery DiseaseCoronary CirculationFemaleHeartHumansImage Processing, Computer-AssistedMaleMiddle AgedMotionMyocardiumRubidium RadioisotopesRubidium-82Rubidium RadioisotopesCoronary blood flowCoronary flow reserveImage artifactsMyocardial perfusion imaging: PETPharmacologic stress

Identifiers

PMID29572594
PMCPMC6151305
OpenAlexW2790043658

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.