Evidence map›Paper›PMID 29574494›Full record

ReviewCurrent cardiology reports2018

Motion Correction and Its Impact on Absolute Myocardial Blood Flow Measures with PET.

Marina Piccinelli, John R Votaw, Ernest V Garcia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2018. 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. Trial
  2. Article
  3. Article
  4. Article
  5. Detection and correction of patient motion in dynamicJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  6. Article
  7. Article
  8. Short-term repeatability of myocardial blood flow usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  9. Observational
  10. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.European journal of nuclear medicine and molecular imaging · 2021
    Article
  11. Motion correction to enhance absolute myocardial blood flow quantitation by PET.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  12. Article
  13. Impact of regadenoson-induced myocardial creep on dynamic Rubidium-82 PET myocardial blood flow quantification.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  14. No need for frame-wise attenuation correction in dynamic Rubidium-82 PET for myocardial blood flow quantification.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    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

3 authors.

Marina PiccinelliDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Woodruff Memorial Research Building, Room 1203-C, 101 Woodruff Circle, Atlanta, GA, 30322, USA. mpiccin@emory.edu.
John R VotawDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Woodruff Memorial Research Building, Room 1203-C, 101 Woodruff Circle, Atlanta, GA, 30322, USA.
Ernest V GarciaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Woodruff Memorial Research Building, Room 1203-C, 101 Woodruff Circle, Atlanta, GA, 30322, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewMotion artifacts, due to cardiac and respiratory cycles, myocardial cardiac creep, or gross patient movements, have been extensively investigated in the context of relative myocardial perfusion imaging with SPECT and PET. These movements have been identified as a major source of errors in image quantification and diagnosis. Recently, as dynamic PET quantification for myocardial blood flow assessment has entered clinical practice, similar questions have arisen on the impact of motion on final blood flow values. RECENT

findingsWhile preliminary investigations have underlined the potential impact of these motions on MBF quantification, their correction on dynamic acquisition remains challenging and limited to research studies. Gross patient's body movements occur in a consistent number of cases, particularly during stress acquisition, typically involving a limited number of image frames. If undetected, these movements can lead to great differences in flow values and consequently misdiagnosis. Quality control routines can be applied to automatically inspect the shape of time activity curves and to help identify motion artifacts. Cyclic cardiac and respiratory motion may have a considerable impact on final flow values. Correction of gross body motion represents a priority in the context of optimizing absolute flow clinical routine utilization and protocol standardization.

Indexed as

MyocardiumArtifactsBlood Flow VelocityCoronary CirculationHumansImage Processing, Computer-AssistedMyocardial Perfusion ImagingRadiopharmaceuticalsReproducibility of ResultsRadiopharmaceuticalsBody motion artifactsCardiac and respiratory artifactsCardiac PETMBF quantification

Identifiers

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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.