Evidence map›Paper›PMID 23378158›Full record

ArticleThe international journal of cardiovascular imaging2013

Effects of respiratory motion on coronary wall MR imaging: a quantitative study of older adults.

Kai Lin, Donald M Lloyd-Jones, Xiaoming Bi, Ying Liu, Debiao Li, James C Carr

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Black-Blood Contrast in Cardiovascular MRI.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  3. The role of latency period in quality management for free-breathing coronary wall MRI.The international journal of cardiovascular imaging · 2015
    Article
  4. Review
  5. Cardiovascular imaging 2013 in the International Journal of Cardiovascular Imaging.The international journal of cardiovascular imaging · 2014
    Review
  6. The compensation for asynchronous cardiac quiescence in coronary wall MR imaging.The international journal of cardiovascular imaging · 2014
    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

6 authors.

Kai LinDepartment of Radiology, Northwestern University, 737 N Michigan Avenue, Suite 1600, Chicago, IL 60611, USA. kai-lin@northwestern.edu
Donald M Lloyd-Jones
Xiaoming Bi
Ying Liu
Debiao Li
James C Carr

Funding

Chicago Healthy Aging Low Risk MRI Angiography (CHARISMA) StudyR01HL089695 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CARR, JAMES, LLOYD-JONES, DONALD M · 2009 to 2012
$1.8M
NHLBI NIH HHS R01 HL089695NHLBI NIH HHS R01HL089695
6 · The paper itself

Abstract

The aim of the present study is to assess the effects of respiratory motion on the image quality of two-dimensional (2D), free-breathing, black-blood coronary wall magnetic resonance (MR) imaging. This study was compliance with the HIPPA. With the approval of the institution review board, 230 asymptomatic participants, including 164 male patients (72.9 ± 4.4 years) and 66 female patients (72.4 ± 5.1 years), were recruited. Written informed consent was obtained. A 2D navigator (NAV)-gated, black-blood coronary wall MR imaging sequence was run on the left main artery, the left anterior descending artery and the right coronary artery. The drift of the location of the NAV and scan efficiency were compared between good (scored 2 or 3) and poor images (scored 1). Age, body weight, body weight index, heart rate, length of the rest period of cardiac motion, diaphragm excursion and breathing frequency were compared using a t test between the "successful" (having 2 or 3 good images) and "unsuccessful" cases (having 1 or 0 good images). A logistic regression model was applied to identify the contributors to good image quality. The drift of the NAV location and the scan efficiency were higher in the 411 good images compared with the 279 poor images. Minimal drift of the NAV location and low body weight were identified as independent predictors of good images after using a logistic regression model to adjust for multiple physiological and technical factors. The stability of respiratory motion significantly influences the image quality of 2D, free-breathing, black-blood coronary wall MR imaging.

Indexed as

Magnetic Resonance Imaging, CineRespirationAgedAged, 80 and overAge FactorsArtifactsChi-Square DistributionCoronary Artery DiseaseCoronary VesselsFemaleHeart RateHumansLogistic ModelsMalePredictive Value of Tests

Identifiers

PMID23378158
PMCPMC3679310

What OpenQuestion holds

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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.