Evidence map›Paper›PMID 25616857›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2015

Free-breathing T2* mapping using respiratory motion corrected averaging.

Peter Kellman, Hui Xue, Bruce S Spottiswoode, Christopher M Sandino, Michael S Hansen, Amna Abdel-Gadir, Thomas A Treibel, Stefania Rosmini, Christine Mancini, W Patricia Bandettini and 5 more

Abstract readComparative Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Cardiac Phase-Resolved TBiomedicines · 2025
    Article
  4. Free-breathing MRI techniques for fat and RMagma (New York, N.Y.) · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Evaluation of Hepatic Iron Overload Using a Contemporary 0.55 T MRI System.Journal of magnetic resonance imaging : JMRI · 2022
    Article
  9. Review
  10. Free-breathing simultaneousMagnetic resonance in medicine · 2021
    Article
  11. Article
  12. Cardiac TJournal of magnetic resonance imaging : JMRI · 2020
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review of Journal of Cardiovascular Magnetic Resonance (JCMR) 2015-2016 and transition of the JCMR office to Boston.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Review
  19. Diagnostic performance of TJournal of magnetic resonance imaging : JMRI · 2017
    Article
  20. 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

15 authors.

Peter KellmanNational Heart, Lung, and Blood Institute, National Institutes of Health, DHHS, 10 Center Drive MSC-1061, Bethesda 20892, MD, USA. kellman@nih.gov.
Hui Xue
Bruce S Spottiswoode
Christopher M Sandino
Michael S Hansen
Amna Abdel-Gadir
Thomas A Treibel
Stefania Rosmini
Christine Mancini
W Patricia Bandettini
Laura-Ann McGill
Peter Gatehouse
James C Moon
Dudley J Pennell
Andrew E Arai

Funding

Technical Development of Diagnostic Cardiovascular MRIZIAHL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW · 2009 to 2020
$25.3M
MRI Evaluation Of Acute Cardiovascular DiseaseZ01HL004607 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ARAI, ANDREW E · 1999 to 2008
$8.0M
British Heart Foundation FS/10/40/28260British Heart Foundation FS/12/56/29723Department of Health DRF-2013-06-102Intramural NIH HHS Z01 HL004607NCI NIH HHS HL004607-14CPB
6 · The paper itself

Abstract

backgroundPixel-wise T2* maps based on breath-held segmented image acquisition are prone to ghost artifacts in instances of poor breath-holding or cardiac arrhythmia. Single shot imaging is inherently immune to ghost type artifacts. We propose a free-breathing method based on respiratory motion corrected single shot imaging with averaging to improve the signal to noise ratio.

methodsImages were acquired using a multi-echo gradient recalled echo sequence and T2* maps were calculated at each pixel by exponential fitting. For 40 subjects (2 cohorts), two acquisition protocols were compared: (1) a breath-held, segmented acquisition, and (2) a free-breathing, single-shot multiple repetition respiratory motion corrected average. T2* measurements in the interventricular septum and liver were compared for the 2-methods in all studies with diagnostic image quality.

resultsIn cohort 1 (N = 28) with age 51.4 ± 17.6 (m ± SD) including 1 subject with severe myocardial iron overload, there were 8 non-diagnostic breath-held studies due to poor image quality resulting from ghost artifacts caused by respiratory motion or arrhythmias. In cohort 2 (N = 12) with age 30.9 ± 7.5 (m ± SD), including 7 subjects with severe myocardial iron overload and 4 subjects with mild iron overload, a single subject was unable to breath-hold. Free-breathing motion corrected T2* maps were of diagnostic quality in all 40 subjects. T2* measurements were in excellent agreement (In cohort #1, T2*FB = 0.95 x T2*BH + 0.41, r2 = 0.93, N = 39 measurements, and in cohort #2, T2*FB = 0.98 x T2*BH + 0.05, r2 > 0.99, N = 22 measurements).

conclusionsA free-breathing approach to T2* mapping is demonstrated to produce consistently good quality maps in the presence of respiratory motion and arrhythmias.

Indexed as

Magnetic Resonance Imaging, CineModels, CardiovascularRespirationAdultArtifactsBreath HoldingCohort StudiesHeart SeptumHumansLiverMiddle AgedMyocardium

Identifiers

PMID25616857
PMCPMC4305251

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.