Evidence map›Paper›PMID 26602203›Full record

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

T1 at 1.5T and 3T compared with conventional T2* at 1.5T for cardiac siderosis.

Mohammed H Alam, Dominique Auger, Gillian C Smith, Taigang He, Vassilis Vassiliou, A John Baksi, Rick Wage, Peter Drivas, Yanqiu Feng, David N Firmin and 1 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 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Native TJournal of magnetic resonance imaging : JMRI · 2018
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. The role of imaging in the selection of patients for HFpEF therapy.European heart journal. Cardiovascular Imaging · 2023
    Review
  7. Review
  8. Quantitative susceptibility mapping (QSM) of the cardiovascular system: challenges and perspectives.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  9. Article
  10. Cardiac TJournal of magnetic resonance imaging : JMRI · 2020
    Review
  11. Article
  12. Article
  13. 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
  14. Article
  15. THeart failure reviews · 2017
    Review
  16. Review of Journal of Cardiovascular Magnetic Resonance 2015.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Review
  17. Magnetic resonance imaging phantoms for quality-control of myocardial T1 and ECV mapping: specific formulation, long-term stability and variation with heart rate and temperature.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Article
  18. Comparison of 3 T and 1.5 T for T2* magnetic resonance of tissue iron.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2016
    Article
  19. T1 mapping and speckle tracking echocardiography for the assessment of early mechanical dysfunction in transfusion-dependent β-thalassemia with normal T2.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

11 authors.

Mohammed H AlamNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. M.Alam@rbht.nhs.uk.
Dominique AugerNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. D.Auger@rbht.nhs.uk.
Gillian C SmithNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. G.Smith@rbht.nhs.uk.
Taigang HeSt George's, University of London, London, UK. tgheuk@gmail.com.
Vassilis VassiliouNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. V.Vassiliou@rbht.nhs.uk.
A John BaksiNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. J.Baksi@rbht.nhs.uk.
Rick WageNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. R.Wage@rbht.nhs.uk.
Peter DrivasNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. Peter_Drivas@live.co.uk.
Yanqiu FengSchool of Biomedical Engineering, Southern Medical University, Guangzhou, China. chenwf@fimmu.com.
David N FirminNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. D.Firmin@rbht.nhs.uk.
Dudley J PennellNIHR Cardiovascular Biomedical Research Unit, Royal Brompton Hospital, Sydney Street, London, SW3 6NP, UK. DJ.Pennell@rbht.nhs.uk.

Funding

British Heart Foundation PG/09/074/27961Department of Health
6 · The paper itself

Abstract

backgroundMyocardial black blood (BB) T2* relaxometry at 1.5T provides robust, reproducible and calibrated non-invasive assessment of cardiac iron burden. In vitro data has shown that like T2*, novel native Modified Look-Locker Inversion recovery (MOLLI) T1 shortens with increasing tissue iron. The relative merits of T1 and T2* are largely unexplored. We compared the established 1.5T BB T2* technique against native T1 values at 1.5T and 3T in iron overload patients and in normal volunteers.

methodsA total of 73 subjects (42 male) were recruited, comprising 20 healthy volunteers (controls) and 53 patients (thalassemia major 22, sickle cell disease 9, hereditary hemochromatosis 9, other iron overload conditions 13). Single mid-ventricular short axis slices were acquired for BB T2* at 1.5T and MOLLI T1 quantification at 1.5T and 3T.

resultsIn healthy volunteers, median T1 was 1014 ms (full range 939-1059 ms) at 1.5T and modestly increased to 1165ms (full range 1056-1224 ms) at 3T. All patients with significant cardiac iron overload (1.5T T2* values <20 ms) had T1 values <939 ms at 1.5T, and <1056 ms at 3T. Associations between T2* and T1 were found to be moderate with y =377 · x(0.282) at 1.5T (R(2) = 0.717), and y =406 · x(0.294) at 3T (R(2) = 0.715). Measures of reproducibility of T1 appeared superior to T2*.

conclusionsT1 mapping at 1.5T and at 3T can identify individuals with significant iron loading as defined by the current gold standard T2* at 1.5T. However, there is significant scatter between results which may reflect measurement error, but it is also possible that T1 interacts with T2*, or is differentially sensitive to aspects of iron chemistry or other biology. Hurdles to clinical implementation of T1 include the lack of calibration against human myocardial iron concentration, no demonstrated relation to cardiac outcomes, and variation in absolute T1 values between scanners, which makes inter-centre comparisons difficult. The relative merits of T1 at 3T versus T2* at 3T require further consideration.

Indexed as

AdultBiomarkersCardiomyopathiesCase-Control StudiesFemaleHumansImage Processing, Computer-AssistedIronMagnetic Resonance ImagingMaleMiddle AgedMyocardiumPredictive Value of TestsPrognosisProspective StudiesReproducibility of ResultsBiomarkersIron

Identifiers

PMID26602203
PMCPMC4659152

What OpenQuestion holds

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LicenceCC BY
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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.