Evidence map›Paper›PMID 31996239›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2020

Cardiovascular magnetic resonance based diagnosis of left ventricular non-compaction cardiomyopathy: impact of cine bSSFP strain analysis.

John G Dreisbach, Shobhit Mathur, Christian P Houbois, Erwin Oechslin, Heather Ross, Kate Hanneman, Bernd J Wintersperger

Abstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Certainties and Uncertainties of Cardiac Magnetic Resonance Imaging in Athletes.Journal of cardiovascular development and disease · 2022
    Review
  5. Article
  6. Article
  7. 2021 - State of our JCMR.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

7 authors.

John G DreisbachDepartment of Medical Imaging, Peter Munk Cardiac Centre, University Health Network, Toronto General Hospital, 585 University Avenue, Toronto, M5G 2N5, Ontario, Canada.
Shobhit MathurDepartment of Medical Imaging, Peter Munk Cardiac Centre, University Health Network, Toronto General Hospital, 585 University Avenue, Toronto, M5G 2N5, Ontario, Canada.
Christian P HouboisDepartment of Medical Imaging, Peter Munk Cardiac Centre, University Health Network, Toronto General Hospital, 585 University Avenue, Toronto, M5G 2N5, Ontario, Canada.
Erwin OechslinDivision of Cardiology, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Heather RossDivision of Cardiology, Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
Kate HannemanDepartment of Medical Imaging, Peter Munk Cardiac Centre, University Health Network, Toronto General Hospital, 585 University Avenue, Toronto, M5G 2N5, Ontario, Canada.
Bernd J WinterspergerDepartment of Medical Imaging, Peter Munk Cardiac Centre, University Health Network, Toronto General Hospital, 585 University Avenue, Toronto, M5G 2N5, Ontario, Canada. bernd.wintersperger@uhn.ca.ORCID http://orcid.org/0000-0001-5404-156X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInvestigation of the myocardial strain characteristics of the left ventricular non-compaction (LVNC) phenotype with cardiovascular magnetic resonance (CMR) feature tracking.

methodsCMR cine balanced steady-state free precession data sets of 59 retrospectively identified LVNC phenotype patients (40 years, IQR: 28-50 years; 51% male) and 36 healthy subjects (39 years, IQR: 30-47 years; 44% male) were evaluated for LV volumes, systolic function and mass. Hypertrabeculation in patients and healthy subjects was evaluated against established CMR diagnostic criteria. Global circumferential strain (GCS), global radial strain (GRS) and global longitudinal strain (GLS) were evaluated with feature-tracking software. Subgroup analyses were performed in patients (n = 25) and healthy subjects (n = 34) with normal LV volumetrics, and with healthy subjects (n = 18) meeting at least one LVNC diagnostic criteria.

resultsAll LVNC phenotype patients, as well as a significant proportion of healthy subjects, met morphology-based CMR diagnostic criteria: non-compacted (NC): compacted myocardial diameter ratio > 2.3 (100% vs. 19.4%), NC mass > 20% (100% vs. 44.4%) and > 25% (100% vs. 13.9%), and NC mass indexed to body surface area > 15 g/m

conclusionsLVNC phenotype patients demonstrate impaired strain by CMR feature tracking, also present on comparison of subjects with normal LV volumetrics meeting diagnostic criteria. The high proportion of healthy subjects meeting morphology-based CMR diagnostic criteria emphasizes the important potential complementary diagnostic value of strain in differentiating LVNC from physiologic hypertrabeculation.

Indexed as

Magnetic Resonance Imaging, CineVentricular Function, LeftAdultDatabases, FactualFemaleHumansImage Interpretation, Computer-AssistedIsolated Noncompaction of the Ventricular MyocardiumMaleMiddle AgedPhenotypePredictive Value of TestsRetrospective StudiesCardiovascular magnetic resonanceFeature trackingIsolated noncompaction of the ventricular myocardiumMyocardial strainVentricular dysfunction

Identifiers

PMID31996239
PMCPMC6990516

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.