Evidence map›Paper›PMID 37129791›Full record

ArticleJournal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing2023

Correlation of myocardial strain by CMR-feature tracking with substrate abnormalities detected by electro-anatomical mapping in patients with nonischemic cardiomyopathy.

Deep Chandh Raja, Indira Samarawickrema, Jaganaathan Raman Srinivasan, SaratKrishna Menon, Souvik Kumar Das, Sanjiv Jain, Lukah Q Tuan, Benoit Desjardins, Francis E Marchlinski, Walter P Abhayaratna and 2 more

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In one paragraph

Article in Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Contemporary Trends in Pulsed Field Ablation for Cardiac Arrhythmias.Journal of cardiovascular development and disease · 2024
    Review
  2. Review
  3. Characteristics of the phenotype of mixed cardiomyopathy in patients with implantable cardioverter-defibrillators.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024
    Article
  4. 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

12 authors.

Deep Chandh RajaANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia.
Indira SamarawickremaUniversity of Canberra, Canberra, Australia.
Jaganaathan Raman SrinivasanCanberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia.
SaratKrishna MenonUniversity of Newcastle, Newcastle, NSW, Australia.
Souvik Kumar DasCanberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia.
Sanjiv JainCanberra Health Services, 2 Garran place, Garran, Canberra, 2605, Australia.
Lukah Q TuanANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia.
Benoit DesjardinsElectrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, USA.
Francis E MarchlinskiElectrophysiology Section, Hospital of the University of Pennsylvania, Philadelphia, USA.
Walter P AbhayaratnaANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia.
Prashanthan SandersCenter for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, Australia.
Rajeev K PathakANU School of Medicine and Psychology, Australian National University, 54 Mills Road, Acton, 2601, ACT, Australia. rajeev.pathak@canberraheartrhythm.com.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLate gadolinium enhancement (LGE) detected by cardiac MRI (CMR) has low correlation with low voltage zones (LVZs) detected by electroanatomical mapping (EAM). We aim to study correlation of myocardial strain by CMR- Feature Tracking (FT) alongside LGE with LVZs detected by EAM.

methodsNineteen consecutive CMRs of patients with EAM were analyzed offline by CMR-FT. Peak value of circumferential strain (CS), longitudinal strain (LS), and LGE was measured in each segment of the left ventricle (17-segment model). The percentage of myocardial segments with CS and LS > -17% was determined. Percentage area of LGE-scar was calculated. Global and segment-wise bipolar and unipolar voltage was collected. Percentage area of bipolar LVZ (<1.5 mV) and unipolar LVZ (<8.3 mV) was calculated.

resultsMean age was 62±11 years. Mean LVEF was 37±13%. Mean global CS was -11.8±5%. Mean global LS was -11.2±4%. LGE-scar was noted in 74% of the patients. Mean percentage area of LGE-scar was 5%. There was significant correlation between percentage abnormality detected by LS with percentage bipolar LVZ (r = +0.5, p = 0.03) and combined percentage CS+LS abnormality with percentage unipolar LVZ (r = +0.5, p = 0.02). Per-unit increase in CS increased the percentage area of unipolar LVZ by 2.09 (p = 0.07) and per-unit increase in LS increased the percentage area of unipolar LVZ by 2.49 (p = 0.06). The concordance rates between CS and LS to localize segments with bipolar/unipolar LVZ were 79% and 95% compared to 63% with LGE.

conclusionsMyocardial strain detected by CMR-FT has a better correlation with electrical low voltage zones than the conventional LGE.

Indexed as

CardiomyopathiesContrast MediaAgedCicatrixGadoliniumHumansMagnetic Resonance Imaging, CineMiddle AgedContrast MediaGadoliniumCardiac magnetic resonance imagingCircumferential strainElectroanatomical mappingLongitudinal strainLow voltage zoneMyocardial strain

Identifiers

PMID37129791
PMCPMC10694091

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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.