Evidence map›Paper›PMID 35919073›Full record

ArticleIranian journal of medical sciences2022

The Use of Feature Tracking Technique for the Quantification of Ventricular Strain Pattern in Patients with Ebstein's Anomaly: A Case-Control Study.

Marzieh Motevalli, Ali Allameh, Ghazale Tefagh, Hamidreza Pouraliakbar, Parham Rabiei, Sanaz Asadian, Kasra Kiani Amin, Golnaz Houshmand, Mohammad-Ali Mohammadi-Vajari

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Article in Iranian journal of medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Marzieh MotevalliRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ali AllamehDepartment of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ghazale TefaghDepartment of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Imam Khomeini Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza PouraliakbarRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Parham RabieiRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Sanaz AsadianRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Kasra Kiani AminRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Golnaz HoushmandRajaie Cardiovascular, Medical and Research Center, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mohammad-Ali Mohammadi-VajariDepartment of Radiology, Hazrat Rasoul Akram Hospital, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ebstein's anomaly (EA) is a congenital heart disorder characterized by abnormal function of the tricuspid valve. There are several ways to study tissue composition using magnetic resonance imaging (MRI). One of the most accurate methods is strain calculation using the feature tracking (FT) technique. Due to the novelty of the FT technique in cardiac magnetic resonance (CMR) imaging, there is a lack of comprehensive guidelines to conduct FT-MRI and to present a quantitative report. The current study is aimed to evaluate the FT technique in EA patients and to compare the obtained numerical values with those of healthy individuals. Methods: A total of 33 individuals were enrolled in a study conducted in 2018-2019 at Shahid Rajaei Hospital, Tehran, Iran. Radial, longitudinal, and circumferential strain patterns of the left and right ventricles were determined in both the patients and the controls using the FT technique. Data were analyzed using SPSS software, version 22.0. Results: The results showed a significantly lower left ventricular (LV) radial strain in EA patients compared to the control group (P=0.002). In addition, the right ventricular (RV) global longitudinal strain (GLS) in EA patients was significantly lower than in the controls (P=0.001). Other parameters (LV global longitudinal strain, RV radial strain, LV circumferential strain, and RV circumferential strain) did not differ significantly between the two groups. Conclusion: Determination of strain patterns using cardiac MRI is a promising method for the diagnosis of EA. Markers such as LV longitudinal strain and RV-GLS are the most suitable parameters for the early diagnosis of heart dysfunction.

Indexed as

Ebstein AnomalyCase-Control StudiesHeart VentriclesHumansIranMagnetic Resonance Imaging, CineVentricular Function, LeftCardiac imaging techniquesCardiovascular abnormalitiesDiagnostic imagingEbstein anomalyMagnetic resonance imaging

Identifiers

PMID35919073
PMCPMC9339115

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