Iranian Congress of Radiology

Iranian Congress of Radiology

FEATURE TRACKING TECHNIQUE AND QUANTIFYING BIVENTRICULAR STRAIN PATTERN IN EBSTEIN’S ANOMALY; A CASE-CONTROL STUDY IN IRAN

Authors
Mohammad Ali Mohammadi Vajari
Marzie Motevalli
Ali Allameh
Ghazale Tefagh
Hamidreza Pooraliakbar
Parham Rabiei
Sanaz Asadian
Kasra Kiani Amin
Golnaz Houshmand
Department of Radiology, Iran University of Medical Sciences
10.22034/icrj.2022.173645
Abstract
Ebstein’s Anomaly (EA) is a congenital heart anomaly. Its main feature is abnormal function of tricuspid valve. It remains a relatively ignored abnormality. Hence, new approaches should be developed for determining degree of the lesion. There are several ways to study nature of tissues using Magnetic Resonance Imaging (MRI). One of the most accurate methods is strain calculation using Feature Tracking Technique. Since this method is novel in cardiac MRI (CMR), the aim of this study is determining and evaluating Feature Tracking technique in EA.
Methods:
18 EA patients and 15 healthy controls were enrolled in this case-control study conducted in Shahid Rajaei hospital, Tehran, Iran in 2018-2019. Radial, longitudinal, and circumferential strain of left and right ventricules were determined using CMR 1.5 Tesla Siemens Systems. Strains of patients and control were determined by semi-automatic commercially available software of Circle cardiovascular imaging (CVi42). data were analyzed with SPSS, 22.
Results:
The results showed a significantly lower Radial LV strain of EA patients compared with control group (P =0.002). Also, global longitudinal strain of RV in EA patients was significantly lower than controls (P = 0.001). There were no significant differences between other strain components of RV and LV between patients and controls.
Conclusion:
Among different ways for detecting cardiac function in EA, CMR with different strain patterns of ventricles could be a promising method. Most implicated strain markers in our study were radial LV strain and longitudinal RV strain which may be the best variants for early diagnosis of heart function.
Iranian Congress of Radiology
Volume 37, Issue 1
Summer 2022
Pages 3-3

  • Receive Date 29 June 2023