Literature DB >> 33778498

Reproducibility and Agreement of Tissue Tracking versus Feature Tracking for Strain Measurement on Cardiac MR Images in Patients with Repaired Tetralogy of Fallot.

Jimmy C Lu1, Sowmya Balasubramanian1, Sunkyung Yu1, Maryam Ghadimi Mahani1, Prachi P Agarwal1, Adam L Dorfman1.   

Abstract

PURPOSE: To evaluate differences in strain measurements by using tissue-tracking (TT) and feature-tracking (FT) software on cardiovascular MR images in patients with repaired tetralogy of Fallot (TOF).
MATERIALS AND METHODS: In this retrospective cross-sectional study of 25 patients with repaired TOF (median age, 33.1 years; interquartile range, 25.3-38.3 years) from 2008 through 2014, left ventricular (LV) and right ventricular (RV) global circumferential and longitudinal strain were measured from cardiac MR images by using TT and FT software. Time to process was measured from opening the study to acceptance of contours. Intra- and interobserver reproducibility were evaluated with Bland-Altman analysis, coefficient of variation, and intraclass correlation coefficient.
RESULTS: Time to process was slightly longer for TT (10.2 minutes ± 3.1 [standard deviation] vs 9.0 minutes ± 1.7, P = .04). Fewer patients required contour revision with TT than with FT. Both TT and FT measurements had similar moderate-to-strong correlations with LV and RV ejection fractions; correlation of RV longitudinal strain with RV ejection fraction did not reach significance by using either method. With the exception of LV circumferential strain, strain measurements were lower with FT relative to TT. Intra- and interobserver reproducibility were lower with FT for longitudinal strain measurements.
CONCLUSION: TT and FT have systematic differences in strain values and reproducibility, particularly for longitudinal strain. Software-specific normative data are necessary, as are studies to evaluate correlation with clinical outcomes for each modality.© RSNA, 2019. 2019 by the Radiological Society of North America, Inc.

Entities:  

Year:  2019        PMID: 33778498      PMCID: PMC7977742          DOI: 10.1148/ryct.2019180005

Source DB:  PubMed          Journal:  Radiol Cardiothorac Imaging        ISSN: 2638-6135


  30 in total

1.  Assessment of myocardial deformation in children using Digital Imaging and Communications in Medicine (DICOM) data and vendor independent speckle tracking software.

Authors:  Laurens P Koopman; Cameron Slorach; Cedric Manlhiot; Brian W McCrindle; Edgar T Jaeggi; Luc Mertens; Mark K Friedberg
Journal:  J Am Soc Echocardiogr       Date:  2010-11-20       Impact factor: 5.251

2.  Relation of biventricular strain and dyssynchrony in repaired tetralogy of fallot measured by cardiac magnetic resonance to death and sustained ventricular tachycardia.

Authors:  Thomas J Moon; Nadine Choueiter; Tal Geva; Anne Marie Valente; Kimberlee Gauvreau; David M Harrild
Journal:  Am J Cardiol       Date:  2014-12-18       Impact factor: 2.778

3.  The Impact of the Right Ventricular Outflow Tract Patch on Right Ventricular Strain in Tetralogy of Fallot: A Comparison with Valvar Pulmonary Stenosis Utilizing Cardiac Magnetic Resonance.

Authors:  Shafkat Anwar; Matthew A Harris; Kevin K Whitehead; Marc S Keller; Elizabeth Goldmuntz; Mark A Fogel; Laura Mercer-Rosa
Journal:  Pediatr Cardiol       Date:  2017-01-31       Impact factor: 1.655

4.  Echocardiographic measures of myocardial deformation by speckle-tracking technologies: the need for standardization?

Authors:  Matthew R Nelson; R Todd Hurst; Serageldin F Raslan; Stephen Cha; Susan Wilansky; Steven J Lester
Journal:  J Am Soc Echocardiogr       Date:  2012-09-12       Impact factor: 5.251

5.  Variability of global left ventricular deformation analysis using vendor dependent and independent two-dimensional speckle-tracking software in adults.

Authors:  Niels Risum; Sophia Ali; Niels T Olsen; Christian Jons; Michel G Khouri; Trine K Lauridsen; Zainab Samad; Eric J Velazquez; Peter Sogaard; Joseph Kisslo
Journal:  J Am Soc Echocardiogr       Date:  2012-09-12       Impact factor: 5.251

6.  Usefulness of right ventricular free wall strain to predict quality of life in "repaired" tetralogy of Fallot.

Authors:  Jimmy C Lu; Maryam Ghadimi Mahani; Prachi P Agarwal; Timothy B Cotts; Adam L Dorfman
Journal:  Am J Cardiol       Date:  2013-03-13       Impact factor: 2.778

7.  Assessment of ventricular function in adults with repaired Tetralogy of Fallot using myocardial deformation imaging.

Authors:  Myrthe E Menting; Annemien E van den Bosch; Jackie S McGhie; Jannet A Eindhoven; Judith A A E Cuypers; Maarten Witsenburg; Marcel L Geleijnse; Willem A Helbing; Jolien W Roos-Hesselink
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-07-29       Impact factor: 6.875

8.  Quantitative analysis of endocardial and epicardial left ventricular myocardial deformation-comparison of strain-encoded cardiac magnetic resonance imaging with two-dimensional speckle-tracking echocardiography.

Authors:  Ertunc Altiok; Mirja Neizel; Sonja Tiemann; Vitali Krass; Kathrin Kuhr; Michael Becker; Christian Zwicker; Ralf Koos; Walter Lehmacher; Malte Kelm; Nikolaus Marx; Rainer Hoffmann
Journal:  J Am Soc Echocardiogr       Date:  2012-08-28       Impact factor: 5.251

9.  Contemporary predictors of death and sustained ventricular tachycardia in patients with repaired tetralogy of Fallot enrolled in the INDICATOR cohort.

Authors:  Anne Marie Valente; Kimberlee Gauvreau; Gabriele Egidy Assenza; Sonya V Babu-Narayan; Jenna Schreier; Michael A Gatzoulis; Maarten Groenink; Ryo Inuzuka; Philip J Kilner; Zeliha Koyak; Michael J Landzberg; Barbara Mulder; Andrew J Powell; Rachel Wald; Tal Geva
Journal:  Heart       Date:  2013-10-31       Impact factor: 5.994

10.  Comparison of left ventricular strains and torsion derived from feature tracking and DENSE CMR.

Authors:  Gregory J Wehner; Linyuan Jing; Christopher M Haggerty; Jonathan D Suever; Jing Chen; Sean M Hamlet; Jared A Feindt; W Dimitri Mojsejenko; Mark A Fogel; Brandon K Fornwalt
Journal:  J Cardiovasc Magn Reson       Date:  2018-09-13       Impact factor: 5.364

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