Literature DB >> 26578468

Comparison of left ventricular manual versus automated derived longitudinal strain: implications for clinical practice and research.

Yukari Kobayashi1,2, Miyuki Ariyama3,4, Yuhei Kobayashi3,4, Genevieve Giraldeau3,4, Dominik Fleischman3,4, Mirta Kozelj3,4, Bojan Vrtovec3,4, Euan Ashley3,4, Tatiana Kuznetsova4,5, Ingela Schnittger3,4, David Liang3,4, Francois Haddad3,4.   

Abstract

Systolic global longitudinal strain (GLS) is emerging as a useful metric of ventricular function in heart failure and usually assessed using post-processing software. The purpose of this study was to investigate whether longitudinal strain (LS) derived using manual-tracings of ventricular lengths (manual-LS) can be reliable and time efficient when compared to LS obtained by post-processing software (software-LS). Apical 4-chamber view images were retrospectively examined in 50 healthy controls, 100 patients with dilated cardiomyopathy (DCM), and 100 with hypertrophic cardiomyopathy (HCM). We measured endocardial and mid-wall manual-LS and software-LS, using peak of average regional curve [software-LS(a)] and global ventricular lengths [software-LS(l)] according to definition of Lagragian strain. We compared manual-LS and software-LS by using Bland-Altman plot and coefficient of variation (COV). In addition, test-retest was also performed for further assessment of variability in measurements. While manual-LS was obtained in all subjects, software-LS could be obtained in 238 subjects (95%). The time spent for obtaining manual-LS was significantly shorter than for the software-LS (94 ± 39 s vs. 141 ± 79 s, P < 0.001). Overall, manual-LS had an excellent correlation with both software-LS (a) (R(2) = 0.93, P < 0.001) and software-LS(l) (R(2) = 0.84, P < 0.001). The bias (95%CI) between endocardial manual-LS and software-LS(a) was 0.4% [-2.8, 3.6%] in absolute and 3.5% [-17.0, 24.0%] in relative difference while it was 0.4% [-2.5, 3.3%] and 3.4% [-16.2, 23.1%], respectively with software-LS(l). Mid-wall manual-LS and mid-wall software-LS(a) also had good agreement [a bias (95% CI) for absolute value of 0.1% [-2.1, 2.5%] in HCM, and 0.2% [-2.2, 2.6%] in controls]. The COV for manual and software derived LS were below 6%. Test-retest showed good variability for both methods (COVs were 5.8 and 4.7 for endocardial and mid-wall manual-LS, and 4.6 and 4.9 for endocardial and mid-wall software-LS(a), respectively. Manual-LS appears to be as reproducible as software-LS; this may be of value especially when global strain is the metric of interest.

Entities:  

Keywords:  Dilated cardiomyopathy; Echocardiography; Global longitudinal strain; Heart failure; Hypertrophic cardiomyopathy; Post-processing software; Strain imaging; Vendor-independent; Ventricular function

Mesh:

Year:  2015        PMID: 26578468     DOI: 10.1007/s10554-015-0804-x

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  21 in total

1.  Strain imaging in echocardiography: converging on congruence?

Authors:  James D Thomas
Journal:  J Am Soc Echocardiogr       Date:  2015-06       Impact factor: 5.251

2.  Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging.

Authors:  Jens-Uwe Voigt; Gianni Pedrizzetti; Peter Lysyansky; Tom H Marwick; Hélène Houle; Rolf Baumann; Stefano Pedri; Yasuhiro Ito; Yasuhiko Abe; Stephen Metz; Joo Hyun Song; Jamie Hamilton; Partho P Sengupta; Theodore J Kolias; Jan d'Hooge; Gerard P Aurigemma; James D Thomas; Luigi Paolo Badano
Journal:  J Am Soc Echocardiogr       Date:  2015-02       Impact factor: 5.251

3.  Improvement in Strain Concordance between Two Major Vendors after the Strain Standardization Initiative.

Authors:  Hong Yang; Thomas H Marwick; Nobuaki Fukuda; Hiroki Oe; Makoto Saito; James D Thomas; Kazuaki Negishi
Journal:  J Am Soc Echocardiogr       Date:  2015-01-27       Impact factor: 5.251

Review 4.  Current state of three-dimensional myocardial strain estimation using echocardiography.

Authors:  Ruta Jasaityte; Brecht Heyde; Jan D'hooge
Journal:  J Am Soc Echocardiogr       Date:  2012-11-11       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.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  Usefulness of global left ventricular longitudinal strain for risk stratification in low ejection fraction, low-gradient aortic stenosis: results from the multicenter True or Pseudo-Severe Aortic Stenosis study.

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Journal:  Circ Cardiovasc Imaging       Date:  2015-03       Impact factor: 7.792

8.  Evaluation of midwall systolic function in left ventricular hypertrophy: a comparison of 3-dimensional versus 2-dimensional echocardiographic indices.

Authors:  Hae Ok Jung; Florence H Sheehan; Edward L Bolson; Mary-Pierre Waiss; Catherine M Otto
Journal:  J Am Soc Echocardiogr       Date:  2006-06       Impact factor: 5.251

9.  Is echo-determined left ventricular geometry associated with ventricular filling and midwall shortening in hypertensive ventricular hypertrophy?

Authors:  Pasquale Palmiero; Maria Maiello; Navin C Nanda
Journal:  Echocardiography       Date:  2008-01       Impact factor: 1.724

10.  Midwall ejection fraction for assessing systolic performance of the hypertrophic left ventricle.

Authors:  Hisao Yoshikawa; Makoto Suzuki; Go Hashimoto; Yukiko Kusunose; Takenori Otsuka; Masato Nakamura; Kaoru Sugi
Journal:  Cardiovasc Ultrasound       Date:  2012-11-20       Impact factor: 2.062

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  11 in total

1.  Cytokines profile of reverse cardiac remodeling following transcatheter aortic valve replacement.

Authors:  Juyong Brian Kim; Yukari Kobayashi; Tatiana Kuznetsova; Kegan J Moneghetti; Daniel A Brenner; Ryan O'Malley; Catherine Dao; Joseph C Wu; Michael Fischbein; D Craig Miller; Alan C Yeung; David Liang; Francois Haddad; William F Fearon
Journal:  Int J Cardiol       Date:  2018-11-01       Impact factor: 4.164

2.  Dynamic changes in aortic impedance after transcatheter aortic valve replacement and its impact on exploratory outcome.

Authors:  Yukari Kobayashi; Juyong B Kim; Kegan J Moneghetti; Yuhei Kobayashi; Ran Zhang; Daniel A Brenner; Ryan O'Malley; Ingela Schnittger; Michael Fischbein; D Craig Miller; Alan C Yeung; David Liang; Francois Haddad; William F Fearon
Journal:  Int J Cardiovasc Imaging       Date:  2017-05-17       Impact factor: 2.357

3.  Incremental value of diastolic stress test in identifying subclinical heart failure in patients with diabetes mellitus.

Authors:  Tomoko Nishi; Yukari Kobayashi; Jeffrey W Christle; Nicholas Cauwenberghs; Kalyani Boralkar; Kegan Moneghetti; Myriam Amsallem; Kristofer Hedman; Kévin Contrepois; Jonathan Myers; Kenneth W Mahaffey; Ingela Schnittger; Tatiana Kuznetsova; Latha Palaniappan; Francois Haddad
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2020-08-01       Impact factor: 6.875

4.  GDF-15 (Growth Differentiation Factor 15) Is Associated With Lack of Ventricular Recovery and Mortality After Transcatheter Aortic Valve Replacement.

Authors:  Juyong Brian Kim; Yukari Kobayashi; Kegan J Moneghetti; Daniel A Brenner; Ryan O'Malley; Ingela Schnittger; Joseph C Wu; Gillian Murtagh; Agim Beshiri; Michael Fischbein; D Craig Miller; David Liang; Alan C Yeung; Francois Haddad; William F Fearon
Journal:  Circ Cardiovasc Interv       Date:  2017-12       Impact factor: 6.546

5.  Right Heart End-Systolic Remodeling Index Strongly Predicts Outcomes in Pulmonary Arterial Hypertension: Comparison With Validated Models.

Authors:  Myriam Amsallem; Andrew J Sweatt; Marie C Aymami; Tatiana Kuznetsova; Mona Selej; HongQuan Lu; Olaf Mercier; Elie Fadel; Ingela Schnittger; Michael V McConnell; Marlene Rabinovitch; Roham T Zamanian; Francois Haddad
Journal:  Circ Cardiovasc Imaging       Date:  2017-06       Impact factor: 7.792

6.  Left ventricular global longitudinal strain calculated from manually traced endocardial border lengths utilizing the images for routine ejection fraction measurement by biplane method of disks.

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Journal:  J Med Ultrason (2001)       Date:  2019-09-13       Impact factor: 1.314

Review 7.  Right heart imaging in patients with heart failure: a tale of two ventricles.

Authors:  Myriam Amsallem; Tatiana Kuznetsova; Kate Hanneman; Andre Denault; François Haddad
Journal:  Curr Opin Cardiol       Date:  2016-09       Impact factor: 2.161

8.  Challenging the complementarity of different metrics of left atrial function: insight from a cardiomyopathy-based study.

Authors:  Yukari Kobayashi; Kegan J Moneghetti; Kalyani Boralkar; Myriam Amsallem; Mirela Tuzovic; David Liang; Phillip C Yang; Sanjiv Narayan; Tatiana Kuznetsova; Joseph C Wu; Ingela Schnittger; Francois Haddad
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2017-10-01       Impact factor: 6.875

9.  Peripheral Oxygen Extraction and Exercise Limitation in Asymptomatic Patients with Diabetes Mellitus.

Authors:  Yukari Kobayashi; Jeffrey W Christle; Kévin Contrepois; Tomoko Nishi; Kegan Moneghetti; Nicholas Cauwenberghs; Jonathan Myers; Tatiana Kuznetsova; Latha Palaniappan; Francois Haddad
Journal:  Am J Cardiol       Date:  2021-03-20       Impact factor: 3.133

10.  Approaching Higher Dimension Imaging Data Using Cluster-Based Hierarchical Modeling in Patients with Heart Failure Preserved Ejection Fraction.

Authors:  Yukari Kobayashi; Maxime Tremblay-Gravel; Kalyani A Boralkar; Xiao Li; Tomoko Nishi; Myriam Amsallem; Kegan J Moneghetti; Sara Bouajila; Mona Selej; Mehmet O Ozen; Utkan Demirci; Euan Ashley; Matthew Wheeler; Kirk U Knowlton; Tatiana Kouznetsova; Francois Haddad
Journal:  Sci Rep       Date:  2019-07-18       Impact factor: 4.379

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