Literature DB >> 31361311

Impact of apical foreshortening on deformation measurements: a report from the EACVI-ASE Strain Standardization Task Force.

Serkan Ünlü1, Jürgen Duchenne1, Oana Mirea1, Efstathios D Pagourelias1, Stéphanie Bézy1, Marta Cvijic1, Ahmed Salem Beela1, James D Thomas2, Luigi P Badano3, Jens-Uwe Voigt1.   

Abstract

AIMS: Foreshortening of apical views is a common problem in echocardiography. It results in an abnormally thick false apex and a shortened left ventricular (LV) long axis. We sought to evaluate the impact of foreshortened (FS) on LV ejection fraction (LVEF) and layer-specific 2D speckle tracking based segmental (S) and global (G) longitudinal strain (LS) measurements. METHODS AND
RESULTS: We examined 72 participants using a GE Vivid E9 system. FS apical views were collected from an imaging window one rib-space higher than the optimal images. Ejection fraction as well as layer-specific GLS and SLS measurements were analysed by GE EchoPAC v201 and TomTec Image Arena 4.6 and compared between optimal and FS images. On average, LV long axis was 10% shorter in FS images than in optimal images. FS induced a relative change in LVEF of 3.3% and 6.9% for GE and TomTec, respectively (both, P < 0.001). Endocardial GLS was 9.0% higher with GE and 23.2% with TomTec (P < 0.001). Midwall GLS measurements were less affected (7.8% for GE and 14.1% for TomTec, respectively, both P < 0.001). Segmental strain analysis revealed that the mid-ventricular and apical segments were more affected by foreshortening, and endocardial measurements were more affected than midwall.
CONCLUSION: Optimal image geometry is crucial for accurate LV function assessment. Foreshorhening of apical views has a substantial impact on longitudinal strain measurements, predominantly in the apex and in the endocardial layer. Our data suggest that measuring midwall strain might therefore be the more robust approach for clinical routine use. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2019. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  foreshortening; speckle; strain; tracking

Mesh:

Year:  2020        PMID: 31361311     DOI: 10.1093/ehjci/jez189

Source DB:  PubMed          Journal:  Eur Heart J Cardiovasc Imaging        ISSN: 2047-2404            Impact factor:   6.875


  10 in total

1.  Inter-vendor variability in strain measurements depends on software rather than image characteristics.

Authors:  Serkan Ünlü; Oana Mirea; Stéphanie Bézy; Jürgen Duchenne; Efstathios D Pagourelias; Jan Bogaert; James D Thomas; Luigi P Badano; Jens-Uwe Voigt
Journal:  Int J Cardiovasc Imaging       Date:  2021-01-16       Impact factor: 2.357

2.  Advantage and validation of vendor-independent software for myocardial strain analysis compared to vendor-specific software.

Authors:  Robert Chamberlain; Kenji Shiino; Gregory M Scalia; Surendran Sabapathy; Jonathan Chan
Journal:  Australas J Ultrasound Med       Date:  2020-10-14

3.  Transthoracic Echocardiography: Beginner's Guide with Emphasis on Blind Spots as Identified with CT and MRI.

Authors:  Matthew D Grant; Ryan D Mann; Scott D Kristenson; Richard M Buck; Juan D Mendoza; Jason M Reese; David W Grant; Eric A Roberge
Journal:  Radiographics       Date:  2021-06-11       Impact factor: 6.312

Review 4.  Application of strain echocardiography in valvular heart diseases.

Authors:  Marta Cvijic; Jens-Uwe Voigt
Journal:  Anatol J Cardiol       Date:  2020-04       Impact factor: 1.596

5.  Reliability of left atrial strain reference values: A 3D echocardiographic study.

Authors:  Yosuke Nabeshima; Tetsuji Kitano; Masaaki Takeuchi
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

6.  Left ventricular strain values using 3D speckle-tracking echocardiography in healthy adults aged 20 to 72 years.

Authors:  Ferit Onur Mutluer; Daniel J Bowen; Roderick W J van Grootel; Jolien W Roos-Hesselink; Annemien E Van den Bosch
Journal:  Int J Cardiovasc Imaging       Date:  2020-11-23       Impact factor: 2.357

7.  A strain on the diagnosis.

Authors:  Mohammed Basel Allaw; Nausheen Akhter
Journal:  Eur Heart J Case Rep       Date:  2022-05-03

8.  Detection of left ventricular wall motion abnormalities from volume rendering of 4DCT cardiac angiograms using deep learning.

Authors:  Zhennong Chen; Francisco Contijoch; Gabrielle M Colvert; Ashish Manohar; Andrew M Kahn; Hari K Narayan; Elliot McVeigh
Journal:  Front Cardiovasc Med       Date:  2022-07-28

9.  Echocardiography protocol for early detection of cardiac dysfunction in childhood cancer survivors in the multicenter DCCSS LATER 2 CARD study: Design, feasibility, and reproducibility.

Authors:  Remy Merkx; Jan M Leerink; Elisabeth Lieke A M Feijen; Leontien C M Kremer; Esmée C de Baat; Louise Bellersen; Elvira C van Dalen; Eline van Dulmen-den Broeder; Margriet van der Heiden-van der Loo; Marry M van den Heuvel-Eibrink; Chris L de Korte; Jacqueline Loonen; Marloes Louwerens; Angela H E M Maas; Yigal M Pinto; Cécile M Ronckers; Arco J Teske; Wim J E Tissing; Andrica C H de Vries; Annelies M C Mavinkurve-Groothuis; Helena J H van der Pal; Gert Weijers; Wouter E M Kok; Livia Kapusta
Journal:  Echocardiography       Date:  2021-05-20       Impact factor: 1.724

10.  Time to shape up - assessment and reporting standards for data quality in clinical research using echocardiographic imaging techniques require improvement.

Authors:  Kai O Hensel
Journal:  BMC Cardiovasc Disord       Date:  2019-12-03       Impact factor: 2.298

  10 in total

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