Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. (21st March 2019)

• Record Type: Journal Article
• Authors: Amzulescu, M S; De Craene, M; Langet, H; Pasquet, A; Vancraeynest, D; Pouleur, A C; Vanoverschelde, J L; Gerber, B L
• Is Part Of: European heart journal. Volume 20:Number 6(2019)
• Page Start: 605
• Page End: 619
• Publication Date: 2019-03-21
• Subjects: strain -- speckle tracking imaging -- feature tracking -- tagging -- echocardiography -- cMR -- review; Cardiovascular system -- Imaging -- Periodicals; Heart -- Imaging -- Periodicals; 616.10754
• DOI: 10.1093/ehjci/jez041
• Languages: English
• ISSNs: 2047-2404

Abstract

Abstract: Myocardial tissue tracking imaging techniques have been developed for a more accurate evaluation of myocardial deformation (i.e. strain), with the potential to overcome the limitations of ejection fraction (EF) and to contribute, incremental to EF, to the diagnosis and prognosis in cardiac diseases. While most of the deformation imaging techniques are based on the similar principles of detecting and tracking specific patterns within an image, there are intra- and inter-imaging modality inconsistencies limiting the wide clinical applicability of strain. In this review, we aimed to describe the particularities of the echocardiographic and cardiac magnetic resonance deformation techniques, in order to understand the discrepancies in strain measurement, focusing on the potential sources of variation: related to the software used to analyse the data, to the different physics of image acquisition and the different principles of 2D vs. 3D approaches. As strain measurements are not interchangeable, it is highly desirable to work with validated strain assessment tools, in order to derive information from evidence-based data. There is, however, a lack of solid validation of the current tissue tracking techniques, as only a few of the commercial deformation imaging softwares have been properly investigated. We have, therefore, addressed in this review the neglected issue of suboptimal validation of tissue tracking techniques, in order to advocate for this matter.