Open Access
Thorac Cardiovasc Surg Rep 2016; 05(01): 77-80
DOI: 10.1055/s-0036-1571815
Case Report: Vascular
Georg Thieme Verlag KG Stuttgart · New York

Detailed Measurement of Wall Strain with 3D Speckle Tracking in the Aortic Root: A Case of Bionic Support for Clinical Decision Making

Sebastian Vogt
1   Department of Heart Surgery, Philipps University, Marburg, Germany
2   Biochemical Pharmacological Center, Cardiovascular Res Lab, Philipps University, Marburg, Germany
,
Konstantinos Karatolios
3   Department of Cardiology, Universitätsklinikum Marburg und Gießen GmbH, Marburg, Germany
,
Andreas Wittek
4   Institute for Cell Biology and Neuroscience, Goethe University, Frankfurt (Main), Germany
,
Christopher Blasé
4   Institute for Cell Biology and Neuroscience, Goethe University, Frankfurt (Main), Germany
,
Anette Ramaswamy
5   Institute for Pathology, Philipps University, Marburg, Germany
,
Nikolas Mirow
6   Department of Heart Surgery, Universitätsklinikum Marburg und Gießen GmbH, Marburg, Germany
,
Rainer Moosdorf
6   Department of Heart Surgery, Universitätsklinikum Marburg und Gießen GmbH, Marburg, Germany
› Institutsangaben
Weitere Informationen

Publikationsverlauf

24. September 2015

26. Dezember 2015

Publikationsdatum:
04. Februar 2016 (online)

Preview

Abstract

Three-dimensional (3D) wall motion tracking (WMT) based on ultrasound imaging enables estimation of aortic wall motion and deformation. It provides insights into changes in vascular compliance and vessel wall properties essential for understanding the pathogenesis and progression of aortic diseases. In this report, we employed the novel 3D WMT analysis on the ascending aorta aneurysm (AA) to estimate local aortic wall motion and strain in case of a patient scheduled for replacement of the aortic root. Although progression of the diameter indicates surgical therapy, at present we addressed the question for optimal surgical time point. According to the data, AA in our case has enlarged diameter and subsequent reduced circumferential wall strain, but area tracking data reveals almost normal elastic properties. Virtual remodeling of the aortic root opens a play list for different loading conditions to determine optimal surgical intervention in time.