Literature DB >> 24295289

Determining optimal noninvasive parameters for the prediction of left ventricular remodeling in chronic ischemic patients.

Frank Rademakers1, Jan Engvall, Thor Edvardsen, Mark Monaghan, Rosa Sicari, Eike Nagel, José Zamorano, Heikki Ukkonen, Tino Ebbers, Vitantonio Di Bello, Jens-Uwe Voigt, Lieven Herbots, Piet Claus, Jan D'hooge.   

Abstract

OBJECTIVES: DOPPLER-CIP aims to determine the optimal noninvasive parameters (myocardial function, perfusion, ventricular blood flow, cell integrity) and methodology (ergometry, echocardiography, scintigraphy, MRI) in a given ischemic substrate that best predicts the impact of an intervention (or the lack thereof) on adverse morphological ventricular remodeling and functional recovery. Moreover, the relative predictive value of each of these parameters, in respect to the cost of extracting this information in order to enable optimization of cost-effectiveness for improved health care, will be determined by this project.
DESIGN: DOPPLER-CIP is a multi-center registry study. All patients with ischemic heart disease included in this study undergo at least two noninvasive stress imaging examinations at baseline. The presence/or absence of left ventricular (LV) remodeling will be assessed after a follow-up of 2 years, during which all cardiac events will be registered.
RESULTS: 676 patients were included. Currently, baseline data analysis is almost finished and the follow-up is ongoing.
CONCLUSIONS: After completion, DOPPLER-CIP will provide evidence-based guidelines toward the most effective use of cardiac imaging in the chronically ischemic heart disease patient. The study will generate information, knowledge, and insight into the new imaging methodologies and into the pathophysiology of chronic ischemic heart disease.

Entities:  

Mesh:

Year:  2013        PMID: 24295289     DOI: 10.3109/14017431.2013.857039

Source DB:  PubMed          Journal:  Scand Cardiovasc J        ISSN: 1401-7431            Impact factor:   1.589


  5 in total

1.  Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

Authors:  Mahdi Tabassian; Martino Alessandrini; Lieven Herbots; Oana Mirea; Efstathios D Pagourelias; Ruta Jasaityte; Jan Engvall; Luca De Marchi; Guido Masetti; Jan D'hooge
Journal:  Int J Cardiovasc Imaging       Date:  2017-03-20       Impact factor: 2.357

2.  Clinical experience of strain imaging using DENSE for detecting infarcted cardiac segments.

Authors:  Johan Kihlberg; Henrik Haraldsson; Andreas Sigfridsson; Tino Ebbers; Jan E Engvall
Journal:  J Cardiovasc Magn Reson       Date:  2015-06-24       Impact factor: 5.364

3.  Altered Diastolic Flow Patterns and Kinetic Energy in Subtle Left Ventricular Remodeling and Dysfunction Detected by 4D Flow MRI.

Authors:  Emil Svalbring; Alexandru Fredriksson; Jonatan Eriksson; Petter Dyverfeldt; Tino Ebbers; Ann F Bolger; Jan Engvall; Carl-Johan Carlhäll
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

4.  Clinical validation of three cardiovascular magnetic resonance techniques to measure strain and torsion in patients with suspected coronary artery disease.

Authors:  Johan Kihlberg; Vikas Gupta; Henrik Haraldsson; Andreas Sigfridsson; Sebastian I Sarvari; Tino Ebbers; Jan E Engvall
Journal:  J Cardiovasc Magn Reson       Date:  2020-12-07       Impact factor: 5.364

5.  Phase-contrast MRI volume flow--a comparison of breath held and navigator based acquisitions.

Authors:  Charlotta Andersson; Johan Kihlberg; Tino Ebbers; Lena Lindström; Carl-Johan Carlhäll; Jan E Engvall
Journal:  BMC Med Imaging       Date:  2016-03-28       Impact factor: 1.930

  5 in total

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