Distribution of guidance models for cardiac resynchronization therapy in the setting of multi-center clinical trials

Multi-center trials provide the unique ability to investigate novel techniques across a range of geographical sites with sufficient statistical power, the inclusion of multiple operators determining feasibility under a wider array of clinical environments and work-flows. For this purpose, we introduce a new means of distributing pre-procedural cardiac models for image-guided interventions across a large scale multi-center trial. In this method, a single core facility is responsible for image processing, employing a novel web-based interface for model visualization and distribution. The requirements for such an interface, being WebGL-based, are minimal and well within the realms of accessibility for participating centers. We then demonstrate the accuracy of our approach using a single-center pacemaker lead implantation trial with generic planning models.

[1]  Stefan Sack,et al.  Long-term clinical effect of hemodynamically optimized cardiac resynchronization therapy in patients with heart failure and ventricular conduction delay. , 2002, Journal of the American College of Cardiology.

[2]  Hervé Delingette,et al.  Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 , 2012, Lecture Notes in Computer Science.

[3]  J. Daubert,et al.  The effect of cardiac resynchronization on morbidity and mortality in heart failure. , 2005, The New England journal of medicine.

[4]  Michel Desvignes,et al.  A web interface for 3D visualization and interactive segmentation of medical images , 2012, Web3D '12.

[5]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[6]  Terry M. Peters,et al.  Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images , 2014, IEEE Transactions on Medical Imaging.

[7]  Ben Vandermeer,et al.  Cardiac resynchronization therapy for patients with left ventricular systolic dysfunction: a systematic review. , 2007, JAMA.

[8]  David Begley,et al.  Targeted left ventricular lead placement to guide cardiac resynchronization therapy: the TARGET study: a randomized, controlled trial. , 2012, Journal of the American College of Cardiology.

[9]  Vivek Muthurangu,et al.  Evaluation of techniques for the quantification of myocardial scar of differing etiology using cardiac magnetic resonance. , 2011, JACC. Cardiovascular imaging.

[10]  Mauricio Reyes,et al.  Development and Implementation of a Web-Enabled 3 D Consultation Tool for Breast Augmentation Surgery Based on 3 D-Image Reconstruction of 2 D Pictures , 2012 .

[11]  Feng Li,et al.  A Fast Convex Optimization Approach to Segmenting 3D Scar Tissue from Delayed-Enhancement Cardiac MR Images , 2012, MICCAI.

[12]  Maria Drangova,et al.  Delayed enhancement magnetic resonance imaging predicts response to cardiac resynchronization therapy in patients with intraventricular dyssynchrony. , 2006, Journal of the American College of Cardiology.

[13]  M. Cerqueira,et al.  Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association , 2002, The international journal of cardiovascular imaging.