Jeremy Douglas Collins MD, Presenter: Nothing to Disclose

Vladimir Kleper, Abstract Co-Author: Nothing to Disclose

Skip Talbot BS, Abstract Co-Author: Nothing to Disclose

James Christopher Carr MD, Abstract Co-Author: Speaker, Lantheus Medical Imaging, Inc

Pattanasak Mongkolwat PhD, Abstract Co-Author: Nothing to Disclose

Cardiac MR is the gold standard for assessment of biventricular function. Combined with 3D MRA, this technique enables comprehensive assessment of the heart and thoracic aorta. Although well suited for structured reporting, the typical reporting structure of radiology voice dictation systems is poorly suited to efficiently extract and store quantifiable cardiac MR data. As this cohort is followed longitudinally to assess for aneurysm enlargement, progression of valve disease and onset of ventricular dysfunction, there is a need to standardize qualitative descriptions of and reporting of quantifiable parameters. The caBIG AIM 4.0 has been integrated into a ClearCanvas open source imaging workstation, providing a foundation to integrate structured AIM into clinical practice and reporting. We report application of this reporting tool for cardiac MR and thoracic MRA evaluation.

The caBIG AIM 4.0 deployed on a ClearCanvas imaging workstation is well-suited for clinical reporting and research. Integrating this system into clinical practice enables efficient query of clinical data for education and research purposes. Information initially entered and stored in this manner is suitable to establish an imaging registry without dedicated clerical staff.

Anonymized cardiac MR imaging studies were used to collect data for purposes of trialing the AIM templates. The imaging studies were visualized and analyzed on an AIM 4.0 enabled ClearCanvas workstation. Users were able to annotate images and store data as AIM XML files. This format enables ready extraction of data for clinical and research purposes.

Cardiac MR and Thoracic MRA templates were created using the AIM template builder for myocardial evaluation using the 17-segment AHA model, morphological assessment of the aortic valve, and quantification of thoracic aortic size. Advanced templates incorporate quantification of myocardial T1, T2, and T2* values for tissue characterization and evaluation of the gadolinium extracellular volume fraction.

Collins, J, Kleper, V, Talbot, S, Carr, J, Mongkolwat, P, Quantitative Cardiac MR and Thoracic MRA Reporting with caBIG Annotation and Imaging Markup (AIM) to Record Longitudinal Imaging Findings in Patients with Aortic Valve Disease.  Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12035783.html