News | March 13, 2015

PIA to Showcase Cardiac Image Post-Processing Service at ACC.15

Service allows remote review and editing of cardiac MR, CT images

March 13, 2015 — Precision Image Analysis (PIA) will be showcasing their remote post-processing solution for cardiac magnetic resonance (CMR) and cardiac computed tomography (CT) at the 2015 American College of Cardiology scientific session.

CMR use is increasing in the diagnosis and treatment of patients with heart disease, and PIA has developed a comprehensive service to help imaging centers more easily integrate and adopt this technique. The company has developed a process for remote review and editing of diagnostic medical images and has a team of trained analysts to perform preliminary quantitative post-processing.

PIA can help hospitals and imaging centers save both time and money by providing post-processing analysis of right and left ventricular function from CMR image sets. The PIA remote service frees the physician from technical data generating tasks. This allows physicians to spend their time caring for patients and focusing on interpretation.

The use of PIA services creates a standardized level of analysis by utilizing trained analysts who are scrutinizing similar cardiac cases on a daily basis. Remote work can be returned to hospitals within as little as two hours. For hospitals that only need a few cases analyzed at a time, and can't justify hiring or retraining an employee, PIA offers a pay-per-case program that can be significantly less expensive. Use of this technology can translate into a quicker turnaround and be more responsive for time-sensitive patient cases.

Adoption of CMR as a diagnostic tool is predicted to double in 2015 to more than 1 million users. Currently, CMR is known to be the gold standard and the most repeatably accurate method for assessment of right and left ventricular volume and function. This technology is known to provide the highest level of temporal and contrast resolution. Use of CMR can limit repeat examinations and reduce the number of diagnostic procedures necessary

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