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Research Shows Viability of Cardiac Image Analysis

By Medimaging International staff writers
Posted on 15 May 2017
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Image: The HeartModelA.I. provides automated 3DE quantification of heart functions from EPIQ ultrasound images (Photo courtesy of Philips Healthcare).
Image: The HeartModelA.I. provides automated 3DE quantification of heart functions from EPIQ ultrasound images (Photo courtesy of Philips Healthcare).
The results of a global multicenter study demonstrate that automated 3D Echocardiographic (3DE) analysis of left-heart chambers is an accurate and reproducible alternative to the manual methods in use today.

The research follows previous clinical assessments in laboratories in different locations, and affirms the consistency and reproducibility of the software analysis methodology.

The study results were published in the February 4, 2017, issue of the European Heart Journal by Royal Philips. The goal of the study was to verify the accuracy and reproducibility of cardiac measurements made using the Philips HeartModelA.I. Anatomically Intelligent Ultrasound (AIUS) software with images from the Philips EPIQ ultrasound system.

The study group included 180 patients at six sites each of whom underwent Left Atrial (LA) volume, Left Ventricular (LV) volume, and Ejection Fraction (EF) ultrasound measurements of the heart. The images were analyzed using automated software that provided advanced quantification, automated 3D views, and reproducibility.

The results of this study could lead to increased integration of 3DE quantification into clinical practice, potentially saving time, and providing real-time quantification of heart functions.

Professor of medicine, and director of non-invasive cardiac imaging labs at University of Chicago Medicine, Dr. Roberto Lang, said, “The days of time-consuming, difficult collection and analysis of heart measurements are behind us. The results of this study provide further evidence that 3DE technology like Philips HeartModelA.I. is the way forward for global health systems to save time and gather accurate data for quality care delivery to patients.”


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