Key result
The CARES 3.0 automated algorithm for CIMT measurement achieved a Figure-of-Merit of 97.4% and bias of -0.021 mm, outperforming semi-automated and fully automated comparator techniques.
Why the study?
Does the CARES 3.0 automated algorithm improve CIMT measurement accuracy compared to other techniques on ultrasound images?
Does the CARES 3.0 automated algorithm improve CIMT measurement accuracy compared to other techniques on ultrasound images?
The CARES 3.0 fully automated algorithm provides highly accurate CIMT measurements, outperforming existing semi-automated and automated techniques.
The intima-media thickness of the carotid artery (CIMT) is a validated marker of atherosclerosis. Accurate CIMT measurement can be performed by specifically designed computer algorithms. We improved a previous CIMT measurement technique by introducing a smart heuristic search for the lumen-intima (LI) and media-adventitia (MA) interfaces of the carotid distal wall. We called this new release as CARES 3.0 (a class of AtheroEdge™ system, a patented technology from Global Biomedical Technologies, Inc., CA, USA). CARES 3.0 is completely automated and adopts an integrated approach for carotid location in the image frame, followed by segmentation based on edge snapper and heuristic search. CARES 3.0 was benchmarked against three other techniques on a 300 image multi-institutional database. One of the techniques was user-driven. The CARES 3.0 CIMT measurement bias was -0.021 ± 0.182 mm, which was better than that of the semi automated method (-0.036 ± 0.183 mm). CARES 3.0 outperformed the other two fully automated methods. The Figure-of-Merit of CARES 3.0 was 97.4%, better than that of the semi-automated technique (95.4%).
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Molinari et al. (2011) studied Atherosclerosis (n=300). CARES 3.0 automated algorithm vs. Semi-automated and fully automated techniques was evaluated on Figure-of-Merit. The CARES 3.0 automated algorithm for CIMT measurement achieved a Figure-of-Merit of 97.4% and bias of -0.021 mm, outperforming semi-automated and fully automated comparator techniques.
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