Key result
CPTV framework outperforms mainstream methods for localizing and classifying carotid plaques in ultrasound videos.
Why the study?
Carotid plaque echo classification on ultrasound is challenging due to variations in plaque shape, semantics, and the complex vascular environment.
Does the CPTV framework improve the accuracy of carotid plaque localization and echo classification in ultrasound videos compared to mainstream methods?
Does the CPTV framework improve the accuracy of carotid plaque localization and echo classification in ultrasound videos compared to mainstream methods?
The CPTV framework offers a novel, tracking-assisted approach to accurately localize and classify carotid plaque echo status in ultrasound videos, outperforming mainstream methods.
May aid carotid plaque assessment on ultrasound videos; leaves open prospective clinical validation before practice change.
The risk assessment of carotid plaque is strongly related to the plaque echo status in ultrasound. However, the echo classification of carotid plaques based on ultrasound remains challenging due to the changes in plaque shape and semantics, along with the complex vascular environment. This study proposed a framework for Classification of Plaque by Tracking Videos (CPTV). To the best of our knowledge, this is the first study on plaque classification by tracking ultrasound video rather than a sonographic view, which achieves accurate localization and stable echo classification. In the tracking task, Multi-scale Decoupling Tracking (MDTrack) module including Multi-scale Dilated Encoder (MDE) and Internal-Exterior Feature Decoupling (IEFD) was proposed to solve the problems caused by shape and semantic variations to achieve accurate plaque localization in ultrasound. In the classification task, the Tracking-assisted 3D Attention (T3D-Attention) module included recombination and 3D-Attention extracted plaque features and echo-related features in the vascular environment. The experiments demonstrated that the performance of CPTV is better than current mainstream tracking and classification methods, indicating that the tracking-assistance classification is a kind of enhancement method with high universality and stability in the plaque in ultrasound.
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Xie et al. (2022) studied Carotid plaque. Classification of Plaque by Tracking Videos (CPTV) framework vs. Current mainstream tracking and classification methods was evaluated on Plaque localization and echo classification performance. The CPTV framework, utilizing tracking-assisted 3D attention, outperformed current mainstream methods for accurate localization and stable echo classification of carotid plaques in ultrasound videos.
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