Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series.

Aortic stenosis (AS) is characterized by restricted motion and calcification of the aortic valve and is the deadliest valvular cardiac disease. Assessment of AS severity is typically done by expert cardiologists using Doppler measurements of valvular flow from echocardiography. However, this limits the assessment of AS to hospitals staffed with experts to provide comprehensive echocardiography service. As accurate Doppler acquisition requires significant clinical training, in this paper, we present a deep learning framework to determine the feasibility of AS detection and severity classification based only on two-dimensional echocardiographic data. We demonstrate that our proposed spatio-temporal architecture effectively and efficiently combines both anatomical features and motion of the aortic valve for AS severity classification. Our model can process cardiac echo cine series of varying length and can identify, without explicit supervision, the frames that are most informative towards the AS diagnosis. We present an empirical study on how the model learns phases of the heart cycle without any supervision and frame-level annotations. Our architecture outperforms state-of-the-art results on a private and a public dataset, achieving 95.2% and 91.5% in AS detection, and 78.1% and 83.8% in AS severity classification on the private and public datasets, respectively. Notably, due to the lack of a large public video dataset for AS, we made slight adjustments to our architecture for the public dataset. Furthermore, our method addresses common problems in training deep networks with clinical ultrasound data, such as a low signal-to-noise ratio and frequently uninformative frames. Our source code is available at: https://github.com/neda77aa/FTC.git.

The 2020 Canadian Cardiovascular Society/Canadian Heart Rhythm Society Comprehensive guidelines for the management of Atrial Fibrillation

The Canadian Cardiovascular Society (CCS) atrial fibrillation (AF) guidelines program was developed to aid clinicians in the management of these complex patients, as well as to provide direction to policy makers and health care systems regarding related issues. The most recent comprehensive CCS AF guidelines update was published in 2010. Since then, periodic updates were published dealing with rapidly changing areas. However, since 2010 a large number of developments had accumulated in a wide range of areas, motivating the committee to complete a thorough guideline review. The 2020 iteration of the CCS AF guidelines represents a comprehensive renewal that integrates, updates, and replaces the past decade of guidelines, recommendations, and practical tips. It is intended to be used by practicing clinicians across all disciplines who care for patients with AF. The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) system was used to evaluate recommendation strength and the quality of evidence. Areas of focus include: AF classification and definitions, epidemiology, pathophysiology, clinical evaluation, screening and opportunistic AF detection, detection and management of modifiable risk factors, integrated approach to AF management, stroke prevention, arrhythmia management, sex differences, and AF in special populations. Extensive use is made of tables and figures to synthesize important material and present key concepts. This document should be an important aid for knowledge translation and a tool to help improve clinical management of this important and challenging arrhythmia.

Le programme de lignes directrices de la Société canadienne de cardiologie (SCC) en matière de fibrillation auriculaire (FA) a été élaboré pour aider les cliniciens à prendre en charge ces patients complexes, ainsi que pour orienter les décideurs politiques et les systèmes de soins de santé sur des questions connexes. La dernière édition complète des lignes directrices de la SCC en matière de FA a été publiée en 2010. Depuis lors, des mises à jour périodiques ont été publiées, traitant de domaines en évolution rapide. Cependant, en 2020, un grand nombre de développements s'y étaient ajoutés, couvrant un large éventail de domaines, ce qui a motivé le comité à créer une refonte complète des lignes directrices. L'édition 2020 des lignes directrices de la SCC en matière de FA représente un renouvellement complet qui intègre, met à jour et remplace les lignes directrices, les recommandations et les conseils pratiques des dix dernières années. Elle est destinée à être utilisée par les cliniciens praticiens de toutes les disciplines qui s'occupent de patients souffrant de FA. L'approche GRADE (Gradation des Recommandations, de l'Appréciation, du Développement et des Évaluations) a été utilisée pour évaluer la pertinence des recommandations et la qualité des résultats. Les domaines d'intérêt incluent : la classification et les définitions de la FA, son épidémiologie, sa physiopathologie, l'évaluation clinique, le dépistage de la FA, la détection et la gestion des facteurs de risque modifiables, l'approche intégrée de la gestion de la FA, la prévention des accidents vasculaires cérébraux, la gestion de l'arythmie, les différences entre les sexes et la FA dans des populations particulières. Des tableaux et figures ont été largement utilisés pour synthétiser les éléments importants et présenter les concepts clés. Ce document devrait représenter une aide importante pour l'intégration des connaissances et un outil pour aider à améliorer la gestion clinique de cette arythmie importante et difficile à traiter.