Algorithmic solutions to common problems encountered during chronic total occlusion angioplasty: The algorithms within the algorithm.
Robert F RileySimon J WalshAjay J KirtaneR Michael WymanWilliam J NicholsonLorenzo AzzaliniJames C SprattSanjog KalraColm G HanrattyAshish PershadTony DeMartiniDimitri KarmpaliotisWilliam L LombardiJ Aaron GranthamPublished in: Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions (2018)
Improved technical equipment, dissemination of best practices, and the importance of complete coronary revascularization have led to a renewed interest in coronary chronic total occlusion (CTO) PCI. In particular, the hybrid algorithm has been associated with increasing procedural success rates in the US. However, the hybrid algorithm only covers overarching strategies in the overall approach to these lesions. Several technical challenges can occur during execution of these approaches, each of which has several potential solutions. A systematic or algorithmic approach to dealing with these challenges could contribute to improved procedural efficiency and higher procedural success. While there have been isolated attempts in the past to codify approaches to each of these situations, there has not been a contemporary, comprehensive review of the potential solutions to these problems. We present 10 common problems encountered during CTO PCI and a consensus hierarchical approach to them.
Keyphrases
- coronary artery disease
- machine learning
- mental health
- deep learning
- percutaneous coronary intervention
- coronary artery bypass grafting
- coronary artery
- acute coronary syndrome
- acute myocardial infarction
- st segment elevation myocardial infarction
- antiplatelet therapy
- st elevation myocardial infarction
- primary care
- neural network
- healthcare
- aortic stenosis
- human health
- clinical practice
- left ventricular