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Objective: Health misinformation is common and can lead to harmful behaviors such as medication non-adherence. We assessed the impact of a novel patient educational tool focused on overcoming misconceptions among patients with coronary artery disease (CAD).
Methods: We developed the CAD Roadmap, an educational tool aimed at explaining the disease trajectory and overcoming common disease misconceptions (such as that statin medications are not beneficial). We designed a pilot survey to assess patients' 1) CAD-related knowledge, 2) medication-taking behavior, and 3) acceptability of the Roadmap. Survey participants were recruited online. CAD knowledge scores were compared with repeated measures -tests.
Results: Among 114 patients with CAD (mean age 67 years, 63% male), average CAD-related knowledge was 79.0% pre-test and 89.7% after review of the CAD Roadmap ( < .001). After review of the Roadmap, 24% indicated they planned to take their medications more regularly, 93% agreed it was helpful in understanding medication benefits, and 77% felt more empowered to participate in medical decisions.
Conclusion: The CAD Roadmap was evaluated positively, improved disease-related knowledge, and has the potential to improve adherence to treatments.
Innovation: Unlike many other interventions, the CAD Roadmap is specifically designed to overcome common misconceptions to improve health behaviors.
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http://dx.doi.org/10.1016/j.pecinn.2024.100303 | DOI Listing |
J Cardiovasc Comput Tomogr
June 2025
Department of Imaging, Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States; Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States. Electronic address:
Background: The new artificial intelligence-based software, Roadmap (HeartFlow), may assist in evaluating coronary artery stenosis during cardiac computed tomography (CT) for transcatheter aortic valve replacement (TAVR).
Methods: Consecutive TAVR candidates who underwent both cardiac CT angiography (CTA) and invasive coronary angiography were enrolled. We evaluated the ability of three methods to predict obstructive coronary artery disease (CAD), defined as ≥50 % stenosis on quantitative coronary angiography (QCA), and the need for percutaneous coronary intervention (PCI) within one year: Roadmap, clinician CT specialists with Roadmap, and CT specialists alone.
Abdom Radiol (NY)
June 2025
Hospital Israelita Albert Einstein, São Paulo, Brazil.
The exponential rise in the artificial intelligence (AI) tools for medical imaging is profoundly impacting the practice of radiology. With over 1000 FDA-cleared AI algorithms now approved for clinical use-many of them designed for radiologic tasks-the responsibility lies with training institutions to ensure that radiology residents are equipped not only to use AI systems, but to critically evaluate, monitor, respond to their output in a safe, ethical manner. This review proposes a comprehensive framework to integrate AI into radiology residency curricula, targeting both essential competencies required of all residents, optional advanced skills for those interested in research or AI development.
View Article and Find Full Text PDFFront Immunol
June 2025
Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background: Percutaneous coronary intervention (PCI) remains the primary treatment for coronary artery disease (CAD), yet post-procedural arterial injury triggers cellular change and pathological inflammation, leading to thrombosis and restenosis. Recent studies have highlighted the chemokine CXCL2 play an important role in the immune response to tissue repair. However, the cellular mechanisms and the role of chemokine CXCL2 underlying arterial repair after PCI remain poorly understood.
View Article and Find Full Text PDFEur Heart J Suppl
March 2025
Cardiovascular Department, Azienda Ospedaliera Toscana Sudest, San Donato Hospital, Via Pietro Nenni 22, Arezzo, Italy.
Coronary computed tomography angiography (CCTA) is a non-invasive diagnostic tool that is increasingly being used as an alternative to invasive coronary angiography (ICA) in patients with suspected coronary artery disease (CAD), providing important information on the extent and severity of CAD. Furthermore, stress CT myocardial perfusion imaging (CT-MPI) and fractional flow reserve derived from CCTA (CT-FFR) have been recently introduced in clinical practice as new tools for evaluating the functional relevance of coronary stenoses. ICA has been the preferred diagnostic method to guide the decision-making process between coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI).
View Article and Find Full Text PDFExpert Rev Mol Diagn
December 2024
Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: The development of coronary artery disease (CAD) is influenced by sex and genetic factors. Genome-wide association studies (GWAS) have linked genetic loci to CAD, mostly in European populations. The study aims to find sex-related genetic differences in the Iranian population.
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