A Promising Pathway Toward Mitigation and Eradication of Coronary Artery Disease
- PMID: 39698012
- PMCID: PMC11650573
- DOI: 10.14740/cr1721
A Promising Pathway Toward Mitigation and Eradication of Coronary Artery Disease
Abstract
Cardiovascular disease remains the leading cause of death in the United States and globally. Significant advances have been made throughout the history of cardiology and the treatment of this disease; however, these efforts have not halted the alarming statistics. Emerging approaches, such as artificial intelligence applied to cardiac imaging, genetic testing, and genetic silencing, may offer essential additional steps in treating the disease. Moreover, new pathways of the disease are being identified, which differ from traditional risk factors and offer a fresh, innovative approach. This paper focuses on a novel strategy that includes identifying and treating multiple pathways of the disease using both new and traditional interventions. These interventions include plaque-directed therapy rather than surrogate therapy, with the potential to mitigate consequences and possibly eradicate the disease through personalized, multi-approach treatments similar to those used in cancer treatment.
Keywords: Artificial intelligence; Cardiac computed tomography; Clonal hematopoiesis; Coronary artery disease; Genome wide association studies; Plaque; Polygenic risk score; RNA.
Copyright 2024, Karlsberg et al.
Conflict of interest statement
The authors declare no competing interest.
Figures


Similar articles
-
Future Horizons: The Potential Role of Artificial Intelligence in Cardiology.J Pers Med. 2024 Jun 19;14(6):656. doi: 10.3390/jpm14060656. J Pers Med. 2024. PMID: 38929877 Free PMC article. Review.
-
Noninvasive Atherosclerotic Phenotyping: The Next Frontier into Understanding the Pathobiology of Coronary Artery Disease.Curr Atheroscler Rep. 2024 Jul;26(7):305-315. doi: 10.1007/s11883-024-01205-7. Epub 2024 May 10. Curr Atheroscler Rep. 2024. PMID: 38727963 Review.
-
Advances in Artificial Intelligence-Assisted Coronary Computed Tomographic Angiography for Atherosclerotic Plaque Characterization.Rev Cardiovasc Med. 2024 Jan 15;25(1):27. doi: 10.31083/j.rcm2501027. eCollection 2024 Jan. Rev Cardiovasc Med. 2024. PMID: 39077649 Free PMC article. Review.
-
A cloud-based medical device for predicting cardiac risk in suspected coronary artery disease: a rapid review and conceptual economic model.Health Technol Assess. 2024 Jul;28(31):1-105. doi: 10.3310/WYGC4096. Health Technol Assess. 2024. PMID: 39023142 Free PMC article. Review.
-
Coronary Atherosclerotic Plaque Burden Assessment by Computed Tomography and Its Clinical Implications.Circ Cardiovasc Imaging. 2024 Aug;17(8):e016443. doi: 10.1161/CIRCIMAGING.123.016443. Epub 2024 Aug 20. Circ Cardiovasc Imaging. 2024. PMID: 39163370 Review.
References
-
- Warren J. Remarks on angina pectoris. The New England Journal of Medicine, Surgery and Collateral Branches of Science. 1812;1(1):1–11.
-
- Madaj PM, Budoff MJ, Li D, Tayek JA, Karlsberg RP, Karpman HL. Identification of noncalcified plaque in young persons with diabetes: an opportunity for early primary prevention of coronary artery disease identified with low-dose coronary computed tomographic angiography. Acad Radiol. 2012;19(7):889–893. doi: 10.1016/j.acra.2012.03.013. - DOI - PMC - PubMed
-
- Cho GW, Anderson L, Quesada CG, Jennings RS, Min JK, Earls JP, Karlsberg RP. Serial analysis of coronary artery disease progression by artificial intelligence assisted coronary computed tomography angiography: early clinical experience. BMC Cardiovasc Disord. 2022;22(1):506. doi: 10.1186/s12872-022-02951-9. - DOI - PMC - PubMed
-
- Choi AD, Marques H, Kumar V, Griffin WF, Rahban H, Karlsberg RP, Zeman RK. et al. CT evaluation by artificial intelligence for atherosclerosis, stenosis and vascular morphology (CLARIFY): a multi-center, international study. J Cardiovasc Comput Tomogr. 2021;15(6):470–476. doi: 10.1016/j.jcct.2021.05.004. - DOI - PubMed
Publication types
LinkOut - more resources
Full Text Sources