Coronary angiography: a review of the state of the art and the evolution of angiography in cardio therapeutics.

ABSTRACT: Traditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility.  Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities. In addition, non-invasive fractional flow reserve (FFR) indices, including computed tomography-FFR, have emerged as valuable tools, offering precise physiological assessment of coronary artery disease without the need for invasive procedures. These innovations allow for a more comprehe

SUBMITTER: Gurav A 

PROVIDER: S-EPMC11625592 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature