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

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.

Invasive Versus Conservative Strategy in Older Adults ≥75 Years of Age With Non-ST-segment-Elevation Acute Coronary Syndrome: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Background: Older adults with non-ST-segment-elevation acute coronary syndrome are less likely to undergo an invasive strategy compared with younger patients. Randomized controlled trials traditionally exclude older adults because of their high burden of geriatric conditions.

Methods And Results: We searched for randomized controlled trials comparing invasive versus medical management or a selective invasive (conservative) strategy for older patients (age≥75 years) with non-ST-segment-elevation acute coronary syndrome.

Quantitative flow ratio versus fractional flow reserve for coronary revascularisation guidance (FAVOR III Europe): a multicentre, randomised, non-inferiority trial.

Background: Fractional flow reserve (FFR) or non-hyperaemic pressure ratios are recommended to assess functional relevance of intermediate coronary stenosis. Both diagnostic methods require the placement of a pressure wire in the coronary artery during invasive coronary angiography. Quantitative flow ratio (QFR) is an angiography-based computational method for the estimation of FFR that does not require the use of pressure wires.