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Official Description

Noninvasive estimate of coronary fractional flow reserve (FFR) derived from augmentative software analysis of the data set from a coronary computed tomography angiography, with interpretation and report by a physician or other qualified health care professional

© Copyright 2026 American Medical Association. All rights reserved.

Common Language Description

The CPT® Code 75580 refers to a noninvasive procedure that estimates the coronary fractional flow reserve (FFR) using advanced software analysis of data obtained from coronary computed tomography angiography (CCTA). This procedure is crucial for evaluating the severity of ischemia, which is a condition characterized by insufficient blood flow to the heart muscle due to coronary artery stenosis, or narrowing. By determining the FFR, healthcare professionals can better predict the potential benefits of surgical interventions, such as revascularization, compared to conservative medical management. The process involves creating a digital model of the coronary arteries from the images captured during the CCTA. This model incorporates patient-specific physiological conditions during peak hyperemia, which is the state of maximum blood flow. The FFR is calculated throughout the entire coronary vascular system using computational fluid dynamics, a method that simulates blood flow and pressure dynamics. The integration of coronary anatomy, physiological data, and fluid dynamics allows for a comprehensive assessment of coronary artery blood flow and pressure under conditions of maximum hyperemia. The code encompasses the entire workflow, including the preparation and transmission of CCTA data, the analysis of fluid dynamics, and the simulation of maximal coronary hyperemia. Additionally, it involves the generation of an estimated FFR model, which is then compared with anatomical data to resolve any discrepancies. The final interpretation and report are provided by a physician or another qualified healthcare professional, ensuring that the findings are accurately communicated for further clinical decision-making.

© Copyright 2026 Coding Ahead. All rights reserved.

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