FFRangio

The FFRangio™ System is a software device designed to provide non-invasive functional assessment of coronary artery disease by calculating an FFRangio value derived from patient-specific angiographic data. Its core methodology involves generating a 3D model of the coronary arteries from DICOM images and applying computational fluid dynamics to simulate blood flow and determine physiological significance.

The FFRangio™ System is a software device intended for the clinical quantitative and qualitative analysis of previously acquired angiography DICOM data from patients with coronary artery disease. Its primary purpose is to support the functional evaluation of this disease by generating a mathematically derived quantity, FFRangio, which is computed from simulated blood flow information; this simulation is based on a 3D computer model of the coronary arteries, which the system generates from user-selected angiographic images after key anatomical features are marked by the clinician, with results designed as a supportive aid for qualified clinicians in assessing coronary artery physiology in conjunction with other clinical data. The underlying science of the FFRangio system relies on computational modeling to simulate blood flow dynamics within the patient-specific 3D coronary artery model, using standard angiographic images retrieved in DICOM format as input. The system, including its modified FAU4000 model with components like a touchscreen console and optional 3D mouse for enhanced usability, processes these images to determine the FFRangio value, achieving a per-vessel sensitivity of 93.5% and specificity of 91.2% as determined from its pivotal clinical study, with the core data processing algorithm and fundamental scientific technology remaining unchanged through device modifications.

AI Regulatory Concerns

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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

• Q1. How does the FFRangio algorithm validate the accuracy of the 3D model reconstruction from 2D angiographic projections, particularly in cases with vessel overlap or poor image quality?; What are the specific input parameters (e.g., vessel diameter, lesion length, flow rates) used in the blood flow simulation, and how are default values or patient-specific estimates derived if not directly measurable from angiography?; The system reports 93.5% sensitivity and 91.2% specificity; what was the reference standard used in the pivotal clinical study to determine these values, and what was the defined cut-off for FFRangio?; How does the FFRangio system address inter-observer variability in the manual marking of key features (lesion, ostium, vessels) on the angiographic images, and what is its impact on the final FFRangio value?; What are the documented "key assumptions" underlying the FFRangio computation, and what is the system's performance sensitivity to variations in these assumptions, such as those related to microvascular resistance or hyperemic conditions?