FFRangio System
CathWorks Ltd • Cardiovascular • 12/19/2018
Device Purpose
The CathWorks FFRangio™ System offers a non-invasive method to determine the functional significance of coronary artery stenoses by generating a 3D model from standard angiograms and simulating blood flow to calculate an FFRangio™ value. Clinical studies have validated its high sensitivity and specificity in identifying hemodynamically significant lesions, positioning it as a valuable diagnostic aid for clinicians in the catheterization laboratory.
Summary
The CathWorks FFRangio™ System is a software-based medical device designed for the quantitative and qualitative analysis of coronary artery disease using previously acquired angiography DICOM data. Its primary purpose is to provide a mathematically derived fractional flow reserve value, termed FFRangio™, which is computed from simulated blood flow information based on a 3D computer model of the coronary arteries. This model is generated from standard angiographic images, with users selecting angiograms and marking key anatomical features like target lesions and vessel structures; the system then reconstructs the 3D model, enabling non-invasive functional evaluation of coronary artery disease to support clinicians in assessing coronary artery physiology. The FFRangio™ system's efficacy was established through clinical studies, notably the prospective, multicenter FAST-FFR trial, which compared FFRangio™ to invasive wire-based FFR. Results from 319 coronary lesions demonstrated high diagnostic performance, achieving a per-vessel sensitivity of 93.5% and a specificity of 91.2% (using a 0.80 FFR cutoff), thus meeting pre-specified goals. The system also showed a strong correlation (R=0.80) with invasive FFR measurements. This technology facilitates on-line FFR assessment within the catheterization laboratory using existing angiographic data, offering a non-invasive computational alternative to traditional pressure wire methods for the functional assessment of coronary lesions.
AI Regulatory Concerns
Powered by
Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.
Keywords
Device Metadata
Relevant Clinical Questions
- Q1. How does the FFRangio™ system's 3D model generation algorithm account for variations in angiographic image quality and different C-arm systems, and what is the potential impact on FFRangio™ accuracy?; What are the specific limitations or types of coronary lesions (e.g., heavily calcified, tandem lesions, diffuse disease, ostial lesions) where the accuracy of FFRangio™ might be reduced compared to invasive FFR?; Given the on-line processing capability, what is the typical turn-around time from angiogram acquisition to FFRangio™ result availability in a routine clinical catheterization laboratory setting?; How does the FFRangio™ system's performance (sensitivity, specificity, correlation) vary in specific patient subgroups, such as those with prior coronary artery bypass grafting (CABG), previous stenting in the interrogated vessel, or very small vessel diameters?; Beyond the reported sensitivity and specificity from the FAST-FFR trial, what is the detailed inter-operator and intra-operator variability of FFRangio™ measurements when performed by different clinicians using the final device configuration in diverse real-world catheterization laboratory environments?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement
Learn how Parasoft automates IEC 62304 compliance testing →Cybersecurity Evidence
Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, OBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX. These may be present in the full FDA submission.
Preparing a similar submission?
ESL takes complete ownership of your software evidence work - SBOM & CVE remediation with SBOMator™, static analysis & unit testing with Parasoft, traceability, and full IEC 62304 lifecycle support.
Assess Your Readiness →Or contact ESL directly