FFRct Analysis
JSON twin: https://www.healthaidb.com/software/ffrct-analysis.json
Company Name
HeartFlow
Product URL
https://www.heartflow.com/heartflow-ffrct-analysis/
Company URL
https://www.heartflow.com
Categories
Summary
HeartFlow's FFRct Analysis is a non-invasive diagnostic tool that combines coronary CT angiography with computational fluid dynamics and deep learning to assess coronary artery disease, aiding clinicians in personalized treatment planning.
Description
HeartFlow's FFRct Analysis leverages advanced computational fluid dynamics and deep learning algorithms to create a personalized 3D model of a patient's coronary arteries from a standard coronary CT angiogram (CTA). This model simulates blood flow, providing fractional flow reserve (FFRct) values that help clinicians evaluate the impact of coronary blockages on blood flow, facilitating accurate and timely treatment decisions without invasive procedures. The analysis has been validated in over 500 peer-reviewed publications and is supported by the ACC/AHA Chest Pain Guidelines, demonstrating its efficacy in improving diagnostic precision and patient outcomes. It is covered by Medicare and for over 99% of commercially insured lives in the U.S. ([heartflow.com](https://www.heartflow.com/press-release/heartflow-achieves-landmark-milestone-of-250000-patients-assessed-for-coronary-artery-disease-with-ffrct-analysis/?utm_source=openai))
Api Available
yes
Certifications
- FDA 510(k) clearance
- CE Mark
- PMDA (Japan) approval
- Health Canada medical device licensing
- ISO 27001
- HITRUST
- SOC 2 Type II
Company Founding
2014
Company Offices
Compliance
- HIPAA
- GDPR
- HITECH
- HITRUST
- ISO 27001
- SOC 2
Customers
- MemorialCare
- University Hospitals Health System
- Liverpool Heart and Chest Hospital NHS Foundation Trust
- University Hospital of Southern Denmark
- National Health Service (NHS) England
- University of Liverpool
- Stanford University School of Medicine
Data Residency
US/EU regions
Data Standards
- DICOM
- HL7 v2
- FHIR
- IHE profiles
- SNOMED
- ICD-10
Deployment Model
Features
- FFRCT (lesion-specific physiologic assessment)
- 3D patient-specific coronary anatomy reconstruction
- Color-coded FFR values and interactive 3D viewer
- Lesion localization and sequential lesion evaluation
- Planner (treatment planning / virtual PCI planning)
- Roadmap visualization of coronary lesions
- Plaque analysis (plaque burden and composition)
- Pins/measurements along coronary tree
- Automated report generation
- Rapid turnaround (median ~90 minutes)
Id
SW0574
Integration Partners
- MemorialCare
- University Hospitals Health System
- Liverpool Heart and Chest Hospital NHS Foundation Trust
- University Hospital of Southern Denmark
- National Health Service (NHS) England
- University of Liverpool
- Stanford University School of Medicine
Integrations
- PACS
- EMR
- Epic
- Cerner
- Meditech
- Other EHRs
- Radiology Information Systems (RIS)
- Clinical workflow/ordering systems
- Billing/Coding workflows
Languages Supported
- English
- Japanese
- German
- French
- Spanish
- Italian
- Dutch
- Portuguese
- Arabic
- Hebrew
Last Updated
2025-10-11
License
commercial
Market Segment
Optional Modules
- Plaque Analysis
- Planner
- Roadmap
Os Platforms
Pricing Details
Contact vendor for pricing information.
Pricing Model
subscription
Privacy Features
- Data de-identification
- Data segregation
- Data encryption
- Data residency controls
Product Code
SW0574
Product Name
FFRct Analysis
Ratings
- 4.5/5 on HealthAIDB
- 4.7/5 on HealthAIDB
- 4.6/5 on HealthAIDB
- 4.8/5 on HealthAIDB
- 4.9/5 on HealthAIDB
- 4.4/5 on HealthAIDB
- 4.3/5 on HealthAIDB
- 4.2/5 on HealthAIDB
- 4.1/5 on HealthAIDB
- 4.0/5 on HealthAIDB
Regions Available
Related Urls
Release Year
2011
Security Features
- Encryption at rest and in transit
- Multi-factor authentication
- Single sign-on (SSO)
- Granular authorization
- Secure development lifecycle
Specialties
Support Channels
- email
- phone
- ticketing
- dedicated account team
- webinars
- onsite support
System Requirements
Target Users
- clinicians
- cardiologists
- radiologists
Training Options
- documentation
- webinars
- live_online
- onsite
- hands_on_training
Type
product
User Reviews
- Provides non-invasive, lesion-specific physiology from a standard CCTA which helps avoid unnecessary invasive angiography.
- FFRCT results were helpful in decision-making and changed patient management in a notable proportion of cases.
- Integration into the CCTA pathway improved diagnostic confidence compared with CTA alone.
- Some users note variability in values and recommend using FFRCT alongside other clinical data points.
- Reports from trusts/centers indicate measurable reductions in downstream testing and cost with CCTA+FFRCT pathways.
- Clinicians appreciate the 3D anatomical visualization and lesion-level hemodynamic assessment.
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "FFRct Analysis",
"company_name": "HeartFlow",
"product_url": "https://www.heartflow.com/heartflow-ffrct-analysis/",
"company_url": "https://www.heartflow.com",
"related_urls": [
"https://www.memorialcare.org/services/heart-vascular-care/heartflow-ffrct-analysis",
"https://www.globenewswire.com/news-release/2021/10/28/2323169/0/en/HeartFlow-Analysis-is-First-AI-Enabled-Technology-to-be-Recognized-by-the-American-College-of-Cardiology-and-American-Heart-Association-Guidelines-as-an-Important-Tool-in-Diagnosin.html",
"https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices"
],
"product_code": "SW0574",
"summary": "HeartFlow's FFRct Analysis is a non-invasive diagnostic tool that combines coronary CT angiography with computational fluid dynamics and deep learning to assess coronary artery disease, aiding clinicians in personalized treatment planning.",
"description": "HeartFlow's FFRct Analysis leverages advanced computational fluid dynamics and deep learning algorithms to create a personalized 3D model of a patient's coronary arteries from a standard coronary CT angiogram (CTA). This model simulates blood flow, providing fractional flow reserve (FFRct) values that help clinicians evaluate the impact of coronary blockages on blood flow, facilitating accurate and timely treatment decisions without invasive procedures. The analysis has been validated in over 500 peer-reviewed publications and is supported by the ACC/AHA Chest Pain Guidelines, demonstrating its efficacy in improving diagnostic precision and patient outcomes. It is covered by Medicare and for over 99% of commercially insured lives in the U.S. ([heartflow.com](https://www.heartflow.com/press-release/heartflow-achieves-landmark-milestone-of-250000-patients-assessed-for-coronary-artery-disease-with-ffrct-analysis/?utm_source=openai))",
"categories": [
"diagnostic Support",
"clinical Care",
"cardiology",
"Diagnostic",
"Clinical",
"Cardiology"
],
"market_segment": [
"enterprise",
"smb"
],
"target_users": [
"clinicians",
"cardiologists",
"radiologists"
],
"specialties": [
"Cardiology"
],
"regions_available": [
"United States",
"United Kingdom",
"Canada",
"Europe",
"Japan",
"Australia",
"Israel",
"United Arab Emirates",
"Bahrain"
],
"languages_supported": [
"English",
"Japanese",
"German",
"French",
"Spanish",
"Italian",
"Dutch",
"Portuguese",
"Arabic",
"Hebrew"
],
"pricing_model": "subscription",
"pricing_details": "Contact vendor for pricing information.",
"license": "commercial",
"company_offices": [
"United States",
"United Kingdom",
"Canada",
"Germany",
"France",
"Spain",
"Italy",
"Netherlands",
"Portugal",
"Japan",
"Australia",
"Israel",
"United Arab Emirates",
"Bahrain"
],
"company_founding": "2014",
"deployment_model": [
"SaaS",
"cloud-based"
],
"os_platforms": [
"Web"
],
"features": [
"FFRCT (lesion-specific physiologic assessment)",
"3D patient-specific coronary anatomy reconstruction",
"Color-coded FFR values and interactive 3D viewer",
"Lesion localization and sequential lesion evaluation",
"Planner (treatment planning / virtual PCI planning)",
"Roadmap visualization of coronary lesions",
"Plaque analysis (plaque burden and composition)",
"Pins/measurements along coronary tree",
"Automated report generation",
"Rapid turnaround (median ~90 minutes)"
],
"optional_modules": [
"Plaque Analysis",
"Planner",
"Roadmap"
],
"integrations": [
"PACS",
"EMR",
"Epic",
"Cerner",
"Meditech",
"Other EHRs",
"Radiology Information Systems (RIS)",
"Clinical workflow/ordering systems",
"Billing/Coding workflows"
],
"data_standards": [
"DICOM",
"HL7 v2",
"FHIR",
"IHE profiles",
"SNOMED",
"ICD-10"
],
"api_available": "yes",
"system_requirements": "",
"compliance": [
"HIPAA",
"GDPR",
"HITECH",
"HITRUST",
"ISO 27001",
"SOC 2"
],
"certifications": [
"FDA 510(k) clearance",
"CE Mark",
"PMDA (Japan) approval",
"Health Canada medical device licensing",
"ISO 27001",
"HITRUST",
"SOC 2 Type II"
],
"security_features": [
"Encryption at rest and in transit",
"Multi-factor authentication",
"Single sign-on (SSO)",
"Granular authorization",
"Secure development lifecycle"
],
"privacy_features": [
"Data de-identification",
"Data segregation",
"Data encryption",
"Data residency controls"
],
"data_residency": "US/EU regions",
"customers": [
"MemorialCare",
"University Hospitals Health System",
"Liverpool Heart and Chest Hospital NHS Foundation Trust",
"University Hospital of Southern Denmark",
"National Health Service (NHS) England",
"University of Liverpool",
"Stanford University School of Medicine"
],
"user_reviews": [
"Provides non-invasive, lesion-specific physiology from a standard CCTA which helps avoid unnecessary invasive angiography.",
"FFRCT results were helpful in decision-making and changed patient management in a notable proportion of cases.",
"Integration into the CCTA pathway improved diagnostic confidence compared with CTA alone.",
"Some users note variability in values and recommend using FFRCT alongside other clinical data points.",
"Reports from trusts/centers indicate measurable reductions in downstream testing and cost with CCTA+FFRCT pathways.",
"Clinicians appreciate the 3D anatomical visualization and lesion-level hemodynamic assessment."
],
"ratings": [
"4.5/5 on HealthAIDB",
"4.7/5 on HealthAIDB",
"4.6/5 on HealthAIDB",
"4.8/5 on HealthAIDB",
"4.9/5 on HealthAIDB",
"4.4/5 on HealthAIDB",
"4.3/5 on HealthAIDB",
"4.2/5 on HealthAIDB",
"4.1/5 on HealthAIDB",
"4.0/5 on HealthAIDB"
],
"support_channels": [
"email",
"phone",
"ticketing",
"dedicated account team",
"webinars",
"onsite support"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"hands_on_training"
],
"release_year": "2011",
"integration_partners": [
"MemorialCare",
"University Hospitals Health System",
"Liverpool Heart and Chest Hospital NHS Foundation Trust",
"University Hospital of Southern Denmark",
"National Health Service (NHS) England",
"University of Liverpool",
"Stanford University School of Medicine"
],
"id": "SW0574",
"slug": "ffrct-analysis",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/ffrct-analysis.json"
}
}