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AI DErived Plaque Quantification: CCTA and AI-QCPA for Determining Effective CAD Management
Sponsor: HeartFlow, Inc.
Summary
The objective of HeartFlow's DECIDE Registry is to collect observational data about the management of patients before and after HeartFlow Artificial Intelligence-Quantitative Coronary Plaque Analysis (AI-QCPA).
Official title: DECIDE Registry: AI DErived Plaque Quantification: CCTA and AI-QCPA for Determining Effective CAD Management
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
20000
Start Date
2024-03-27
Completion Date
2030-03-27
Last Updated
2025-10-14
Healthy Volunteers
No
Conditions
Interventions
AI-enabled quantitative coronary plaque analysis (AI-QCPA)
The HeartFlow Plaque Analysis provides plaque identification, quantification, and characterization and is meant to support qualified clinicians to aid in the evaluation and risk assessment of coronary artery disease (CAD). It provides data on the volume and type of plaque present (Calcified, Non-calcified, Low Attenuation), both vessel specific and total volumes, with which physicians can better understand a patient's risk, discuss heart health, and help optimize medical management. Plaque Analysis is calculated using image data from a previously acquired CCTA.
Locations (1)
Moses Cone Memorial Hospital
Greensboro, North Carolina, United States