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ACTIVE NOT RECRUITING
NCT06376851

AI DErived Plaque Quantification: CCTA and AI-QCPA for Determining Effective CAD Management

Sponsor: HeartFlow, Inc.

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

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