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

NCT ID: NCT06376851

Last Updated: 2025-10-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

20000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-03-27

Study Completion Date

2030-03-27

Brief Summary

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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).

Detailed Description

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The DECIDE Registry is a post-market, multi-center, data collection study assessing the change in management of clinically stable patients who undergo CCTA with plaque detected. Data will be retrospectively collected following the CCTA, and analyses will be completed 90 days, 180 days, and 1 year after CCTA. Data may be retrospectively collected annually up to 5 years.

Conditions

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Coronary Artery Disease

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Group 1: No AI-QCPA

This group includes previously scanned, symptomatic patients with plaque detected and no prior revascularization. No AI-QCPA will be provided.

No interventions assigned to this group

Group 2: Delayed AI-QCPA

This group includes previously scanned, symptomatic patients with plaque detected and no prior revascularization. Ninety days following the CCTA, an AI-QCPA report will be provided to the CCTA reader who will in turn provide it to the treating clinician. The treating clinician will decide if changes to medical management are required to effectively treat the patient and if so, treating clinician will contact the patient with the new treatment plan.

AI-enabled quantitative coronary plaque analysis (AI-QCPA)

Intervention Type DIAGNOSTIC_TEST

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.

Group 3: Stress Test Only

This group includes symptomatic patients who previously had non-invasive stress testing only with no CCTA and no prior revascularization. No AI-QCPA will be provided.

No interventions assigned to this group

Group 4: Prospective AI-QCPA, symptomatic without prior revascularization

This group includes newly scanned, symptomatic patients with plaque detected and no prior revascularization. Patients in this group will have current symptoms suggestive of CAD and will not have had prior revascularization. CCTA reader who identifies plaque orders AI-QCPA to inform the medical management plan for the patient.

AI-enabled quantitative coronary plaque analysis (AI-QCPA)

Intervention Type DIAGNOSTIC_TEST

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.

Group 5: Prospective AI-QCPA, prior PCI

This group includes newly scanned patients with plaque detected. Patients in this group can by symptomatic or asymptomatic and will have had prior PCI in only one vessel territory (CABG patients are not eligible). CCTA reader who identifies plaque orders AI-QCPA to inform the medical management plan for the patient.

AI-enabled quantitative coronary plaque analysis (AI-QCPA)

Intervention Type DIAGNOSTIC_TEST

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.

Group 6: Prospective AI-QCPA, asymptomatic without prior revascularization

This group includes newly scanned, asymptomatic patients with plaque detected and no prior revascularization. Patients in this group will not have current symptoms suggestive of CAD and will not have had prior revascularization. CCTA reader who identifies plaque orders AI-QCPA to inform the medical management plan for the patient.

AI-enabled quantitative coronary plaque analysis (AI-QCPA)

Intervention Type DIAGNOSTIC_TEST

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.

Interventions

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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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Groups 1, 2,4,5 and 6: CCTA and plaque detected
2. Group 3: Any patient with a stress test (stress echocardiogram or nuclear imaging including SPECT or PET) and no CCTA within the 90 days prior to site activation
3. Groups 1,2,3 and 4: Clinically stable, symptomatic
4. Group 6: Clinically stable without symptoms suggestive of CAD at the time of the CCTA

Exclusion Criteria

1. ED presentation (at the time of the CCTA or stress test)
2. Groups 1,2,3,4, and 6: Previous history of CAD (prior to the CCTA or stress test with history of revascularization)
3. Group 5: Prior history of PCI in multiple vessel territories, PCI in the Left Main, CABG, and/or any other conditions or limitations which would prevent successful CCTA processing by HeartFlow
4. Acute chest pain (in patients who have not been ruled out for ACS)
5. Previously evaluated with and/or in a study which includes AI-QCPA
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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HeartFlow, Inc.

INDUSTRY

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Sarah Rinehart, MD

Role: PRINCIPAL_INVESTIGATOR

CAMC Health System

Leslee Shaw, MD

Role: PRINCIPAL_INVESTIGATOR

MOUNT SINAI HOSPITAL

Locations

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Moses Cone Memorial Hospital

Greensboro, North Carolina, United States

Site Status

Countries

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United States

Other Identifiers

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CP-910-001

Identifier Type: -

Identifier Source: org_study_id

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