AI DErived Plaque Quantification: CCTA and AI-QCPA for Determining Effective CAD Management
NCT ID: NCT06376851
Last Updated: 2025-10-14
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
ACTIVE_NOT_RECRUITING
20000 participants
OBSERVATIONAL
2024-03-27
2030-03-27
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Artificial Intelligence for Preventing Heart Disease (AiPHD): Observational, Single Center, Prospective and Retrospective Study
NCT06029387
Effectiveness of Decision Support for Cardiovascular Risk Management in People With Cardiovascular Disease
NCT06871514
Decision Support System for Diagnosis and Progression of Heart Failure
NCT06377319
Activity-Aware Prompting to Improve Medication Adherence in Heart Failure Patients
NCT04152031
A Two-way Communication System to Coach Elderly Patients With Heart Failure
NCT03294811
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
CROSS_SECTIONAL
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
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)
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)
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)
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)
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
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
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.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
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
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
18 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
HeartFlow, Inc.
INDUSTRY
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Sarah Rinehart, MD
Role: PRINCIPAL_INVESTIGATOR
CAMC Health System
Leslee Shaw, MD
Role: PRINCIPAL_INVESTIGATOR
MOUNT SINAI HOSPITAL
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Moses Cone Memorial Hospital
Greensboro, North Carolina, United States
Countries
Review the countries where the study has at least one active or historical site.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
CP-910-001
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.