ClinicalTrials.Veeva

Menu

CCTA Improves Clinical Management of Stable Chest Pain (CICM-SCP)

T

Tianjin Chest Hospital

Status

Enrolling

Conditions

Coronary Artery Disease
Invasive Coronary Angiography
Stable Chest Pain
Major Adverse Cardiovascular Events
Revascularization
Optimal Medical Therapy
Coronary Computed Tomography Angiography

Treatments

Diagnostic Test: CCTA

Study type

Observational

Funder types

Other

Identifiers

NCT04691037
2017-KY-004

Details and patient eligibility

About

The investigator aims to prospectively enroll patients who were referred for coronary computed tomography angiography (CCTA) for the assessment of stable chest pain (SCP) suspected of obstructive coronary artery disease (CAD). All patients underwent CCTA according to established guidelines and local institutional protocols. The imaging data were evaluated using different image post-processing software to comprehensively analyse anatomical, functional and histological information of coronary. This study will determine if CCTA-based imaging evaluation can provide more informaton to improve clinical management for SCP, including fewer MACE and better decision-making of downstream investigations and therapeutic interventions.

Enrollment

50,000 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • symptomatic patients with SCP suspected of obstructive CAD.
  • referred for CCTA for the assessment of SCP.
  • ≥18 years of age.
  • signed informed consent.

Exclusion criteria

  • acute coronary syndromes
  • previous CAD or coronary revascularization
  • nonsinus rhythm
  • cardiomyopathy, valvular disease, congenital heart disease or left cardiac insufficiency because of other reasons

Trial design

50,000 participants in 1 patient group

CCTA
Treatment:
Diagnostic Test: CCTA

Trial contacts and locations

4

Loading...

Central trial contact

Jia Zhou

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems