Plaque Stratification Using Ccta in Coronary ARtery Disease (PoSTCARD)

Plaque Stratification Using Ccta in Coronary ARtery Disease (PoSTCARD)

Develop time-to-event prediction and plaque phenotype classification models for patients with known or suspected coronary artery disease.

Develop time-to-event prediction and plaque phenotype classification models using plaque morphology and composition assessment of CTA which has been validated by histology, applied to representative cohort of patients. Generalizability of models is enhanced by using validated rather than only raw image inputs. Demographic, clinical, and outcome data is collected for enrolled patients as well as last known well dates.

Inclusion Criteria:

• Subject must have successfully completed at least one (possibly multiple) CCTA for known or suspected coronary artery disease, which was positive for coronary atherosclerotic changes.
• Subject must have been ≥ 18 years of age at the time of the CCTA

Exclusion Criteria:

• Subject has a history of percutaneous coronary intervention (PCI) with stent implantation and/or coronary artery bypass grafting (CABG)
• CCTA taken less than 3 months after deployment of new scanner
• Subject with insufficient CCTA image quality