Medical University of South Carolina
Charleston, South Carolina, 29425, United States
NCT Number: NCT04439643
Develop time-to-event prediction and plaque phenotype classification models for patients with known or suspected coronary artery disease.
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Notify Me18 year and older
All sexes
Observational
Charleston, South Carolina, 29425, United States
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
time to event and phenotype classification model
Time frame: >= 2 years
Develop time-to-event model for major adverse cardiac events (MACE) prediction on large retrospective cohort (and enable a prospective collection subsequent to this study). Consistent with this primary endpoint is the evaluation of all imaging-derived data that has a bearing on the diagnosis and prognosis of the subject.
Elucid Bioimaging Inc.
Industry
Acronym: PoSTCARD
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