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| Name | Class |
|---|---|
| Medical University of South Carolina | OTHER |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Development / training | Selected by stratified partitioning |
| |
| Sequestered / test | Selected by stratified partitioning |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| vascuCAP | Device | time to event and phenotype classification model |
|
| Measure | Description | Time Frame |
|---|---|---|
| Time to adverse outcome | 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. | >= 2 years |
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Inclusion Criteria:
Exclusion Criteria:
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Reverse chronological, all-comers, design, adjusted for demographic factors
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| Name | Affiliation | Role |
|---|---|---|
| Andrew J. Buckler, MS | Elucid Bioimaging Inc. | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical University of South Carolina | Charleston | South Carolina | 29425 | United States |
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| ID | Term |
|---|---|
| D003324 | Coronary Artery Disease |
| ID | Term |
|---|---|
| D003327 | Coronary Disease |
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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| D001161 |
| Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |