Viewing Study NCT05509010



Ignite Creation Date: 2024-05-06 @ 5:59 PM
Last Modification Date: 2024-10-26 @ 2:39 PM
Study NCT ID: NCT05509010
Status: RECRUITING
Last Update Posted: 2022-08-19
First Post: 2022-04-19

Brief Title: AI Driven National Platform for CT cOronary Angiography for clinicaL and industriaL applicatiOns Registry
Sponsor: National Heart Centre Singapore
Organization: National Heart Centre Singapore

Study Overview

Official Title: AI Driven National Platform for CT cOronary Angiography for clinicaL and industriaL applicatiOns Registry APOLLO
Status: RECRUITING
Status Verified Date: 2022-08
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: APOLLO
Brief Summary: The overall aim is to build an AI driven national Platform for CT cOronary angiography for clinicaL and industriaL applicatiOns APOLLO for automated anonymization reporting Agatston scoring and plaque quantification in CAD It is a one-stop platform spanning diagnosis to clinical management and prognosis and aid in predicting pharmacotherapy response
Detailed Description: Coronary artery disease CAD a blockage of the blood vessels affects 6 of the general population and up to 20 of those over 65 years of age CAD is a leading cause of cardiac mortality in Singapore and worldwide with 19 of deaths in Singapore due to CAD MOH website

Numbers of CAD cases are increasing due to ageing and the higher prevalence of contributary diseases such as diabetes Computed Tomography Coronary Angiography CTCA is the first-line investigation for CAD as indicated by the National Institute for Clinical Excellence NICE guidelines Recent Prospective Multicenter Imaging Study for Evaluation of Chest Pain PROMISE and Scottish Computed Tomography of the Heart SCOT-HEART trials support CTCA as the dominant means for evaluating coronary anatomy and physiology as it increases diagnostic certainty improves efficiency of triage to invasive catheterization and reduces radiation exposure when compared to functional stress testing

Currently CAD report generation requires 3-6 hours of a CT specialists time to annotate scans with inter-observer variability of 20 In addition there is no effective singular toolkit to analyse Agatston scores a measure of calcified CAD severity of stenosis and plaque characterisation

These problems have severely constrained the effectiveness of CTCA as a diagnostic and research tool The investigators plan to build upon Singapores competitive advantages in artificial intelligence AI to provide a solution to these gaps

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None