ClinicalTrials.gov
public full text
Public Domain
Comparison of the Diagnostic Performance and Costs of FFRB Vs. Standard Care in Suspected Coronary Artery Disease.
Chest pain due to coronary artery disease (CAD) is a main driver of healthcare costs. Fractional flow reserve (FFR) measurement during invasive coronary angiography (ICA) is the gold standard to discriminate ischemia. A rapid simplified method had been developed to determine non-invasive FFR (FFRB) by applying computational fluid dynamics (CFD) simulation on anatomic models derived from computed tomographic coronary angiography (CTCA).In this current study, the aims is to compare the diagnostic accuracy, clinical effectiveness, safety outcomes, and quality of life of using FFRB on top of CTCA for CAD diagnosis and treatment planning, versus standard of care in Singapore; and measure health care resource utilization and assess cost-effectiveness of adopting FFRB on top of CTCA to support decision making in managing patients with suspected CAD.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Non-invasive and Invasive Assessment of Coronary Artery Disease#828645
- PET MYOCARDIAL Blood Flow Comparison to Coronary CTA and CT-FFR#967687
- Physics-Informed Hemodynamic Modeling for Data-Free Prediction and Sparse-Data Assimilation#1013888
- The Heartflow Coronary Disease Progression Evaluation Study#812352
- Combined Coronary CT Angiography and CT Perfusion in Coronary Artery Disease (CoroFusion)#861046
Record · ID 1170838
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive