ClinicalTrials.gov
public full text
Public Domain
Personalized Evaluation of Susptected Myocardial Ischemia
This study aims to assess whether the use of clinical risk models, known as Clinical Likelihood (CL) models, can reduce the need for diagnostic examinations without negatively impacting quality of life or prognosis after 12 months in patients with stable new onset chest pain. Additionally, the project will evaluate a newly developed method called Laser Speckle Contrast Imaging for measuring function and oxygen content in the smallest blood vessels (microvasculature) of the hand, which may also reflect blood flow and oxygen content in the microvasculature of the heart.
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
- Multi-center Trial of SPECT Myocardial Blood Flow Quantitation for Detection of Coronary Artery Disease#829283
- Myocardial Perfusion Quantification With SPECT Using Multi-Pinhole Collimator Compared to Photon-Counting Coronary CTA#805002
- Coronary CT Angiography as the Primary Initial Method of Evaluating Patients With Subacute Chest Pain (CT PRIME)#1093390
- Non-invasive and Invasive Assessment of Coronary Artery Disease#828645
- Dynamic Stress Perfusion CT for Detection of Inducible Myocardial Ischemia#1195515
Record · ID 1292909
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