WHO ICTRP trial
Correlation of Machine Learning Computed Tomography-Based Fractional Flow…
DRKS00017160 · German Clinical Trials Register · Not Recruiting
Key facts
| Trial ID | DRKS00017160 |
|---|---|
| Public title | Correlation of Machine Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) with Instantaneous Wave Free Ratio (iFR®) to Detect Hemodynamically Significant Coronary Stenosis |
| Scientific title | Correlation of Machine Learning Computed Tomography-Based Fractional Flow Reserve (CT-FFRML) with Instantaneous Wave Free Ratio (iFR®) to Detect Hemodynamically Significant Coronary Stenosis - CT FFR |
| Primary sponsor | Volcano Europe BVBA/SPRL |
| Registry | German Clinical Trials Register |
| Recruitment status | Not Recruiting |
| Study type | interventional |
| Phase | 4 |
| Countries | Germany |
| Conditions | Coronary artery disease I25.0;Atherosclerotic cardiovascular disease, so described;I25.0 |
| Interventions | Group 1: Patients with a stable CAD and intermediate pretest probability receive a cardiac computed tomography scan. In the case of a conspicuous (pathological) cCTA finding, the next step is the invasive assessment. Visually intermediate… |
| Registration date | May 28, 2019 |
| Target size | 50 |
| Registry page | drks.de |
At a glance
- No Results available
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Source: World Health Organization (WHO), International Clinical Trials Registry Platform (ICTRP) · Source date: