ClinicalTrials.gov
public full text
Public Domain
ParisK: Validation of Imaging Techniques
The possibility of the identification of the risk of rupture of a carotid plaque will have tremendous impact in clinical decision making. Firstly, in symptomatic patients with a 30-69% stenosis, who are currently not operated upon according to the current guidelines, identification of the risk of rupture plaque could identify patients who have a high risk of recurrent stroke, and would benefit of carotid intervention, such as endarterectomy or stent placement. This could potentially prevent a substantial number of strokes. Secondly, in all symptomatic patients with a 70-99% stenosis carotid intervention should be considered, according to the guidelines. However, only one out of six patients with a 70-99% stenosis benefits from a carotid intervention. Identification of patients with a high risk of a recurrent stroke would reduce the number of unnecessary interventions substantially. The main objective is to show whether imaging characteristics assessed at baseline can predict clinical events in patients with a 30-69 % symptomatic carotid stenosis.
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
- The Carotid Artery Multi-modality Imaging Prognostic (CAMP) Study#1139357
- Diagnostic Performance of the Resistance Index (RI) for the Assessment of Cerebral Vasoreactivity in Transcranial Doppler#806308
- Early Detection of Vascular Dysfunction Using Biomarkers From Lagrangian Carotid Strain Imaging#890187
- Beneficial Effect of Carotid Endarterectomy in Symptomatic Patients with High-Grade Carotid Stenosis#7107
- Prediction of Hyperperfusion After Carotid Stenting by Multi-parameter Characteristics Based on Cerebral Autoregulation#858743
Record · ID 836023
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