ClinicalTrials.gov
public full text
Public Domain
Development of Novel Imaging Markers Predicting the Progression of Abdominal Aortic Aneurysm Using 3D Computed Tomography
Study purpose: This study will investigate anatomical factors associated with increased risk of major adverse aorta-related event and accelerated growth of abdominal aneurysm based on 3-dimensional analysis of CT images. Study design: a multicenter single-arm prospective observational study. Subject: patients with small abdominal aortic aneurysm with maximal diameter of 30-50 mm (n=323) Methods: Patients diagnosed with small AAA based on CT will be enrolled after considering inclusion and exclusion criteria and prospectively followed clinically and with CT at 1 year. Primary endpoint: Major adverse aorta-related events (death, aortic rupture, or aneurysm growth \>0.4 cm per year) at 1 year Secondary endpoints: 1) clinical events : death, aortic rupture, aneurysm growth \>0.4 cm per year, surgical or endovascular repair 2) Changes in CT parameters of aneurysm: diameter, volume, wall shear stress
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
- Using US to Evaluate Aortic Aneurysm Size Based on 3D Co-registration to Previous CT Scan#841828
- Follow up of Patients With Aortic Aneurysm by Dosage of Circulant Endothelial Progenitor Cells#889615
- Sodium Fluoride Imaging of Abdominal Aortic Aneurysms#1164273
- Molecular Imaging of the Underlying Mechanism of Vessel Wall Inflammation Using Positron Emission Tomography (PET/CT)#887494
- Carotid Plaque Characterization Using Innovative Ultrasound Techniques#880454
Record · ID 1032254
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