ClinicalTrials.gov
public full text
Public Domain
Gadolinium-Enhanced Extracranial MRA Prior to Mechanical Thrombectomy Is Not Associated With an Improved Procedure Speed
The objective was to assess if performing a pre-intervention gadolinium-enhanced extracranial magnetic resonance angiogram (MRA) in addition to intracranial vascular imaging was associated with improved thrombectomy time metrics. Consecutive patients (912) treated by mechanical thrombectomy (MT) at a large comprehensive stroke center between January 2012 and December 2017 who were screened using pre-intervention MRI were included. Patient's characteristics and procedural data were collected. Analyses were performed to compare mechanical thrombectomy speed, efficacy, complications, and clinical outcomes between patients with and without pre-intervention gadolinium-enhanced extracranial MRA.
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
- CHinese Acute Tissue-Based Imaging Selection for Lysis In Stroke -Tenecteplase II#1093974
- GLOBE: an explainable machine learning platform for preoperative prediction of thromboembolism and neurological deterioration in patients with glioma.#285263
- Performance Evaluation of a 3D PSIR Sequence in MRI at 1.5T#1093792
- Korean Stroke Cohort for Functioning and Rehabilitation-II#1173241
- Measuring Brain Tumor Consistency Using Magnetic Resonance Elastography#1112954
Record · ID 993344
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