ClinicalTrials.gov
public full text
Public Domain
REDucing Unnecessary Computed Tomography Imaging for MaxillOfacial INjury
The aim is to prospectively assess the association between clinical parameters and the presence of maxillofacial fractures in trauma patients admitted to the emergency department. Our hypothesis is that a clinical decision aid of critical parameters reduces unnecessary produced CT scans in maxillofacial trauma patients.
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
- Protocolo de control de calidad en Cone Beam CT dental basado en la guía Quality control in Cone-Beam computed tomography (CBCT) de la EFOMP-ESTRO-IAEA en equipo Planmeca ProMax 3Ds de la Facultad de Odontología campus Bellavista, Universidad san Sebastián.#409997
- Comparative Evaluation of an Electrical Impedance Device Versus Digital Radiography in Estimation of Remaining Dentin Thickness#807692
- Derivation of a Clinical Decision Rule for Emergency Department Head CT Scanning in Seniors Who Have Fallen#802426
- A Multicenter, Randomized Study of Early Assessment by CT Scanning in Severely Injured Trauma Patients#854169
- Ultrasound Analysis of Suspected Long Bone Fractures in the Emergency Department - Diagnostic Performance Compared to Radiography.#1138199
Record · ID 913442
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