ClinicalTrials.gov
public full text
Public Domain
Diagnostic Accuracy of Multiparametric Dynamic Contrast Enhanced Magnetic Resonance Imaging in Improving Detection of Ultrasound Non-mass Breast Lesions According to ACR BI-RADS v2025
this study aims To evaluate the diagnostic performance of Ultrasound (US) in correlation with Dynamic Magnetic Resonance Imaging (MRI) for the assessment, characterization, and evaluation of non-mass breast lesions. The study will investigate whether DCE-MRI improves lesions detected by characterization and diagnostic accuracy when interpreted according to the ACR BIRADS v 2025 and so may help optimize breast imaging evaluation and support clinical decision making
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
- Multi-site observational evaluation of Breast AI™-supported ultrasound risk stratification in breast cancer assessment pathways#928031
- Axillary Staging in Early Breast Cancer: SNB vs PET/MRI#1009838
- Contrast-Enhanced Ultrasound for the Prediction of Bile Duct Cancer Response to Radioembolization Treatment#882620
- Sustainability of contrast-enhanced breast imaging: a review of current evidence.#284977
- Sustainability of contrast-enhanced breast imaging: a review of current evidence#279400
Record · ID 1171120
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