ClinicalTrials.gov
public full text
Public Domain
Community Hospital Identification of High CV Risk Patients During Cancer Treatment
The overall of this proposal is to test in community hospitals the utility of a 10-min magnetic resonance imaging (MRI) scan protocol combined with proprietary image analysis algorithms for detecting early cardiovascular (CV) injury during receipt of chemotherapy for breast cancer (BrC) and lymphoma. This technology provides health-care delivery systems with a time-efficient method to identify those at risk of a future CV event so that prevention can be implemented to prolong survival and reduce morbidity in cancer survivors.
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 UHSM Cardiovascular Magnetic Resonance Study#981053
- ThyroidEffi 1.0: A Cost-Effective System for High-Performance Multi-Class Thyroid Carcinoma Classification#1063750
- Artificial Intelligence - SARS-CoV-2 (COVID-19) Risk Evaluation#1164031
- Cardiovascular image analysis: AI can analyze heart images to assess cardiovascular health and identify potential risks#87535
- CarDiac MagnEtic Resonance for Primary Prevention Implantable CardioVerter DebrillAtor ThErapy: an International Registry (DERIVATE)#1153045
Record · ID 910286
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