ClinicalTrials.gov
public full text
Public Domain
MRI Predictors of Response to Tumor Treating Fields
Patients with glioblastoma, an aggressive brain tumor, are recommended to undergo treatment with tumor treating fields using the Optune device as part of standard of care therapy. While undergoing treatment, patients are monitored regularly with brain MRI scans to look for tumor progression, but there are currently no means to predict which, or when, patients will progress. The purpose of the current study is to prospectively analyze these MRI scans to look for subtle imaging markers that can predict for future brain tumor progression while undergoing tumor treating field therapy.
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
- Glioblastoma in adults: A Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions.#450043
- Mitigating gradient conflicts for multi-task glioma phenotyping and grading via implicit regularization#468383
- Evaluation of Human Brain Tumor Therapy Response by Magnetic Resonance (MR)#827188
- Effectiveness of MR-guided LITT Therapy in Irresectable Glioblastoma (EMITT)#889272
- Tipifarnib and Radiation Therapy in Treating Patients With Newly Diagnosed Glioblastoma Multiforme#1171285
Record · ID 1057253
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