ClinicalTrials.gov
public full text
Public Domain
PET (FDG)-MR Imaging for the Adult Patients Presented With Brain Tumor
Background and purpose: In adult, the half of the CNS neoplasms are metastatic, and high grade astrocytomas and oligodendrogliomas are most frequent malignant tumors among the last half. Recently, integrated MRI-PET (Biograph mMR, Siemens, Germany) was introduced, and can provide simultaneous whole body MRI-PET imaging as well as brain-specific advanced imaging (e.g. DWI, PWI, and DCE). The purpose of the present study is to evaluate whether the simultaneous MRI-PET acquisition can improve the diagnostic yield for the patients initially presented with brain tumors, and predict the prognosis in the patients diagnosed with primary high graded astrocytoma or oligodendroglioma.
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
- Prospective Comparison Between FDG-PET/MR and FDG-PET/CT in Classical Hodgkin Lymphoma and DLBC Non-Hodgkin Lymphoma#842611
- PET-CT vs. Integrated MR-PET Scanning of GYN Cancers#909977
- Dual Time Point FDG PET/MRI Scan in Improving the Imaging Cancer Patients With Brain Metastases#860300
- What approach to brain partial volume correction is best for PET/MRI?#1090654
- Evaluating Sunitinib Therapy in Renal Cell Carcinoma Using F-18 FDG PET/CT and DCE MRI#841458
Record · ID 804921
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