ClinicalTrials.gov
public full text
Public Domain
Pilot Study to Determine Radioiodide Accumulation and Dosimetry in Breast Cancers Using 124I PET/CT
This is a pilot imaging study for women whose tumors express NIS \[Na+I- symporter, sodium iodide symporter\]. Eligibility is limited to the presence of strong (3+) and/or plasma membrane staining in \> 20% of cells as determined by immunohistochemical methods. A total of 10 patients will be imaged with 124I PET/CT (serial scans over 24 hour period) to determine radioiodide uptake and distribution in tumor tissue. Thyroid iodide uptake and retention will be blocked beginning one week prior to 124I PET/CT scan with thyroid hormone (T3) and methimazole (impedes organification). Tumor, organ and whole body dosimetry will be calculated in each patient.
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
- Radioactive Iodide (131I) Treatment of 124I PET/CT Detected Breast Cancers#855471
- Comparison of I-124 and I-131 Radiopharmacokinetics in DTC Patients With Thyroid Hormone Withdrawal#1073187
- Lesion Dosimetry With Iodine-124 in Metastatic Thyroid Carcinoma#1102621
- Tumor Kinase Inhibitor Concentrations Measured by PET#1029835
- A Phase I Study of TAS-102 in Patients With Advanced Gastrointestinal Tumors.#847384
Record · ID 888616
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