Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Feasibility of CBCT-Guided Online Adaptive Radiotherapy (FASCINATE)

The Netherlands Cancer Institute · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
bladder-cancercervical-cancerhead-and-neck-cancerlung-cancernaprostate-cancer
The accuracy of radiotherapy can be increased by correcting for geometric uncertainties and changes between radiotherapy fractions. These corrections are currently done with online adaptive treatment on a specialized linear accelerator (linac) for a small subset of patients. However, patients currently treated on a standard linac could also benefit from online adaptive radiotherapy. The objective is to determine the feasibility of online CBCT-guided adaptive radiation therapy on a standard Elekta linac.
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

Record · ID 1161343
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