Deep learning tool to diagnose post-radiation nasopharyngeal changes
Part of Cancer, Ear, nose & throat, Infections, Mouth & dental clinical trials.
This trial tests a new computer-based tool (deep learning) to help diagnose a condition called sbORN (suspected benign or recurrent nasopharyngeal carcinoma) after radiation therapy. It aims to see if the tool can accurately tell if a suspicious spot is a recurrence or something harmless.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You are 18 years or older.
- You have a history of a specific type of nasopharyngeal cancer (nonkeratinizing undifferentiated).
- You have received high-dose radiation therapy to the nasopharynx.
- Your cancer was completely gone 6 months after radiation (complete remission).
- You do not have cancer spread to distant organs.
- You are willing to have a biopsy (tissue sample) and blood tests, including EBV DNA and other markers.
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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