Plain-English translation of NCT07050576 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing a new computer-based tool that analyzes CT scan images to predict whether early-stage esophageal squamous cell carcinoma has spread to nearby lymph nodes. This tool uses artificial intelligence to find patterns in imaging that doctors might miss with the naked eye. If successful, it could help doctors make more accurate treatment decisions without needing invasive procedures.
Knowing whether cancer has spread to lymph nodes is crucial for deciding how to treat esophageal cancer and predicting outcomes. Currently, doctors must sometimes perform procedures to check for this spread. This research aims to create a non-invasive way to make this prediction, so patients can get the right treatment faster and with fewer procedures.
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If you join this study, your existing CT scans and medical records will be analyzed using the new artificial intelligence tool — you won't need to have extra scans or procedures. Researchers from one hospital will use 400 patients' data to develop and test the tool, and then doctors from another center will validate it using 100 additional patients' information. Your participation involves allowing your imaging data to be used to help improve cancer care for future patients.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
China
Sponsor
The First Affiliated Hospital of Anhui Medical University
Enrollment target
~500 participants
Started
May 2024
Primary completion
October 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Last updated on clinicaltrials.gov in July 2025.
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Central contact
Hao Zheng, MD
The First Affiliated Hospital of Anhui Medical University
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.