AI tool aims to sharpen esophageal cancer staging
NCT ID NCT07251114
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests an artificial intelligence system that assists doctors in determining how deep early esophageal cancer has spread, using endoscopic ultrasound images. The goal is to improve the accuracy of preoperative staging, which helps guide treatment decisions. Researchers will enroll 200 participants and compare the AI-assisted grading with actual pathology results after surgery. The study also tracks survival and cancer progression over three years.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence system (device)
- What this could lead to
- If successful, this AI tool could help doctors more accurately stage early esophageal cancer, leading to better treatment choices and potentially improved survival rates.
- What could go wrong
- This is an early-stage study with 200 participants, so results may not apply to all patients. The AI system may not always match the accuracy of standard pathology, and its impact on long-term outcomes is still unknown.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Affiliated Hospital of Putian University
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
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Fujian provincial hospital
RECRUITINGFuzhou, Fujian, 350001, China
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Putian First Hospital
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
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Putian Hospital of Traditional Chinese Medicine
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
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Xianyou County General Hospital
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
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