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.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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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
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Affiliated Hospital of Putian University
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Fujian provincial hospital
RECRUITINGFuzhou, Fujian, 350001, China
Contact
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
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Putian First Hospital
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
Contact
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Putian Hospital of Traditional Chinese Medicine
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
Contact
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Xianyou County General Hospital
NOT_YET_RECRUITINGPutian, Fujian, 351100, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact