AI watches dye flow to predict cancer spread in thyroid surgery
NCT ID NCT07391514
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times
Summary
This study tested whether a computer program (deep learning) can predict if papillary thyroid cancer has spread to lymph nodes beyond the first draining node. During surgery, 131 adults with no signs of lymph node spread received injections of two dyes near the tumor. A camera recorded how the dyes moved through lymph nodes, and researchers analyzed the videos along with other medical data. The goal is to help surgeons decide how much tissue to remove, but the approach is still experimental.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Indocyanine green (ICG) dye and carbon nanoparticles
What this could lead to
If successful, this could help surgeons decide how much tissue to remove during thyroid cancer surgery, potentially reducing unnecessary lymph node removal.
What could go wrong
This is a completed observational study with 131 participants, so results are preliminary. The computer predictions may not be accurate enough for routine use, and the technique requires special equipment and training.
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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Locations
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The First Affiliated Hospital of Chongqing Medical University
Chongqing, 400016, China