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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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131 people
The number who actually took part.
- Started
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Apr 2024
- Finished
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Oct 2024
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Adults diagnosed with clinically node-negative papillary thyroid carcinoma (cN0-PTC) who are scheduled to undergo surgical treatment at the Department of Breast and Thyroid Surgery, First Affiliated Hospital of Chongqing Medical University, Chongqing, China. Participants are identified through routine clinical care and preoperative evaluation. The study population includes patients with primary PTC confirmed by fine-needle aspiration biopsy who have no evidence of lymph node metastasis on preoperative ultrasound or other imaging studies. Both male and female adults aged 18 years and older are eligible regardless of tumor size, location, or genetic mutation status.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Age 18 years or older at the time of enrollment 2. Histologically confirmed papillary thyroid carcinoma (PTC) by preoperative fine-needle aspiration biopsy 3. Clinically node-negative (cN0) status confirmed by preoperative imaging (ultrasound and/or cross-sectional imaging showing no evidence of lymph node metastasis) 4. Scheduled to undergo thyroid surgery with simultaneous central lymph node dissection 5. Willing and able to provide written informed consent 6. Complete preoperative clinical data available, including: * Demographic information (age, sex, body mass index) * Thyroid ultrasound report with detailed tumor characteristics * Fine-needle aspiration biopsy pathology report * Genetic testing results (when available) 7. Able to undergo intraoperative dual-tracer sentinel lymph node mapping with near-infrared fluorescence video recording Exclusion Criteria: 1. History of previous neck surgery (including thyroid surgery, parathyroid surgery, or other cervical operations) 2. History of external beam radiotherapy to the head and neck region 3. Diagnosis of thyroid malignancy other than papillary thyroid carcinoma (e.g., follicular thyroid carcinoma, medullary thyroid carcinoma, anaplastic thyroid carcinoma, or thyroid lymphoma) 4. Known allergy or hypersensitivity to indocyanine green (ICG), iodine, or carbon nanoparticles 5. Severe hepatic insufficiency (ICG is metabolized by the liver) 6. Pregnancy or breastfeeding 7. Incomplete medical records or missing essential preoperative data 8. Refusal to undergo dual-tracer imaging procedure 9. Inability to obtain satisfactory intraoperative near-infrared fluorescence video recording due to technical issues or poor image quality 10. Participation in another interventional clinical trial that may interfere with the current study 11. Any condition that, in the investigator's opinion, would compromise the participant's safety or the quality of the study data
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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
-
The First Affiliated Hospital of Chongqing Medical University
Chongqing, 400016, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- New thyroid test aims to cut unnecessary surgeries