Using AI to help detect parathyroid glands during thyroid surgery

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to develop a deep convolutional neural network (DCNN) to assist surgeons in detecting the parathyroid gland (PTG) during endoscopic thyroidectomy. The study will utilize a large sample of endoscopic images to train the DCNN, which will also predict blood perfusion of the PTG by comparing its results to indocyanine green fluorescence angiography. The goal is to improve surgical outcomes and reduce the risk of postoperative hypoparathyroidism by enhancing the detection and preservation of the PTG's blood supply.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* The patients who undergo endoscopic thyroidectomy

Exclusion Criteria:

* hyperparathyroidism
* hypoparathyroidism
* neck surgery history
* cervical radiotherapy history

Where it's running

• Sun Yat-sen Memorial Hospital
  Guangzhou, Guangdong, China Recruiting

Study contacts

• Principal investigator: Peiliang Lin, M.D. — Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
• Study coordinator: Peiliang Lin, M.D.
• Email: linpliang3@mail.sysu.edu.cn
• Phone: 0086-020-34071439

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Other studies for the same condition or treatment. Recruiting studies are listed first.

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.