Dual-Channel Near-Infrared Autofluorescence Imaging and AI Analysis to Locate Parathyroid Glands (PTFinder)
Recruiting now
Conditions studied: Thyroid Neoplasms, Hyperparathyroidism, Parathyroid Gland
In brief
This study tests PTFinder, a dual-camera system that makes parathyroid glands glow on screen by capturing their natural near-infrared autofluorescence. After a thyroid or parathyroid operation, the removed tissue is scanned with PTFinder and then checked again under normal white light. We will measure how fast (seconds) and how accurately the device finds real glands, confirmed by frozen pathology or a rapid PTH strip. About 180 adult patients at three Chinese hospitals will join. The imaging adds only a few minutes and does not change any part of the surgery. We will also record blood calcium and PTH at 1 h, 24 h, and 7 d after surgery to see whether better gland recovery lowers low-calcium risk.Collected images will also be used to train and test a deep-learning model for fully automated parathyroid recognition; model performance metrics constitute secondary outcomes.
Key facts
- Study ID
- NCT07010380
- Run by
- Bo Wang,MD
- People needed
- 180
- Starts
- 2025-06-01
- Expected to finish
- 2029-12-31
- Last updated by the study team
- 2025-06-18
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age ≥18 years.
- Scheduled for elective total thyroidectomy, hemithyroidectomy, or parathyroidectomy with removal of thyroid/parathyroid tissue.
- Able and willing to provide written informed consent for participation and specimen imaging.
You may not qualify if…
- History of neck irradiation or prior neck surgery that may distort parathyroid anatomy.
- Pregnancy or breastfeeding.
- Confirmed or suspected parathyroid carcinoma, or thyroid carcinoma requiring en-bloc parathyroid resection.
- Inability to understand the study procedures or to comply with follow-up.
Where it is running
- Fujian Medical University Union Hospital — Fuzhou, FJ, China (enrolling)
Full record on ClinicalTrials.gov
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