Dual-Channel Near-Infrared Autofluorescence Imaging and AI Analysis to Locate Parathyroid Glands (PTFinder)
A Multicenter Prospective Paired Observational Study Evaluating the Performance of the PTFinder Dual-Channel Near-Infrared and White-Light Imaging System With AI-Assisted Analysis for Rapid Identification of Parathyroid Glands in Surgical Specimens
About This Trial
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.
Who May Be Eligible (Plain English)
Original Eligibility Criteria
View original clinical language
Treatments Being Tested
PTFinder Dual-Channel NIR Autofluorescence Imaging System
Ex vivo, non-contact imaging of resected thyroid/parathyroid specimens; captures near-infrared autofluorescence and overlays it on white-light video to highlight parathyroid glands (2-5 min per specimen).
Offline Machine-Learning Algorithm (PTFinder-AI Beta)
training/validation on de-identified NIR/RGB frames.