Actively Recruiting
DCNN Developed for Detection and Assessing the Perfusion of PTG
Led by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Updated on 2025-12-03
300
Participants Needed
1
Research Sites
172 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Since the anatomical location and appearance of the parathyroid gland (PTG) vary, detection of the PTG and preserving the blood supply are among the difficulties encountered during a thyroidectomy procedure. We are planning to train a deep convolutional neural network based on a larger sample of endoscopic images to develop a model to assist surgeons in detection of PTG during endoscopic thyroidectomy. Furthermore, we would like to train a DCNN to predict blood perfusion based on endoscopic images comparing to indocyanine green fluorescence angiography as reference standard, and assess the performance of DCNN in predicting postoperative hypoparathyroidism.
CONDITIONS
Official Title
DCNN Developed for Detection and Assessing the Perfusion of PTG
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients who will undergo endoscopic thyroidectomy
You will not qualify if you...
- History of hyperparathyroidism
- History of hypoparathyroidism
- Previous neck surgery
- Previous cervical radiotherapy
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Sun Yat-sen Memorial Hospital
Guangzhou, Guangdong, China, 510000
Actively Recruiting
Research Team
P
Peiliang Lin, M.D.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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