DCNN Developed for Detection and Assessing the Perfusion of PTG
Recruiting now
Conditions studied: Thyroidectomy
In brief
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.
Key facts
- Study ID
- NCT05869058
- Run by
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- People needed
- 300
- Starts
- 2023-06-13
- Expected to finish
- 2026-10-01
- Last updated by the study team
- 2025-12-03
Who can join
Age: 18 and older, up to 70. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- The patients who undergo endoscopic thyroidectomy
You may not qualify if…
- hyperparathyroidism
- hypoparathyroidism
- neck surgery history
- cervical radiotherapy history
Where it is running
- Sun Yat-sen Memorial Hospital — Guangzhou, Guangdong, China (enrolling)
Full record on ClinicalTrials.gov
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