Condition: Thyroidectomy · Sponsor: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
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.
This description comes directly from the study's public registry record.
Peiliang Lin, M.D. · 0086-020-34071439 · linpliang3@mail.sysu.edu.cn
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| Sun Yat-sen Memorial Hospital | Guangzhou, Guangdong, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05869058