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No prior studies have stratified the difficulty of transoral and submental thyroidectomy (TOaST). The investigators aimed to investigate preoperative factors as indicators of difficult TOaSTs and to develop a predictive model accordingly.
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Thyroid cancer is the most common endocrine malignancy, with a female predominance. Thyroidectomy is the main treatment for thyroid cancer, and considering the good prognosis of thyroid cancer, endoscopic thyroid surgery, which avoids neck incision, is being widely used in the clinic in order to improve the life treatment of patients. Among them, endoscopic thyroidectomy with transoral approach has a shorter learning curve because of the short surgical path. However, due to the complex structure of the neck, small space, and rich blood supply of the thyroid gland, surrounded by parathyroid glands and important nerves, endoscopic thyroid is difficult and has a long learning curve. In addition, a series of complications such as haemorrhage, hypoparathyroidism and laryngeal reentrant nerve injury can seriously affect the quality of patient survival. Difficult thyroidectomy is usually characterized by a long operative time, high intraoperative bleeding and a high incidence of postoperative complications. According to the literature, in open thyroid surgery, the degree of difficulty is associated with factors such as goiter, inflammation, and hyperthyroidism. However, the degree of difficulty of thyroidectomy due to various factors varies and is difficult to predict. Surgical difficulty is closely related to the outcome and safety of thyroidectomy, which is an urgent concern for surgeons. And there is no study on the degree of difficulty of transoral and submental endoscopic thyroidectomy, therefore, there is an urgent need for an effective and objective method to determine the preoperative factors affecting the degree of surgical difficulty and to establish a model for validation, so that it can be subsequently replicated in other hospitals.
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500 participants in 2 patient groups
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Ling Zhan, Doctor
Data sourced from clinicaltrials.gov
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