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1.
Chinese Journal of Endocrine Surgery ; (6): 120-123, 2023.
Artigo em Chinês | WPRIM | ID: wpr-989908

RESUMO

In recent years, clinical applications of robotic thyroid surgery have been gradually promoted with the continuous improvement of the da Vinci robotic surgical system. Unlike traditional open surgery, robotic thyroid surgery mainly adopts remote access, which has many advantages, such as magnified high-definition 3D view and hand vibration stabilization. The rates and causes of postoperative complications differ due to different approaches, view angles, and operation sequences. This paper presents the literature on both transoral and bilateral areolar axillary approaches in robotic thyroid surgery, focusing on five common complications under both approaches, including laryngeal recurrent nerve injury and hypoparathyroidism, to provide theoretical support for the standardization of robotic thyroid surgery.

2.
Chinese Journal of Endocrine Surgery ; (6): 126-128, 2022.
Artigo em Chinês | WPRIM | ID: wpr-930300

RESUMO

Robotic surgical systems are gradually being used in minimally invasive surgery with their advantages of high-definition magnified 3D images, stable surgical field and flexible operation. The change of surgical approach and the narrow operating space in robotic thyroid surgery have made it more difficult to identify and protect the laryngeal nerve, and the application of nerve monitoring has been limited. Many researchers have attempted to improve the monitoring equipment and probe placement to make intraoperative neuromonitoring techniques work well in robotic thyroid surgery. In this paper, we seek effective ways to protect the laryngeal nerve in robotic thyroid surgery, and lay the foundation for a more minimally invasive and standardized development of this technology.

3.
Chinese Journal of Endocrine Surgery ; (6): 396-400, 2022.
Artigo em Chinês | WPRIM | ID: wpr-954607

RESUMO

Objective:To investigate the clinical effectiveness of da Vinci robotics in thyroid surgery.Methods:304 cases of robotic thyroid surgery performed by the same experienced surgeon at the Department of Thyroid Surgery, China-Japan Union Hospital of Jilin University during the period from Apr. 3, 2020 to Nov. 5, 2021 were prospectively included, and the operation time, operation type, postoperative drainage, postoperative hospital stay, total number of lymph node dissection and number of positive lymph nodes, operation complications, and postoperative pain level of all patients were counted. The learning curve was plotted by applying the moving average method, divided into the initial stage and the mature stage, and the differences in surgical outcomes and surgical complications between the two stages were compared. SPSS 23.0 was applied for statistical analysis, and t-test and Mann-Whitney U test were used for comparison of measurement data, and χ2 test was used for comparison of count data. Result:All surgeries were completed successfully without conversion to open cases, including 29 males and 275 females, with a mean age of (33.8±8.9) years and a range of 27-41 years. The mean body mass index (BMI) was (22.9±3.6) kg/m 2 and a range of 20.5-25.4 kg/m 2. The median operative time was 140 min, the median postoperative drainage was 52.5 ml, and the median postoperative hospital stay was 3 days. The mean number of lymph nodes cleared was 4.4±3.5, and the mean number of positive lymph nodes was 0.9±1.7. The incidence of postoperative transient laryngeal nerve (RLN) injury was 3.3%, and the incidence of transient hypoparathyroidism was 0.7%. A significant decrease in operative time occurred after the 26th case and subsequently stabilized. Compared with the initial stage of the learning curve, the mature stage had a shorter operative time (146.0±36.5 vs 198.7±56.7 min, P<0.001) , a lower incidence of temporary RLN injury (2.5% vs 11.5%, P<0.05) , and a lower percentage of benign tumor surgery (12.2% vs 26.9%, P<0.05) . Conclusion:The application of robotic technology in thyroid surgery is safe and reliable, and its successful implementation should follow a corresponding learning curve, from easy to difficult, with different surgical approaches selected according to the patient’s condition, wishes, and the operator’s technical level.

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