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The incidence of thyroid cancer has increased worldwide during the last decade, becoming the most common endocrine malignancy and accounting for 3.8% of new cancer diagnosis. Surgical resection, namely conventional thyroidectomy, remains at the frontline of therapy, as surgical outcomes are undoubtedly successful. Minimally invasive techniques gained popularity through the years, in terms of feasibility, safety, and cosmesis. However, endoscopic approach could be characterized by some limitations concerning thyroid surgery. Robotic technology with its unique features was introduced to overcome these limitations. Since then, robotic thyroidectomy has been used for both benign and malignant thyroid disease. This study presents the use of robot-assisted transaxillary thyroidectomy in well-differentiated thyroid carcinoma through an extensive review of the literature in the PubMed database, including previous meta-analyses and case series. In terms of oncological efficacy, morbidity, and quality of life, outcomes seem comparable in thyroid cancer patients undergoing either open or robotic thyroidectomy. Surgical completeness also appears similar. Moreover, the rates of locoregional recurrence and survival outcome at 5 years are similar between the former and the latter, thus confirming the oncological value of robotic thyroidectomy for differentiated thyroid cancer. In order for more surgeons to adopt robotic approaches several issues need to be resolved, namely: expansion of robotic thyroidectomy in treating larger well-differentiated carcinomas and neck dissection, equipment costs, and prolonged operation times. © 2021 by SLS, Society of Laparoscopic & Robotic Surgeons.

Citation

Efstathios T Pavlidis, Kyriakos K Psarras, Nikolaos G Symeonidis, Eirini-Chrysovalantou K Martzivanou, Christina C Nikolaidou, Kalliopi E Stavrati, Theodoros E Pavlidis. Robot-Assisted Thyroidectomy Versus Open Thyroidectomy in the Treatment of Well Differentiated Thyroid Carcinoma. JSLS : Journal of the Society of Laparoendoscopic Surgeons. 2021 Jul-Sep;25(3)

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PMID: 34354333

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