Current and Future of Robotic Surgery in Thyroid Cancer Treatment

被引:2
|
作者
Park, Joonseon [1 ]
Kim, Kwangsoon [1 ]
机构
[1] Catholic Univ Korea, Coll Med, Dept Surg, Seoul 06591, South Korea
关键词
robotic thyroidectomy; transaxillary; transoral; BABA; conventional open thyroidectomy; comparison analysis; RADICAL NECK DISSECTION; CONVENTIONAL OPEN THYROIDECTOMY; SURGICAL OUTCOMES; LEARNING-CURVE; ENDOSCOPIC THYROIDECTOMY; UNITED-STATES; TRANSAXILLARY THYROIDECTOMIES; ASSISTED THYROIDECTOMY; POSTOPERATIVE PAIN; CONSECUTIVE SERIES;
D O I
10.3390/cancers16132470
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary By synthesizing the latest research and clinical data, this review underscores the transformative potential of robotic surgery in thyroid cancer management and identifies key areas for further research to optimize patient outcomes. Our aim is to enhance the discourse on improving surgical care for thyroid cancer patients and to pave the way for future innovations in the field.Abstract Thyroid cancer is among the most common endocrine malignancies, necessitating effective surgical interventions. Traditional open cervicotomy has long been the standard approach for thyroidectomy. However, the advent of robotic surgery has introduced new possibilities for minimally invasive procedures with benefits in terms of cosmetic outcomes, enhanced precision, comparable complication rates, and reduced recovery time. This study mainly reviewed the most widely used and well-known robotic thyroidectomy approaches: the transaxillary approach, the bilateral axillo-breast approach, and the transoral approach. This review examines the current status and future potential of robotic surgery in thyroid cancer treatment, comparing its efficacy, safety, and outcomes with those of conventional open cervicotomy. Challenges such as a longer operative time and higher costs exist. Future directions include technological advancements, tele-surgery, single-port surgery, and the integration of artificial intelligence. Robotic surgery holds promise in optimizing patient outcomes in thyroid cancer treatment.
引用
收藏
页数:16
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