Gasless Single-Incision Endoscopic Surgery via Subclavicular Approach for Lateral Neck Dissection in Patients with Papillary Thyroid Cancer

Annals of Surgical Oncology(2024)

引用 1|浏览2
暂无评分
摘要
Background The technical difficulties and trauma of remote access methods in endoscopic surgery (ES) for lateral neck dissection (LND) can be daunting for most patients with papillary thyroid cancer (PTC) and surgeons. The purpose of study was to introduce gasless single-incision ES via a subclavicular approach (ESSA) and to explore its safety and efficacy for LND. Methods Between January 2022 and February 2023, we retrospectively reviewed 17 patients with PTC who underwent ESSA for LND. In addition, 22 patients who received video-assisted ES (VAES) and 48 patients who underwent open surgery (OP) for LND during the same period were included. Clinicopathological characteristics, complications, and efficacy of the lymph node yield (LNY) were compared between the ESSA and the other two groups (VAES and OP). Results The LNY from central and lateral neck dissection by ESSA was comparable to that by VAES (9.2 ± 8.1 vs. 9.5 ± 4.2, P = 0.986, and 33.5 ± 11.6 vs. 30.6 ± 9.2, P = 0.382, respectively) and OP (9.2 ± 8.1 vs. 11.0 ± 5.4, P = 0.420, and 33.5 ± 11.6 vs. 31.5 ± 7.9, P = 0.383, respectively). Swallowing impairment scores at 1 and 3 months were significantly lower after ESSA than those after VAES (1.8 ± 1.0 vs. 3.0 ± 1.2, P = 0.003, and 0.9 ± 0.8 vs. 1.7 ± 0.8, P = 0.006, respectively). The cosmetic satisfaction rate 1 month after surgery was significantly higher in the ESSA group than that in the VAES group (100 vs. 31.8%, P < 0.001). Conclusions ESSA is a safe and minimally invasive procedure that provides a scarless cervical appearance and has good efficacy for LND. Therefore, ESSA may be a feasible choice for selected patients with N1b PTC with cervical cosmetic needs.
更多
查看译文
关键词
Endoscopic surgery,Lateral neck dissection,Subclavicular approach,Lymph node yield,Minimally invasive,Cervical cosmetic outcome
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要