Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan.
Department of Traumatology, National Taiwan University Hospital, Taipei, Taiwan.
Front Endocrinol (Lausanne). 2021 Oct 21;12:744359. doi: 10.3389/fendo.2021.744359. eCollection 2021.
Intraoperative neuromonitoring has not been routinely applied in early experience with the transoral endoscopic thyroidectomy vestibular approach (TOETVA). Because the preparation and surgical interventions are much different from conventional thyroidectomies, most endocrine surgeons willing to adapt to TOETVA lack access to information regarding the practice pattern and proficiency in the learning curve. We aimed to investigate the outcomes and to define the learning curve for TOETVA in this study.
A retrospective analysis was used on patients who underwent TOETVA at our hospital between December 2016 and July 2019. The cumulative sum graphic model was used to implement the learning curve as a surrogate for procedural proficiency.
The 119 patients had a mean age of 44.65 years and a mean body mass index of 22.49 k/m, including 107 women, 20 thyroiditis, and 106 hemithyroidectomy. The learning curve revealed two phases, an initial (35 cases) and a mature (84 cases) phase, for surgeons based on operation time (144.2 . 114.2 min, = 0.0001). There were more bilateral thyroidectomies (15.5% . 0, = 0.0100), larger indicated nodules (6.06 cm. 3.32 cm, = 0.0468), or larger thyroids to resect (16.38 cm. 8.75 cm, = 0.0001) in the mature phase. Procedure-related complications decreased significantly in the mature phase in comparison to the initial phase (3.57% . 31.43%, = 0.0001).
The learning curve of TOETVA with neuromonitoring is 35 cases. With the accumulation of proficiency, the indications will expand. Step-by-step improvements from the experience of each case can reduce procedure-related complications.
术中神经监测在经口内镜甲状腺切除术前庭入路(TOETVA)的早期经验中尚未常规应用。由于准备和手术干预与传统甲状腺切除术有很大不同,大多数愿意适应 TOETVA 的内分泌外科医生都无法获得有关实践模式和学习曲线熟练程度的信息。我们旨在研究 TOETVA 的结果并定义其学习曲线。
对 2016 年 12 月至 2019 年 7 月在我院接受 TOETVA 的患者进行回顾性分析。使用累积和图形模型来实施学习曲线,作为程序熟练程度的替代指标。
119 例患者的平均年龄为 44.65 岁,平均体重指数为 22.49 k/m,其中 107 例为女性,20 例为甲状腺炎,106 例为半甲状腺切除术。根据手术时间(144.2 分钟至 114.2 分钟, = 0.0001),学习曲线揭示了两个阶段,一个是初始阶段(35 例),一个是成熟阶段(84 例)。成熟阶段双侧甲状腺切除术(15.5%至 0, = 0.0100)、更大的指示性结节(6.06 厘米至 3.32 厘米, = 0.0468)或更大的甲状腺需要切除(16.38 厘米至 8.75 厘米, = 0.0001)的情况更多。与初始阶段相比,成熟阶段与手术相关的并发症显著减少(3.57%至 31.43%, = 0.0001)。
带神经监测的 TOETVA 的学习曲线为 35 例。随着熟练度的提高,适应证将会扩大。从每个病例的经验中逐步改进可以减少与手术相关的并发症。