Azhar Yohana, Dewayani Birgitta M, Lukman Kiki
Department of Surgery, Hasan Sadikin General Hospital, Faculty of Medicine, Padjadjaran University, Indonesia, Bandung, Indonesia.
Department of Pathology Anatomy, Hasan Sadikin General Hospital, Faculty of Medicine, Padjadjaran University, Indonesia, Bandung, Indonesia.
F1000Res. 2023 Aug 29;11:740. doi: 10.12688/f1000research.122408.2. eCollection 2022.
: Sentinel lymph node biopsy (SLNB) is now the gold standard for early breast cancer with clinically negative lymph nodes (N0). According to the Indonesian Board-Certified oncologist surgeon, the learning curve for evaluating fellow breast surgeons to achieve this competency could have been shorter due to the COVID-19 pandemic. This study aims to see if the learning curve for sentinel lymph node (SLN) identification can be shortened. : Trainee breast surgeons were taught to perform SLNB on breast cancer patients. Intraoperative assessment and completion of axillary lymph node dissection (ALND) were performed in the first setting for standardization with the attending surgeon. Sentinel lymph node identification was plotted on cumulative sum chart (CUSUM) limitations for evaluating the variability competency between the attending and trainee surgeons based on a target identification rate of 85%. : We concluded that CUSUM charts are the best tools currently available for assessing psychomotor learning SLNB. According to a CUSUM chart based on a reasonable set of parameters, the learning curve for SLNB using methylene blue dye is reached after 4-5 consecutive positively detected SLN. CUSUM Chart showed that experienced breast surgeons have completed the SLNB learning curve after 4-5 successful methylene blue attempts. In the future, this learning curve analysis can be applied to trainee breast surgeons by utilizing a proxy measure for failure, such as failure to identify the SLN.
前哨淋巴结活检(SLNB)现已成为临床腋窝淋巴结阴性(N0)早期乳腺癌的金标准。据印度尼西亚获得委员会认证的肿瘤外科医生称,由于新冠疫情,乳腺外科医生同行掌握这项技术的学习曲线本可以更短。本研究旨在观察前哨淋巴结(SLN)识别的学习曲线是否可以缩短。
培训乳腺外科医生对乳腺癌患者进行SLNB。在首次操作中进行术中评估并完成腋窝淋巴结清扫(ALND),以便与主刀医生的操作进行标准化对比。根据85%的目标识别率,将前哨淋巴结识别情况绘制在累积和控制图(CUSUM)上,以评估主刀医生和实习医生之间的操作能力差异。
我们得出结论,CUSUM图是目前评估SLNB操作技能学习情况的最佳工具。根据基于合理参数集的CUSUM图,连续4 - 5次成功检测到前哨淋巴结后,使用亚甲蓝染料进行SLNB的学习曲线即可达到。CUSUM图显示,经验丰富的乳腺外科医生在4 - 5次成功使用亚甲蓝后完成了SLNB的学习曲线。未来,通过采用诸如未能识别前哨淋巴结等失败的替代指标,这种学习曲线分析可应用于乳腺外科实习医生。