Christodoulou Maria, Pattilachan Tara M, Sucandy Iswanto, Thompson Jared, Ross Sharona B
Foregut and HPB Division, Digestive Health Institute Advent Health Tampa, 3000 Medical Park Drive, Suite #500, Tampa, FL, USA.
J Robot Surg. 2025 Jul 11;19(1):376. doi: 10.1007/s11701-025-02553-5.
Robotic pancreaticoduodenectomy (PD) has emerged as a leading approach in complex pancreatic surgery, but the path to proficiency is steep. While early learning curve assessments are available for simpler robotic procedures, few studies quantify the extended time and caseload needed to achieve consistency and mastery in robotic PD.
With IRB approval, we prospectively followed 435 patients who underwent robotic PD between 2013 and 2024. The learning curve was assessed using Cumulative Sum (CUSUM) analysis based on operative time. Data are presented as median (mean ± SD), and statistical significance was set at p ≤ 0.05.
CUSUM analysis identified the turning point for consistent procedural proficiency at 88 cases. Patient characteristics included a median age of 70 (68 ± 10.9) years, BMI of 27 (27 ± 5.1) kg/m, and a predominance of males (54%). A total of 253 patients (58%) had previous abdominal surgery, 36 (8%) had undergone neoadjuvant therapy, and average ASA class and Charlson Comorbidity Index were 3 (± 3) and 5 (± 1.5), respectively. Over time, operative efficiency translated into improved outcomes: unplanned conversions to open surgery declined significantly (p < 0.0001), estimated blood loss decreased (p = 0.04), and hospital stays shortened (p = 0.008). Interestingly, despite growing proficiency, operative times increased (p < 0.0001), reflecting a shift toward more technically demanding cases. A significant rise was also observed in the proportion of patients with prior abdominal surgeries treated after the learning curve milestone (p = 0.007).
True mastery in robotic PD demands extended experience, with significant procedural gains occurring after the 88-case mark. This extended learning curve should be acknowledged when designing training programs and evaluating surgical outcomes in robotic pancreatic surgery.
机器人胰十二指肠切除术(PD)已成为复杂胰腺手术的主要方法,但熟练掌握该技术的道路崎岖。虽然对于较简单的机器人手术已有早期学习曲线评估,但很少有研究量化在机器人PD手术中实现一致性和精通所需的延长时间和病例数量。
经机构审查委员会(IRB)批准,我们前瞻性地跟踪了2013年至2024年间接受机器人PD手术的435例患者。使用基于手术时间的累积和(CUSUM)分析来评估学习曲线。数据以中位数(平均值±标准差)表示,统计学显著性设定为p≤0.05。
CUSUM分析确定在88例手术时达到一致的手术熟练程度的转折点。患者特征包括年龄中位数为70(68±10.9)岁,体重指数为27(27±5.1)kg/m²,男性占多数(54%)。共有253例患者(58%)曾接受过腹部手术,36例(8%)接受过新辅助治疗,平均美国麻醉医师协会(ASA)分级和查尔森合并症指数分别为3(±3)和5(±1.5)。随着时间的推移,手术效率转化为更好的结果:非计划中转开腹手术显著减少(p<0.0001),估计失血量减少(p=0.04),住院时间缩短(p=0.008)。有趣的是,尽管熟练程度不断提高,但手术时间却增加了(p<0.0001),这反映了手术病例向技术要求更高的方向转变。在学习曲线里程碑之后,接受过腹部手术的患者比例也显著上升(p=0.007)。
真正掌握机器人PD手术需要长期经验,在完成88例手术后手术操作有显著改善。在设计机器人胰腺手术培训计划和评估手术结果时,应认识到这一延长的学习曲线。