Tampa difficulty score: a scoring system for difficulty of robotic pancreaticoduodenectomy.

IF 2.2 3区 医学 Q2 SURGERY Journal of Robotic Surgery Pub Date : 2024-12-16 DOI:10.1007/s11701-024-02189-x
Sharona B Ross, Michelle M Dugan, Iswanto Sucandy, Maria Christodoulou, Tara Menon Pattilachan, Sneha Saravanan, Shlomi Rayman, Harel Jacoby, Alexander Rosemurgy
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Abstract

Robotic platforms are increasingly utilized in surgery, offering unique technical advantages, though there is a scarcity of difficulty scoring systems (DSS) for these procedures. DSS aids in understanding operative complexities and enhancing preoperative planning. With IRB approval, data were collected on 200 consecutive adult patients who underwent robotic pancreaticoduodenectomy at a high-volume institution from 2019 to 2022. Linear regression was employed on clinical variables to analyze operative time and estimated blood loss as markers of surgical complexity. Weighted scoring system was developed using significant linear coefficient values, and an ANOVA analysis created the difficulty-level grouping system. Significant variables affecting operative time and/or EBL included: history of alcoholism, preoperative endoscopic intervention, tumor size, nodal disease on preoperative imaging, pancreatic duct dilation. These factors created the DSS ranging from 0 to 33. Group 1 (0-8, n = 9), Group 2 (9-20, n = 145), Group 3 (21-26, n = 37), and Group 4 (27-33, n = 9) showed significant differences in age, history of alcoholism, preoperative jaundice, tumor size, nodal disease, and operative metrics. Our novel DSS for robotic pancreaticoduodenectomy effectively predicts intraoperative challenges and aids in preoperative planning. Future steps include validating the system internally and externally.

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坦帕难度评分:机器人胰十二指肠切除术难度评分系统。
机器人平台在外科手术中的应用越来越广泛,具有独特的技术优势,但针对这些手术的难度评分系统(DSS)却非常缺乏。DSS 有助于了解手术的复杂性并加强术前计划。经IRB批准,我们收集了2019年至2022年期间在一家大医院接受机器人胰十二指肠切除术的200名连续成年患者的数据。对临床变量采用线性回归分析手术时间和估计失血量,作为手术复杂性的标记。利用显著的线性系数值建立了加权评分系统,并通过方差分析建立了难度级别分组系统。影响手术时间和/或EBL的重要变量包括:酗酒史、术前内镜干预、肿瘤大小、术前成像中的结节病、胰管扩张。这些因素形成了从 0 到 33 的 DSS。第一组(0-8,n = 9)、第二组(9-20,n = 145)、第三组(21-26,n = 37)和第四组(27-33,n = 9)在年龄、酗酒史、术前黄疸、肿瘤大小、结节病和手术指标方面存在显著差异。我们用于机器人胰十二指肠切除术的新型 DSS 可有效预测术中挑战,并有助于术前规划。未来的步骤包括对系统进行内部和外部验证。
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来源期刊
CiteScore
4.20
自引率
8.70%
发文量
145
期刊介绍: The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.
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