TY - JOUR
T1 - Tampa difficulty score
T2 - a scoring system for difficulty of robotic pancreaticoduodenectomy
AU - Ross, Sharona B.
AU - Dugan, Michelle M.
AU - Sucandy, Iswanto
AU - Christodoulou, Maria
AU - Pattilachan, Tara Menon
AU - Saravanan, Sneha
AU - Rayman, Shlomi
AU - Jacoby, Harel
AU - Rosemurgy, Alexander
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - 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.
AB - 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.
KW - Robotic difficulty score system
KW - Robotic pancreaticoduodenectomy
KW - Robotic pancreaticoduodenectomy difficulty level
KW - Tampa Difficulty Score
UR - http://www.scopus.com/inward/record.url?scp=85212280469&partnerID=8YFLogxK
U2 - 10.1007/s11701-024-02189-x
DO - 10.1007/s11701-024-02189-x
M3 - Article
C2 - 39681738
AN - SCOPUS:85212280469
SN - 1863-2483
VL - 19
JO - Journal of Robotic Surgery
JF - Journal of Robotic Surgery
IS - 1
M1 - 27
ER -