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1.
Ann Surg ; 278(6): e1232-e1241, 2023 12 01.
Article in English | MEDLINE | ID: mdl-37288547

ABSTRACT

OBJECTIVE: To assess the feasibility, proficiency, and mastery learning curves for robotic pancreatoduodenectomy (RPD) in "second-generation" RPD centers following a multicenter training program adhering to the IDEAL framework. BACKGROUND: The long learning curves for RPD reported from "pioneering" expert centers may discourage centers interested in starting an RPD program. However, the feasibility, proficiency, and mastery learning curves may be shorter in "second-generation" centers that participated in dedicated RPD training programs, although data are lacking. We report on the learning curves for RPD in "second-generation" centers trained in a dedicated nationwide program. METHODS: Post hoc analysis of all consecutive patients undergoing RPD in 7 centers that participated in the LAELAPS-3 training program, each with a minimum annual volume of 50 pancreatoduodenectomies, using the mandatory Dutch Pancreatic Cancer Audit (March 2016-December 2021). Cumulative sum analysis determined cutoffs for the 3 learning curves: operative time for the feasibility (1) risk-adjusted major complication (Clavien-Dindo grade ≥III) for the proficiency, (2) and textbook outcome for the mastery, (3) learning curve. Outcomes before and after the cutoffs were compared for the proficiency and mastery learning curves. A survey was used to assess changes in practice and the most valued "lessons learned." RESULTS: Overall, 635 RPD were performed by 17 trained surgeons, with a conversion rate of 6.6% (n=42). The median annual volume of RPD per center was 22.5±6.8. From 2016 to 2021, the nationwide annual use of RPD increased from 0% to 23% whereas the use of laparoscopic pancreatoduodenectomy decreased from 15% to 0%. The rate of major complications was 36.9% (n=234), surgical site infection 6.3% (n=40), postoperative pancreatic fistula (grade B/C) 26.9% (n=171), and 30-day/in-hospital mortality 3.5% (n=22). Cutoffs for the feasibility, proficiency, and mastery learning curves were reached at 15, 62, and 84 RPD. Major morbidity and 30-day/in-hospital mortality did not differ significantly before and after the cutoffs for the proficiency and mastery learning curves. Previous experience in laparoscopic pancreatoduodenectomy shortened the feasibility (-12 RPDs, -44%), proficiency (-32 RPDs, -34%), and mastery phase learning curve (-34 RPDs, -23%), but did not improve clinical outcome. CONCLUSIONS: The feasibility, proficiency, and mastery learning curves for RPD at 15, 62, and 84 procedures in "second-generation" centers after a multicenter training program were considerably shorter than previously reported from "pioneering" expert centers. The learning curve cutoffs and prior laparoscopic experience did not impact major morbidity and mortality. These findings demonstrate the safety and value of a nationwide training program for RPD in centers with sufficient volume.


Subject(s)
Laparoscopy , Robotic Surgical Procedures , Robotics , Humans , Pancreaticoduodenectomy/methods , Robotic Surgical Procedures/methods , Learning Curve , Feasibility Studies , Laparoscopy/methods , Retrospective Studies , Postoperative Complications/epidemiology
2.
Ann Surg ; 278(2): e272-e277, 2023 08 01.
Article in English | MEDLINE | ID: mdl-35837978

ABSTRACT

OBJECTIVE: To develop a fistula risk score for auditing, to be able to compare postoperative pancreatic fistula (POPF) after pancreatoduodenectomy among hospitals. BACKGROUND: For proper comparisons of outcomes in surgical audits, case-mix variation should be accounted for. METHODS: This study included consecutive patients after pancreatoduodenectomy from the mandatory nationwide Dutch Pancreatic Cancer Audit. Derivation of the score was performed with the data from 2014 to 2018 and validation with 2019 to 2020 data. The primary endpoint of the study was POPF (grade B or C). Multivariable logistic regression analysis was performed for case-mix adjustment of known risk factors. RESULTS: In the derivation cohort, 3271 patients were included, of whom 479 (14.6%) developed POPF. Male sex [odds ratio (OR)=1.34; 95% confidence interval (CI): 1.09-1.66], higher body mass index (OR=1.07; 95% CI: 1.05-1.10), a final diagnosis other than pancreatic ductal adenocarcinoma/pancreatitis (OR=2.41; 95% CI: 1.90-3.06), and a smaller duct diameter (OR=1.43/mm decrease; 95% CI: 1.32-1.55) were independently associated with POPF. Diabetes mellitus (OR=0.73; 95% CI: 0.55-0.98) was independently associated with a decreased risk of POPF. Model discrimination was good with a C -statistic of 0.73 in the derivation cohort and 0.75 in the validation cohort (n=913). Hospitals differed in particular in the proportion of pancreatic ductal adenocarcinoma/pancreatitis patients, ranging from 36.0% to 58.1%. The observed POPF risk per center ranged from 2.9% to 25.4%. The expected POPF rate based on the 5 risk factors ranged from 11.6% to 18.0% among hospitals. CONCLUSIONS: The auditing fistula risk score was successful in case-mix adjustment and enables fair comparisons of POPF rates among hospitals.


Subject(s)
Carcinoma, Pancreatic Ductal , Pancreatic Neoplasms , Pancreatitis , Humans , Male , Pancreaticoduodenectomy/adverse effects , Risk Assessment , Risk Factors , Pancreatic Fistula/epidemiology , Pancreatic Fistula/etiology , Pancreatic Fistula/surgery , Pancreatic Neoplasms/surgery , Pancreatic Neoplasms/complications , Carcinoma, Pancreatic Ductal/surgery , Pancreatitis/surgery , Postoperative Complications/etiology , Retrospective Studies , Pancreatic Neoplasms
3.
Ann Surg ; 276(6): e886-e895, 2022 12 01.
Article in English | MEDLINE | ID: mdl-33534227

ABSTRACT

OBJECTIVE: To assess feasibility and safety of a multicenter training program in robotic pancreatoduodenectomy (RPD) adhering to the IDEAL framework for implementation of surgical innovation. BACKGROUND: Good results for RPD have been reported from single center studies. However, data on feasibility and safety of implementation through a multicenter training program in RPD are lacking. METHODS: A multicenter training program in RPD was designed together with the University of Pittsburgh Medical Center, including an online video bank, robot simulation exercises, biotissue drills, and on-site proctoring. Benchmark patients were based on the criteria of Clavien. Outcomes were collected prospectively (March 2016-October 2019). Cumulative sum analysis of operative time was performed to distinguish the first and second phase of the learning curve. Outcomes were compared between both phases of the learning curve. Trends in nationwide use of robotic and laparoscopic PD were assessed in the Dutch Pancreatic Cancer Audit. RESULTS: Overall, 275 RPD procedures were performed in seven centers by 15 trained surgeons. The recent benchmark criteria for low-risk PD were met by 125 (45.5%) patients. The conversion rate was 6.5% (n = 18) and median blood loss 250ml [interquartile range (IQR) 150-500]. The rate of Clavien-Dindo grade ≥III complications was 44.4% (n = 122), postoperative pancreatic fistula (grade B/C) rate 23.6% (n = 65), 90-day complication-related mortality 2.5% (n = 7) and 90-day cancer-related mortality 2.2.% (n = 6). Median postoperative hospital stay was 12 days (IQR 8-20). In the subgroup of patients with pancreatic cancer (n = 80), the major complication rate was 31.3% and POPF rate was 10%. Cumulative sum analysis for operative time found a learning curve inflection point at 22 RPDs (IQR 10-35) with similar rates of Clavien-Dindo grade ≥III complications in the first and second phase (43.4% vs 43.8%, P = 0.956, respectively). During the study period the nationwide use of laparoscopic PD reduced from 15% to 1%, whereas the use of RPD increased from 0% to 25%. CONCLUSIONS: This multicenter RPD training program in centers with sufficient surgical volume was found to be feasible without a negative impact of the learning curve on clinical outcomes.


Subject(s)
Laparoscopy , Pancreatic Neoplasms , Robotic Surgical Procedures , Robotics , Humans , Pancreaticoduodenectomy/methods , Robotic Surgical Procedures/methods , Pancreatic Fistula/etiology , Laparoscopy/methods , Pancreatic Neoplasms/surgery , Pancreatic Neoplasms/complications , Postoperative Complications/etiology , Retrospective Studies , Pancreatic Neoplasms
4.
Oncotarget ; 8(34): 56816-56828, 2017 Aug 22.
Article in English | MEDLINE | ID: mdl-28915633

ABSTRACT

Discrimination of pancreatic ductal adenocarcinoma (PDAC) from chronic pancreatitis (CP) or peritumoral inflammation is challenging, both at preoperative imaging and during surgery, but it is crucial for proper therapy selection. Tumor-specific molecular imaging aims to enhance this discrimination and to help select and stratify patients for resection. We evaluated various biomarkers for the specific identification of PDAC and associated lymph node metastases. Using immunohistochemistry (IHC), expression levels and patterns were investigated of integrin αvß6, carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5), Cathepsin E (Cath E), epidermal growth factor receptor (EGFR), hepatocyte growth factor receptor (c-MET), thymocyte differentiation antigen 1 (Thy1), and urokinase-type plasminogen activator receptor (uPAR). In a first cohort, multiple types of pancreatic tissue were evaluated (n=62); normal pancreatic tissue (n=8), CP (n=7), PDAC (n=9), tumor associated lymph nodes (n=32), and PDAC after neoadjuvant radiochemotherapy (n=6). In a second cohort, tissues were investigated (n=55) with IHC and immunofluorescence (IF) for concordance of biomarker expression in all tissue types, obtained from an individual patient. Integrin αvß6 and CEACAM5 showed significantly higher expression levels in PDAC versus normal pancreatic tissue (P=0.001 and P<0.001, respectively) and CP (P=0.003 and P<0.001, respectively). Avß6 and CEACAM5 expression identified tumor-positive lymph nodes correctly in 84% and 68%, respectively, and in 100% of tumor-negative nodes for both biomarkers. In conclusion, αvß6 and CEACAM5 are excellent biomarkers to differentiate PDAC from surrounding tissue and to identify lymph node metastases. Individually or combined, these biomarkers are promising targets for tumor-specific molecular imaging of PDAC.

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