Video Grading of Pancreatic Anastomoses During Robotic Pancreatoduodenectomy to Assess Both Learning Curve and the Risk of Pancreatic Fistula: A Post Hoc Analysis of the LAELAPS-3 Training Program

Abstract

Objective: To assess the learning curve of pancreaticojejunostomy during robotic pancreatoduodenectomy (RPD) and to predict the risk of postoperative pancreatic fistula (POPF) by using the objective structured assessment of technical skills (OSATS), taking the fistula risk into account.

Background: RPD is a challenging procedure that requires extensive training and confirmation of adequate surgical performance. Video grading, modified for RPD, of the pancreatic anastomosis could assess the learning curve of RPD and predict the risk of POPF.

Methods: Post hoc assessment of patients prospectively included in 4 Dutch centers in a nationwide LAELAPS-3 training program for RPD. Video grading of the pancreaticojejunostomy was performed by 2 graders using OSATS (attainable score: 12-60). The main outcomes were the combined OSATS of the 2 graders and POPF (grade B/C). Cumulative sum analyzed a turning point in the learning curve for surgical skill. Logistic regression determined the cutoff for OSATS. Patients were categorized for POPF risk (ie, low, intermediate, and high) based on the updated alternative fistula risk scores.

Results: Videos from 153 pancreatic anastomoses were included. Median OSATS score was 48 (interquartile range: 41-52) points and with a turning point at 33 procedures. POPF occurred in 39 patients (25.5%). An OSATS score below 49, present in 77 patients (50.3%), was associated with an increased risk of POPF (odds ratio: 4.01, P =0.004). The POPF rate was 43.6% with OSATS < 49 versus 15.8% with OSATS ≥49. The updated alternative fistula risk scores category "soft pancreatic texture" was the second strongest prognostic factor of POPF (odds ratio: 3.37, P =0.040). Median cumulative surgical experience was 17 years (interquartile range: 8-21).

Conclusions: Video grading of the pancreatic anastomosis in RPD using OSATS identified a learning curve and a reduced risk of POPF in case of better surgical performance. Video grading may provide a valid method to surgical training, quality control, and improvement.

FIGURE 1

Flowchart of enrollment.

FIGURE 2

Combined OSATS score in consecutive robotic pancreaticojejunostomies. The x-axis indicates groups of 10 consecutive cases, color indicated per surgeon up to the inclusion number (Surgeons A1–3 were from the same center) ranked from first to last per center, and the y-axis indicates the combined OSATS score. The black line indicates the median OSATS scores with interquartile range box and range brackets. Min 12 to Max 60.

FIGURE 3

OSATS CUSUM analysis during robot pancreatoduodenectomy. The x-axis indicates consecutive cases of all centers, color indicated per surgeon up to the inclusion number (Surgeons A1–3 were from the same center). The y-axis indicates the CUSUM analysis for OSATS. The first label (n=25) indicates the first top turning point of the learning curve, where after, stabilization of the learning curve occurs. Hereafter, the second label (n=33) indicates the turning point where the learning curve follows a continuous downward slope.