RESUMO
PURPOSE: The radiographic rectus width to hernia width ratio (RDR) has been shown to predict ability to close fascial defect without additional myofascial release in open Rives-Stoppa abdominal wall reconstruction (AWR), but it has not been studied in robotic AWR. We aimed to examine various CT measurements to determine their usability in predicting the need for transversus abdominis release (TAR) in robotic AWR. METHODS: We performed a single-center retrospective review of 137 patients with midline ventral hernias over a 5-year period who underwent elective robotic retrorectus AWR. We excluded patients with M1 or M5 hernias, lateral/flank hernias, and hybrid repairs. The CT measurements included hernia width (HW), hernia width/abdominal width ratio (HW/AW), and RDR. Univariate, multivariate and area under the curve (AUC) analyses were performed. RESULTS: 58/137 patients required TAR (32 unilateral, 26 bilateral). Patients undergoing TAR had a significantly higher average HW and HW/AW and lower RDR. Multivariate analysis revealed that prior hernia repair was independently associated with need for TAR (p = 0.03). ROC analysis and AUC values showed acceptable diagnostic ability of HW, HW/AW and RDR in predicting need for TAR. Cutoffs of RDR ≤ 2, HW/AW > 0.3, and HW > 10 cm yielded high specificity in determining need for any TAR (97.5% vs. 96.2% vs. 92.4%) or bilateral TAR (95.5% vs. 94.6% vs. 92.8%). CONCLUSION: History of prior hernia repair was a risk factor for robotic TAR. CT measurements have some predictive value in determining need for TAR in robotic AWR. Further prospective analysis is needed in this patient population.
RESUMO
INTRODUCTION: Over the past decade, an increase has been seen in robotics used for hernia repair, specifically robotic abdominal wall reconstruction (rAWR). However, the learning curve for rAWR can be steep and presently, little is understood regarding the optimal case volume required to achieve proficiency. The aim of our study was to review skill acquisition and describe the learning curve for rAWR. METHODS: A retrospective, single-surgeon case series of consecutive patients who underwent rAWR from 2018 to 2022. The primary outcome was operative time, obtained from console time identified through the MyIntutive application. A one-sided cumulative sum analysis (CUSUM) curve for the total operative time was derived based on the mean operative time of chronological procedures (207 min). RESULTS: 185 patients underwent rAWR between 2018 and 2022. These patients were more likely to be female, Caucasian, and have undergone two previous hernia repairs. ASA complexity increased over time with ASA 3 being predominant from 2020 onwards. The median hernia length was 15.0 cm and the median width was 7 cm. Average operative time was 207.8 min and decreased over time. The CUSUM analysis identified four phases of skill acquisition with the following case volumes: Initial Learning Curve (0-20), Stabilization Phase (21-55), Second Learning Curve (56-70), 4) Skill Proficiency (> 70). CONCLUSION: In the early learning curve of rAWR, operative time decreased consistently after 70 cases, with an initial inflection after 20 cases. We identified varying stages of skill acquisition that are likely typical of a surgeon as they would progress through the learning curve of advanced robotic surgery. Future studies are needed to confirm the optimal case volume for determining the skill level for the performance of rAWR.