Management strategies of anastomotic ulcer after gastric bypass and risk factors of recurrence.

BACKGROUND: Marginal ulcers (MU) after gastric bypass are a challenging problem. The first-line treatment is a medical therapy with eviction of risk factors but is sometimes insufficient. The management strategies of intractable ulcers are still not clearly defined. The aim of our study was to analyse the risk factors for recurrence, the management strategies used and their efficiencies. METHODS: Based on a retrospective analysis of all MU managed in our tertiary care centre of bariatric surgery during the last 14 years, a descriptive analysis of the cohort, the management strategies and their efficiency were analysed. A logistic regression was done to identify the independent associated risk factors of intractable ulcer. RESULTS: Fifty-six patients matched inclusion criteria: 30 were referred to us (13 Roux-en-Y Gastric Bypass-RYGB and 17 One Anastomosis Gastric Bypass-OAGB), 26 were operated on in our institution (24 RYGB and 2 OAGB). 11 patients had a complicated inaugural MU requiring an interventional procedure in emergency: 7 perforations, 4 haemorrhages. The majority of MU were treated medically as a first-line therapy (n = 45; 80.4%). 32 MU recurred: 20 patients required surgery as a 2nd line therapy, 6 were operated on as a 3rd line therapy and 1 had a surgery as a 5th line therapy. The OAGB was the only risk factor of recurrence (p = 0.018). We found that the Surgical management was significantly more frequent for patients with a OAGB (84% versus 35% for RYGB, p = 0.001); the most performed surgical procedure was a conversion of OAGB to RYGB (n = 11, 37.9%). CONCLUSION: Surgery was required for a large number of MU especially in case of recurrence, but recurrence can still occur after the surgery. The OAGB was the only risk factor of recurrence identified and conversion to RYGB seemed to be effective for the healing.

A case series study of augmented reality in laparoscopic liver resection with a deformable preoperative model.

BACKGROUND: Previous work in augmented reality (AR) guidance in monocular laparoscopic hepatectomy requires the surgeon to manually overlay a rigid preoperative model onto a laparoscopy image. This may be fairly inaccurate because of significant liver deformation. We have proposed a technique which overlays a deformable preoperative model semi-automatically onto a laparoscopic image using a new software called Hepataug. The aim of this study is to show the feasibility of Hepataug to perform AR with a deformable model in laparoscopic hepatectomy. METHODS: We ran Hepataug during the procedures, as well as the usual means of laparoscopic ultrasonography (LUS) and visual inspection of the preoperative CT or MRI. The primary objective was to assess the feasibility of Hepataug, in terms of minimal disruption of the surgical workflow. The secondary objective was to assess the potential benefit of Hepataug, by subjective comparison with LUS. RESULTS: From July 2017 to March 2019, 17 consecutive patients were included in this study. AR was feasible in all procedures, with good correlation with LUS. However, for 2 patients, LUS did not reveal the location of the tumors. Hepataug gave a prediction of the tumor locations, which was confirmed and refined by careful inspection of the preoperative CT or MRI. CONCLUSION: Hepataug showed a minimal disruption of the surgical workflow and can thus be feasibly used in real hepatectomy procedures. Thanks to its new mechanism of semi-automatic deformable alignment, Hepataug also showed a good agreement with LUS and visual CT or MRI inspection in subsurface tumor localization. Importantly, Hepataug yields reproducible results. It is easy to use and could be deployed in any existing operating room. Nevertheless, comparative prospective studies are needed to study its efficacy.