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Critical steps for initiating an animal uterine transplantation model in sheep: Experience from a case series

A. Favre-Inhofer, M. Carbonnel, A. Revaux, O. Sandra, Valérie Mougenot, R. Bosc, V. Gelin, A. Rafii et al.

International Journal of Surgery, 2018

14 citations

Abstract

BACKGROUND

Recent reports have demonstrated uterus transplantation as a relevant solution to treat absolute uterine infertility. Training on animal models is a prerequisite to set up a uterine transplantation program in humans. Sheep have been used as an optimal model for training and research as they display similar vessels size to human. While the ovine model might seem easy there are many difficulties in performing this complex surgery. In this study we describe through our experience the critical initial steps toward building a learning curve toward an optimal ovine uterine transplantation model.

MATERIALS

We performed nine orthotopic uterine autotransplantations using end-to-side anastomoses to the external iliac vessels in sheep. We recorded the duration of all surgical steps and pointed out specific difficulties and solution found.

RESULTS

We were able to perform optimal uterine dissection after the first 5 cases and optimal bilateral arterial and venous anastomoses, after 7 and 9 cases respectively. The main factors associated to success rate were optimal exposure, appropriate equipment, careful vessel preparation and modification of the anastomosis technique.

CONCLUSION

As uterine transplantation research programs are expanding, setting up an ovine model to train and perform research is critical. Such model is complex and requires optimized multidisciplinary approach to build an efficient learning curve.

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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