OV03 TEP IN COLORS: ANATOMICAL VIEW USING ARTICULATED FORCEPS

Autor: Rafael Diaz del Gobbo, Sara Pardo, Raquel Sanchez, Merce Guell, Lorena Sanchon, Alexander Osorio, Claudio Antonio Guariglia, Roser Farre, Pablo Collera
Rok vydání: 2021
Předmět:
Zdroj: British Journal of Surgery. 108
ISSN: 1365-2168
0007-1323
Popis: Aim Present through an illustrative and educational video, an anatomical and colorful vision of the totally extraperitoneal laparoscopic approach (TEP) of inguinofemoral hernias, with the aim of favoring the learning process of this technique, facilitating the identification of the main anatomical structures, ensuring a safe and effective approach. Material and Methods In this video we show the laparoscopic approach to inguinofemoral hernias via TEP, highlighting the most important anatomical structures with different colors. Additionally, the surgical technique of this approach using articulated forceps is shown, which we consider to be a good resource for dissection in a space as small as the preperitoneal one. Results The anatomical study of the inguinofemoral area constitutes the basis of a correct preperitoneal approach, especially in PET, where the most difficult is probably the space location and the identification of the structures. Conclusions The preperitoneal PET route is a relatively novel approach for inguinofemoral hernia repair. Its benefits are based on the ability to identify all the anatomical structures of the myopectineal orifice from a preperitoneal view without the need to access the peritoneal cavity. The knowledge of preperitoneal anatomy is the cornerstone for learning the TEP approach, and we consider that anatomical videos of real surgeries are good strategies to shorten the learning curve. Mastering the preperitoneal anatomy ensures obtaining the benefits inherent to the TEP approach, such as bilateral exploration of the myopectineal orifice, direct visualization of the pain and doom triangles, tension-free repair with mesh of all possible defects and faster postoperative recovery.
Databáze: OpenAIRE