Learning Curve Analysis for Robotic-assisted Harvest of Deep Inferior Epigastric Perforator Flap.

ABSTRACT: The deep inferior epigastric perforator (DIEP) flap is the preferred method for autologous breast reconstruction after mastectomy, but risks the development of hernia, bulge, and decreased core strength. Robotic harvest of DIEP vessels may limit abdominal wall morbidity through smaller fascial incisions and preservation of motor nerves. This study shows the expected learning curve (LC) for robotic harvest and compares the LC between a general surgeon (GS) and a plastic surgeon (PS). A retrospective cohort study was performed for patients who underwent bilateral robotic DIEP flap harvest from October 2021 to September 2022. We evaluated robotic pedicle dissection time (DT) and compared the times between GS and PS. We calculated LC for each surgeon using the cumulative sum (CUSUM) method, C

SUBMITTER: Moreira A 

PROVIDER: S-EPMC11469914 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature