Introduction

Training in minimally invasive surgery (MIS) is essential to master the steep learning curve and build confidence for real procedures. Dry lab concepts like the “Fundamentals of Laparoscopic Surgery” (FLS) provide valuable structure. 

AIM

The Problem: FLS exercises, central to US board certification, lack benchmark criteria in Germany, limiting comparability and motivation, especially as MIS training can be challenging and frustrating. 

The ASSESS-Trial is a prospective study that aims to establish the first benchmark dataset for the FLS curriculum, enabling comparability within peer groups and across centers, and supporting national performance feedback.

Method

This prospective, multi center trial included students and physicians working at surgical clinics (visceral-, thoracic-, pediatric surgery, gynecology, urology) in Germany between 10/2023 and 09/2024. Participating centers were visited individually:

• Standard laparoscopic set-up was brought (tasks, ForceSense, TrEndo – Motion sensors, laparoscopic instruments)
• Fundamentals of laparoscopic Surgery tasks were performed (PEG-transfer, Precise Cutting, Intracorporal Surgical Knot)
• A personal questionnaire collected data on training level, surgical experience, and current position in the clinic.
• A questionnaire specific to each clinic collected data on the structure, size (number of beds), and number of surgeons employed.

Conclusions 

This is the first multicenter benchmark dataset for the FLS, allowing MIS training centers and dry labs to compare performance across peer groups. The data show that performance in FLS tasks does not simply improve linearly with seniority (e.g. from resident to consultant to head of department). 

More complex parameters such as force exertion and motion volume provide a clearer, more nuanced distinction between groups. This dataset significantly enhances dry lab training by improving comparability and boosting motivation.