Book chapter
Effect of Robotic Surgery Simulators in Training Assessed by Functional Near-Infrared Spectroscopy (fNIRs)
Augmented Cognition. Human Cognition and Behavior, pp 271-278
10 Jul 2020
Abstract
In the last decade, robotic surgery has enhanced doctors’ capabilities and enabled surgeons to operate complex procedures even through smaller incisions. Due to the increasing trend of using of robotic surgery there is a need for training the surgeons of different disciplines including urology, general surgery, gynecology, cardiovascular surgery, endocrine surgery and thoracic surgery. Training surgeons with the robotic surgery simulator (RSS) is the common and initial procedure. This study focuses on monitoring training effect of robotic surgery simulators with neurophysiological assessment via functional near-infrared spectroscopy (fNIRS) and with the embedded scoring systems of the RSS. fNIRS allow researchers to record hemodynamic responses within the prefrontal cortex (PFC) in response to stimuli. Cortical oxygenation changes of the PFC from participants were monitored while they were performing suturing tasks with various difficulty levels. Twenty four resident surgeons from two different disciplines without prior robotic surgery experience (mean age ± SD = 28.25 ± 1.98 years19 OB&GYN residents, 5 general surgery residents) completed the experimental protocol consisting of two standard training blocks. On both blocks, participants completed suture sponge tasks on three different difficulty levels. Simulator scoring provided task performance assessment of each trainee. Participants’ oxygen consumption levels were higher on the first block, where they familiarized themselves with the suturing task using RSS. On the second block, oxygen consumption levels decreased while performance scores significantly increased compared to the first block.
Metrics
10 Record Views
2 citations in Scopus
Details
- Title
- Effect of Robotic Surgery Simulators in Training Assessed by Functional Near-Infrared Spectroscopy (fNIRs)
- Creators
- Mehmet Emin Aksoy - Biomedical Device Technology Department, Acibadem Mehmet Ali Aydinlar University, Istanbul, TurkeyKurtulus Izzetoglu - Drexel UniversityAtahan Agrali - Biomedical Device Technology Department, Acibadem Mehmet Ali Aydinlar University, Istanbul, TurkeyDilek Kitapcioglu - Center of Advanced Simulation and Education (CASE), Acibadem Mehmet Ali Aydinlar University, Istanbul, TurkeyMete Gungor - Obstetrics and Gynecology Department, Medical School, Acibadem Mehmet Ali Aydinlar University, Istanbul, TurkeyAysun Simsek - Haydarpaşa Numune Eğitim ve Araştırma Hastanesi
- Publication Details
- Augmented Cognition. Human Cognition and Behavior, pp 271-278
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing; Cham
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Scopus ID
- 2-s2.0-85088754128
- Other Identifier
- 991019173536304721