Development of A Multi-Modality Navigational Based Training System for Fetoscopic Surgical Therapy

Autor: F. Boyd, M. A. Ledingham, W. Yao
Rok vydání: 2022
Předmět:
Zdroj: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
ISSN: 2694-0604
Popis: Fetal surgery is regarded as a technically difficult and new field of research, requiring the use of fetoscopic and ultrasound (US) navigation to perform minimally invasive procedures within the amniotic cavity. The Surgical Apprenticeship Training model (SAT) centres around the subjective assessment of a surgical resident's cognitive competency and technical skills under proctorship using opportunity-based environments. The restrictiveness and rarity of fetal procedures limit the effectiveness of the SAT model, resulting in a slow learning curve (LC) and higher procedural complication rates. This paper aimed to investigate the use of optical tracking technology to construct a novel simulated training system and accompanying scoring assessment under the Proficiency-Based Training model (PBT), providing real-time positional feedback of surgical tools and a quantitative feedback assessment of a surgical resident's technical skills. Clinical Relevance- Clinical feedback deemed the system as valid and confirmed that this novel approach to surgical training will significantly benefit smaller clinics that lack opportunity-based environments. Clinical feedback also suggested that the training system could be adapted to provide access to complex surgical training across the world.
Databáze: OpenAIRE