Objective assessment of surgeon’s skill using needle grasping virtual reality module

Nor Zawani Ahmmad, Eileen Su Lee Ming, Yeong Che Fai, Suneet Sood, Anil Gandhi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Conventional practice for surgical skill assessment relies heavily on expert surgeons using direct observation of outcomes. This is highly subjective and prone to inter and intra-rater’s variability. The aim of this study is to develop a computer based assessment module and to identify the measurable parameters that can be used to assess surgical skill objectively. The virtual-reality computer modules namely ‘Needle Grasping’ were developed using Visual C++, PHANTOM Omni haptic device and sensors emulated a fundamental step in suturing and evaluated the needle grasping angle and grasping position. To validate the modules, experiments was conducted with 4 surgeons and 11 non-surgeons to identify significant parameters that could differentiate between expert and novice subjects. Experimental results showed that surgeons outperformed non-surgeons significantly in needle grasping position, where the comparison values were 2.64 ± 3.48 and 3.99 ± 3.94, respectively.

Original languageEnglish
Pages (from-to)220-224
Number of pages5
JournalInternational Journal of Advanced Trends in Computer Science and Engineering
Volume9
Issue number1.1 Special Issue
DOIs
Publication statusPublished - 2020

Keywords

  • Assessment parameter
  • Psychomotor skill
  • Surgical skill
  • Virtual reality

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