Keyword search (4,163 papers available)

"Harirpoush A" Authored Publications:

Title Authors PubMed ID
1 Towards user-centered interactive medical image segmentation in VR with an assistive AI agent Spiegler P; Harirpoush A; Xiao Y; 41509996
ENCS
2 Virtual reality-based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study Harirpoush A; Rakovich G; Kersten-Oertel M; Xiao Y; 39720764
ENCS

 

Title:Virtual reality-based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study
Authors:Harirpoush ARakovich GKersten-Oertel MXiao Y
Link:https://pubmed.ncbi.nlm.nih.gov/39720764/
DOI:10.1049/htl2.12114
Publication:Healthcare technology letters
Keywords:lungsurgeryvirtual reality
PMID:39720764 Category: Date Added:2024-12-25
Dept Affiliation: ENCS
1 Department of Computer Science and Software Engineering Concordia University Quebec Canada.
2 Maisonneuve Rosemont Hospital University of Montreal Quebec Canada.
3 School of Health Concordia University Quebec Canada.

Description:

Video-assisted thoracic surgery (VATS) is a minimally invasive approach for treating early-stage non-small-cell lung cancer. Optimal trocar placement during VATS ensures comprehensive access to the thoracic cavity, provides a panoramic endoscopic view, and prevents instrument crowding. While established principles such as the Baseball Diamond Principle (BDP) and Triangle Target Principle (TTP) exist, surgeons mainly rely on experience and patient-specific anatomy for trocar placement, potentially leading to sub-optimal surgical plans that increase operative time and fatigue. To address this, the authors present the first virtual reality (VR)-based pre-operative planning tool with tailored data visualization and interaction designs for efficient and optimal VATS trocar placement, following the established surgical principles and consultation with an experienced surgeon. In the preliminary study, the system's application in right upper lung lobectomy is demonstrated, a common thoracic procedure typically using three trocars. A preliminary user study of the system indicates it is efficient, robust, and user-friendly for planning optimal trocar placement, with a great promise for clinical application while offering potentially valuable insights for the development of other surgical VR systems.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University