ArticleCanadian journal of anaesthesia = Journal canadien d'anesthesie2023
Virtual reality and 3D printing in clinical anesthesia: a case series of two years' experience in a single tertiary medical centre.
Article in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- 3-dimensional reconstruction and mixed reality in thoracic surgery: a narrative review and user guide.Journal of thoracic disease · 2025Review
- Airway management in CHARGE syndrome, devising a well tolerated approach: Principio del formulario.European journal of anaesthesiology and intensive care · 2025Article
- Innovations to Improve Lung Isolation Training for Thoracic Anesthesia: A Narrative Review.Journal of clinical medicine · 2024Review
- Amalgamation of artificial intelligence and simulation in anaesthesia training: Much-needed future endeavour.Indian journal of anaesthesia · 2024Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAnatomically correct patient-specific models made from medical imaging can be printed on a three-dimensional (3D) printer or turned into a virtual reality (VR) program. Until recently, use in anesthesia has been limited. In 2019, the anesthesia department at Tel Aviv Medical Center launched a 3D program with the aim of using 3D modelling to assist in preoperative anesthesia planning.
methodsA retrospective review of all relevant patients between July 2019 and June 2021 referred for preoperative airway planning with 3D modelling. Patient files were reviewed for correlation between the model-based airway plan and the actual airway plan, the type of model used, and any anesthetic complications related to airway management.
resultsTwenty patients were referred for 3D modelling. Of these, 15 models were printed, including 12 children requiring one lung ventilation. Five patients had VR reconstructions, including three with mediastinal masses. One patient had both a 3D-printed model and a VR reconstruction. There were two cases (10%) where the model plan did not correlate with the final airway plan and one case where a model could not be created because of poor underlying imaging. For the remaining 17 cases, the plan devised on the model matched the final airway plan. There were no anesthetic complications.
conclusionsThree-dimensional modelling and subsequent printing or VR reconstruction are feasible in clinical anesthesia. Its routine use for patients with challenging airway anatomy correlated well with the final clinical outcome in most cases. High-quality imaging is essential.
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