Evidence map›Paper›PMID 37498441›Full record

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.

Ruth Shaylor, Eran Golden, Vladimir Verenkin, Marina Kolodii, Michael Peer, Solomon Dadia, Idit Matot, Barak Cohen

Abstract read
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ruth ShaylorDivision of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel. ruthsha@tlvmc.gov.il.ORCID http://orcid.org/0000-0002-6082-6862
Eran GoldenLevin Center for Surgical Innovation and 3D Printing, Tel Aviv Medical Center, Tel Aviv, Israel.
Vladimir VerenkinDivision of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel.
Marina KolodiiDepartment of Thoracic Surgery, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel.
Michael PeerDepartment of Thoracic Surgery, Tel Aviv Medical Center, Tel Aviv University, Tel Aviv, Israel.
Solomon DadiaLevin Center for Surgical Innovation and 3D Printing, Tel Aviv Medical Center, Tel Aviv, Israel.
Idit MatotDivision of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel.
Barak CohenDivision of Anesthesia, Intensive Care, and Pain Management, Tel Aviv Medical Center, Tel Aviv University, 6 Weizmann St, Tel Aviv, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnesthesiaVirtual RealityChildHumansPrinting, Three-DimensionalRadiographyResearch3D printingdifficult airwayperioperative assessmentthoracic anesthesiavirtual reality

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.