Evidence map›Paper›PMID 35049848›Full record

ArticleJournal of imaging2022

Towards a First-Person Perspective Mixed Reality Guidance System for Needle Interventions.

Leah Groves, Natalie Li, Terry M Peters, Elvis C S Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of imaging, 2022. 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
3.1field-weighted citation impact, top 9% of its field
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, 15 citations in OpenAlex.

  1. Article
  2. Simulation of Image-Guided Microwave Ablation Therapy Using a Digital Twin Computational Model.IEEE open journal of engineering in medicine and biology · 2024
    Article
  3. Article
  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

4 authors at 1 institution in 1 country.

Leah GrovesSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.
Natalie LiSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0002-8263-3420
Terry M PetersSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0003-1440-7488
Elvis C S ChenSchool of Biomedical Engineering, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0002-4198-3336
Western University · CA

Funding

Canadian Foundation for Innovation 20994CIHR FDN 201409The Ontario Research Fund ICDC
6 · The paper itself

Abstract

While ultrasound (US) guidance has been used during central venous catheterization to reduce complications, including the puncturing of arteries, the rate of such problems remains non-negligible. To further reduce complication rates, mixed-reality systems have been proposed as part of the user interface for such procedures. We demonstrate the use of a surgical navigation system that renders a calibrated US image, and the needle and its trajectory, in a common frame of reference. We compare the effectiveness of this system, whereby images are rendered on a planar monitor and within a head-mounted display (HMD), to the standard-of-care US-only approach, via a phantom-based user study that recruited 31 expert clinicians and 20 medical students. These users performed needle-insertions into a phantom under the three modes of visualization. The success rates were significantly improved under HMD-guidance as compared to US-guidance, for both expert clinicians (94% vs. 70%) and medical students (70% vs. 25%). Users more consistently positioned their needle closer to the center of the vessel's lumen under HMD-guidance compared to US-guidance. The performance of the clinicians when interacting with this monitor system was comparable to using US-only guidance, with no significant difference being observed across any metrics. The results suggest that the use of an HMD to align the clinician's visual and motor fields promotes successful needle guidance, highlighting the importance of continued HMD-guidance research.

Indexed as

central venous catheterizationimage guided interventionmixed reality systemsquantitative skills assessmentsurgical navigationultrasound

Identifiers

PMID35049848
PMCPMC8778355
OpenAlexW4206736166

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.