Evidence map›Paper›PMID 32038868›Full record

ArticleHealthcare technology letters2019

Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.

Sara Amini, Marta Kersten-Oertel

Open access · goldAbstract read
In one paragraph

Article in Healthcare technology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. A usability analysis of augmented reality and haptics for surgical planning.International journal of computer assisted radiology and surgery · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

Sara AminiDepartment of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada H3G 2V8.
Marta Kersten-OertelDepartment of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada H3G 2V8.ORCID 0000-0002-9492-8402
Concordia University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In breast reconstruction following a single mastectomy, the surgeon needs to choose between tens of available implants to find the one that can reproduce the symmetry of the patient's breasts. However, due to the lack of measurement tools this decision is made purely visually, which means the surgeon has to order multiple implants to confirm the size for every single patient. In this Letter, the authors present an augmented reality application, which enables surgeons to see the shape of the implants, as 3D holograms on the patient's body. They custom developed a two-chamber implant that can gain different shapes and be used to test the system. Furthermore, the system was tested in a user study with 13 subjects. The study showed that subjects were able to do a comparison between real and holographic implants and come to a decision about which should be used. This method can be quicker than the traditional way and eliminates sizer implants from the process. Further advantages of the method include the use of a more accurate, user-friendly device, which is easily extendable as new implants that are on the market can be easily added to the system dataset.

Indexed as

augmented realityaugmented reality applicationaugmented reality mastectomy surgical planning prototypeavailable implantsbreast reconstructioneliminates sizer implantshealth carehealthcare technology lettersholographic implantsHoloLens templateimage reconstructionmeasurement toolsmedical computingmedical image processingmultiple implantsprostheticssingle mastectomysingle patientsurgeonsurgerysystem datasettraditional waytwo-chamber implant

Identifiers

PMID32038868
PMCPMC6952247
OpenAlexW2979431788

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.