Evidence map›Paper›PMID 29796835›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

A virtual pointer to support the adoption of professional vision in laparoscopic training.

Yuanyuan Feng, Hannah McGowan, Azin Semsar, Hamid R Zahiri, Ivan M George, Timothy Turner, Adrian Park, Andrea Kleinsmith, Helena M Mentis

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. HoloPointer: a virtual augmented reality pointer for laparoscopic surgery training.International journal of computer assisted radiology and surgery · 2021
    Article
  6. Article
  7. Article
  8. 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

9 authors.

Yuanyuan FengDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA. fengy1@umbc.edu.ORCID http://orcid.org/0000-0003-4060-6261
Hannah McGowanDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.ORCID http://orcid.org/0000-0001-8656-1631
Azin SemsarDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.
Hamid R ZahiriDepartment of Surgery, Anne Arundel Medical Center, 2001 Medical Pkwy, Annapolis, MD, 21401, USA.
Ivan M GeorgeDepartment of Surgery, Anne Arundel Medical Center, 2001 Medical Pkwy, Annapolis, MD, 21401, USA.
Timothy TurnerDepartment of Surgery, Anne Arundel Medical Center, 2001 Medical Pkwy, Annapolis, MD, 21401, USA.
Adrian ParkDepartment of Surgery, Anne Arundel Medical Center, 2001 Medical Pkwy, Annapolis, MD, 21401, USA.
Andrea KleinsmithDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.ORCID http://orcid.org/0000-0003-1007-2553
Helena M MentisDepartment of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.ORCID http://orcid.org/0000-0002-0142-3529

Funding

National Science Foundation 1422671National Science Foundation 1552837
6 · The paper itself

Abstract

purposeTo assess a virtual pointer in supporting surgical trainees' development of professional vision in laparoscopic surgery.

methodsWe developed a virtual pointing and telestration system utilizing the Microsoft Kinect movement sensor as an overlay for any imagine system. Training with the application was compared to a standard condition, i.e., verbal instruction with un-mediated gestures, in a laparoscopic training environment. Seven trainees performed four simulated laparoscopic tasks guided by an experienced surgeon as the trainer. Trainee performance was subjectively assessed by the trainee and trainer, and objectively measured by number of errors, time to task completion, and economy of movement.

resultsNo significant differences in errors and time to task completion were obtained between virtual pointer and standard conditions. Economy of movement in the non-dominant hand was significantly improved when using virtual pointer ([Formula: see text]). The trainers perceived a significant improvement in trainee performance in virtual pointer condition ([Formula: see text]), while the trainees perceived no difference. The trainers' perception of economy of movement was similar between the two conditions in the initial three runs and became significantly improved in virtual pointer condition in the fourth run ([Formula: see text]).

conclusionsResults show that the virtual pointer system improves the trainer's perception of trainee's performance and this is reflected in the objective performance measures in the third and fourth training runs. The benefit of a virtual pointing and telestration system may be perceived by the trainers early on in training, but this is not evident in objective trainee performance until further mastery has been attained. In addition, the performance improvement of economy of motion specifically shows that the virtual pointer improves the adoption of professional vision- improved ability to see and use laparoscopic video results in more direct instrument movement.

Indexed as

Clinical CompetenceComputer-Assisted InstructionComputer SimulationUser-Computer InterfaceFemaleHumansLaparoscopyMaleEconomy of movementExpert knowledgeGestural sensingKinectLaparoscopic surgeryProfessional visionSurgical trainingVirtual pointing and telestration system

Identifiers

PMID29796835

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.