Evidence map›Paper›PMID 23632059›Full record

ArticleComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society2013

On mixed reality environments for minimally invasive therapy guidance: systems architecture, successes and challenges in their implementation from laboratory to clinic.

Cristian A Linte, Katherine P Davenport, Kevin Cleary, Craig Peters, Kirby G Vosburgh, Nassir Navab, Philip Eddie Edwards, Pierre Jannin, Terry M Peters, David R Holmes and 1 more

Abstract read
In one paragraph

Article in Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Review
  3. Observational
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  10. Review
  11. Article
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  14. Article
  15. Mixed reality ultrasound guidance system: a case study in system development and a cautionary tale.International journal of computer assisted radiology and surgery · 2018
    Review
  16. Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.International journal of computer assisted radiology and surgery · 2016
    Article
  17. Article
  18. Article
  19. 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

11 authors.

Cristian A LinteBiomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
Katherine P Davenport
Kevin Cleary
Craig Peters
Kirby G Vosburgh
Nassir Navab
Philip Eddie Edwards
Pierre Jannin
Terry M Peters
David R Holmes
Richard A Robb

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
IMAGE GUIDED THERAPY CENTERP41RR019703 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI JOLESZ, FERENC A · 2010 to 2011
$8.6M
5-D Image Guided Cardiac Ablation TherapyR01EB002834 · NIBIB · MAYO CLINIC ROCHESTER · PI ROBB, RICHARD A · 2003 to 2012
$3.9M
Cancer Research UKCIHR MOP-179298NCRR NIH HHS P41 RR019703NIBIB NIH HHS EB002834NIBIB NIH HHS P41 EB015898NIBIB NIH HHS R01 EB002834
6 · The paper itself

Abstract

Mixed reality environments for medical applications have been explored and developed over the past three decades in an effort to enhance the clinician's view of anatomy and facilitate the performance of minimally invasive procedures. These environments must faithfully represent the real surgical field and require seamless integration of pre- and intra-operative imaging, surgical instrument tracking, and display technology into a common framework centered around and registered to the patient. However, in spite of their reported benefits, few mixed reality environments have been successfully translated into clinical use. Several challenges that contribute to the difficulty in integrating such environments into clinical practice are presented here and discussed in terms of both technical and clinical limitations. This article should raise awareness among both developers and end-users toward facilitating a greater application of such environments in the surgical practice of the future.

Indexed as

Computer GraphicsSoftwareUser-Computer InterfaceEnvironmentImage Interpretation, Computer-AssistedMinimally Invasive Surgical ProceduresSurgery, Computer-AssistedTranslational Research, Biomedical

Identifiers

PMID23632059
PMCPMC3796657

What OpenQuestion holds

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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.