Evidence map›Paper›PMID 29770927›Full record

ReviewInsights into imaging2018

A review of existing and potential computer user interfaces for modern radiology.

Antoine Iannessi, Pierre-Yves Marcy, Olivier Clatz, Anne-Sophie Bertrand, Maki Sugimoto

Abstract readReview
In one paragraph

Review in Insights into imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Exploring interaction paradigms for segmenting medical images in virtual reality.International journal of computer assisted radiology and surgery · 2025
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 3D Printing Applications for Radiology: An Overview.The Indian journal of radiology & imaging · 2021
    Review
  9. Article
  10. Review
  11. 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

5 authors.

Antoine IannessiInterventional and Diagnostic Imaging Department, Cancer Center Antoine Lacassagne Nice, Nice, France. antoineiannessi@gmail.com.ORCID http://orcid.org/0000-0001-7179-9719
Pierre-Yves MarcyImaging Department, Polyclinique les Fleurs, Ollioules, France.
Olivier ClatzTherapixel, Valbonne, France.
Anne-Sophie BertrandInterventional and Diagnostic Imaging Department, Cancer Center Antoine Lacassagne Nice, Nice, France.
Maki SugimotoInternational University of Health Welfare, Otawara, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digitalization of modern imaging has led radiologists to become very familiar with computers and their user interfaces (UI). New options for display and command offer expanded possibilities, but the mouse and keyboard remain the most commonly utilized, for usability reasons. In this work, we review and discuss different UI and their possible application in radiology. We consider two-dimensional and three-dimensional imaging displays in the context of interventional radiology, and discuss interest in touchscreens, kinetic sensors, eye detection, and augmented or virtual reality. We show that UI design specifically for radiologists is key for future use and adoption of such new interfaces. Next-generation UI must fulfil professional needs, while considering contextual constraints. TEACHING POINTS: • The mouse and keyboard remain the most utilized user interfaces for radiologists. • Touchscreen, holographic, kinetic sensors and eye tracking offer new possibilities for interaction. • 3D and 2D imaging require specific user interfaces. • Holographic display and augmented reality provide a third dimension to volume imaging. • Good usability is essential for adoption of new user interfaces by radiologists.

Indexed as

Computed tomodensitometryComputer user interfaceInterventional radiologyVirtual realityVolume rendering

Identifiers

PMID29770927
PMCPMC6108970

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.