Evidence map›Paper›PMID 23912880›Full record

ArticleInsights into imaging2013

Radiology smartphone applications; current provision and cautions.

M A Rodrigues, A Visvanathan, J T Murchison, R R Brady

Abstract read
In one paragraph

Article in Insights into imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Developing a Mobile Application for Estimating Patient's Radiation Dose.Journal of biomedical physics & engineering · 2024
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  3. Review
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  7. Article
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  11. Smartphone apps for spinal surgery: is technology good or evil?European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2016
    Review
  12. Article
  13. Review
  14. Article
  15. Smartphone apps for orthopaedic sports medicine - a smart move?BMC sports science, medicine & rehabilitation · 2015
    Article
  16. Article
  17. Radiology education, mobile technology and medical apps.BMJ simulation & technology enhanced learning · 2015
    Article
  18. Article
  19. Review
  20. Orthodontic apps at fingertips.Progress in orthodontics · 2014
    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.

M A RodriguesDepartment of Radiology, Royal Infirmary of Edinburgh, 51 Little France Crescent, Edinburgh, UK, EH16 4SA, mark.a.rodrigues@gmail.com.
A Visvanathan
J T Murchison
R R Brady

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMedical smartphone applications are increasingly popular amongst doctors. However, the quality of their content is variable. We assessed contemporary radiology-related smartphone applications, focussing on the level of advertised medical involvement in application development.

methodsSix major application stores were searched between 18-30 June 2012 using the terms radiology, radiation, x-ray(s), computed tomography/CT, magnetic resonance imaging/MRI, ultrasound, nuclear medicine, fluoroscopy and mammography/mammogram. Application ratings, cost and medical input in development were recorded.

results321 applications were identified. One hundred fifty-eight were "teaching" and 96 "reference". Three of the 29 DICOM viewing applications had FDA approval for primary diagnosis, while 62 % stated they should not be used for primary diagnosis; 24 % of applications stated named medical professional involvement, 12 % had unnamed medical involvement and 4 % acknowledged guidelines or papers; 42 % did not disclose authorship.

conclusionsA large variety of radiology-related smartphone applications are available with many potential benefits. Advertised medical involvement in application design is variable, making assessment of their accuracy difficult prior to purchase. Additional measures are required to ensure the accuracy of such applications. The limitations of image interpretation using smartphones are a major drawback of DICOM viewing applications. Further research into the accuracy of primary diagnosis using such applications is needed. MAIN MESSAGES: • A large variety of radiology smartphone applications are available with many potential benefits • Variable medical involvement in application design limits assessment of accuracy before purchase • Limitations of image interpretation using smartphones are a drawback of DICOM viewing applications • Further work on the accuracy of primary diagnosis using these DICOM viewing applications is needed.

Identifiers

PMID23912880
PMCPMC3781246

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Registered trials

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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.