Literature DB >> 27045605

Neuroradiology Using Secure Mobile Device Review.

Privia A Randhawa1, William Morrish1, John T Lysack1, William Hu1, Mayank Goyal1, Michael D Hill1.   

Abstract

BACKGROUND: Image review on computer-based workstations has made film-based review outdated. Despite advances in technology, the lack of portability of digital workstations creates an inherent disadvantage. As such, we sought to determine if the quality of image review on a handheld device is adequate for routine clinical use.
METHODS: Six CT/CTA cases and six MR/MRA cases were independently reviewed by three neuroradiologists in varying environments: high and low ambient light using a handheld device and on a traditional imaging workstation in ideal conditions. On first review (using a handheld device in high ambient light), a preliminary diagnosis for each case was made. Upon changes in review conditions, neuroradiologists were asked if any additional features were seen that changed their initial diagnoses. Reviewers were also asked to comment on overall clinical quality and if the handheld display was of acceptable quality for image review.
RESULTS: After the initial CT review in high ambient light, additional findings were reported in 2 of 18 instances on subsequent reviews. Similarly, additional findings were identified in 4 of 18 instances after the initial MR review in high ambient lighting. Only one of these six additional findings contributed to the diagnosis made on the initial preliminary review.
CONCLUSIONS: Use of a handheld device for image review is of adequate diagnostic quality based on image contrast, sharpness of structures, visible artefacts and overall display quality. Although reviewers were comfortable with using this technology, a handheld device with a larger screen may be diagnostically superior.

Entities:  

Keywords:  DICOM; PACS; PDA radiology; handheld; iPad; iPhone; mobile phone

Year:  2016        PMID: 27045605     DOI: 10.1017/cjn.2016.40

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  3 in total

1.  Reliability of diagnosing acute ischemic cerebrovascular on magnetic resonance imaging disorders using iPads.

Authors:  Hidekazu Hattori; Yoshifumi Kuwayama; Yoshitaka Inui; Kazuhiro Murayama; Motoharu Hayakawa; Shinji Ito; Hiroshi Toyama
Journal:  Jpn J Radiol       Date:  2018-10-13       Impact factor: 2.374

Review 2.  The Current State and Path Forward For Enterprise Image Viewing: HIMSS-SIIM Collaborative White Paper.

Authors:  Christopher J Roth; Louis M Lannum; Donald K Dennison; Alexander J Towbin
Journal:  J Digit Imaging       Date:  2016-10       Impact factor: 4.056

3.  Image review on mobile devices for suspected stroke patients: Evaluation of the mRay software solution.

Authors:  Alex Brehm; Volker Maus; Eya Khadhraoui; Marios-Nikos Psychogios
Journal:  PLoS One       Date:  2019-06-28       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.