Literature DB >> 30317411

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

Hidekazu Hattori1, Yoshifumi Kuwayama2, Yoshitaka Inui3, Kazuhiro Murayama3, Motoharu Hayakawa4, Shinji Ito5, Hiroshi Toyama3.   

Abstract

PURPOSE: The use of tablet terminals has been explored in various medical settings; however, caution should be exercised when performing image diagnosis using this technology. The present study examined the characteristics of an iPad Air™ monitor and assessed radiographic image interpretations to verify the reliability of the telediagnosis of acute cerebral infarction based on magnetic resonance imaging (MRI) using a tablet terminal.
MATERIALS AND METHODS: The luminance of the iPad Air™ was measured using a UA-10 analyzer, and radiographic image interpretation experiments were performed in 100 patients who underwent MRI within 6 h of symptom onset. Ten physicians viewed the images on the iPad Air™ and a medical monitor, with an interval of 2 months between each interpretation.
RESULTS: When the iPad Air™ screen was pure white, the contour lines revealed nonuniform luminance distribution. In the reading experiment, the areas under the curve of the medical monitor and the iPad Air™ were 0.9311 and 0.9431, respectively. No significant difference was observed between the medical monitor and the iPad Air™ (p = 0.113).
CONCLUSION: The results of the observer performance studies for detecting acute ischemic cerebrovascular disorders on an iPad Air™ were found to be similar to those on a medical monitor.

Entities:  

Keywords:  Acute cerebral infarction; Medical monitor; Tablet terminals; iPad Air™

Mesh:

Year:  2018        PMID: 30317411     DOI: 10.1007/s11604-018-0763-y

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  16 in total

1.  Flexible image evaluation: iPad versus secondary-class monitors for review of MR spinal emergency cases, a comparative study.

Authors:  Jonathan P McNulty; John T Ryan; Michael G Evanoff; Louise A Rainford
Journal:  Acad Radiol       Date:  2012-04-14       Impact factor: 3.173

2.  The iPad tablet computer for mobile on-call radiology diagnosis? Auditing discrepancy in CT and MRI reporting.

Authors:  Sindhu John; Angeline C C Poh; Tchoyoson C C Lim; Elizabeth H Y Chan; Le Roy Chong
Journal:  J Digit Imaging       Date:  2012-10       Impact factor: 4.056

3.  Comparison of liquid crystal display monitors calibrated with gray-scale standard display function and with γ 2.2 and iPad: observer performance in detection of cerebral infarction on brain CT.

Authors:  Kumiko Yoshimura; Takashi Nihashi; Mitsuru Ikeda; Yoshio Ando; Hisashi Kawai; Kenichi Kawakami; Reiko Kimura; Yumiko Okada; Yoshiyuki Okochi; Naotoshi Ota; Kenichi Tsuchiya; Shinji Naganawa
Journal:  AJR Am J Roentgenol       Date:  2013-06       Impact factor: 3.959

4.  Neurosurgical simulation by interactive computer graphics on iPad.

Authors:  Keisuke Maruyama; Taichi Kin; Toki Saito; Shinya Suematsu; Miho Gomyo; Akio Noguchi; Motoo Nagane; Yoshiaki Shiokawa
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-03-21       Impact factor: 2.924

5.  Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

Authors:  T Kobayashi; X W Xu; H MacMahon; C E Metz; K Doi
Journal:  Radiology       Date:  1996-06       Impact factor: 11.105

6.  A comparative contrast perception phantom image of brain CT study between high-grade and low-grade liquid crystal displays (LCDs) in electronic medical charts.

Authors:  Kumiko Yoshimura; Kazuhiro Shimamoto; Mitsuru Ikeda; Katsuhiro Ichikawa; Shinji Naganawa
Journal:  Phys Med       Date:  2010-06-29       Impact factor: 2.685

7.  Neuroradiology Using Secure Mobile Device Review.

Authors:  Privia A Randhawa; William Morrish; John T Lysack; William Hu; Mayank Goyal; Michael D Hill
Journal:  Can J Neurol Sci       Date:  2016-04-05       Impact factor: 2.104

8.  The effect of time in use on the display performance of the iPad.

Authors:  Liam J Caffery; Kenneth L Manthey; Lawrence H Sim
Journal:  Br J Radiol       Date:  2016-05-16       Impact factor: 3.039

9.  The iPad as a mobile device for CT display and interpretation: diagnostic accuracy for identification of pulmonary embolism.

Authors:  Pamela T Johnson; Stefan L Zimmerman; David Heath; John Eng; Karen M Horton; William W Scott; Elliot K Fishman
Journal:  Emerg Radiol       Date:  2012-03-27

10.  An assessment of the iPad 2 as a CT teleradiology tool using brain CT with subtle intracranial hemorrhage under conventional illumination.

Authors:  Joon Bum Park; Hyuk Joong Choi; Jeong Hun Lee; Bo Seung Kang
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.