Reliability of diagnosing acute ischemic cerebrovascular on magnetic resonance imaging disorders using iPads
- 68 Downloads
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.
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).
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.
KeywordsiPad Air™ Tablet terminals Acute cerebral infarction Medical monitor
The authors would like to express our gratitude to Kumiko Yoshimura of Nagoya University for her cooperation in the preparatory stage of this study, the doctors from the Department of Radiology, the Department of Neurosurgery and the Department of Neurology of Fujita Health University for their cooperation in the reading experiment, and Masao Ohashi, a radiological technologist in the Department of Radiology at Fujita Health University Hospital, for his cooperation with luminance measurement on the monitors. Special thanks also go to Dr. Shinpei Akiyama of Kyoto Prefectural University of Medicine, Department of Radiology, and Dr. Nobuo Kako of the AICHI Clinic of Healthcare.
This study was announced at the 74th Annual Meeting of the Japan Radiological Society (Yokohama city, Kanagawa prefecture, Pacifico Yokohama, April 16–19, 2015) and the ECR https://doi.org/10.1594/ecr2016/C-1280.
This work was supported by JSPS KAKENHI Grant-in-Aid for Young Scientists (B) 26860407.
This study was approved in advance by the Institutional Review Board of Fujita Health University (Toyoake, Aichi, Japan).
Compliance with ethical standards
Conflict of interest
The author has no conflict of interest to disclose with respect to this article.
- 8.Japan Radiological Society. Guidelines for the handling of digital images, version 3.0. 2015. http://www.radiology.jp/content/files/20150417.pdf. Accessed 5 May 2018.
- 9.JIRA. quality assurance (QA) guideline for medical imaging display systems. 2017. http://www.jira-net.or.jp/publishing/files/jesra/JESRA_X-0093B_2017.pdf. Accessed 5 May 2018.
- 10.National Electrical Manufacturers Association. Digital imaging and communications in medicine (DICOM). Part 14. Grayscale standard display function. http://medical.nema.org/Dicom/2011/11_14pu.pdf. Accessed 5 May 2018.
- 11.BARCO. MediCal QAWeb Mobile. https://www.barco.com/en/Products/Software/Medical-calibration-and-QA-software/Visual-calibration-and-QA-for-your-tablet.aspx/. Accessed 5 May 2018.
- 12.EIZO. RadiCS. http://www.eizoglobal.com/press/releases/htmls/radicsmobile.html. Accessed 5 May 2018.
- 14.Yoshimura K, Nihashi T, Ikeda M, Ando Y, Kawai H, Kawakami K, et al. 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. AJR. 2013;200(6):1304–9.CrossRefGoogle Scholar
- 15.Hattori H, Shinpei A, Yoshitaka I, Toyama H. Consideration of reliability in the diagnosis of acute ischemic cerebrovascular disorders about MRI in iPad air. In: EPOS of the ECR, 2016. https://doi.org/10.1594/ecr2016/C-1280.
- 20.Caffery LJ, Armfield NR, Smith AC. Radiological interpretation of images displayed on tablet computers: a systematic review. Br J Radiol. 1050;2015(88):20150191.Google Scholar
- 21.Caffery LJ, Manthey KL, Sim LH. The effect of time in use on the display performance of the iPad. Br J Radiol. 1063;2016(89):20150657.Google Scholar
- 22.RealVision. FVT-air. https://realvision.co.jp/service/fvt_air/. Accessed 5 May 2018.