Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최혁중 | - |
dc.date.accessioned | 2017-05-02T08:05:33Z | - |
dc.date.available | 2017-05-02T08:05:33Z | - |
dc.date.issued | 2015-08 | - |
dc.identifier.citation | JOURNAL OF DIGITAL IMAGING, v. 28, NO 4, Page. 399-406 | en_US |
dc.identifier.issn | 0897-1889 | - |
dc.identifier.issn | 1618-727X | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s10278-015-9775-7 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/27141 | - |
dc.description.abstract | We aimed to evaluate the feasibility of an iPhone-based remote control system as a real-time remote computed tomography (CT) reading tool for suspected appendicitis using a third-generation (3G) network under suboptimal illumination. One hundred twenty abdominal CT scans were selected; 60 had no signs of appendicitis, whereas the remaining 60 had signs of appendicitis. The 16 raters reviewed the images using the liquid crystal display (LCD) monitor of a picture archiving and communication system (PACS) workstation, as well as using an iPhone connected to the PACS workstation via a remote control system. We graded the probability of the presence of acute appendicitis for each examination using a five-point Likert scale. The overall sensitivity and specificity for the diagnosis of suspected appendicitis using the iPhone and the LCD monitor were high, and they were not significantly different (sensitivity P = 1.00, specificity P = 0.14). The average areas under the receiver operating characteristic curves for all CT readings with the iPhone and LCD monitor were 0.978 (confidence interval 0.965-0.991) and 0.974 (0.960-0.988), respectively, and the two devices did not have significantly different diagnostic performances (P = 0.55). The inter-rater agreement for both devices was very good; the kappa value for the iPhone was 0.809 (0.793-0.826), and that for the LCD monitor was 0.817 (0.801-0.834). Each rater had moderate-to-very good intra-observer agreement between the two devices. We verified the feasibility of an iPhone-based remote control system as a real-time remote CT reading tool for identifying suspected appendicitis using a 3G network and suboptimal illumination. | en_US |
dc.description.sponsorship | This work was supported by funding from Hanyang University (HY-2013-MC). | en_US |
dc.language.iso | en | en_US |
dc.publisher | SPRINGER | en_US |
dc.subject | Teleradiology | en_US |
dc.subject | Computed tomography | en_US |
dc.subject | Clinical imaging viewing | en_US |
dc.subject | Acute appendicitis | en_US |
dc.title | A Feasibility Study of Real-Time Remote CT Reading for Suspected Acute Appendicitis Using an iPhone | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 28 | - |
dc.identifier.doi | 10.1007/s10278-015-9775-7 | - |
dc.relation.page | 399-406 | - |
dc.relation.journal | JOURNAL OF DIGITAL IMAGING | - |
dc.contributor.googleauthor | Kim, Changsun | - |
dc.contributor.googleauthor | Kang, Bossng | - |
dc.contributor.googleauthor | Choi, Hyuk Joong | - |
dc.contributor.googleauthor | Park, Joon Bum | - |
dc.relation.code | 2015000218 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF MEDICINE[S] | - |
dc.sector.department | DEPARTMENT OF MEDICINE | - |
dc.identifier.pid | ardoc | - |
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