Evidence map›Paper›PMID 25700617›Full record

ArticleJournal of digital imaging2015

A Feasibility Study of Real-Time Remote CT Reading for Suspected Acute Appendicitis Using an iPhone.

Changsun Kim, Bossng Kang, Hyuk Joong Choi, Joon Bum Park

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of digital imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02960685 (Can Offsite Expert Accurately Estimate the Ejection Fraction by Watching and Instructing the Onsite Novice Sonographer's Practice Via the Social Network System?), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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.

NCT02960685 unknown statusnot on this mapstarted 2016, after this paper: background citation

Can Offsite Expert Accurately Estimate the Ejection Fraction by Watching and Instructing the Onsite Novice Sonographer's Practice Via the Social Network System?

Typeobservational_patient_registrySponsorHanyang UniversityRan2016Enrolled60ConditionsHeart Failure, SystolicArmsEchocardiography
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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 at 2 institutions in 1 country.

Changsun KimDepartment of Emergency Medicine, Hanyang University Guri Hospital, 153 Gyeongchun-ro(st), Guri-si, Gyeonggi-do, 471-701, Republic of Korea.
Bossng Kang
Hyuk Joong Choi
Joon Bum Park
Hanyang University Guri Hospital · KRSoonchunhyang University Hospital Seoul · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

SmartphoneAcute DiseaseAdultAppendicitisFeasibility StudiesFemaleHumansMaleObserver VariationRadiology Information SystemsReproducibility of ResultsROC CurveSensitivity and SpecificityTeleradiologyTomography, X-Ray Computed

Identifiers

PMID25700617
PMCPMC4501959
OpenAlexW2088504900

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.