Evidence map›Paper›PMID 34441347›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Evaluation of a Novel Teleradiology Technology for Image-Based Distant Consultations: Applications in Neurosurgery.

Paulina Cewe, Gustav Burström, Ivan Drnasin, Marcus Ohlsson, Halldor Skulason, Stanislav Vucica, Adrian Elmi-Terander, Erik Edström

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Structural equation modeling of findings in pediatric tele-neuroradiology: a 2-year nationwide study of turnaround time predictors and clinical decision support.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Article
  2. Article
  3. Review
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

8 authors.

Paulina CeweDepartment of Trauma and Musculoskeletal Radiology, Karolinska University Hospital, 171 64 Stockholm, Sweden.
Gustav BurströmDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden.
Ivan DrnasinImage Over Globe, 21000 Split, Croatia.
Marcus OhlssonDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden.
Halldor SkulasonDepartment of Neurosurgery, Landspitali University Hospital, 101 Reykjavik, Iceland.
Stanislav VucicaImage Over Globe, 21000 Split, Croatia.
Adrian Elmi-TeranderDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden.ORCID 0000-0002-3776-6136
Erik EdströmDepartment of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In emergency settings, fast access to medical imaging for diagnostic is pivotal for clinical decision making. Hence, a need has emerged for solutions that allow rapid access to images on small mobile devices (SMD) without local data storage. Our objective was to evaluate access times to full quality anonymized DICOM datasets, comparing standard access through an authorized hospital computer (AHC) to a zero-footprint teleradiology technology (ZTT) used on a personal computer (PC) or SMD using national and international networks at a regional neurosurgical center. Image datasets were sent to a senior neurosurgeon, outside the hospital network using either an AHC and a VPN connection or a ZTT (Image Over Globe (IOG)), on a PC or an SMD. Time to access DICOM images was measured using both solutions. The mean time using AHC and VPN was 250 ± 10 s (median 249 s (233-274)) while the same procedure using IOG took 50 ± 8 s (median 49 s (42-60)) on a PC and 47 ± 20 s (median 39 (33-88)) on a SMD. Similarly, an international consultation was performed requiring 23 ± 5 s (median 21 (16-33)) and 27 ± 1 s (median 27 (25-29)) for PC and SMD respectively. IOG is a secure, rapid and easy to use telemedicine technology facilitating efficient clinical decision making and remote consultations.

Indexed as

clinical decision-makingneurosurgeryremote consultationtelemedicineteleradiology

Identifiers

PMID34441347
PMCPMC8391712

What OpenQuestion holds

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Registered trials

None linked

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.