ReviewJournal of digital imaging2012
Leveraging Internet technologies with DICOM WADO.
Review in Journal of digital imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Secondary use of radiological imaging data: Vanderbilt's ImageVU approach.Journal of biomedical informatics · 2025Article
- Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension.Journal of imaging informatics in medicine · 2024Article
- ePAD: An Image Annotation and Analysis Platform for Quantitative Imaging.Tomography (Ann Arbor, Mich.) · 2019Article
- Patient-Centered Radiology with FHIR: an Introduction to the Use of FHIR to Offer Radiology a Clinically Integrated Platform.Journal of digital imaging · 2018Review
- JavaScript Access to DICOM Network and Objects in Web Browser.Journal of digital imaging · 2017Article
- SmartWADO: an Extensible WADO Middleware for Regional Medical Image Sharing.Journal of digital imaging · 2015Review
- A web service system supporting three-dimensional post-processing of medical images based on WADO protocol.Journal of medical systems · 2015Article
- A medical application integrating remote 3D visualization tools to access picture archiving and communication system on mobile devices.Journal of medical systems · 2014Article
- Automated tracking of quantitative assessments of tumor burden in clinical trials.Translational oncology · 2014Article
- Ontology-based image navigation: exploring 3.0-T MR neurography of the brachial plexus using AIM and RadLex.Radiographics : a review publication of the Radiological Society of North America, IncArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The digital imaging and communications in medicine (DICOM) 3.0 standard was first officially ratified by the national electrical manufacturers association in 1993. The success of the DICOM open standard cannot be overstated in its ability to enable an explosion of innovation in the best of breed picture archiving and communication systems (PACS) industry. At the heart of the success of allowing interoperability between disparate systems have been three fundamental DICOM operations: C-MOVE, C-FIND, and C-STORE. DICOM C-MOVE oversees the transfer of DICOM Objects between two systems using C-STORE. DICOM C-FIND negotiates the ability to discover DICOM objects on another node. This paper will discuss the efforts within the DICOM standard to adapt this core functionality to Internet standards. These newer DICOM standards look to address the next generation of PACS challenges including highly distributed mobile acquisition systems and viewing platforms.
Indexed as
Identifiers
What OpenQuestion holds
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.