Evidence map›Paper›PMID 25870169›Full record

ArticleComputers in biology and medicine2016

Development of a novel imaging informatics-based system with an intelligent workflow engine (IWEIS) to support imaging-based clinical trials.

Ximing Wang, Brent J Liu, Clarisa Martinez, Xuejun Zhang, Carolee J Winstein

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Ximing WangImage Processing and Informatics Lab, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States. Electronic address: ximingwa@usc.edu.
Brent J LiuImage Processing and Informatics Lab, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, United States.
Clarisa MartinezDivision of Biokinesiology & Physical Therapy, University of Southern California, Los Angeles, CA 90089, United States.
Xuejun ZhangSchool of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi 530004, PR China.
Carolee J WinsteinDivision of Biokinesiology & Physical Therapy, University of Southern California, Los Angeles, CA 90089, United States.

Funding

Optimizing the Dose of Rehabilitation After StrokeR01HD065438 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SCHWEIGHOFER, NICOLAS, WINSTEIN, CAROLEE J · 2011 to 2015
$1.9M
NICHD NIH HHS R01 HD065438NICHD NIH HHS R01HD065438
6 · The paper itself

Abstract

Imaging based clinical trials can benefit from a solution to efficiently collect, analyze, and distribute multimedia data at various stages within the workflow. Currently, the data management needs of these trials are typically addressed with custom-built systems. However, software development of the custom-built systems for versatile workflows can be resource-consuming. To address these challenges, we present a system with a workflow engine for imaging based clinical trials. The system enables a project coordinator to build a data collection and management system specifically related to study protocol workflow without programming. Web Access to DICOM Objects (WADO) module with novel features is integrated to further facilitate imaging related study. The system was initially evaluated by an imaging based rehabilitation clinical trial. The evaluation shows that the cost of the development of system can be much reduced compared to the custom-built system. By providing a solution to customize a system and automate the workflow, the system will save on development time and reduce errors especially for imaging clinical trials.

Indexed as

Databases, FactualInternetMedical Informatics ComputingSoftwareClinical Trials as TopicHumansImage Processing, Computer-AssistedImaging-based clinical trialsImaging informatics systemSystem frameworkWorkflow engine

Identifiers

PMID25870169
PMCPMC4586295

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.