Evidence map›Paper›PMID 22941984›Full record

ArticleStudies in health technology and informatics2012

A system architecture for sharing de-identified, research-ready brain scans and health information across clinical imaging centers.

Ann L Chervenak, Theo G M van Erp, Carl Kesselman, Mike D'Arcy, Janet Sobell, David Keator, Lisa Dahm, Jim Murry, Meng Law, Anton Hasso and 3 more

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 8% 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.

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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Ann L ChervenakUniversity of Southern California, CA, USA.
Theo G M van Erp
Carl Kesselman
Mike D'Arcy
Janet Sobell
David Keator
Lisa Dahm
Jim Murry
Meng Law
Anton Hasso
Joseph Ames
Fabio Macciardi
Steven G Potkin
University of California, Irvine · USSouthern California University for Professional Studies · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
LOS ANGELES BASIN CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR031986 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2010 to 2011
$21.1M
BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)U24RR025736 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KESSELMAN, CARL · 2009 to 2011
$15.0M
INSTITUTE FOR CLINICAL AND TRANSLATIONAL SCIENCEUL1RR031985 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2010 to 2011
$7.2M
COLLABORATIVE TOOLS SUPPORT NETWORK FOR THE BIRNU24RR026057 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2009 to 2011
$2.1M
NCATS NIH HHS UL1 TR000130NCRR NIH HHS 1 UL1 RR031986-01NCRR NIH HHS RR031985-01NCRR NIH HHS U24 RR025736NCRR NIH HHS U24 RR025736-01NCRR NIH HHS U24 RR026057NCRR NIH HHS UL1 RR031985NCRR NIH HHS UL1 RR031986
6 · The paper itself

Abstract

Progress in our understanding of brain disorders increasingly relies on the costly collection of large standardized brain magnetic resonance imaging (MRI) data sets. Moreover, the clinical interpretation of brain scans benefits from compare and contrast analyses of scans from patients with similar, and sometimes rare, demographic, diagnostic, and treatment status. A solution to both needs is to acquire standardized, research-ready clinical brain scans and to build the information technology infrastructure to share such scans, along with other pertinent information, across hospitals. This paper describes the design, deployment, and operation of a federated imaging system that captures and shares standardized, de-identified clinical brain images in a federation across multiple institutions. In addition to describing innovative aspects of the system architecture and our initial testing of the deployed infrastructure, we also describe the Standardized Imaging Protocol (SIP) developed for the project and our interactions with the Institutional Review Board (IRB) regarding handling patient data in the federated environment.

Indexed as

InternetBrainBrain DiseasesHumansInformation DisseminationInformation Storage and RetrievalMedical InformaticsRadiology Information Systems

Identifiers

PMID22941984
PMCPMC4478050
OpenAlexW2247606949

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.