Literature DB >> 30564956

Centralized Clinical Trial Imaging Data Management: Practical Guidance from a Comprehensive Cancer Center's Experience.

Brandon Lee1, A Abbott2, S Davidson3, L Syrkin2, G LeFever2, A D Van den Abbeele2,4,5.   

Abstract

Medical imaging is an integral part of clinical trial research and it must be managed properly to provide accurate data to the sponsor in a timely manner (Clune in Cancer Inform 4:33-56, 2007; Wang et al. in Proc SPIE Int Soc Opt Eng 7967, 2011). Standardized workflows for site qualification, protocol preparation, data storage, retrieval, de-identification, submission, and query resolution are paramount to achieve quality clinical trial data management such as reducing the number of imaging protocol deviations and avoiding delays in data transfer. Centralization of data management and implementation of relational databases and electronic workflows can help maintain consistency and accuracy of imaging data. This technical note aims at sharing the practical implementation of our centralized clinical trial imaging data management processes to avoid the fragmentation of tasks among various disease centers and research staff, and enable us to provide quality, accurate, and timely imaging data to clinical trial sponsors.

Entities:  

Keywords:  Clinical trial and imaging data management; Imaging de-identification; Quality improvement; Relational database; Web form; Workflow

Year:  2019        PMID: 30564956      PMCID: PMC6737111          DOI: 10.1007/s10278-018-0161-0

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  8 in total

1.  Workflow optimization: current trends and future directions.

Authors:  Bruce Reiner; Eliot Siegel; John A Carrino
Journal:  J Digit Imaging       Date:  2002-12-17       Impact factor: 4.056

2.  SCAR Radiologic Technologist Survey: analysis of the impact of digital technologies on productivity.

Authors:  Bruce I Reiner; Eliot L Siegel; John A Carrino; Mitchell M Goldburgh
Journal:  J Digit Imaging       Date:  2002-12-17       Impact factor: 4.056

3.  SCAR Radiologic Technologist Survey: analysis of technologist workforce and staffing.

Authors:  Bruce Reiner; Eliot Siegel; John A Carrino; Ceela McElveny
Journal:  J Digit Imaging       Date:  2002-12-17       Impact factor: 4.056

Review 4.  Whitepapers on imaging infrastructure for research: Part 1: General workflow considerations.

Authors:  Bradley J Erickson; Tony Pan; Daniel S Marcus
Journal:  J Digit Imaging       Date:  2012-08       Impact factor: 4.056

5.  Electronic workflow for imaging in clinical research.

Authors:  Rebecca A Hedges; Danielle Goodman; Peter B Sachs
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

6.  Towards Building High Performance Medical Image Management System for Clinical Trials.

Authors:  Fusheng Wang; Rubao Lee; Xiaodong Zhang; Joel Saltz
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011

7.  A filmless radiology department in a full digital regional hospital: quantitative evaluation of the increased quality and efficiency.

Authors:  Andrea Nitrosi; Giovanni Borasi; Franco Nicoli; Gino Modigliani; Andrea Botti; Marco Bertolini; Pietro Notari
Journal:  J Digit Imaging       Date:  2007-02-23       Impact factor: 4.056

8.  DICOM structured reporting and cancer clinical trials results.

Authors:  David A Clunie
Journal:  Cancer Inform       Date:  2007-05-12
  8 in total

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