Literature DB >> 21969661

RADIANCE: An automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates.

Tessa S Cook1, Stefan L Zimmerman, Scott R Steingall, Andrew D A Maidment, Woojin Kim, William W Boonn.   

Abstract

There is growing interest in the ability to monitor, track, and report exposure to radiation from medical imaging. Historically, however, dose information has been stored on an image-based dose sheet, an arrangement that precludes widespread indexing. Although scanner manufacturers are beginning to include dose-related parameters in the Digital Imaging and Communications in Medicine (DICOM) headers of imaging studies, there remains a vast repository of retrospective computed tomographic (CT) data with image-based dose sheets. Consequently, it is difficult for imaging centers to monitor their dose estimates or participate in the American College of Radiology (ACR) Dose Index Registry. An automated extraction software pipeline known as Radiation Dose Intelligent Analytics for CT Examinations (RADIANCE) has been designed that quickly and accurately parses CT dose sheets to extract and archive dose-related parameters. Optical character recognition of information in the dose sheet leads to creation of a text file, which along with the DICOM study header is parsed to extract dose-related data. The data are then stored in a relational database that can be queried for dose monitoring and report creation. RADIANCE allows efficient dose analysis of CT examinations and more effective education of technologists, radiologists, and referring physicians regarding patient exposure to radiation at CT. RADIANCE also allows compliance with the ACR's dose reporting guidelines and greater awareness of patient radiation dose, ultimately resulting in improved patient care and treatment.

Entities:  

Mesh:

Year:  2011        PMID: 21969661     DOI: 10.1148/rg.317115048

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  20 in total

1.  Exposing exposure: automated anatomy-specific CT radiation exposure extraction for quality assurance and radiation monitoring.

Authors:  Aaron Sodickson; Graham I Warden; Cameron E Farkas; Ichiro Ikuta; Luciano M Prevedello; Katherine P Andriole; Ramin Khorasani
Journal:  Radiology       Date:  2012-06-05       Impact factor: 11.105

2.  Falling prey to the sunk cost bias: a potential harm of patient radiation dose histories.

Authors:  Jonathan D Eisenberg; H Benjamin Harvey; Donald A Moore; G Scott Gazelle; Pari V Pandharipande
Journal:  Radiology       Date:  2012-06       Impact factor: 11.105

3.  The role of informatics in health care reform.

Authors:  Yueyi I Liu; Daniel L Rubin
Journal:  Acad Radiol       Date:  2012-07-06       Impact factor: 3.173

Review 4.  [Dose management in radiology: Review of the technological status].

Authors:  M Verius
Journal:  Radiologe       Date:  2015-08       Impact factor: 0.635

5.  A General Framework for Monitoring Image Acquisition Workflow in the Radiology Environment: Timeliness for Acute Stroke CT Imaging.

Authors:  Timothy P Szczykutowicz; Christina L Brunnquell; Gregory D Avey; Carrie Bartels; Daryn S Belden; Richard J Bruce; Aaron S Field; Walter W Peppler; Peter Wasmund; Gary Wendt
Journal:  J Digit Imaging       Date:  2018-04       Impact factor: 4.056

6.  Prioritizing examination-centered over patient-centered dose reduction: a hazard of institutional "benchmarking".

Authors:  Jonathan D Eisenberg; Michael E Gilmore; Mannudeep K Kalra; Chung Yin Kong; Pari V Pandharipande
Journal:  AJR Am J Roentgenol       Date:  2014-05       Impact factor: 3.959

7.  Normalizing Heterogeneous Medical Imaging Data to Measure the Impact of Radiation Dose.

Authors:  Luís A Bastião Silva; Luís S Ribeiro; Milton Santos; Nuno Neves; Dulce Francisco; Carlos Costa; José Luis Oliveira
Journal:  J Digit Imaging       Date:  2015-12       Impact factor: 4.056

Review 8.  We Built This House; It's Time to Move in: Leveraging Existing DICOM Structure to More Completely Utilize Readily Available Detailed Contrast Administration Information.

Authors:  Jeffrey D Hirsch; Eliot L Siegel; Sridhar Balasubramanian; Kenneth C Wang
Journal:  J Digit Imaging       Date:  2015-08       Impact factor: 4.056

9.  An interactive RADIANCE toolkit for customizable CT dose monitoring and reporting.

Authors:  Tessa S Cook; Anand Sundaram; William W Boonn; Woojin Kim
Journal:  J Digit Imaging       Date:  2013-08       Impact factor: 4.056

10.  Patient dose management solution directly integrated in the RIS: "Gray Detector" software.

Authors:  A Nitrosi; A Corazza; M Bertolini; R Sghedoni; P Pattacini; M Iori
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

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