Literature DB >> 19179242

IT tools will be critical in helping reduce radiation exposure from medical imaging.

Luciano M Prevedello1, Aaron D Sodickson, Katherine P Andriole, Ramin Khorasani.   

Abstract

Mesh：

Year:  2009        PMID： 19179242     DOI： 10.1016/j.jacr.2008.11.003

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN： 1546-1440            Impact factor:   5.532


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  5 in total

1.  An automated DICOM database capable of arbitrary data mining (including radiation dose indicators) for quality monitoring.

Authors:  Shanshan Wang; William Pavlicek; Catherine C Roberts; Steve G Langer; Muhong Zhang; Mengqi Hu; Richard L Morin; Beth A Schueler; Clinton V Wellnitz; Teresa Wu
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

2.  Radiation exposure from CT scans: how to close our knowledge gaps, monitor and safeguard exposure--proceedings and recommendations of the Radiation Dose Summit, sponsored by NIBIB, February 24-25, 2011.

Authors:  John M Boone; William R Hendee; Michael F McNitt-Gray; Steven E Seltzer
Journal:  Radiology       Date:  2012-09-10       Impact factor: 11.105

3.  Estimating patient dose from x-ray tube output metrics: automated measurement of patient size from CT images enables large-scale size-specific dose estimates.

Authors:  Ichiro Ikuta; Graham I Warden; Katherine P Andriole; Ramin Khorasani; Aaron Sodickson
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

4.  The communication of the radiation risk from CT in relation to its clinical benefit in the era of personalized medicine: part 2: benefits versus risk of CT.

Authors:  Sjirk J Westra
Journal:  Pediatr Radiol       Date:  2014-10-11

5.  Clinicians' justification of imaging: do radiation issues play a role?

Authors:  Lars Borgen; Erling Stranden; Ansgar Espeland
Journal:  Insights Imaging       Date:  2010-06-23
  5 in total

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