Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

DOI: 10.1148/radiol.2352040307
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Blackmore, C. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Blackmore, C. C.
(Radiology 2005;235:371-374.)
© RSNA, 2005

Special Reviews

Clinical Prediction Rules in Trauma Imaging: Who, How, and Why?1

C. Craig Blackmore, MD, MPH

1 From the Department of Radiology and Harborview Injury Prevention and Research Center, Harborview Medical Center, University of Washington, Box 359728, 325 Ninth Ave, Seattle, WA 98104. From the 2003 RSNA Annual Meeting. Received February 16, 2004; revision requested April 21; revision received May 29; accepted June 22. Supported in part by AHRQ grant K08 HS11291. Address correspondence to the author (e-mail: craige@u.washington.edu).

Clinical prediction rules are multifactorial tools used to aid in clinical decision making. In radiology, clinical prediction rules are an important method for determining who should undergo imaging and, in combination with cost-effectiveness analysis, how imaging should be performed. To be useful, clinical prediction rules should be clinically important, have face validity, be reproducible and easy to use, be clinically relevant, and suggest a course of action. To insure generalizability, clinical prediction rules should also be validated in subjects distinct from those used to develop the rule. In this review, several examples from trauma imaging are used to demonstrate the development, validation, and use of clinical prediction rules.

© RSNA, 2005




This article has been cited by other articles:


Home page
 Am. J. Roentgenol.Home page
M. Brink, J. Deunk, H. M. Dekker, D. R. Kool, M. J. R. Edwards, A. B. van Vugt, and J. G. Blickman
Added Value of Routine Chest MDCT After Blunt Trauma: Evaluation of Additional Findings and Impact on Patient Management
Am. J. Roentgenol., June 1, 2008; 190(6): 1591 - 1598.
[Abstract] [Full Text] [PDF]