Document Detail


3D CT versus axial helical CT versus conventional tomography in the classification of acetabular fractures: a ROC analysis.
MedLine Citation:
PMID:  11977949     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIM: To assess the diagnostic power of three-dimensional computed tomography (3D CT), axial helical computed tomography (CT) and conventional tomography in the classification of acetabular fractures by interdisciplinary review. MATERIALS AND METHODS: Receiver operating characteristics (ROCs) were assessed for two radiologists and two surgeons blinded to the presence of acetabular fractures in an animal model (a total of 62 porcine hips, 40 of them with artificial acetabular fractures). Main target parameter was the diagnostic accuracy in the classification of the artificial fractures following Judet et al. RESULTS: ROC analysis for radiologists showed A(z) values of 0.83 for 3D CT, 0.81 for axial helical CT, and 0.78 for conventional tomography; differences between the three techniques were not significant (P = 0.46-0.73). A(z) values for the surgeons were 0.87 for 3D CT, 0.68 for axial helical CT, and 0.60 for conventional tomography; 3D CT was significantly better than axial helical CT (P = 0.01) and conventional tomography (P = 0.001). The differences between axial helical CT and conventional tomography were not significant (P = 0.37). CONCLUSION: Acetabular fractures are best classified by 3D CT, followed by axial helical CT and conventional tomography when assessed by surgeons. 3D CT did not provide any additional significant benefit in the classification performed by radiologists.
Authors:
Ralph Kickuth; Ulf Laufer; Guido Hartung; Christian Gruening; Christoph Stueckle; Johannes Kirchner
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Publication Detail:
Type:  Comparative Study; Journal Article    
Journal Detail:
Title:  Clinical radiology     Volume:  57     ISSN:  0009-9260     ISO Abbreviation:  Clin Radiol     Publication Date:  2002 Feb 
Date Detail:
Created Date:  2002-04-29     Completed Date:  2002-05-06     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  1306016     Medline TA:  Clin Radiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  140-5     Citation Subset:  IM    
Copyright Information:
Copyright 2002 The Royal College of Radiologists.
Affiliation:
Department of Radiology, Marienhospital Herne, University of Bochum, Herne, Germany.
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MeSH Terms
Descriptor/Qualifier:
Acetabulum / injuries*,  radiography
Animals
Fractures, Bone / radiography*
General Surgery
Models, Animal
Predictive Value of Tests
ROC Curve
Radiology
Swine
Tomography, X-Ray Computed / methods*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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