Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

The diagnostic value of the sagittal multiplanar reconstruction CT images for nasal bone fractures

Authors
Kim, B. H.Seo, H. S.Kim, A. -Y.Lee, Y. S.Lee, Y. H.Suh, S. -I.Lee, D. H.
Issue Date
4월-2010
Publisher
W B SAUNDERS CO LTD
Citation
CLINICAL RADIOLOGY, v.65, no.4, pp.308 - 314
Indexed
SCIE
SCOPUS
Journal Title
CLINICAL RADIOLOGY
Volume
65
Number
4
Start Page
308
End Page
314
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/116698
DOI
10.1016/j.crad.2009.12.006
ISSN
0009-9260
Abstract
AIM: To compare the diagnostic performance of sagittal multiplanar reconstruction (MPR) images and axial images for the detection of a nasal bone fracture. MATERIALS AND METHODS: This prospective study included 533 consecutive patients who underwent three-dimensional images with 64-section multidetector-row CT for the evaluation of a facial bone fracture between June 2007 and May 2008 (366 males; 167 females; mean age standard deviation 31.1 +/- 21.2 years; age range 1-92 years). Two observers independently scored the possibility of a nasal bone fracture on axial and sagittal images. Receiver operating characteristic (ROC) curve analysis was performed. RESULTS: The Az values of the sagittal images were higher than those of the axial images for both observers (p = 0.002 and 0.010, respectively) with higher accuracy (p < 0.001 and 0.016, respectively). The sensitivities of sagittal images were superior to those of axial images, especially for type 1 simple nasal bone fractures with no or minimal displacement (observer 1, 98.6 versus 72.8%; observer 2, 84.9 versus 71%). CONCLUSION: Sagittal MPR facial bone CT images provided superior diagnostic performance, and their addition to axial images is useful for the evaluation of nasal bone fractures. (c) 2010 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Suh, Sang Il photo

Suh, Sang Il
의과대학 (의학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE