Document Detail


How will you need me, how will you read me, when I'm 64 (or more!)?: volume computed tomographic scanning and information overload in the emergency department.
MedLine Citation:
PMID:  20674768     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Computed tomographic (CT) scanning technology now employs up to 320 detector rows of 0.5-mm width and allows rapid acquisition of isotropic volume datasets over the entire body. Data from a single CT acquisition can be reconstructed into image series that would formerly have required multiple acquisitions. Small isotropic voxels permit scan parameters to be general while reconstruction algorithms remain specific to anatomy. While this results in more efficient operation in the Emergency Department, it necessitates new ways of displaying, interpreting, and archiving the information. Critical decisions include how much of the patient to scan and how to time contrast injections when imaging multiple organs. These choices must be made in light of dose considerations to the patient and the general population of patients. The technical basis of high-density CT scanning is discussed, including detector configurations and reconstruction techniques. Volumetric scanning in the Emergency Department can improve patient care but requires a change of technical habits.
Authors:
David P Chason; Jon A Anderson; Jason S Stephens; Richard A Suss; Jeffrey B Guild; Timothy J Blackburn; Julie G Champine; Thomas J Lane
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Current problems in diagnostic radiology     Volume:  39     ISSN:  1535-6302     ISO Abbreviation:  Curr Probl Diagn Radiol     Publication Date:    2010 Sep-Oct
Date Detail:
Created Date:  2010-08-02     Completed Date:  2010-12-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7607123     Medline TA:  Curr Probl Diagn Radiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  212-26     Citation Subset:  IM    
Copyright Information:
2010 Mosby, Inc. All rights reserved.
Affiliation:
Department of Radiology, The University of Texas, Southwestern Medical Center at Dallas, Dallas, TX 75390-8896, USA. david.chason@utsouthwestern.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Contrast Media / diagnostic use
Decision Making
Emergency Service, Hospital*
Humans
Quality Assurance, Health Care
Radiation Dosage
Radiographic Image Interpretation, Computer-Assisted
Radiology Information Systems / organization & administration
Time Factors
Tomography, X-Ray Computed / methods,  utilization*
Chemical
Reg. No./Substance:
0/Contrast Media

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


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