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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.
Chason, David P; Anderson, Jon A; Stephens, Jason S; Suss, Richard A; Guild, Jeffrey B; Blackburn, Timothy J; Champine, Julie G; Lane, Thomas J.
Afiliação
  • Chason DP; Department of Radiology, The University of Texas, Southwestern Medical Center at Dallas, Dallas, TX 75390-8896, USA. david.chason@utsouthwestern.edu
Curr Probl Diagn Radiol ; 39(5): 212-26, 2010.
Article em En | MEDLINE | ID: mdl-20674768
ABSTRACT
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Serviço Hospitalar de Emergência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Probl Diagn Radiol Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Serviço Hospitalar de Emergência Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Probl Diagn Radiol Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Estados Unidos