Added value of iodine-specific imaging and virtual non-contrast imaging for gastrointestinal assessment using dual-energy computed tomography.

Autor: Kocher MR; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States., Kovacs MD; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States., Stewart W; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States., Flemming BP; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States., Hinen S; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States., Hardie AD; Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, South Carolina, United States.
Jazyk: angličtina
Zdroj: Journal of clinical imaging science [J Clin Imaging Sci] 2021 Dec 23; Vol. 11, pp. 68. Date of Electronic Publication: 2021 Dec 23 (Print Publication: 2021).
DOI: 10.25259/JCIS_199_2021
Abstrakt: Dual-energy computed tomography (DECT) has become increasingly available and can be readily incorporated into clinical practice. Although DECT can provide a wide variety of spectral imaging reconstructions, most clinically valuable information is available from a limited number of standard image reconstructions including virtual non-contrast and iodine overlay. The combination of these standard reconstructions can be used for specific diagnostic tasks that provide added value over traditional CT protocols. In this pictorial essay, the added value of these standard reconstructed images will be demonstrated by case examples for diseases specifically related to the gastrointestinal system.
Competing Interests: There are no conflicts of interest.
(© 2021 Published by Scientific Scholar on behalf of Journal of Clinical Imaging Science.)
Databáze: MEDLINE
Externí odkaz: