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Spectral CT: Current Liver Applications
Using two different energy levels, dual-energy computed tomography (DECT) allows for material differentiation, improves image quality and iodine conspicuity, and allows researchers the opportunity to determine iodine contrast and radiation dose reduction. Several commercialized platforms with differ...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217594/ https://www.ncbi.nlm.nih.gov/pubmed/37238163 http://dx.doi.org/10.3390/diagnostics13101673 |
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author | Borges, Ana P. Antunes, Célia Caseiro-Alves, Filipe |
author_facet | Borges, Ana P. Antunes, Célia Caseiro-Alves, Filipe |
author_sort | Borges, Ana P. |
collection | PubMed |
description | Using two different energy levels, dual-energy computed tomography (DECT) allows for material differentiation, improves image quality and iodine conspicuity, and allows researchers the opportunity to determine iodine contrast and radiation dose reduction. Several commercialized platforms with different acquisition techniques are constantly being improved. Furthermore, DECT clinical applications and advantages are continually being reported in a wide range of diseases. We aimed to review the current applications of and challenges in using DECT in the treatment of liver diseases. The greater contrast provided by low-energy reconstructed images and the capability of iodine quantification have been mostly valuable for lesion detection and characterization, accurate staging, treatment response assessment, and thrombi characterization. Material decomposition techniques allow for the non-invasive quantification of fat/iron deposition and fibrosis. Reduced image quality with larger body sizes, cross-vendor and scanner variability, and long reconstruction time are among the limitations of DECT. Promising techniques for improving image quality with lower radiation dose include the deep learning imaging reconstruction method and novel spectral photon-counting computed tomography. |
format | Online Article Text |
id | pubmed-10217594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102175942023-05-27 Spectral CT: Current Liver Applications Borges, Ana P. Antunes, Célia Caseiro-Alves, Filipe Diagnostics (Basel) Review Using two different energy levels, dual-energy computed tomography (DECT) allows for material differentiation, improves image quality and iodine conspicuity, and allows researchers the opportunity to determine iodine contrast and radiation dose reduction. Several commercialized platforms with different acquisition techniques are constantly being improved. Furthermore, DECT clinical applications and advantages are continually being reported in a wide range of diseases. We aimed to review the current applications of and challenges in using DECT in the treatment of liver diseases. The greater contrast provided by low-energy reconstructed images and the capability of iodine quantification have been mostly valuable for lesion detection and characterization, accurate staging, treatment response assessment, and thrombi characterization. Material decomposition techniques allow for the non-invasive quantification of fat/iron deposition and fibrosis. Reduced image quality with larger body sizes, cross-vendor and scanner variability, and long reconstruction time are among the limitations of DECT. Promising techniques for improving image quality with lower radiation dose include the deep learning imaging reconstruction method and novel spectral photon-counting computed tomography. MDPI 2023-05-09 /pmc/articles/PMC10217594/ /pubmed/37238163 http://dx.doi.org/10.3390/diagnostics13101673 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Borges, Ana P. Antunes, Célia Caseiro-Alves, Filipe Spectral CT: Current Liver Applications |
title | Spectral CT: Current Liver Applications |
title_full | Spectral CT: Current Liver Applications |
title_fullStr | Spectral CT: Current Liver Applications |
title_full_unstemmed | Spectral CT: Current Liver Applications |
title_short | Spectral CT: Current Liver Applications |
title_sort | spectral ct: current liver applications |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217594/ https://www.ncbi.nlm.nih.gov/pubmed/37238163 http://dx.doi.org/10.3390/diagnostics13101673 |
work_keys_str_mv | AT borgesanap spectralctcurrentliverapplications AT antunescelia spectralctcurrentliverapplications AT caseiroalvesfilipe spectralctcurrentliverapplications |