{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T10:58:28Z","timestamp":1770548308582,"version":"3.49.0"},"reference-count":123,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,9]],"date-time":"2023-05-09T00:00:00Z","timestamp":1683590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Diagnostics"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/diagnostics13101673","type":"journal-article","created":{"date-parts":[[2023,5,10]],"date-time":"2023-05-10T01:40:02Z","timestamp":1683682802000},"page":"1673","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Spectral CT: Current Liver Applications"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1846-0251","authenticated-orcid":false,"given":"Ana P.","family":"Borges","sequence":"first","affiliation":[{"name":"Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal"},{"name":"Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal"},{"name":"Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal"}]},{"given":"C\u00e9lia","family":"Antunes","sequence":"additional","affiliation":[{"name":"Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal"},{"name":"Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9397-6149","authenticated-orcid":false,"given":"Filipe","family":"Caseiro-Alves","sequence":"additional","affiliation":[{"name":"Medical Imaging Department, Coimbra University Hospitals, 3004-561 Coimbra, Portugal"},{"name":"Faculty of Medicine, University of Coimbra, 3004-504 Coimbra, Portugal"},{"name":"Academic and Clinical Centre of Coimbra, 3000-370 Coimbra, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,9]]},"reference":[{"key":"ref_1","first-page":"301ct","article-title":"Dual-energy computed tomography","volume":"86","author":"Furlow","year":"2015","journal-title":"Radiol. 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