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Utility of Dual-Energy Computed Tomography in Clinical Conundra.
- Source :
-
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Apr 07; Vol. 14 (7). Date of Electronic Publication: 2024 Apr 07. - Publication Year :
- 2024
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Abstract
- Advancing medical technology revolutionizes our ability to diagnose various disease processes. Conventional Single-Energy Computed Tomography (SECT) has multiple inherent limitations for providing definite diagnoses in certain clinical contexts. Dual-Energy Computed Tomography (DECT) has been in use since 2006 and has constantly evolved providing various applications to assist radiologists in reaching certain diagnoses SECT is rather unable to identify. DECT may also complement the role of SECT by supporting radiologists to confidently make diagnoses in certain clinically challenging scenarios. In this review article, we briefly describe the principles of X-ray attenuation. We detail principles for DECT and describe multiple systems associated with this technology. We describe various DECT techniques and algorithms including virtual monoenergetic imaging (VMI), virtual non-contrast (VNC) imaging, Iodine quantification techniques including Iodine overlay map (IOM), and two- and three-material decomposition algorithms that can be utilized to demonstrate a multitude of pathologies. Lastly, we provide our readers commentary on examples pertaining to the practical implementation of DECT's diverse techniques in the Gastrointestinal, Genitourinary, Biliary, Musculoskeletal, and Neuroradiology systems.<br />Competing Interests: Faisal Khosa is the recipient of the Michael Smith Health research BC award (2023-2028). Vicenza Granata is involved with the following study: PRESTO-1 STUDY: precision therapeutic strategies for the treatment of colorectal cancer and HCC. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Details
- Language :
- English
- ISSN :
- 2075-4418
- Volume :
- 14
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Diagnostics (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 38611688
- Full Text :
- https://doi.org/10.3390/diagnostics14070775