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Utility of Dual-Energy Computed Tomography in Clinical Conundra. | LitMetric

AI Article Synopsis

  • Advancements in medical technology, specifically Dual-Energy Computed Tomography (DECT), enhance the ability to diagnose diseases, overcoming limitations of traditional Single-Energy Computed Tomography (SECT).* -
  • DECT, which has evolved since its introduction in 2006, offers various techniques like virtual monoenergetic imaging and iodine quantification that help radiologists identify pathologies that SECT might miss.* -
  • The article provides an overview of DECT principles, systems, and practical applications across different medical fields such as Gastrointestinal and Musculoskeletal imaging to improve diagnostic confidence.*

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11012177PMC
http://dx.doi.org/10.3390/diagnostics14070775DOI Listing

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