Dual-energy CT in head and neck applications

dc.contributor.authorTunlayadechanont P.
dc.contributor.authorSananmuang T.
dc.contributor.correspondenceTunlayadechanont P.
dc.contributor.otherMahidol University
dc.date.accessioned2025-01-23T18:57:57Z
dc.date.available2025-01-23T18:57:57Z
dc.date.issued2025-01-01
dc.description.abstractDual-energy CT (DECT), also known as spectral CT, has advanced diagnostic capabilities in head and neck pathologies beyond those of conventional single-energy CT (SECT). By having images at two distinct energy levels, DECT generates virtual monoenergetic images (VMIs), iodine maps, and quantitative features such as iodine concentration (IC) and spectral Hounsfield unit attenuation curves (SHUAC), which leads to enhancing tissue characterization, reducing artifacts, and differentiating head and neck pathologies. This review highlights DECT’s applications in evaluating head and neck squamous cell carcinoma (SCC), thyroid cartilage invasion, cervical lymph node metastasis, radiation therapy planning, post-treatment assessment, and role in other head and neck conditions, such as infection and sialolithiasis. Additionally, it explores emerging applications of DECT in radiomics and artificial intelligence. The review also discusses about integrating DECT into clinical practice requires overcoming workflow challenges and ensuring radiologist proficiency with its diverse image reconstructions. As DECT technology evolves, its integration promises to further enhance the efficacy of managing head and neck pathologies.
dc.identifier.citationNeuroradiology Journal (2025)
dc.identifier.doi10.1177/19714009251313507
dc.identifier.eissn23851996
dc.identifier.issn19714009
dc.identifier.scopus2-s2.0-85214532412
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/102969
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleDual-energy CT in head and neck applications
dc.typeReview
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85214532412&origin=inward
oaire.citation.titleNeuroradiology Journal
oairecerif.author.affiliationRamathibodi Hospital

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