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In Neuroimaging clinics of North America

Multiple applications of dual energy computed tomography (DECT) have been described for the evaluation of disorders in the head and neck, especially in oncology. We review the body of evidence suggesting advantages of DECT for the evaluation of the neck compared with conventional single energy computed tomography scans, but the full potential of DECT is still to be realized. There is early evidence suggesting significant advantages of DECT for the extraction of quantitative biomarkers using radiomics and machine learning, representing a new horizon that may enable this technology to reach its full potential.

Sananmuang Thiparom, Agarwal Mohit, Maleki Farhad, Muthukrishnan Nikesh, Marquez Juan Camilo, Chankowsky Jeffrey, Forghani Reza


Deep neural networks, Dual energy CT, Head and neck squamous cell carcinoma, Machine learning, Radiomics, Spectral CT, Texture analysis, Thyroid cartilage invasion