Dual Energy Computed Tomography in Head and Neck Imaging: Pushing the Envelope

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

doi:10.1016/j.nic.2020.04.003

Dual Energy Computed Tomography in Head and Neck Imaging: Pushing the Envelope

Neuroimaging Clin N Am. 2020 Aug;30(3):311-323. doi: 10.1016/j.nic.2020.04.003. Epub 2020 Jun 10.

Authors

Thiparom Sananmuang¹, Mohit Agarwal², Farhad Maleki³, Nikesh Muthukrishnan³, Juan Camilo Marquez⁴, Jeffrey Chankowsky⁵, Reza Forghani⁶

Affiliations

¹ Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada; Department of Diagnostic and Therapeutic Radiology and Research, Faculty of Medicine, Ramathibodi Hospital, 270 Thanon Rama VI, Thung Phaya Thai, Ratchathewi, Bangkok 10400, Thailand.
² Department of Radiology, Section of Neuroradiology, Froedtert and Medical College of Wisconsin, Milwaukee, 9200 W Wisconsin Avenue, WI 53226, USA.
³ Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada.
⁴ Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada; Department of Radiology, McGill University, 1650 Cedar Avenue, Montreal, Quebec H3G 1A4, Canada.
⁵ Department of Radiology, McGill University, 1650 Cedar Avenue, Montreal, Quebec H3G 1A4, Canada.
⁶ Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada; Department of Radiology, McGill University, 1650 Cedar Avenue, Montreal, Quebec H3G 1A4, Canada; Segal Cancer Centre, Lady Davis Institute for Medical Research, Jewish General Hospital, 3755 Cote Suite-Catherine Road, Montreal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, McGill University, Suite 720, 5100 Maisonneuve Boulevard West, Montreal, Quebec H4A3T2, Canada; Department of Otolaryngology, Head and Neck Surgery, Royal Victoria Hospital, McGill University Health Centre, 1001 boul. Decarie Boulevard, Montreal, Quebec H3A 3J1, Canada. Electronic address: reza.forghani@mcgill.ca.

PMID: 32600633
DOI: 10.1016/j.nic.2020.04.003

Abstract

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.

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

Publication types

Review

MeSH terms

Head and Neck Neoplasms / diagnostic imaging*
Humans
Radiography, Dual-Energy Scanned Projection / methods*
Tomography, X-Ray Computed / methods*