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

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

Journal

Neuroimaging clinics of North America
ISSN: 1557-9867
Titre abrégé: Neuroimaging Clin N Am
Pays: United States
ID NLM: 9211377

Informations de publication

Date de publication:
Aug 2020
Historique:
entrez: 1 7 2020
pubmed: 1 7 2020
medline: 27 4 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32600633
pii: S1052-5149(20)30026-5
doi: 10.1016/j.nic.2020.04.003
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

311-323

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure R. Forghani is a clinical research scholar (chercheur-boursier clinicien) supported by the FRQS (Fonds de recherche en santé du Québec). R. Forghani has acted as a consultant and speaker and has a research agreement and research support from GE Healthcare. R. Forghani is also founder and stockholder of 4intelligent Inc.

Auteurs

Thiparom Sananmuang (T)

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.

Mohit Agarwal (M)

Department of Radiology, Section of Neuroradiology, Froedtert and Medical College of Wisconsin, Milwaukee, 9200 W Wisconsin Avenue, WI 53226, USA.

Farhad Maleki (F)

Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada.

Nikesh Muthukrishnan (N)

Augmented Intelligence & Precision Health Laboratory, Department of Radiology, Research Institute of the McGill University Health Centre, 1001 Decarie Boulevard, Montreal, Quebec H4A 3J1, Canada.

Juan Camilo Marquez (JC)

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.

Jeffrey Chankowsky (J)

Department of Radiology, McGill University, 1650 Cedar Avenue, Montreal, Quebec H3G 1A4, Canada.

Reza Forghani (R)

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.

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