Literature DB >> 28476243

Advanced dual-energy CT applications for the evaluation of the soft tissues of the neck.

R Forghani1, S K Mukherji2.   

Abstract

There are multiple emerging advanced computed tomography (CT) applications for the evaluation of the neck, many based on dual-energy CT (DECT). DECT is an advanced form of CT in which scan acquisition is performed at two different energies, enabling spectral tissue characterisation beyond what is possible with conventional single-energy CT and potentially providing a new horizon for quantitative analysis and tissue characterisation, particularly in oncological imaging. The purpose of this review is to familiarise the reader with DECT principles and review different clinical applications for the evaluation of the soft tissues of the neck. The article will begin with an overview of DECT scan acquisition, material characterisation, reconstructions, and basic considerations for implementation in the clinical setting. This will then be followed by a review of different clinical applications. The focus will be on oncological imaging, but artefact reduction and other miscellaneous applications will also be discussed.
Copyright © 2017 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28476243     DOI: 10.1016/j.crad.2017.04.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Spectral multi-energy CT texture analysis with machine learning for tissue classification: an investigation using classification of benign parotid tumours as a testing paradigm.

Authors:  Eiman Al Ajmi; Behzad Forghani; Caroline Reinhold; Maryam Bayat; Reza Forghani
Journal:  Eur Radiol       Date:  2018-01-02       Impact factor: 5.315

2.  Improved detection rates and treatment planning of head and neck cancer using dual-layer spectral CT.

Authors:  Fabian K Lohöfer; Georgios A Kaissis; Frances L Köster; Sebastian Ziegelmayer; Ingo Einspieler; Carlos Gerngross; Michael Rasper; Peter B Noel; Steffen Koerdt; Andreas Fichter; Ernst J Rummeny; Rickmer F Braren
Journal:  Eur Radiol       Date:  2018-05-28       Impact factor: 5.315

3.  Improving Structure Delineation for Radiation Therapy Planning Using Dual-Energy CT.

Authors:  George Noid; Justin Zhu; An Tai; Nilesh Mistry; Diane Schott; Douglas Prah; Eric Paulson; Christopher Schultz; X Allen Li
Journal:  Front Oncol       Date:  2020-08-28       Impact factor: 6.244

4.  The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification.

Authors:  Qingyun Wen; Yong Yue; Jin Shang; Xiaomei Lu; Lu Gao; Yang Hou
Journal:  Quant Imaging Med Surg       Date:  2021-02

Review 5.  Technical Principles of Dual-Energy Cone Beam Computed Tomography and Clinical Applications for Radiation Therapy.

Authors:  Shailaja Sajja; Young Lee; Markus Eriksson; Håkan Nordström; Arjun Sahgal; Masoud Hashemi; James G Mainprize; Mark Ruschin
Journal:  Adv Radiat Oncol       Date:  2019-07-30

6.  Comparison of tumor delineation using dual energy computed tomography versus magnetic resonance imaging in head and neck cancer re-irradiation cases.

Authors:  Sweet Ping Ng; Carlos E Cardenas; Hesham Elhalawani; Courtney Pollard; Baher Elgohari; Penny Fang; Mohamed Meheissen; Nandita Guha-Thakurta; Houda Bahig; Jason M Johnson; Mona Kamal; Adam S Garden; Jay P Reddy; Shirley Y Su; Renata Ferrarotto; Steven J Frank; G Brandon Gunn; Amy C Moreno; David I Rosenthal; Clifton D Fuller; Jack Phan
Journal:  Phys Imaging Radiat Oncol       Date:  2020-04-29

Review 7.  Parathyroid Imaging: Past, Present, and Future.

Authors:  Michael A Morris; Babak Saboury; Mark Ahlman; Ashkan A Malayeri; Elizabeth C Jones; Clara C Chen; Corina Millo
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-25       Impact factor: 5.555

  7 in total

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