Literature DB >> 28471869

Low-Energy Virtual Monochromatic Dual-Energy Computed Tomography Images for the Evaluation of Head and Neck Squamous Cell Carcinoma: A Study of Tumor Visibility Compared With Single-Energy Computed Tomography and User Acceptance.

Reza Forghani1, Hillary Kelly, Eugene Yu, Manon Belair, Laurent Létourneau-Guillon, Huy Le, Francesca Proulx, Thomas Ong, Xianming Tan, Hugh D Curtin, Mark Levental.   

Abstract

OBJECTIVE: Dual-energy computed tomography (CT) 40-keV virtual monochromatic images (VMIs) have been reported to improve visualization of head and neck squamous cell carcinoma, but a direct comparison to single-energy CT (SECT) is lacking, and there is debate regarding subjective user preference. We compared 40-keV VMIs with SECT and performed a subjective evaluation of their utility and acceptability for clinical use.
METHODS: A total of 60 dual-energy CT and 60 SECT scans from 2 different institutions were evaluated. Tumor conspicuity was evaluated objectively using absolute and relative attenuation and subjectively by 3 head and neck specialists and 3 general radiologists.
RESULTS: Tumors had significantly higher absolute and relative attenuation on 40-keV VMIs (P < 0.0001). Subjectively, the 40-keV VMIs improved visualization, with substantial (κ, 0.61-0.80) to almost perfect (κ, 0.81-1) interrater agreements.
CONCLUSIONS: The 40-keV VMIs improve tumor visibility objectively and subjectively both by head and neck specialists and general radiologists.

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Mesh:

Year:  2017        PMID: 28471869     DOI: 10.1097/RCT.0000000000000571

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 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.  Dual-energy computed tomography of the neck-optimizing tube current settings and radiation dose using a 3D-printed patient phantom.

Authors:  Torsten Diekhoff; Michael Scheel; Wiebke Kress; Bernd Hamm; Paul Jahnke
Journal:  Quant Imaging Med Surg       Date:  2021-04

4.  Dual-energy CT in differentiating benign sinonasal lesions from malignant ones: comparison with simulated single-energy CT, conventional MRI, and DWI.

Authors:  Peng Wang; Zuohua Tang; Zebin Xiao; Rujian Hong; Rong Wang; Yuzhe Wang; Yang Zhan
Journal:  Eur Radiol       Date:  2021-08-24       Impact factor: 5.315

5.  Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

Authors:  Matthew Seidler; Behzad Forghani; Caroline Reinhold; Almudena Pérez-Lara; Griselda Romero-Sanchez; Nikesh Muthukrishnan; Julian L Wichmann; Gabriel Melki; Eugene Yu; Reza Forghani
Journal:  Comput Struct Biotechnol J       Date:  2019-07-16       Impact factor: 7.271

6.  Quantitative Assessment of Thyroid Nodules Using Dual-Energy Computed Tomography: Iodine Concentration Measurement and Multiparametric Texture Analysis for Differentiating between Malignant and Benign Lesions.

Authors:  Hayato Tomita; Hirofumi Kuno; Kotaro Sekiya; Katharina Otani; Osamu Sakai; Baojun Li; Takashi Hiyama; Keiichi Nomura; Hidefumi Mimura; Tatsushi Kobayashi
Journal:  Int J Endocrinol       Date:  2020-03-18       Impact factor: 3.257

7.  Computed tomography pulmonary angiograms using a novel dual-layer spectral detector: Adjusted window settings are essential for diagnostic image quality.

Authors:  Andra-Iza Iuga; Jonas Doerner; Florian Siedek; Stefan Haneder; Jonathan Byrtus; Julian A Luetkens; David Maintz; Tilman Hickethier
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

8.  A New Outlook on the Ability to Accumulate an Iodine Contrast Agent in Solid Lung Tumors Based on Virtual Monochromatic Images in Dual Energy Computed Tomography (DECT): Analysis in Two Phases of Contrast Enhancement.

Authors:  Arkadiusz Zegadło; Magdalena Żabicka; Aleksandra Różyk; Ewa Więsik-Szewczyk
Journal:  J Clin Med       Date:  2021-04-26       Impact factor: 4.241

Review 9.  Radiomics and Artificial Intelligence for Biomarker and Prediction Model Development in Oncology.

Authors:  Reza Forghani; Peter Savadjiev; Avishek Chatterjee; Nikesh Muthukrishnan; Caroline Reinhold; Behzad Forghani
Journal:  Comput Struct Biotechnol J       Date:  2019-07-12       Impact factor: 7.271

  9 in total

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