Literature DB >> 21577123

Dual-energy CT of head and neck cancer: average weighting of low- and high-voltage acquisitions to improve lesion delineation and image quality-initial clinical experience.

Ahmed M Tawfik1, J Matthias Kerl, Ralf W Bauer, Nour-Eldin Nour-Eldin, Nagy N N Naguib, Thomas J Vogl, Martin G Mack.   

Abstract

OBJECTIVES: Mixing low- and high-voltage acquisitions of dual-energy CT (DECT) scan using different weighting factors leads to differences in attenuation values and image quality. The aim of this work was to evaluate whether average weighting of DECT acquisitions could improve delineation of head and neck cancer and image quality.
MATERIALS AND METHODS: Among 60 consecutive patients who underwent DECT scan of the head and neck, 35 patients had positive findings and were included in the study. Images were reconstructed as pure 80 kVp, pure Sn140 kVp, and weighted-average (WA) image datasets from low- and high-voltage acquisitions using 3 different weighting factors (0.3, 0.6, 0.8) incorporating 30%, 60%, 80% from the 80 kVp data, respectively. Lesion contrast-to-noise ratio (CNR), attenuation measurements, and objective noise were compared between different image datasets. Two independent blinded radiologists subjectively rated the overall image quality of each image dataset on a 5-point grading scale comprising lesion delineation, image sharpness, and subjective noise.
RESULTS: Mean venous and tumor enhancement and muscle attenuation increased stepwise with decreasing tube voltage from Sn140 kVp through 80 kVp. CNR increased significantly from Sn140 kVp to weighting factor 0.3 then to weighting factor 0.6 (P < 0.0001). The increase in CNR from weighting factor 0.6 to 0.8 then to 80 kVp was nonsignificant (P = 1.00). The 0.6 weighted-average image dataset received the best image quality score by the 2 readers.
CONCLUSION: Mixing the DE data from the 80 kVp and Sn140 kVp tubes using weighting factor 0.6 (60% from 80 kVp data) could improve lesion CNR and subjective overall image quality (including lesion delineation). This weighting factor was significantly superior to the 0.3 weighting factor which simulates standard 120 kVp acquisition.

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Year:  2012        PMID: 21577123     DOI: 10.1097/RLI.0b013e31821e3062

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  22 in total

Review 1.  Clinical applications of dual-energy CT in head and neck imaging.

Authors:  Daniel Thomas Ginat; Michael Mayich; Laleh Daftari-Besheli; Rajiv Gupta
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-12-04       Impact factor: 2.503

2.  Advanced virtual monochromatic reconstruction of dual-energy unenhanced brain computed tomography in children: comparison of image quality against standard mono-energetic images and conventional polychromatic computed tomography.

Authors:  Juil Park; Young Hun Choi; Jung-Eun Cheon; Woo Sun Kim; In-One Kim; Seong Yong Pak; Bernhard Krauss
Journal:  Pediatr Radiol       Date:  2017-06-27

3.  Dual-energy CT angiography-derived virtual non-contrast images for follow-up of patients with surgically clipped aneurysms: a retrospective study.

Authors:  Su Young Yun; Young Jin Heo; Hae Woong Jeong; Jin Wook Baek; Hye Jung Choo; Gi Won Shin; Sung Tae Kim; Young Gyun Jeong; Ji Young Lee; Hyun Seok Jung
Journal:  Neuroradiology       Date:  2019-01-25       Impact factor: 2.804

Review 4.  Recent developments of dual-energy CT in oncology.

Authors:  David Simons; Marc Kachelriess; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2014-01-09       Impact factor: 5.315

5.  Can virtual non-enhanced CT be used to replace true non-enhanced CT for the detection of palpable cervical lymph nodes? A preliminary study.

Authors:  Yaying Yang; Xiaoxia Jia; Yamin Deng; Jiuhong Chen; Long Jiang Zhang
Journal:  Jpn J Radiol       Date:  2014-04-19       Impact factor: 2.374

6.  Assessment of an Advanced Monoenergetic Reconstruction Technique in Dual-Energy Computed Tomography of Head and Neck Cancer.

Authors:  Moritz H Albrecht; Jan-Erik Scholtz; Johannes Kraft; Ralf W Bauer; Moritz Kaup; Patricia Dewes; Andreas M Bucher; Iris Burck; Jens Wagenblast; Thomas Lehnert; J Matthias Kerl; Thomas J Vogl; Julian L Wichmann
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

7.  Different spectral hounsfield unit curve and high-energy virtual monochromatic image characteristics of squamous cell carcinoma compared with nonossified thyroid cartilage.

Authors:  R Forghani; M Levental; R Gupta; S Lam; N Dadfar; H D Curtin
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-05       Impact factor: 3.825

8.  Optimal Virtual Monochromatic Images for Evaluation of Normal Tissues and Head and Neck Cancer Using Dual-Energy CT.

Authors:  S Lam; R Gupta; M Levental; E Yu; H D Curtin; R Forghani
Journal:  AJNR Am J Neuroradiol       Date:  2015-05-28       Impact factor: 3.825

9.  Non-linear blending of dual-energy CT data improves depiction of late iodine enhancement in chronic myocardial infarction.

Authors:  Julian L Wichmann; Xiaohan Hu; J Matthias Kerl; Boris Schulz; Boris Bodelle; Claudia Frellesen; Thomas Lehnert; Thomas J Vogl; Ralf W Bauer
Journal:  Int J Cardiovasc Imaging       Date:  2014-05-09       Impact factor: 2.357

10.  Comparison of MR Imaging and Dual-Energy CT for the Evaluation of Cartilage Invasion by Laryngeal and Hypopharyngeal Squamous Cell Carcinoma.

Authors:  H Kuno; K Sakamaki; S Fujii; K Sekiya; K Otani; R Hayashi; T Yamanaka; O Sakai; M Kusumoto
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

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