Literature DB >> 27541687

Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Experimental Validation.

Tomoko Hyodo1, Masatoshi Hori1, Peter Lamb1, Kosuke Sasaki1, Tetsuya Wakayama1, Yasutaka Chiba1, Teruhito Mochizuki1, Takamichi Murakami1.   

Abstract

Purpose To assess the ability of fast-kilovolt-peak switching dual-energy computed tomography (CT) by using the multimaterial decomposition (MMD) algorithm to quantify liver fat. Materials and Methods Fifteen syringes that contained various proportions of swine liver obtained from an abattoir, lard in food products, and iron (saccharated ferric oxide) were prepared. Approval of this study by the animal care and use committee was not required. Solid cylindrical phantoms that consisted of a polyurethane epoxy resin 20 and 30 cm in diameter that held the syringes were scanned with dual- and single-energy 64-section multidetector CT. CT attenuation on single-energy CT images (in Hounsfield units) and MMD-derived fat volume fraction (FVF; dual-energy CT FVF) were obtained for each syringe, as were magnetic resonance (MR) spectroscopy measurements by using a 1.5-T imager (fat fraction [FF] of MR spectroscopy). Reference values of FVF (FVFref) were determined by using the Soxhlet method. Iron concentrations were determined by inductively coupled plasma optical emission spectroscopy and divided into three ranges (0 mg per 100 g, 48.1-55.9 mg per 100 g, and 92.6-103.0 mg per 100 g). Statistical analysis included Spearman rank correlation and analysis of covariance. Results Both dual-energy CT FVF (ρ = 0.97; P < .001) and CT attenuation on single-energy CT images (ρ = -0.97; P < .001) correlated significantly with FVFref for phantoms without iron. Phantom size had a significant effect on dual-energy CT FVF after controlling for FVFref (P < .001). The regression slopes for CT attenuation on single-energy CT images in 20- and 30-cm-diameter phantoms differed significantly (P = .015). In sections with higher iron concentrations, the linear coefficients of dual-energy CT FVF decreased and those of MR spectroscopy FF increased (P < .001). Conclusion Dual-energy CT FVF allows for direct quantification of fat content in units of volume percent. Dual-energy CT FVF was larger in 30-cm than in 20-cm phantoms, though the effect of object size on fat estimation was less than that of CT attenuation on single-energy CT images. In the presence of iron, dual-energy CT FVF led to underestimateion of FVFref to a lesser degree than FF of MR spectroscopy led to overestimation of FVFref. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27541687     DOI: 10.1148/radiol.2016160129

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  The correlation between hepatic fat fraction evaluated by dual-energy computed tomography and high-risk coronary plaques in patients with non-alcoholic fatty liver disease.

Authors:  Rui Zhan; Rongxing Qi; Sheng Huang; Yang Lu; Xiaoyu Wang; Jiashen Jiang; Xiwu Ruan; Anyi Song
Journal:  Jpn J Radiol       Date:  2021-04-05       Impact factor: 2.374

Review 2.  Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

3.  The influence of liver fat deposition on the quantification of the liver-iron fraction using fast-kilovolt-peak switching dual-energy CT imaging and material decomposition technique: an in vitro experimental study.

Authors:  Tingting Xie; Yongbin Li; Guanyong He; Zhen Zhang; Qiao Shi; Guanxun Cheng
Journal:  Quant Imaging Med Surg       Date:  2019-04

4.  Comparison of Multimaterial Decomposition Fat Fraction with DECT and Proton Density Fat Fraction with IDEAL IQ MRI for Quantification of Liver Steatosis in a Population Exposed to Chemotherapy.

Authors:  Giuseppe Corrias; Marco Erta; Marcello Sini; Claudia Sardu; Luca Saba; Usman Mahmood; Sandra Huicochea Castellanos; David Bates; Nicola Mondanelli; Brian Thomsen; Gabriella Carollo; Peter Sawan; Lorenzo Mannelli
Journal:  Dose Response       Date:  2021-04-20       Impact factor: 2.658

5.  Influence of Radiation Dose and Reconstruction Kernel on Fat Fraction Analysis in Dual-energy CT: A Phantom Study.

Authors:  Vasiliki Chatzaraki; Corinna Born; Rahel A Kubik-Huch; Johannes M Froehlich; Michael J Thali; Tilo Niemann
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

6.  Preliminary X-ray CT investigation to link Hounsfield unit measurements with the International System of Units (SI).

Authors:  Zachary H Levine; Adele P Peskin; Andrew D Holmgren; Edward J Garboczi
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

Review 7.  Dual-Energy Computed Tomography of the Liver: Uses in Clinical Practices and Applications.

Authors:  Masakatsu Tsurusaki; Keitaro Sofue; Masatoshi Hori; Kosuke Sasaki; Kazunari Ishii; Takamichi Murakami; Masatoshi Kudo
Journal:  Diagnostics (Basel)       Date:  2021-01-22

8.  Detection of fatty liver using virtual non-contrast dual-energy CT.

Authors:  Pengcheng Peter Zhang; Hailey H Choi; Michael A Ohliger
Journal:  Abdom Radiol (NY)       Date:  2022-03-19

Review 9.  Computed Tomography Techniques, Protocols, Advancements, and Future Directions in Liver Diseases.

Authors:  Naveen M Kulkarni; Alice Fung; Avinash R Kambadakone; Benjamin M Yeh
Journal:  Magn Reson Imaging Clin N Am       Date:  2021-08       Impact factor: 1.376

  9 in total

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