Affiliations: [a] Department of Radiology, Center Hospital of the National Center to Global Health and Medicine, Tokyo, Japan
| [b] Health Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Namiki, Tsukuba, Ibaraki, Japan
| [c] Graduate Division of Health Sciences, Graduate School of Komazawa University, Komazawa, Setagaya-ku, Tokyo, Japan
Correspondence:
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Correspondence to: Tomohiro Arai, RT, Department of Radiology, Center Hospital of the National Center to Global Health and Medicine, 1-21-1 Toyama Shinjuku-ku, Tokyo, 162-8655, Japan and Graduate School of Komazawa University, Komazawa University, Graduate Division of Health Sciences, 1-23-1 Komazawa, Setagaya-ku, Tokyo, 154-8525, Japan. Tel.: +81 3 3202 7181; Fax: +81 3 3207 1038; E-mail: [email protected].
Abstract: BACKGROUND: Currently, no standardized method for measuring intrahepatic fat density via conventional computed tomography (CT) exists. OBJECTIVE: We aim to quantify intrahepatic fat density via material decomposition analysis using rapid kilovolt peak-switching dual-energy (RSDE) CT. METHODS: Homogenized porcine liver and fat (lard) were mixed in various ratios to produce phantoms for fat density verification. The actual fat density was measured on the basis of the phantom volume and weight, and these measurements were used as reference densities. The fat and liver mass attenuation coefficients, which were used as the material basis pairs, were employed in the material decomposition analysis. Then, the measured fat density of each phantom was compared with the reference densities. RESULTS: For fat content differences exceeding 2%, the measured fat density for the phantoms became statistically significant (p < 0.01). The correlation between the reference densities and RSDE-measured fat densities was reasonably high (R > 0.9997); this indicates the validity of this analysis method. CONCLUSIONS: Intrahepatic fat density can be measured using the mass attenuation coefficients of fat and liver in a material decomposition analysis. Given the knowledge of the accuracy and the limitations found in this study, our method can quantitatively evaluate fat density.
