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  • [Medicina (Kaunas) .] Hepatic Fat Quantification with the Multi-Material Decomposition Algorithm by Using Low-Dose Non-Contrast Material-Enhanced Dual-Energy Computed Tomography in a Prospectively Enrolled Cohort

    부산의대 / 홍승백, 이남경*, 김근영*

  • 출처
    Medicina (Kaunas) .
  • 등재일
    2022 Oct 15
  • 저널이슈번호
    58(10):1459. doi: 10.3390/medicina58101459.
  • 내용

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    Abstract
    The early diagnosis of hepatic steatosis is important. No study has assessed hepatic fat quantification by using low-dose dual-energy computed tomography (CT). We assessed the accuracy of hepatic fat quantification using the multi-material decomposition (MMD) algorithm with low-dose non-contrast material-enhanced dual-energy CT. We retrospectively reviewed 33 prospectively enrolled patients who had undergone low-dose non-contrast material-enhanced dual-energy CT and magnetic resonance image (MRI) proton density fat fraction (PDFF) on the same day. Percentage fat volume fraction (FVF) images were generated using the MMD algorithm on the low-dose dual-energy CT data. We assessed the correlation between FVFs and MRI-PDFFs by using Spearman's rank correlation. With a 5% cutoff value of MRI-PDFF for fatty liver, a receiver operating characteristic (ROC) curve analysis was performed to identify the optimal criteria of FVF for diagnosing fatty liver. CTDIvol of CT was 2.94 mGy. FVF showed a strong correlation with MRI-PDFF (r = 0.756). The ROC curve analysis demonstrated that FVF ≥ 4.61% was the optimal cutoff for fatty liver. With this cutoff value for diagnosing the fatty liver on low-dose dual-energy CT, the sensitivity, specificity, and area under the curve were 90%, 100%, and 0.987, respectively. The MMD algorithm using low-dose non-contrast material-enhanced dual-energy CT is feasible for quantifying hepatic fat.

     

     

    Affiliations

    Seung Baek Hong 1, Nam Kyung Lee 1, Suk Kim 1, Kyunga Um 2, Keunyoung Kim 3, In Joo Kim 4
    1Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Pusan 46241, Korea.
    2General Electronics (GE) Healthcare Korea, Seoul 04637, Korea.
    3Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Pusan 46241, Korea.
    4Division of Endocrinology and Metabolism, Department of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, Pusan 46241, Korea.

  • 키워드
    computed tomography; diagnostic performance; hepatic fat; magnetic resonance image; radiation.
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