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Dual-layer spectral-detector CT for detecting liver steatosis by using proton density fat fraction as reference.
Wang, Min; Chen, Hongyu; Ma, Yue; Bai, Ruobing; Gao, Sizhe; Yang, Linlin; Guo, Wenli; Zhang, Cong; Kang, Chengjun; Lan, Yu; Sun, Yanqiu; Zhang, Yonggao; Xiao, Xigang; Hou, Yang.
Afiliación
  • Wang M; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Chen H; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Ma Y; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Bai R; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Gao S; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Yang L; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Guo W; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Zhang C; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Kang C; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Lan Y; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China.
  • Sun Y; Department of Radiology, Qinghai Provincial People's Hospital, Qinghai, P.R. China.
  • Zhang Y; Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, P.R. China.
  • Xiao X; Department of Radiology, The First Affiliated Hospital of Harbin Medical University, Harbin, P.R. China.
  • Hou Y; Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, P.R. China. houy2@sj-hospital.org.
Insights Imaging ; 15(1): 210, 2024 Aug 15.
Article en En | MEDLINE | ID: mdl-39145877
ABSTRACT

OBJECTIVES:

To evaluate the diagnostic accuracy of liver dual-layer spectral-detector CT (SDCT) derived parameters of liver parenchyma for grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF).

METHODS:

Altogether, 320 consecutive subjects who underwent MRI-PDFF and liver SDCT examinations were recruited and prospectively enrolled from four Chinese hospital centers. Participants were classified into normal (n = 152), mild steatosis (n = 110), and moderate/severe(mod/sev) steatosis (n = 58) groups based on MRI-PDFF. SDCT liver parameters were evaluated using conventional polychromatic CT images (CTpoly), virtual mono-energetic images at 40 keV (CT40kev), the slope of the spectral attenuation curve (λ), the effective atomic number (Zeff), and liver to spleen attenuation ratio (L/S ratio). Linearity between SDCT liver parameters and MRI-PDFF was examined using Spearman correlation. Cutoff values for SDCT liver parameters in determining steatosis grades were identified using the area under the receiver-operating characteristic curve analyses.

RESULTS:

SDCT liver parameters demonstrated a strong correlation with PDFF, particularly Zeff (rs = -0.856; p < 0.001). Zeff achieved an area under the curve (AUC) of 0.930 for detecting the presence of steatosis with a sensitivity of 89.4%, a specificity of 82.4%, and an AUC of 0.983 for detecting mod/sev steatosis with a sensitivity of 93.1%, a specificity of 93.5%, the corresponding cutoff values were 7.12 and 6.94, respectively. Zeff also exhibited good diagnostic performance for liver steatosis grading in subgroups, independent of body mass index.

CONCLUSION:

SDCT liver parameters, particularly Zeff, exhibit excellent diagnostic accuracy for grading steatosis. CRITICAL RELEVANCE STATEMENT Dual-layer SDCT parameter, Zeff, as a more convenient and accurate imaging biomarker may serve as an alternative indicator for MRI-based proton density fat fraction, exploring the stage and prognosis of liver steatosis, and even metabolic risk assessment. KEY POINTS Liver biopsy is the standard for grading liver steatosis, but is limited by its invasive nature. The diagnostic performance of liver steatosis using SDCT-Zeff outperforms conventional CT parameters. SDCT-Zeff accurately and noninvasively assessed the grade of liver steatosis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Insights Imaging Año: 2024 Tipo del documento: Article
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