Quantification of liver iron content with CT-added value of dual-energy.

Objective: To evaluate the value of dual-energy CT (DECT) with use of an iron-specific, three-material decomposition algorithm for the quantification of liver iron content (LIC).Methods: Thirty-one phantoms containing liver tissue, fat and iron were scanned with dual-source CT using single-energy at...

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Publicado en:European Radiology Vol. 21; no. 8; pp. 1727 - 1733
Autores principales: Fischer MA, Reiner CS, Raptis D, Donati O, Goetti R, Clavien PA, Alkadhi H, Fischer, Michael A, Reiner, Caecilia S, Raptis, Dimitri, Donati, Olivio, Goetti, Robert, Clavien, Pierre-Alain, Alkadhi, Hatem
Formato: research Journal Article
Publicado: Springer Nature Aug2011
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Quantification of liver iron content with CT-added value of dual-energy.
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          Fischer MA
          Reiner CS
          Raptis D
          Donati O
          Goetti R
          Clavien PA
          Alkadhi H
          Fischer, Michael A
          Reiner, Caecilia S
          Raptis, Dimitri
          Donati, Olivio
          Goetti, Robert
          Clavien, Pierre-Alain
          Alkadhi, Hatem
        affil: Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistr. 100, 8091 Zurich, Switzerland
      sug:
        subj:
          Iron Metabolism
          Liver Metabolism
          Liver Radiography
          Tomography, X-Ray Computed Methods
          Adipose Tissue Metabolism
          Algorithms
          Animal Studies
          Cattle
          Phantoms, Imaging
          Nonparametric Statistics
      ab: Objective: To evaluate the value of dual-energy CT (DECT) with use of an iron-specific, three-material decomposition algorithm for the quantification of liver iron content (LIC).Methods: Thirty-one phantoms containing liver tissue, fat and iron were scanned with dual-source CT using single-energy at 120 kV (SECT) and DECT at 80 kV and 140 kV. Virtual iron concentration (VIC) images derived from an iron-specific, three-material decomposition algorithm and measurements of fat-free and fat-containing phantoms were compared with the LIC and healthy liver tissue.Results: In the absence of fat significant linear correlations were found between LIC and HU from SECT and VIC (r = 0.984-0.997, p < 0.001) with a detection limit of 145.4 μmol/g LIC for SECT, whereas VIC accurately quantified the lowest LIC of 20 μmol/g dry liver. In the presence of fat, no significant correlation was observed between LIC and SECT, whereas significant correlations were found for VIC. Compared with fat-free phantoms, significant underestimation of LIC was seen for SECT with increasing amounts of fat (all, p ≤ 0.01). On the other hand, similar HU were seen for VIC of fat-containing compared with fat-free phantoms (p > 0.632).Conclusions: Virtual iron concentration images generated from DECT provide added value for the quantification of LIC by disregarding the confounding effect of the natural variation of healthy liver attenuation and of co-existing liver fat.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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