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...
| Publicado en: | European Radiology Vol. 21; no. 8; pp. 1727 - 1733 |
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| Autores principales: | , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104572891&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104572891 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Aug2011 vid: 21 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104572891 62001636 NLM21472472 2011194076 10.1007/s00330-011-2119-1 NLM21472472 104572891 ppf: 1727 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantification of liver iron content with CT-added value of dual-energy. aug: au: 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 refInfo: holdings: @attributes: islocal: N |
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