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  4. Fat quantification in dual-layer detector spectral CT: how to handle iron overload, varying tube voltage and radiation dose Indices
 
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Fat quantification in dual-layer detector spectral CT: how to handle iron overload, varying tube voltage and radiation dose Indices

Citation Link: https://doi.org/10.15480/882.9660
Publikationstyp
Journal Article
Date Issued
2024-05-23
Sprache
English
Author(s)
Molwitz, Isabel  
Campbell, Graeme Michael  
Knopp, Tobias  
Biomedizinische Bildgebung E-5  
Schubert, Niklas
Erley, Jennifer  
Löser, Anastassia
Adam, Gerhard  
Yamamura, Jin  
Fischer, Roland F.  
Ozga, Ann-Kathrin  
Szwargulski, Patryk  
Biomedizinische Bildgebung E-5  
TORE-DOI
10.15480/882.9660
TORE-URI
https://hdl.handle.net/11420/47799
Journal
PLOS ONE  
Volume
19
Issue
5
Article Number
e0302863
Citation
PLoS ONE 19 (5): e0302863 (2024)
Publisher DOI
10.1371/journal.pone.0302863
Scopus ID
2-s2.0-85194126858
Publisher
PLOS
Objectives Opposed to other spectral CT techniques, fat quantification in dual-layer detector CT (dlCT) has only recently been developed. The impact of concomitant iron overload and dlCT-specific protocol settings such as the dose right index (DRI), a measure of image noise and tube current, on dlCT fat quantification was unclear. Further, spectral information became newly available <120 kV. Therefore, this study's objective was to evaluate the impact of iron, changing tube voltage, and DRI on dlCT fat quantification. Material and methods Phantoms with 0 and 8mg/cm3 iron; 0 and 5mg/cm3 iodine; 0, 10, 20, 35, 50, and 100% fat and liver equivalent, respectively, were scanned with a dlCT (CT7500, Philips, the Netherlands) at 100kV/20DRI, 120kV/20DRI, 140kV/20DRI, and at 120kV/16DRI, 120kV/24DRI. Material decomposition was done for fat, liver, and iodine (A1); for fat, liver, and iron (A2); and for fat, liver, and combined reference values of iodine and iron (A3). All scans were analyzed with reference values from 120kV/20DRI. For statistics, the intraclass correlation coefficient (ICC) and Bland-Altman analyses were used. Results In phantoms with iron and iodine, results were best for A3 with a mean deviation to phantom fat of 1.3±2.6% (ICC 0.999 [95%-confidence interval 0.996-1]). The standard approach A1 yielded a deviation of -2.5±3.0% (0.998[0.994-0.999]), A2 of 6.1±4.8% (0.991[0.974-0.997]). With A3 and changing tube voltage, the maximal difference between quantified fat and the phantom ground truth occurred at 100kV with 4.6±2.1%. Differences between scans were largest between 100kV and 140kV (2.0%[-7.1-11.2]). The maximal difference of changing DRI occurred between 16 and 24 DRI with 0.4%[-2.2-3.0]. Conclusion For dlCT fat quantification in the presence of iron, material decomposition with combined reference values for iodine and iron delivers the most accurate results. Tube voltage-specific calibration of reference values is advisable while the impact of the DRI on dlCT fat quantification is neglectable.
DDC Class
610: Medicine, Health
620: Engineering
Funding(s)
Spektral-Computertomographie zur Quantifizierung von Muskelfett und Eisenablagerungen im Knochenmark  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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