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EUROPEAN JOURNAL OF RADIOLOGY
卷 161, 期 -, 页码 -

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2023.110734

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Computed tomography; Magnetic resonance imaging; Photon counting; Hepatic steatosis; Quantification

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This study compared liver fat quantification between MRI and photon-counting CT (PCCT). The results showed promising accuracy of liver fat fraction quantification for PCCT in obese patients, which may have potential application in opportunistic screening for CT in the future.
Purpose: To compare liver fat quantification between MRI and photon-counting CT (PCCT).Method: A cylindrical phantom with inserts containing six concentrations of oil (0, 10, 20, 30, 50 and 100%) and oil-iodine mixtures (0, 10, 20, 30 and 50% fat +3 mg/mL iodine) was imaged with a PCCT (NAEOTOM Alpha) and a 1.5 T MRI system (MR 450w, IDEAL-IQ sequence), using clinical parameters. An IRB-approved prospective clinical evaluation included 12 obese adult patients with known fatty liver disease (seven women, mean age: 61.5 +/- 13 years, mean BMI: 30.3 +/- 4.7 kg/m2). Patients underwent a same-day clinical MRI and PCCT of the abdomen. Liver fat fractions were calculated for four segments (I, II, IVa and VII) using in-and opposed-phase on MRI ((Meanin - Meanopp)/2*Meanin) and iodine-fat, tissue decomposition analysis in PCCT (Syngo.Via VB60A). CT and MRI Fat fractions were compared using two-sample t-tests with equal variance. Statistical analysis was performed using RStudio (Version 1.4.1717).Results: Phantom results showed no significant differences between the known fat fractions (P = 0.32) or iodine (P = 0.6) in comparison to PCCT-measured concentrations, and no statistically significant difference between known and MRI-measured fat fractions (P = 0.363). In patients, the mean fat signal fraction measured on MRI and PCCT was 13.1 +/- 9.9% and 12.0 +/- 9.0%, respectively, with an average difference of 1.1 +/- 1.9% between the modalities (P = 0.138).Conclusion: First experience shows promising accuracy of liver fat fraction quantification for PCCT in obese patients. This method may improve opportunistic screening for CT in the future.

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