Schwartz Fides Regina, Ashton Jeffrey, Wildman-Tobriner Benjamin, Molvin Lior, Ramirez-Giraldo Juan Carlos, Samei Ehsan, Bashir Mustafa Rifaat, Marin Daniele
Duke University Health System, Department of Radiology, United States.
Siemens Healthineers, Malvern, PA, United States.
Eur J Radiol. 2023 Apr;161:110734. doi: 10.1016/j.ejrad.2023.110734. Epub 2023 Feb 9.
To compare liver fat quantification between MRI and photon-counting CT (PCCT).
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/m). 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 ((Mean - Mean)/2*Mean) 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 (Version1.4.1717).
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).
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.
比较磁共振成像(MRI)与光子计数CT(PCCT)对肝脏脂肪定量的效果。
使用临床参数,对一个带有内含六种不同浓度油(0%、10%、20%、30%、50%和100%)以及油 - 碘混合物(0%、10%、20%、30%和50%脂肪 + 3mg/mL碘)的插入物的圆柱形体模,进行PCCT(NAEOTOM Alpha)和1.5T MRI系统(MR 450w,IDEAL - IQ序列)成像。一项经机构审查委员会批准的前瞻性临床评估纳入了12名已知患有脂肪性肝病的肥胖成年患者(7名女性,平均年龄:61.5 ± 13岁,平均体重指数:30.3 ± 4.7kg/m²)。患者在同一天接受腹部临床MRI和PCCT检查。使用MRI的同相位和反相位图像((均值 - 均值)/2*均值)以及PCCT中的碘 - 脂肪组织分解分析(Syngo.Via VB60A),计算四个肝段(I、II、IVa和VII)的肝脏脂肪分数。使用等方差双样本t检验比较CT和MRI的脂肪分数。使用RStudio(版本1.4.1717)进行统计分析。
体模结果显示,与PCCT测量的浓度相比,已知脂肪分数(P = 0.32)或碘(P = 0.6)之间无显著差异,已知脂肪分数与MRI测量的脂肪分数之间也无统计学显著差异(P = 0.363)。在患者中,MRI和PCCT测量得到的平均脂肪信号分数分别为13.1 ± 9.9%和12.0 ± 9.0%,两种检查方式之间的平均差异为1.1 ± 1.9%(P = 0.138)。
初步经验表明,PCCT对肥胖患者肝脏脂肪分数定量具有良好的准确性。该方法未来可能会改善CT的机会性筛查。