Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY, 10065, USA.
Department of Radiology, University of Cagliari, Via Università, 40, 09124, Cagliari, CA, Italy.
Cancer Imaging. 2018 Dec 12;18(1):51. doi: 10.1186/s40644-018-0167-3.
Cancer patients often have a history of chemotherapy, putting them at increased risk of liver toxicity and pancytopenia, leading to elevated liver fat and elevated liver iron respectively. T1-in-and-out-of-phase, the conventional MR technique for liver fat assessment, fails to detect elevated liver fat in the presence of concomitantly elevated liver iron. IDEAL-IQ is a more recently introduced MR fat quantification method that corrects for multiple confounding factors, including elevated liver iron.
This retrospective study was approved by the institutional review board with a waiver for informed consent. We reviewed the MRI studies of 50 cancer patients (30 males, 20 females, 50-78 years old) whose exams included (1) T1-in-and-out-of-phase, (2) IDEAL-IQ, and (3) T2* mapping. Two readers independently assessed fat and iron content from conventional and IDEAL-IQ MR methods. Intraclass correlation coefficient (ICC) was estimated to evaluate agreement between conventional MRI and IDEAL-IQ in measuring R2* level (a surrogate for iron level), and in measuring fat level. Agreement between the two readers was also assessed. Wilcoxon signed rank test was employed to compare iron level and fat fraction between conventional MRI and IDEAL-IQ.
Twenty percent of patients had both elevated liver iron and moderate/severe hepatic steatosis. Across all patients, there was high agreement between readers for IDEAL-IQ fat fraction (ICC = 0.957) and IDEAL R2* (ICC = 0.971) measurements, but lower agreement for conventional fat fraction measurements (ICC = 0.626). The fat fractions calculated with IOP were statistically significantly different from those calculated with IDEAL-IQ (reader 1: p < 0.001, reader 2: p < 0.001).
Fat measurements using IDEAL-IQ and IOP diverged in patients with concomitantly elevated liver fat and liver iron. Given prior work validating IDEAL-IQ, these diverging measurements indicate that IOP is inadequate to screen for hepatic steatosis in our cancer population.
癌症患者通常有化疗史,这使他们有更高的肝毒性和全血细胞减少症风险,分别导致肝脂肪升高和肝铁升高。T1 同相位和反相位,这是常规的肝脂肪评估磁共振技术,在同时存在肝铁升高的情况下无法检测到肝脂肪升高。IDEAL-IQ 是一种最近引入的磁共振脂肪定量方法,可纠正多种混杂因素,包括肝铁升高。
本回顾性研究经机构审查委员会批准,豁免知情同意。我们回顾了 50 例癌症患者(30 名男性,20 名女性,50-78 岁)的 MRI 检查,这些检查包括(1)T1 同相位和反相位,(2)IDEAL-IQ,和(3)T2* 映射。两位读者分别从常规和 IDEAL-IQ 磁共振方法评估脂肪和铁含量。采用组内相关系数(ICC)评估常规 MRI 和 IDEAL-IQ 测量 R2*水平(铁水平的替代物)和测量脂肪水平的一致性。还评估了两位读者之间的一致性。采用 Wilcoxon 符号秩检验比较常规 MRI 和 IDEAL-IQ 之间的铁水平和脂肪分数。
20%的患者同时存在肝铁升高和中重度肝脂肪变性。在所有患者中,读者对 IDEAL-IQ 脂肪分数(ICC=0.957)和 IDEAL R2*(ICC=0.971)测量的一致性较高,但对常规脂肪分数测量的一致性较低(ICC=0.626)。用 IOP 计算的脂肪分数与用 IDEAL-IQ 计算的脂肪分数有统计学差异(读者 1:p<0.001,读者 2:p<0.001)。
在同时存在肝脂肪和肝铁升高的患者中,使用 IDEAL-IQ 和 IOP 测量的脂肪分数存在差异。鉴于先前验证 IDEAL-IQ 的工作,这些差异表明 IOP 不足以在我们的癌症人群中筛查肝脂肪变性。