Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload.

Quantitative Susceptibility Mapping Using a Multispectral Autoregressive Moving Average Model to Assess Hepatic Iron Overload.
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使用多光谱自回归移动平均模型评估肝脏铁过载的定量易感性映射。

DOI:
10.1002/jmri.27584
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发表时间:
2021-09
影响因子:
4.4
通讯作者:
Hillenbrand, Claudia M.
Hillenbrand, Claudia M.
中科院分区:
医学2区
文献类型:
--
作者:
Tipirneni-Sajja, Aaryani;Loeffler, Ralf B.;Hankins, Jane S.;Morin, Cara;Hillenbrand, Claudia M.

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R2*-MRI在临床上用于无创评估肝脏铁含量(HIC),以指导潜在的铁螯合治疗。然而,共存的病理,如纤维化和脂肪变性,影响R2* 测量,因此可能混淆HIC估计。评估多光谱自回归移动平均(阿尔马)模型是否可与定量磁化率制图(QSM)结合使用,以测量磁化率作为HIC的无混淆预测因子。体模研究和体内队列。9例铁体模,覆盖临床相关R2* 范围(20 - 1200 s-1)和48例患者(22例男性,26例女性,中位年龄18岁)。1.5T下的3D和2D多回波GRE。对复杂的3D GRE信号进行ARMA-QSM建模,以估计R2*、脂肪分数(FF)和敏感性测量。使用已发表的R2*-HIC校准曲线作为参考标准,根据2D GRE采集计算基于R2* 的干燥临床HIC值。进行线性回归分析,以比较阿尔马R2* 和基于磁化率的估计值分别与体模和患者的铁浓度和干临床HIC值。在幻影中,阿尔马R2* 和敏感性值与铁浓度强相关(R2≥0.9)。在患者中,阿尔马R2* 值与临床HIC值高度相关(R2=0.97),斜率=0.026,敏感性值与临床干HIC值显示出良好的相关性(R2=0.82),斜率=3.3,产生的干-湿HIC比为4.8。该研究表明,ARMA-QSM可以同时估计基于磁化率的湿HIC,基于R2* 的干HIC和FF从一个单一的多回波GRE采集的可行性。我们的研究结果表明,R2* 和磁化率为基础的湿HIC值估计与ARMA-QSM表现出良好的相关性与临床干HIC值的斜率类似于发表的R2* 活检HIC校准和干湿组织重量比,分别。因此,我们的研究表明,ARMA-QSM可以提供潜在的混淆肝脏铁超载的评估。
R2*-MRI is clinically used to noninvasively assess hepatic iron content (HIC) to guide potential iron chelation therapy. However, coexisting pathologies, such as fibrosis and steatosis, affect R2* measurements and may thus confound HIC estimations. To evaluate whether a multispectral auto regressive moving average (ARMA) model can be used in conjunction with quantitative susceptibility mapping (QSM) to measure magnetic susceptibility as a confounder-free predictor of HIC. Phantom study and in vivo cohort. 9 iron phantoms covering clinically relevant R2* range (20 – 1200 s−1) and 48 patients (22 male, 26 female, median age 18 years). 3D and 2D multi-echo GRE at 1.5T. ARMA-QSM modeling was performed on the complex 3D GRE signal to estimate R2*, fat fraction (FF), and susceptibility measurements. R2*-based dry clinical HIC values were calculated from the 2D GRE acquisition using a published R2*-HIC calibration curve as reference standard. Linear regression analysis was performed to compare ARMA R2* and susceptibility-based estimates to iron concentrations and dry clinical HIC values in phantoms and patients, respectively. In phantoms, the ARMA R2* and susceptibility values strongly correlated with iron concentrations (R2≥0.9). In patients, the ARMA R2* values highly correlated (R2=0.97) with clinical HIC values with slope=0.026, and the susceptibility values showed good correlation (R2=0.82) with clinical dry HIC values with slope=3.3 and produced a dry-to-wet HIC ratio of 4.8. This study shows the feasibility that ARMA-QSM can simultaneously estimate susceptibility-based wet HIC, R2*-based dry HIC and FFs from a single multi-echo GRE acquisition. Our results demonstrate that both, R2* and susceptibility-based wet HIC values estimated with ARMA-QSM showed good association with clinical dry HIC values with slopes similar to published R2*-biopsy HIC calibration and dry-to-wet tissue weight ratio, respectively. Hence, our study shows that ARMA-QSM can provide potentially confounder-free assessment of hepatic iron overload.
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