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基于自动化流水线的多参数磁共振图像中水含量 T2 的经验性测量方法及其与肝脏硬度的比较。

An Empirical Approach to Derive Water T from Multiparametric MR Images Using an Automated Pipeline and Comparison With Liver Stiffness.

机构信息

Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.

German Center for Diabetes Research (DZD), Partner Düsseldorf, München-Neuherberg, Düsseldorf, Germany.

出版信息

J Magn Reson Imaging. 2024 Apr;59(4):1193-1203. doi: 10.1002/jmri.28906. Epub 2023 Aug 2.

DOI:10.1002/jmri.28906
PMID:37530755
Abstract

BACKGROUND

Water T of the liver has been shown to be promising in discriminating the progressive forms of fatty liver diseases, inflammation, and fibrosis, yet proper correction for iron and lipid is required.

PURPOSE

To examine the feasibility of an empirical approach for iron and lipid correction when measuring imaging-based T and to validate this approach by spectroscopy on in vivo data.

STUDY TYPE

Retrospective.

POPULATION

Next to mixed lipid-iron phantoms, individuals with different hepatic lipid content were investigated, including people with type 1 diabetes (N = 15, %female = 15.6, age = 43.5 ± 14.0), or type 2 diabetes mellitus (N = 21, %female = 28.9, age = 59.8 ± 9.7) and healthy volunteers (N = 9, %female = 11.1, age = 58.0 ± 8.1).

FIELD STRENGTH/SEQUENCES: 3 T, balanced steady-state free precession MOdified Look-Locker Inversion recovery (MOLLI), multi- and dual-echo gradient echo Dixon, gradient echo magnetic resonance elastography (MRE).

ASSESSMENT

T values were measured in phantoms to determine the respective correction factors. The correction was tested in vivo and validated by proton magnetic resonance spectroscopy ( H-MRS). The quantification of liver T based on automatic segmentation was compared to the T values based on manual segmentation. The association of T with MRE-derived liver stiffness was evaluated.

STATISTICAL TESTS

Bland-Altman plots and intraclass correlation coefficients (ICCs) were used for MOLLI vs. H-MRS agreement and to compare liver T values from automatic vs. manual segmentation. Pearson's r correlation coefficients for T with hepatic lipids and liver stiffness were determined. A P-value of 0.05 was considered statistically significant.

RESULTS

MOLLI T values after correction were found in better agreement with the H-MRS-derived water T (ICC = 0.60 [0.37; 0.76]) in comparison with the uncorrected T values (ICC = 0.18 [-0.09; 0.44]). Automatic quantification yielded similar liver T values (ICC = 0.9995 [0.9991; 0.9997]) as with manual segmentation. A significant correlation of T with liver stiffness (r = 0.43 [0.11; 0.67]) was found. A marked and significant reduction in the correlation strength of T with liver stiffness (r = 0.05 [-0.28; 0.38], P = 0.77) was found after correction for hepatic lipid content.

DATA CONCLUSION

Imaging-based correction factors enable accurate estimation of water T in vivo.

LEVEL OF EVIDENCE

1 TECHNICAL EFFICACY: Stage 1.

摘要

背景

肝 T1 已经被证明在区分进展性脂肪性肝病、炎症和纤维化方面具有很大的潜力,但是需要对铁和脂质进行适当的校正。

目的

研究在测量基于成像的 T1 时使用经验方法校正铁和脂质的可行性,并通过体内磁共振波谱(MRS)验证这种方法。

研究类型

回顾性。

人群

除了混合脂质-铁模型外,还研究了不同肝脂质含量的个体,包括 1 型糖尿病患者(N=15,女性比例为 15.6%,年龄为 43.5±14.0)、2 型糖尿病患者(N=21,女性比例为 28.9%,年龄为 59.8±9.7)和健康志愿者(N=9,女性比例为 11.1%,年龄为 58.0±8.1)。

场强/序列:3T,平衡稳态自由进动 MOdified Look-Locker 反转恢复(MOLLI)、多回波和双回波梯度回波 Dixon、梯度回波磁共振弹性成像(MRE)。

评估

在模型中测量 T 值以确定各自的校正因子。在体内进行了测试,并通过质子 MRS 进行了验证。自动分割的肝 T 定量与手动分割的 T 值进行了比较。评估了 T 与 MRE 衍生的肝硬度之间的相关性。

统计检验

Bland-Altman 图和组内相关系数(ICC)用于 MOLLI 与 MRS 一致性的比较,并比较自动和手动分割的肝 T 值。确定 T 与肝脂质和肝硬度的 Pearson r 相关系数。P 值<0.05 被认为具有统计学意义。

结果

与未校正的 T 值(ICC=0.18[-0.09;0.44])相比,校正后的 MOLLI T 值与 MRS 衍生的水 T 值(ICC=0.60[0.37;0.76])具有更好的一致性。自动定量得到的肝 T 值(ICC=0.9995[0.9991;0.9997])与手动分割相似。发现 T 与肝硬度之间存在显著的相关性(r=0.43[0.11;0.67])。校正肝脂质含量后,T 与肝硬度的相关性强度明显降低(r=0.05[-0.28;0.38],P=0.77)。

数据结论

基于成像的校正因子能够准确估计体内水 T 值。

证据水平

1 技术功效:阶段 1。

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