Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
J Magn Reson Imaging. 2011 Jun;33(6):1390-8. doi: 10.1002/jmri.22583.
To compare the accuracy of four chemical shift magnetic resonance imaging (MRI) (CS-MRI) analysis methods and MR spectroscopy (MRS) with and without T2-correction in fat quantification in the presence of excess iron.
CS-MRI with six opposed- and in-phase acquisitions and MRS with five-echo acquisitions (TEs of 20, 30, 40, 50, 60 msec) were performed at 1.5 T on phantoms containing various fat fractions (FFs), on phantoms containing various iron concentrations, and in 18 patients with chronic liver disease. For CS-MRI, FFs were estimated with the dual-echo method, with two T2*-correction methods (triple- and multiecho), and with multiinterference methods that corrected for both T2* and spectral interference effects. For MRS, FF was estimated without T2-correction (single-echo MRS) and with T2-correction (multiecho MRS).
In the phantoms, T2*- or T2-correction methods for CS-MRI and MRS provided unbiased estimations of FFs (mean bias, -1.1% to 0.5%) regardless of iron concentration, whereas the dual-echo method (-5.5% to -8.4%) and single-echo MRS (12.1% to 37.3%) resulted in large biases in FFs. In patients, the FFs estimated with triple-echo (R = 0.98), multiecho (R = 0.99), and multiinterference (R = 0.99) methods had stronger correlations with multiecho MRS FFs than with the dual-echo method (R = 0.86; P ≤ 0.011). The FFs estimated with multiinterference method showed the closest agreement with multiecho MRS FFs (the 95% limit-of-agreement, -0.2 ± 1.1).
T2*- or T2-correction methods are effective in correcting the confounding effects of iron, enabling an accurate fat quantification throughout a wide range of iron concentrations. Spectral modeling of fat may further improve the accuracy of CS-MRI in fat quantification.
比较四种化学位移磁共振成像(CS-MRI)分析方法和磁共振波谱(MRS)在存在过量铁时的准确性,包括有无 T2 校正的情况下进行脂肪定量分析。
在 1.5T 场强下,使用 6 个反相位和同相位采集的 CS-MRI,以及 5 个回波采集的 MRS(TE 分别为 20、30、40、50、60msec),在含有不同脂肪分数(FF)的体模、含有不同铁浓度的体模以及 18 例慢性肝病患者中进行。对于 CS-MRI,FF 是通过双回波法、两种 T2*-校正方法(三回波和多回波)以及同时校正 T2*和光谱干扰效应的多干扰法来估计的。对于 MRS,FF 是在没有 T2 校正的情况下(单回波 MRS)和进行 T2 校正的情况下(多回波 MRS)来估计的。
在体模中,CS-MRI 和 MRS 的 T2*-或 T2 校正方法无论铁浓度如何,都能提供 FF 的无偏估计(平均偏差为-1.1%至 0.5%),而双回波法(-5.5%至-8.4%)和单回波 MRS(12.1%至 37.3%)则导致 FF 出现较大偏差。在患者中,三回波(R=0.98)、多回波(R=0.99)和多干扰(R=0.99)方法估计的 FF 与多回波 MRS FF 的相关性更强,而双回波法的相关性则较弱(R=0.86;P≤0.011)。用多干扰法估计的 FF 与多回波 MRS FF 的一致性最好(95%一致性界限,-0.2±1.1)。
T2*-或 T2 校正方法可以有效地校正铁的混杂效应,使在广泛的铁浓度范围内都能进行准确的脂肪定量分析。脂肪的光谱建模可能进一步提高 CS-MRI 在脂肪定量分析中的准确性。