Two-site reproducibility of cerebellar and brainstem neurochemical profiles with short-echo, single-voxel MRS at 3T.

Two-site reproducibility of cerebellar and brainstem neurochemical profiles with short-echo, single-voxel MRS at 3T.
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DOI:
10.1002/mrm.25295
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发表时间:
2015-05
影响因子:
3.3
通讯作者:
Oez, Guelin
Oez, Guelin
中科院分区:
医学3区
文献类型:
--
作者:
Deelchand, Dinesh K.;Adanyeguh, Isaac M.;Emir, Uzay E.;Nguyen, Tra-My;Valabregue, Romain;Henry, Pierre-Gilles;Mochel, Fanny;Oez, Guelin

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为了确定当高度优化的非供应商短回波、单体素质子 MRS 脉冲序列与相同的校准和量化程序结合使用时,是否可以汇总使用临床 3 T 扫描仪在两个 MRI 部位获得的神经化学浓度。修改后的半激光序列(TE = 28 ms)用于在两台西门子 3 T 扫描仪上获取两个大脑区域(小脑蚓部和脑桥)的光谱,使用来自年龄和 BMI 匹配的两个不同健康志愿者队列(每个部位 N=24-33)的相同 B0 和 B1 校准协议。光谱通过 LCModel 使用水缩放进行量化。两个位点之间的光谱质量非常一致,并且可以对蚓部和脑桥中至少 13 种代谢物进行可靠定量,而之前使用供应商提供的序列进行的多位点 MRS 试验中只能对 3 - 5 种代谢物进行可靠定量。两个部位的神经化学特征几乎相同,表明检测健康大脑个体间差异的可行性。如果使用相同的、优化的采集和分析技术,则可以在不同地点的不同临床 3T 扫描仪上获得高度可重复的神经化学特征。这将允许在临床研究中汇集多站点数据,这对于罕见的神经系统疾病尤其重要。
To determine if neurochemical concentrations obtained at two MRI sites using clinical 3 T scanners can be pooled when a highly optimized, non-vendor short-echo, single voxel proton MRS pulse sequence is utilized in conjunction with identical calibration and quantification procedures. A modified semi-LASER sequence (TE = 28 ms) was used to acquire spectra from two brain regions (cerebellar vermis and pons) on two Siemens 3 T scanners using the same B0 and B1 calibration protocols from two different cohorts of healthy volunteers (N=24–33 per site) matched for age and BMI. Spectra were quantified with LCModel using water scaling. The spectral quality was very consistent between the two sites and allowed reliable quantification of at least 13 metabolites in the vermis and pons compared to 3 – 5 metabolites in prior multi-site MRS trials using vendor-provided sequences. The neurochemical profiles were nearly identical at the two sites and showed the feasibility to detect inter-individual differences in the healthy brain. Highly reproducible neurochemical profiles can be obtained on different clinical 3 T scanners at different sites, provided that the same, optimized acquisition and analysis techniques are utilized. This will allow pooling of multi-site data in clinical studies, which is particularly critical for rare neurological diseases.
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