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使用高分辨率魔角旋转磁共振波谱对脑转移瘤进行特征分析。

Characterization of brain metastases using high-resolution magic angle spinning MRS.

作者信息

Sjøbakk Torill E, Johansen Roar, Bathen Tone F, Sonnewald Ursula, Juul Roar, Torp Sverre H, Lundgren Steinar, Gribbestad Ingrid S

机构信息

Department of Neuromedicine, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

NMR Biomed. 2008 Feb;21(2):175-85. doi: 10.1002/nbm.1180.

Abstract

The objectives of this study were to (a) explore the spectral characteristics of brain metastases, focusing on the origin of the primary cancer, and (b) evaluate the correlation with clinical outcome using multivariate analysis. High-resolution magic angle spinning (HR-MAS) MR spectra (n = 26) were obtained from 16 patients with brain metastases using a Bruker Avance DRX600 instrument. Standard pulse-acquired and spin-echo (TE 32 and 285 ms) (1)H spectra were obtained. These were examined using principal component analysis (PCA) and partial least squares regression analysis (PLS) relating spectral data to clinical outcome. The PCA score plot of pulse-acquired HR-MAS spectra showed a trend of clustering due to the origin of the metastases, mainly based on differences in the lipid signals at 1.3 and 0.9 ppm. With PLS, spectra of patients who died less than 5 months after surgery appeared to cluster in the lower left quadrant of the score plot. These preliminary results on brain metastasis classification and prediction of survival must be validated in a larger patient cohort. However, the possibility of differentiating metastases according to origin and predicting survival on the basis of HR-MAS spectra suggests that this method may be useful for diagnosing and planning treatment for brain metastases and also for guiding decisions about terminating further treatment.

摘要

本研究的目的是

(a) 探索脑转移瘤的光谱特征,重点关注原发癌的起源;(b) 使用多变量分析评估与临床结果的相关性。使用布鲁克Avance DRX600仪器从16例脑转移瘤患者中获取了高分辨率魔角旋转(HR-MAS)磁共振波谱(n = 26)。获得了标准脉冲采集和自旋回波(TE 32和285 ms)的氢谱。使用主成分分析(PCA)和偏最小二乘回归分析(PLS)对这些谱进行检查,将光谱数据与临床结果相关联。脉冲采集的HR-MAS谱的PCA得分图显示出由于转移瘤起源而产生的聚类趋势,主要基于1.3和0.9 ppm处脂质信号的差异。使用PLS时,术后不到5个月死亡的患者的谱似乎聚集在得分图的左下方象限。这些关于脑转移瘤分类和生存预测的初步结果必须在更大的患者队列中得到验证。然而,根据起源区分转移瘤并基于HR-MAS谱预测生存的可能性表明,这种方法可能有助于脑转移瘤的诊断和治疗规划,也有助于指导关于终止进一步治疗的决策。

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