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质子磁共振波谱对乳酸峰和脂质峰在预测原发性神经上皮肿瘤分级中的意义。

The Significance of Lactate and Lipid Peaks for Predicting Primary Neuroepithelial Tumor Grade with Proton MR Spectroscopy.

机构信息

Department of Radiology, St. Marianna University of Medicine.

Department of Pathology, St. Marianna University of Medicine.

出版信息

Magn Reson Med Sci. 2018 Jul 10;17(3):238-243. doi: 10.2463/mrms.mp.2017-0042. Epub 2017 Aug 16.

Abstract

PURPOSE

H-MRS is a non-invasive technique used to assess the metabolic activity of brain tumors. The technique is useful for the preoperative prediction of tumor grade, which is important for treatment planning and accurate prognosis. We used H-MRS to study the lactate peak, which appears in various conditions, including hyperglycemia, ischemia, and hypoxia and lipid peak, which is associated with necrotic cells. The purpose of this study was to retrospectively examine the frequency and significance of lactate and lipid peaks in relation to brain tumor grade.

MATERIALS AND METHODS

Fifty-five patients diagnosed with neuroepithelial tumors of Grades I (3 cases), II (11 cases), III (15 cases), and IV (26 cases) were enrolled. Biopsies were excluded. Single voxel (TE = 144 ms) point resolved H-MRS spectroscopy sequences were retrospectively analyzed. An inverted doublet peak at 1.3 ppm was defined as lactate, a negative and positive peak was defined as combined lactate and lipid, and a clear upward peak was defined as lipid.

RESULTS

Lactate peaks were detected in all grades of brain tumors and were least common in Grade II tumors (9.1%). The frequency of combined lactate-lipid peaks was 0% (Grades I and II), 8.3% (Grade III), and 44% (Grade IV). Grade IV tumors were significantly different to the other grades. There were three cases with a lipid peak. All were glioblastoma.

CONCLUSIONS

The presence of a lac peak may be useful to largely rule out the Grade II tumors, and allow the subsequent differentiation of Grade I tumors from Grade III or IV tumors by conventional imaging. The presence of a lipid peak may be associated with Grade IV tumors.

摘要

目的

H-MRS 是一种用于评估脑肿瘤代谢活性的非侵入性技术。该技术对于术前预测肿瘤分级非常有用,因为肿瘤分级对于治疗计划和准确的预后很重要。我们使用 H-MRS 来研究乳酸峰,它出现在多种情况下,包括高血糖、缺血和缺氧,以及脂质峰,它与坏死细胞有关。本研究的目的是回顾性研究乳酸和脂质峰与脑肿瘤分级的关系。

材料和方法

共纳入 55 例诊断为 I 级(3 例)、II 级(11 例)、III 级(15 例)和 IV 级(26 例)神经上皮肿瘤的患者。排除活检。回顾性分析单体素(TE = 144 ms)点分辨 H-MRS 波谱序列。1.3 ppm 处的倒置双峰定义为乳酸峰,负峰和正峰定义为乳酸和脂质的组合峰,明显向上的峰定义为脂质峰。

结果

所有脑肿瘤分级均检测到乳酸峰,II 级肿瘤(9.1%)最不常见。乳酸-脂质组合峰的频率为 0%(I 级和 II 级)、8.3%(III 级)和 44%(IV 级)。IV 级肿瘤与其他等级有显著差异。有 3 例脂质峰,均为胶质母细胞瘤。

结论

乳酸峰的存在可能有助于很大程度上排除 II 级肿瘤,并通过常规成像来区分 I 级肿瘤与 III 级或 IV 级肿瘤。脂质峰的存在可能与 IV 级肿瘤有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23e3/6039781/b63e4cd94637/mrms-17-238-g1.jpg

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