脑损伤评估中磁共振波谱概念的再认识:一项机构经验

Bhanupriya Singh, R. Yadav, T. Kumar, Sandeep Kawlra
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摘要

客观的 磁共振波谱(MRS)由于其能够表征任何病变的代谢物成分而成为一种技术。我们利用MRS在胶质瘤分级中的能力,评估了不同脑肿瘤病变的磁共振(MR)谱模式。MRS也有助于区分高级别胶质瘤和转移瘤。方法 一项对组织学确诊的脑肿瘤病例的回顾性观察研究,其中MRS是作为术前MR成像的一部分进行的。观察代谢产物峰值模式,并计算不同肿瘤的不同代谢产物比率(胆碱/肌酸、胆碱/N-乙酰天冬氨酸[NAA]、NAA/肌酸)的标准差均值。进行分析以观察不同级别胶质瘤的代谢产物比率的统计学显著差异,并区分高级别胶质瘤和转移瘤。后果 本研究共纳入61例脑肿瘤患者。其中胶质瘤20例,转移瘤11例,脑膜瘤9例,胚胎发育不良神经上皮肿瘤4例,垂体大腺瘤6例,三叉神经鞘瘤4例,颅咽管瘤3例,听神经鞘瘤2例,髓母细胞瘤2例。在不同级别的胶质瘤之间以及高级别胶质瘤与转移瘤之间,代谢产物峰值比率存在统计学上的显著差异。结论 MRS是对MR成像的补充,是区分选定病例中肿瘤病变的解决问题的方法,在胶质瘤分级和恶性肿瘤类型鉴别中也有作用。
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Revisiting Concepts of Magnetic Resonance Spectroscopy in the Evaluation of Brain Lesions: An Institutional Experience
Objective Magnetic resonance spectroscopy (MRS) has emerged as a technique due to its ability to characterize the metabolite constituent of any lesion. We have evaluated magnetic resonance (MR) spectral patterns in different neoplastic brain lesions, using the ability of MRS in grading of gliomas. MRS also helps in differentiating between high-grade glioma and metastases. Method A retrospective observational study in histologically confirmed cases of brain neoplasms in which MRS was performed as a part of preoperative MR imaging. The pattern of metabolite peak was observed and means with standard deviation of different metabolite ratios (choline/creatine, choline/N-acetylaspartate [NAA], NAA/creatine) were calculated for different tumors. Analysis was done to see statistically significant differences in metabolite ratios of different grades of gliomas and to differentiate high-grade gliomas from metastases. Result A total of 61 cases with brain tumor were included in the study. Of which, 20 cases were of gliomas, 11 metastases, 9 meningiomas, 4 dysembryoplastic neuroepithelial tumors, 6 pituitary macroadenomas, 4 trigeminal schwannomas, 3 craniopharyngiomas, 2 acoustic schwannomas, and 2 medulloblastomas. Statistically significant differences in ratios of metabolite peaks were noted between different grades of gliomas and for high-grade glioma versus metastases. Conclusion MRS compliments the MR imaging and stands out as problem-solving method to distinguish neoplastic lesions in selected cases and also has a role in grading of gliomas and in differentiation of types of malignancies.
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