关键词: biomarker diffusion tensor imaging glioma hydrogen proton magnetic resonance spectroscopy immunohistochemistry

Mesh : Humans Glioma / diagnostic imaging pathology metabolism Male Female Middle Aged Adult Immunohistochemistry Brain Neoplasms / diagnostic imaging pathology metabolism Diffusion Tensor Imaging / methods Magnetic Resonance Imaging / methods Aged Proton Magnetic Resonance Spectroscopy / methods Young Adult

来  源:   DOI:10.1177/15353508241261583   PDF(Pubmed)

Abstract:
UNASSIGNED: To investigate the performance of diffusion-tensor imaging (DTI) and hydrogen proton magnetic resonance spectroscopy (1H-MRS) parameters in predicting the immunohistochemistry (IHC) biomarkers of glioma.
UNASSIGNED: Patients with glioma confirmed by pathology from March 2015 to September 2019 were analyzed, the preoperative DTI and 1H-MRS images were collected, apparent diffusion coefficient (ADC) and fractional anisotropy (FA), in the lesion area were measured, the relative values relative ADC (rADC) and relative FA (rFA) were obtained by the ratio of them in the lesion area to the contralateral normal area. The peak of each metabolite in the lesion area of 1H-MRS image: N-acetylaspartate (NAA), choline (Cho), and creatine (Cr), and metabolite ratio: NAA/Cho, NAA/(Cho + Cr) were selected and calculated. The preoperative IHC data were collected including CD34, Ki-67, p53, S-100, syn, vimentin, NeuN, Nestin, and glial fibrillary acidic protein.
UNASSIGNED: One predicting parameter of DTI was screened, the rADC of the Ki-67 positive group was lower than that of the negative group. Two parameters of 1H-MRS were found to have significant reference values for glioma grades, the NAA and Cr decreased as the grade of glioma increased, moreover, Ki-67 Li was negatively correlated with NAA and Cr.
UNASSIGNED: NAA and Cr have potential application value in predicting glioma grades and tumor proliferation activity. Only rADC has predictive value for Ki-67 expression among DTI parameters.
摘要:
研究扩散张量成像(DTI)和氢质子磁共振波谱(1H-MRS)参数在预测神经胶质瘤免疫组织化学(IHC)生物标志物中的性能。
分析2015年3月至2019年9月病理证实的胶质瘤患者,术前采集DTI和1H-MRS图像,表观扩散系数(ADC)和分数各向异性(FA),在病变区域进行了测量,相对ADC(rADC)和相对FA(rFA)的相对值是通过病变区域与对侧正常区域的比值获得的。1H-MRS图像病变区域各代谢物的峰值:N-乙酰天冬氨酸(NAA),胆碱(Cho),和肌酸(Cr),和代谢物比率:NAA/Cho,选择并计算NAA/(Cho+Cr)。术前IHC数据包括CD34、Ki-67、p53、S-100、syn、波形蛋白,中子,Nestin,和胶质纤维酸性蛋白。
筛选了DTI的一个预测参数,Ki-67阳性组的rADC值低于阴性组。发现1H-MRS的两个参数对胶质瘤分级具有重要的参考值,NAA和Cr随着胶质瘤分级的增加而降低,此外,Ki-67Li与NAA、Cr呈负相关。
NAA和Cr在预测胶质瘤分级和肿瘤增殖活性方面具有潜在的应用价值。只有rADC对DTI参数中的Ki-67表达具有预测价值。
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