首页> 外文期刊>AJNR. American journal of neuroradiology >Differentiation among glioblastoma multiforme, solitary metastatic tumor, and lymphoma using whole-tumor histogram analysis of the normalized cerebral blood volume in enhancing and perienhancing lesions.
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Differentiation among glioblastoma multiforme, solitary metastatic tumor, and lymphoma using whole-tumor histogram analysis of the normalized cerebral blood volume in enhancing and perienhancing lesions.

机译:多形性胶质母细胞瘤,孤立性转移性肿瘤和淋巴瘤之间的区别,使用全肿瘤直方图分析归一化脑血容量在增强和增强病变中的作用。

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BACKGROUND AND PURPOSE: The histogram method has been shown to demonstrate heterogeneous morphologic features of tumor vascularity. This study aimed to determine whether whole-tumor histogram analysis of the normalized CBV for contrast-enhancing lesions and perienhancing lesions can differentiate among GBMs, SMTs, and lymphomas. MATERIALS AND METHODS: Fifty-nine patients with histopathologically confirmed GBMs (n = 28), SMTs (n = 22), or lymphomas (n = 12) underwent conventional MR imaging and dynamic susceptibility contrast-enhanced imaging before surgery. Histogram distribution of the normalized CBV was obtained from whole-tumor voxels in contrast-enhancing lesions and perienhancing lesions. The HW, PHP, and MV were determined from histograms. One-way ANOVA was used initially to test the overall equality of mean values for each type of tumor. Subsequently, posttest multiple comparisons were performed. RESULTS: For whole-tumor histogram analyses for contrast-enhancing lesions, only PHP could differentiate among GBMs (4.79 +/- 1.31), SMTs (3.32 +/- 1.10), and lymphomas (2.08 +/- 0.54). The parameters HW and MV were not significantly different between GBMs and SMTs, whereas the 2 histogram parameters were significantly higher in GBMs and SMTs compared with lymphomas. For the analyses of perienhancing lesions, only MV could differentiate among GBMs (1.90 +/- 0.26), SMTs (0.80 +/- 0.21), and lymphomas (1.27 +/- 0.34). HW and PHP were not significantly different between SMTs and lymphomas. CONCLUSIONS: Using a whole-tumor histogram analysis of normalized CBV for contrast-enhancing lesions and perienhancing lesions facilitates differentiation of GBMs, SMTs and lymphomas.
机译:背景与目的:直方图方法已显示出肿瘤血管的异质形态特征。这项研究旨在确定标准化的CBV对增强对比的病灶和增强的病变的全肿瘤直方图分析是否可以区分GBM,SMT和淋巴瘤。材料与方法:对59例经组织病理学证实为GBM(n = 28),SMT(n = 22)或淋巴瘤(n = 12)的患者在手术前进行了常规MR成像和动态磁化率对比增强成像。标准化CBV的直方图分布从对比增强病变和增强病变的全肿瘤体素中获得。硬件,PHP和MV由直方图确定。最初使用单向方差分析来测试每种肿瘤类型的平均值的总体相等性。随后,进行了测试后的多次比较。结果:对于增强对比度病变的全肿瘤直方图分析,只有PHP可以区分GBM(4.79 +/- 1.31),SMT(3.32 +/- 1.10)和淋巴瘤(2.08 +/- 0.54)。 GBM和SMT之间的参数HW和MV没有显着差异,而GBM和SMT中的2个直方图参数显着高于淋巴瘤。对于增生性病变的分析,只有MV可以区分GBM(1.90 +/- 0.26),SMT(0.80 +/- 0.21)和淋巴瘤(1.27 +/- 0.34)。在SMT和淋巴瘤之间,HW和PHP没有显着差异。结论:使用标准化的CBV的全肿瘤直方图分析可增强对比度和增强病变,有助于GBM,SMT和淋巴瘤的分化。

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