Use of diffusion tensor imaging in distinguishing neoplastic and infective intra-axial brain lesions: An intergroup and etiology wise inter sub-group analysis - Experience from a tertiary health care center in Northern India

Sukriti Kumar, K. Yadav, N. Kohli, M. Gutch, N. Kumar, Ankur Bajaj, A. Parihar
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Abstract

Background: Neoplastic and infective brain lesions may present as imaging mimickers. This study aims to help differentiate between etiology of lesions based on diffusion tensor imaging (quantitatively and qualitatively). Method: DTI was performed in 50 patients (12 - metastases,13 - high grade glioma,13 - tuberculoma, 12 - Neurocysticercosis). Lesional and perilesional Fractional anisotropy (FA) and mean diffusivity (MD) values were calculated. Lesional and perilesional mean FA and MD values were compared by using Student's 't'-test. Result: Mean FA values in the perilesional area of neoplastic lesions were found to be significantly higher (0.17±0.12 vs. 0.08±0.02), P < 0.001) in comparison to infective lesions. Mean MD values in the perilesional area of infective lesions were found to be significantly higher (1.51±0.22 vs. 1.20±0.33x10-3mm2/sec, P < 0.001) in comparison to neoplastic lesions. Perilesional FA was found to be significantly higher and perilesional ADC to be significantly lower in High Grade Gliomas (HGG) when compared with Metastasis, Tuberculomas or Neurocysticercosis. Infective group showed significantly higher prevalence of displacement of white matter tracts (60%) and the neoplastic group showed significantly higher prevalence of the disruption (40%). Conclusion: FA and MD values from the lesion and from perilesional region are helpful in differentiating among brain lesions. Fiber tracking along with quantitative parameters is helpful in determining type of involvement of tracts, thus helping in prognostication.
扩散张量成像在区分肿瘤性和感染性轴内脑损伤中的应用:一项组间和病因分析-印度北部三级医疗中心的经验
背景:新发性和感染性脑损伤可能表现为影像学拟态。本研究旨在根据扩散张量成像(定量和定性)帮助区分病变的病因。方法:对50例(转移瘤12例,胶质瘤13例,结核瘤13例、脑囊虫病12例)进行DTI检查。计算病变和病变周围的部分各向异性(FA)和平均扩散率(MD)值。使用Student’s t检验比较病变和病变周围的平均FA和MD值。结果:与感染性病变相比,肿瘤性病变病变周围区域的平均FA值显著更高(0.17±0.12 vs.0.08±0.02),P<0.001)。与肿瘤性病变相比,感染性病变病变周围区域的平均MD值显著更高(1.51±0.22 vs.1.20±0.33x10-3mm/sec,P<0.001)。研究发现,与转移瘤、结核瘤或脑囊虫病相比,高级别胶质瘤(HGG)的病灶周围FA显著较高,而病灶周围ADC显著较低。感染组表现出明显更高的白质束移位发生率(60%),肿瘤组表现出显著更高的破坏发生率(40%)。结论:病灶和病灶周围区的FA和MD值有助于区分脑损伤。纤维追踪和定量参数有助于确定束的受累类型,从而有助于预测。
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