OBJECTIVE To explore the performance of neurite orientation dispersion and density imaging (NODDI) in grading gliomas and to evaluate the cellular proliferation. METHODS NODDI and diffusion-weighted imaging were performed on 79 patients with histopathologically proven gliomas. Parameter maps of intracellular volume fraction (ICVF), orientation dispersion index (ODI), and apparent diffusion coefficient (ADC) were calculated. Regions of interest were placed in the most solid part of the tumor. These metrics were normalized to the contralateral normal-appearing white matter and correlated with Ki-67 expression. RESULTS ICVF and ODI increased as tumor grades increased, whereas ADC decreased with the increase of tumor grades. Significant differences in normalized ICVF and ODI were observed between low-grade gliomas and high-grade gliomas (ICVF: 0.208 ± 0.104 vs. 0.718 ± 0.234; ODI: 0.952 ± 0.428 vs. 1.767 ± 0.636, P < 0.001, respectively) and between grades II and III (ICVF: 0.208 ± 0.104 vs. 0.603 ± 0.253; ODI: 0.952 ± 0.428 vs. 1.762 ± 0.542, P < 0.001, respectively). Normalized ICVF was also significantly different between grades III and IV (0.603 ± 0.253 vs. 0.803 ± 0.182, P = 0.004). Ki-67 labeling index was positively correlated with normalized ICVF and ODI (r = 0.755 and 0.572, P < 0.001, respectively), and negatively correlated with normalized ADC (r = -0.709, P < 0.001). CONCLUSIONS NODDI is a promising method in grading gliomas and predicting cellular proliferation. These results may be of great significance for the clinical diagnosis and treatment of gliomas.

中文翻译：

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神经突取向分散和密度成像在评估神经胶质瘤等级和细胞增殖中的应用。

目的探讨神经突定向弥散和密度成像（NODDI）在神经胶质瘤分级中的作用，并评估细胞的增殖。方法对79例经病理组织学证实的神经胶质瘤患者进行NODDI和弥散加权成像。计算细胞内体积分数（ICVF），方向分散指数（ODI）和表观扩散系数（ADC）的参数图。将感兴趣的区域放置在肿瘤的最坚固部分。将这些指标标准化为对侧正常出现的白质，并与Ki-67表达相关。结果ICVF和ODI随着肿瘤等级的增加而增加，而ADC随着肿瘤等级的增加而降低。低级神经胶质瘤和高级神经胶质瘤之间观察到标准化ICVF和ODI的显着差异（ICVF：0。208±0.104和0.718±0.234; ODI：0.952±0.428 vs. 1.767±0.636，P <0.001，分别在II级和III级之间（ICVF：0.208±0.104 vs. 0.603±0.253; ODI：0.952±0.428 vs.1.762±0.542，P <0.001，分别）。标准化ICVF在III级和IV级之间也存在显着差异（0.603±0.253与0.803±0.182，P = 0.004）。Ki-67标记指数与归一化ICVF和ODI呈正相关（分别为r = 0.755和0.572，P <0.001），与归一化ADC呈负相关（r = -0.709，P <0.001）。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。分别在II级和III级之间（ICVF：0.208±0.104 vs. 0.603±0.253; ODI：0.952±0.428 vs. 1.762±0.542，P <0.001）。标准化ICVF在III级和IV级之间也存在显着差异（0.603±0.253与0.803±0.182，P = 0.004）。Ki-67标记指数与归一化ICVF和ODI呈正相关（分别为r = 0.755和0.572，P <0.001），与归一化ADC呈负相关（r = -0.709，P <0.001）。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。分别在II级和III级之间（ICVF：0.208±0.104 vs. 0.603±0.253; ODI：0.952±0.428 vs. 1.762±0.542，P <0.001）。标准化ICVF在III级和IV级之间也存在显着差异（0.603±0.253与0.803±0.182，P = 0.004）。Ki-67标记指数与归一化ICVF和ODI呈正相关（分别为r = 0.755和0.572，P <0.001），与归一化ADC呈负相关（r = -0.709，P <0.001）。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。标准化ICVF在III级和IV级之间也存在显着差异（0.603±0.253与0.803±0.182，P = 0.004）。Ki-67标记指数与归一化ICVF和ODI呈正相关（分别为r = 0.755和0.572，P <0.001），与归一化ADC呈负相关（r = -0.709，P <0.001）。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。标准化ICVF在III级和IV级之间也存在显着差异（0.603±0.253与0.803±0.182，P = 0.004）。Ki-67标记指数与归一化ICVF和ODI呈正相关（分别为r = 0.755和0.572，P <0.001），与归一化ADC呈负相关（r = -0.709，P <0.001）。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。结论NODDI是分级神经胶质瘤和预测细胞增殖的一种有前途的方法。这些结果对神经胶质瘤的临床诊断和治疗具有重要意义。