Apparent diffusion coefficient of human brain tumors at MR imaging
Apparent diffusion coefficient of human brain tumors at MR imaging
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DOI：
10.1148/radiol.2353031338
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发表时间：
2005-06-01
期刊：
影响因子：
19.7
通讯作者：
Thohar, MA
中科院分区：
文献类型：
--
作者：
Yamasaki, F;Kurisu, K;Thohar, MA
目得：为了确定表观扩散系数（ADC）是否可以用来区分脑肿瘤在磁共振（MR）imaging.MATERIALS AND METHODS：机构审查委员会批准或知情的患者同意书是不需要的。回顾性分析了1997年9月至2003年7月期间接受治疗的275例脑肿瘤患者的MR图像，其中男性147例，女性128例，年龄1-81岁。将感兴趣区域手动放置在MR图像上的肿瘤区域中，并在B值为0、250、500、750和1000 sec/mm（2）时使用五点回归法计算ADC。ADC值为肿瘤平均值。分析了所有脑肿瘤亚组。以ADC值、年龄、性别为自变量进行Logistic判别分析，结果：ADC值与WHO分级2 ~ 4级星形细胞肿瘤呈显著负相关（2级对3级和4级，准确性为91.3% [P < .01]; 3级对4级，准确性为82.4% [P < .01]）。胚胎发育不良性神经上皮肿瘤（DNT）的ADC值高于星形细胞2级肿瘤（准确率100%）和其他胶质神经元肿瘤。恶性淋巴瘤的ADC值低于胶质母细胞瘤和转移瘤（准确率83.6%，P <0.01）。原始神经外胚叶瘤的ADC值低于室管膜瘤（准确率为100%）。脑膜瘤的ADC值低于神经鞘瘤（准确率为92.4%，P <0.01）。颅咽管瘤的ADC值高于垂体腺瘤（准确率85.2%，P <0.05）。表皮样肿瘤的ADC值低于脊索瘤（准确率为100%）。在脑膜瘤中，ADC值并不能反映肿瘤的恶性程度或组织学亚型。结论：ADC值有助于鉴别某些脑肿瘤，尤其是DNT、恶性淋巴瘤与胶质母细胞瘤和转移瘤、室管膜瘤与垂体腺瘤。(c)RSNA，2005年
PURPOSE: To determine if apparent diffusion coefficient (ADC) can be used to differentiate brain tumors at magnetic resonance (MR) imaging.MATERIALS AND METHODS: Institutional review board approval or informed patient consent was not required. MR images were reviewed retrospectively in 275 patients with brain tumors: 147 males and 128 females 1-81 years old, treated between September 1997 and July 2003. Regions of interest were placed manually in tumor regions on MR images, and ADC was calculated with a five-point regression method at b values of 0, 250, 500, 750, and 1000 sec/mm(2). ADC values were average values in tumor. All brain tumor subgroups were analyzed. Logistic discriminant analysis was performed by using ADC, age, and patient sex as independent variables to discriminate among tumor groups.RESULTS: A significant negative correlation existed between ADC and astrocytic tumors of World Health Organization grades 2-4 (grade 2 vs grades 3 and 4, accuracy of 91.3% [P < .01]; grade 3 vs 4, accuracy of 82.4% [P < .01]). ADC of dysembryoplastic neuroepithelial tumors (DNTs) was higher than that of astrocytic grade 2 tumors (accuracy, 100%) and other glioneuronal tumors. ADC of malignant lymphomas was lower than that of glioblastomas and metastatic tumors (accuracy, 83.6%; P < .01). ADC of primitive neuroectodermal tumors (PNETs) was lower than that of ependymomas (accuracy, 100%). ADC of meningiomas was lower than that of schwannomas (accuracy, 92.4%; P < .01). ADC of craniopharyngiomas was higher than that of pituitary adenomas (accuracy, 85.2%; P < .05). ADC of epidermoid tumors was lower than that of chordomas (accuracy, 100%). In meningiomas, ADC was not indicative of malignancy grade or histologic subtype.CONCLUSION: ADC is useful for differentiation of some human brain tumors, particularly DNT, malignant lymphomas versus glioblastomas and metastatic tumors, and ependymomas versus PNETs. (c) RSNA, 2005