Diffusion tensor imaging discriminates between glioblastoma and cerebral metastases in vivo

Diffusion tensor imaging discriminates between glioblastoma and cerebral metastases in vivo
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DOI:
10.1002/nbm.1555
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发表时间:
2011-01-01
期刊:
影响因子:
2.9
通讯作者:
Clark, Chris A.
Clark, Chris A.
中科院分区:
医学3区
文献类型:
--
作者:
Byrnes, Tiernan J. D.;Barrick, Thomas R.;Clark, Chris A.

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在一项前瞻性研究中,放射学证实的脑肿瘤患者在明确诊断和治疗前接受了弥散张量成像(DTI)。28例经组织学证实的胶质母细胞瘤或转移患者纳入本研究。定义感兴趣区域后,计算肿瘤体积和周围瘤周水肿区域的DTI指标[平均扩散率(MD)和各向异性分数(FA)]。然后对这些指标进行逻辑回归,以研究其区分胶质母细胞瘤和脑转移瘤的能力。进行交叉验证以研究模型预测肿瘤的能力。Logistic回归分析正确区分胶质母细胞瘤15/16例(93.8%)和转移瘤11/12例(91.7%)。交叉验证结果表明,该模型正确预测了16例胶质母细胞瘤中的14例(87.5%)和12例转移瘤中的10例(83.3%)。与胶质母细胞瘤周围水肿相比,转移瘤周围水肿的MD显著更高(p = 0.02),FA显著更低(p = 0.04)。胶质母细胞瘤的肿瘤体积内MD显著较高(p = 0.02)。我们的研究结果表明,当结合研究肿瘤体积和周围瘤周水肿的DTI指标时,胶质母细胞瘤可以可靠地与脑转移瘤区分开来。版权所有(C)2010约翰威利父子有限公司
In a prospective study, patients with a radiologically proven brain tumour underwent diffusion tensor imaging (DTI) prior to definitive diagnosis and treatment. Twenty-eight patients with a histologically proven glioblastoma or metastasis were included in the study. Following the definition of regions of interest, DTI metrics [mean diffusivity (MD) and fractional anisotropy (FA)] were calculated for the tumour volume and the surrounding region of peritumoral oedema. These metrics were then subjected to logistic regression to investigate their ability to discriminate between glioblastomas and cerebral metastases. A cross-validation was performed to investigate the ability of the model to predict tumour. The logistic regression analysis correctly distinguished glioblastoma in 15 of 16 cases (93.8%) and metastasis in 11 of 12 cases (91.7%). Cross-validation resulted in the model correctly predicting 14 of 16(87.5%) glioblastomas and 10 of 12(83.3%) metastases studied. MD was significantly higher (p = 0.02) and FA was significantly lower (p = 0.04) within the oedema surrounding metastases than within the oedema around glioblastomas. MD was significantly higher (p = 0.02) within the tumour volume of the glioblastomas. Our results demonstrate that, when DTI metrics from the tumour volume and surrounding peritumoral oedema are studied in combination, glioblastoma can be reliably discriminated from cerebral metastases. Copyright (C) 2010 John Wiley & Sons, Ltd.