Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging.

摘要: The purpose of this study is to determine whether diffusion tensor imaging (DTI) metrics including shape measures such as linear and planar anisotropy coefficients (CL CP) can help differentiate glioblastomas from solitary brain metastases. Sixty-three patients with histopathologic diagnosis (22 men, 16 women, mean age 58.4 years) metastases (13 12 56.3 were included in study. Contrast-enhanced T1-weighted, fluid-attenuated inversion recovery (FLAIR) images, fractional (FA), apparent coefficient (ADC), CL CP maps co-registered each lesion was semi-automatically subdivided into four regions: central, enhancing, immediate peritumoral distant peritumoral. DTI well the normalized signal intensity contrast-enhanced T1-weighted images measured region. Univariate multivariate logistic regression analyses employed best model for classification. results demonstrated that FA, significantly higher than those all segmented regions (p<0.05), differences enhancing most significant (p<0.001). FA region had highest prediction accuracy when used alone an area under curve 0.90. three parameters (ADC, part, resulting 92% sensitivity, 100% specificity 0.98. We conclude metrics, individually or combined, have a potential non-invasive measure