Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging

The purpose of this study is to determine whether diffusion tensor imaging (DTI) metrics including tensor shape measures such as linear and planar anisotropy coefficients (CL and CP) can help differentiate glioblastomas from solitary brain metastases. Sixty-three patients with histopathologic diagno...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Fla.), 2009-02, Vol.44 (3), p.653-660
Hauptverfasser:	Wang, Sumei, Kim, Sungheon, Chawla, Sanjeev, Wolf, Ronald L., Zhang, Wei-Guo, O'Rourke, Donald M., Judy, Kevin D., Melhem, Elias R., Poptani, Harish
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Age Aged Algorithms Anisotropy Artificial Intelligence Brain cancer Brain Neoplasms - pathology Brain Neoplasms - secondary Cancer Cluster Analysis Diagnosis, Differential Diffusion Diffusion Magnetic Resonance Imaging - methods Female Glioblastoma - pathology Glioblastoma - secondary Health Insurance Portability & Accountability Act 1996-US Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Male Methods Middle Aged Patients Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity Spectrum analysis Standard deviation Studies Tumors
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