Discrimination between glioblastoma multiforme and solitary metastasis using morphological features derived from the p:q tensor decomposition of diffusion tensor imaging

The management and treatment of high‐grade glioblastoma multiforme (GBM) and solitary metastasis (MET) are very different and influence the prognosis and subsequent clinical outcomes. In the case of a solitary MET, diagnosis using conventional radiology can be equivocal. Currently, a definitive diag...

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Veröffentlicht in:	NMR in biomedicine 2014-09, Vol.27 (9), p.1103-1111
Hauptverfasser:	Yang, Guang, Jones, Timothy L., Barrick, Thomas R., Howe, Franklyn A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Brain Neoplasms - pathology Brain Neoplasms - secondary brain tumour classification brain tumour segmentation computer-aided diagnosis Diagnosis, Differential diffusion tensor imaging Diffusion Tensor Imaging - methods feature selection Female Glioblastoma - pathology Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Male morphological shape analysis MRI Neural Networks, Computer pattern recognition and classification Pattern Recognition, Automated - methods Reproducibility of Results Sensitivity and Specificity
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