Imaging-Based Algorithm for the Local Grading of Glioma

Gliomas are highly heterogeneous tumors, and optimal treatment depends on identifying and locating the highest grade disease present. Imaging techniques for doing so are generally not validated against the histopathologic criterion standard. The purpose of this work was to estimate the local glioma...

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Veröffentlicht in:	American journal of neuroradiology : AJNR 2020-03, Vol.41 (3), p.400-407
Hauptverfasser:	Gates, E D H, Lin, J S, Weinberg, J S, Prabhu, S S, Hamilton, J, Hazle, J D, Fuller, G N, Baladandayuthapani, V, Fuentes, D T, Schellingerhout, D
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Adult Brain Aged Brain Neoplasms - diagnostic imaging Brain Neoplasms - pathology Female Glioma - diagnostic imaging Glioma - pathology Humans Image Interpretation, Computer-Assisted - methods Image-Guided Biopsy Imaging, Three-Dimensional - methods Machine Learning Magnetic Resonance Imaging - methods Male Middle Aged Neoplasm Grading - methods Neuroimaging - methods Prospective Studies
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