NIMG-83. THE PROGNOSTIC VALUE OF PARAMETRIZED KI-67 MAPS DERIVED FROM CONVENTIONAL MRI AND MACHINE LEARNING IN A LARGE RETROSPECTIVE COHORT OF ADULT-TYPE DIFFUSE GLIOMAS

Abstract BACKGROUND Ki-67 is a well-established proliferation marker relied upon for glioma grade assessment. Advances in machine learning (ML) now allow researchers to non-invasively predict the voxelwise Ki-67 index with reasonable accuracy based on anatomical MRI.The purpose of this study is to e...

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Veröffentlicht in:	Neuro-oncology (Charlottesville, Va.) Va.), 2024-11, Vol.26 (Supplement_8), p.viii214-viii215
Hauptverfasser:	Dagher, Samir-Anthony, Gates, Evan, Wintermark, Max, Long, James, Fuentes, David, Schellingerhout, Dawid
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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