Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression

Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression

Diffusion tensor imaging (DTI), and fractional-anisotropy (FA) maps in particular, have shown promise in predicting areas of tumor recurrence in glioblastoma. However, analysis of peritumoral edema, where most recurrences occur, is impeded by free-water contamination. In this study, we evaluated the...

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Bibliographic Details
Main Authors: Marie-Christin Metz, Miguel Molina-Romero, Jana Lipkova, Jens Gempt, Friederike Liesche-Starnecker, Paul Eichinger, Lioba Grundl, Bjoern Menze, Stephanie E. Combs, Claus Zimmer, Benedikt Wiestler
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Cancers
Subjects:
glioblastoma
dti
fa
deep learning
recurrence prediction
Online Access:https://www.mdpi.com/2072-6694/12/3/728

Internet

https://www.mdpi.com/2072-6694/12/3/728

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