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Dataset Information

Resolving spatial response heterogeneity in glioblastoma.


ABSTRACT:

Purpose

Spatial intratumoral heterogeneity poses a significant challenge for accurate response assessment in glioblastoma. Multimodal imaging coupled with advanced image analysis has the potential to unravel this response heterogeneity.

Methods

Based on automated tumor segmentation and longitudinal registration with follow-up imaging, we categorized contrast-enhancing voxels of 61 patients with suspected recurrence of glioblastoma into either true tumor progression (TP) or pseudoprogression (PsP). To allow the unbiased analysis of semantically related image regions, adjacent voxels with similar values of cerebral blood volume (CBV), FET-PET, and contrast-enhanced T1w were automatically grouped into supervoxels. We then extracted first-order statistics as well as texture feat

SUBMITTER: Ziegenfeuter J 

PROVIDER: S-EPMC11445274 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature

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