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Dataset of voxelwise correlated signal values of ADC, rCBV and FAP-specific PET of 13 Glioblastoma patients

This dataset is based on multimodal MRI and FAP-specific PET/CT Imaging applied to 13 patients with histologically proven glioblastomas. Imaging Data was processed using Medical Imaging Interaction Toolkit (MITK) software. MRI images (contrast enhanced T1w, T2w/FLAIR, ADC, rCBV) were co-registrated...

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Bibliographic Details
Main Authors: Röhrich, Manuel (Author) , Loi, Lisa (Author) , Floca, Ralf (Author) , Haberkorn, Uwe (Author) , Paech, Daniel (Author)
Format: Article (Journal)
Language:English
Published: August 2020
In: Data in Brief
Year: 2020, Volume: 31, Pages: 11-5
ISSN:2352-3409
DOI:10.1016/j.dib.2020.105712
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.dib.2020.105712
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S2352340920306065
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Author Notes:Manuel Röhrich, Lisa Loi, Ralf Floca, Uwe Haberkorn, Daniel Paech
Description
Summary:This dataset is based on multimodal MRI and FAP-specific PET/CT Imaging applied to 13 patients with histologically proven glioblastomas. Imaging Data was processed using Medical Imaging Interaction Toolkit (MITK) software. MRI images (contrast enhanced T1w, T2w/FLAIR, ADC, rCBV) were co-registrated with FAP-specific PET images. T2w/FLAIR hyperintensities and contrast enhancing lesions were segmented manually. Necrotic areas were segmented manually and subtracted from T2w/FLAIR hyperintensities and contrast enhancing lesions. Voxelwise ADC/rCBV and PET signal intensities in projection on T2w/FLAIR hyperintensities and contrast enhancing lesions were extracted using the pixel dumper function of the MITK software and stored as excel-files. The data presented in this article has been analysed and described in the article FAP-specific “PET signaling shows a moderately positive correlation with relative CBV and no correlation with ADC in 13 IDH wildtype Glioblastomas” published in the European Journal of Radiology.
Item Description:Gesehen am 21.07.2026
Physical Description:Online Resource
ISSN:2352-3409
DOI:10.1016/j.dib.2020.105712

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