Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma

201672 citationsJournal Articlediamond Open Access

Authors

Sied Kebir · University of Bonn

Zain Khurshid · University of Bonn

Florian Gaertner · University of Bonn

Markus Essler · University of Bonn

Elke Hattingen · University of Bonn

Rolf Fimmers · University of Bonn

Björn Scheffler · University of Bonn

Abstract

Clustering based on textural O-(2-[18F]fluoroethyl)-L-tyrosine PET features may provide valuable information in assessing the elusive phenomenon of pseudoprogression.

Topics & Keywords

Radiomics and Machine Learning in Medical Imaging Glioma Diagnosis and Treatment Molecular Biology Techniques and Applications

Publication Details

Published in: Oncotarget

Volume 8, Issue 5, pp. 8294-8304

DOI: 10.18632/oncotarget.14166

Field-Weighted Citation Impact: 7.36

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Unsupervised consensus cluster analysis of [18F]-fluoroethyl-L-tyrosine positron emission tomography identified textural features for the diagnosis of pseudoprogression in high-grade glioma

Authors

Abstract

Topics & Keywords

Publication Details