Combined FET PET/MRI radiomics differentiates radiation injury from recurrent brain metastasis

NeuroImage. Clinical
Philipp LohmannNorbert Galldiks

Abstract

The aim of this study was to investigate the potential of combined textural feature analysis of contrast-enhanced MRI (CE-MRI) and static O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET for the differentiation between local recurrent brain metastasis and radiation injury since CE-MRI often remains inconclusive. Fifty-two patients with new or progressive contrast-enhancing brain lesions on MRI after radiotherapy (predominantly stereotactic radiosurgery) of brain metastases were additionally investigated using FET PET. Based on histology (n = 19) or clinicoradiological follow-up (n = 33), local recurrent brain metastases were diagnosed in 21 patients (40%) and radiation injury in 31 patients (60%). Forty-two textural features were calculated on both unfiltered and filtered CE-MRI and summed FET PET images (20-40 min p.i.), using the software LIFEx. After feature selection, logistic regression models using a maximum of five features to avoid overfitting were calculated for each imaging modality separately and for the combined FET PET/MRI features. The resulting models were validated using cross-validation. Diagnostic accuracies were calculated for each imaging modality separately as well as for the combined model. For the differentiat...Continue Reading

Citations

Jan 8, 2019·Neuro-oncology·Norbert GalldiksJörg C Tonn
Jul 12, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Isabella CastiglioniMarco Salvatore
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Mar 3, 2020·Frontiers in Neurology·Philipp LohmannNorbert Galldiks
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Methods Mentioned

BETA
feature extraction
chemical exchange saturation transfer

Software Mentioned

R
PMOD
MATLAB
bestglm
LIFEx
R - package

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