Journal Article

FZJ-2018-04584

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Radiomics derived from amino acid PET and conventional MRI in patients with high-grade gliomas

Lohmann, P. (Corresponding author)FZJ* ; Kocher, M.FZJ* ; Steger, J. ; Galldiks, N.FZJ*

2018
Ed. Minerva Medica Torino

This record in other databases:      

Please use a persistent id in citations: doi:10.23736/S1824-4785.18.03095-9

Abstract: Radiomics is a technique that uses high-throughput computing to extract quantitative features from tomographic medical images such as MRI and PET that usually are beyond visual perception. Importantly, the radiomics approach can be performed using neuroimages that have already been acquired during the routine follow-up of the patients allowing an additional data evaluation at low cost. In Neuro-Oncology, these features can potentially be used for differential diagnosis of newly diagnosed cerebral lesions suggestive for brain tumors or for the prediction of response to a neurooncological treatment option. Furthermore, especially in the light of the recent update of the World Health Organization classification of brain tumors, radiomics also has the potential to non-invasively assess important prognostic and predictive molecular markers such as a mutation in the isocitrate dehydrogenase gene or a 1p/19q codeletion which are not accessible by conventional visual interpretation of MRI or PET findings. This review summarizes the current status of the rapidly evolving field of radiomics with a special focus on patients with high-grade gliomas.

---

Contributing Institute(s):

1. Kognitive Neurowissenschaften (INM-3)
2. Physik der Medizinischen Bildgebung (INM-4)

Research Program(s):

1. 572 - (Dys-)function and Plasticity (POF3-572) (POF3-572)

Appears in the scientific report 2018

---

Database coverage:
; Current Contents - Clinical Medicine ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

---