Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting

被引:0
作者
Johannes Haubold
Aydin Demircioglu
Marcel Gratz
Martin Glas
Karsten Wrede
Ulrich Sure
Gerald Antoch
Kathy Keyvani
Mathias Nittka
Stephan Kannengiesser
Vikas Gulani
Mark Griswold
Ken Herrmann
Michael Forsting
Felix Nensa
Lale Umutlu
机构
[1] University Hospital Essen,Department of Diagnostic and Interventional Radiology and Neuroradiology
[2] University Duisburg-Essen,Erwin L Hahn Institute for Magnetic Resonance Imaging
[3] University Hospital Essen,Division of Clinical Neurooncology, Department of Neurology
[4] University Hospital Essen,Department of Neurosurgery
[5] University Dusseldorf,Department of Diagnostic and Interventional Radiology
[6] Medical Faculty,Department of Neuropathology
[7] University Hospital Essen,Clinic of Nuclearmedicine
[8] Siemens Healthcare,undefined
[9] Case Western Reserve University,undefined
[10] University Hospital Essen,undefined
来源
European Journal of Nuclear Medicine and Molecular Imaging | 2020年 / 47卷
关键词
Glioma; IDH1; ATRX; 1p19q; PET-MRI; Radiomics; FET PET; MR fingerprinting;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1435 / 1445
页数:10
相关论文
共 25 条
  • [21] [18F]FLT PET for Non-Invasive Monitoring of Early Response to Gene Therapy in Experimental Gliomas
    Maria A. Rueger
    Mitra Ameli
    Hongfeng Li
    Alexandra Winkeler
    Benedikt Rueckriem
    Stefan Vollmar
    Norbert Galldiks
    Volker Hesselmann
    Cornel Fraefel
    Klaus Wienhard
    Wolf-Dieter Heiss
    Andreas H. Jacobs
    Molecular Imaging and Biology, 2011, 13 : 547 - 557
  • [22] Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas
    Blanc-Durand, Paul
    Van der Gucht, Axel
    Verger, Antoine
    Langen, Karl-Josef
    Dunet, Vincent
    Bloch, Jocelyne
    Brouland, Jean-Philippe
    Nicod-Lalonde, Marie
    Schaefer, Niklaus
    Prior, John O.
    PLOS ONE, 2018, 13 (06):
  • [23] Towards quantitative [18F]FDG-PET/MRI of the brain: Automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates
    Sundar, Lalith K. S.
    Muzik, Otto
    Rischka, Lucas
    Hahn, Andreas
    Rausch, Ivo
    Lanzenberger, Rupert
    Hienert, Marius
    Klebermass, Eva-Maria
    Fuechsel, Frank-Guenther
    Hacker, Marcus
    Pilz, Magdalena
    Pataraia, Ekaterina
    Traub-Weidinger, Tatjana
    Beyer, Thomas
    JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 2019, 39 (08) : 1516 - 1530
  • [24] Non-invasive measurement of tumor immune microenvironment and prediction of survival and chemotherapeutic benefits from 18F fluorodeoxyglucose PET/CT images in gastric cancer
    Li, Junmeng
    Zhang, Chao
    Guo, Huihui
    Li, Shuang
    You, Yang
    Zheng, Peiming
    Zhang, Hongquan
    Wang, Huanan
    Bai, Junwei
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [25] Non-Invasive Prediction of IDH Mutation in Patients with Glioma WHO II/III/IV Based on F-18-FET PET-Guided In Vivo 1H-Magnetic Resonance Spectroscopy and Machine Learning
    Bumes, Elisabeth
    Wirtz, Fro-Philip
    Fellner, Claudia
    Grosse, Jirka
    Hellwig, Dirk
    Oefner, Peter J.
    Haeckl, Martina
    Linker, Ralf
    Proescholdt, Martin
    Schmidt, Nils Ole
    Riemenschneider, Markus J.
    Samol, Claudia
    Rosengarth, Katharina
    Wendl, Christina
    Hau, Peter
    Gronwald, Wolfram
    Hutterer, Markus
    CANCERS, 2020, 12 (11) : 1 - 15