Literature DB >> 27742113

Imaging Genomics in Glioblastoma Multiforme: A Predictive Tool for Patients Prognosis, Survival, and Outcome.

Rahul Anil1, Rivka R Colen2.   

Abstract

The integration of imaging characteristics and genomic data has started a new trend in approach toward management of glioblastoma (GBM). Many ongoing studies are investigating imaging phenotypical signatures that could explain more about the behavior of GBM and its outcome. The discovery of biomarkers has played an adjuvant role in treating and predicting the outcome of patients with GBM. Discovering these imaging phenotypical signatures and dysregulated pathways/genes is needed and required to engineer treatment based on specific GBM manifestations. Characterizing these parameters will establish well-defined criteria so researchers can build on the treatment of GBM through personal medicine.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genomics; Glioblastoma; Imaging; Outcome; Prognosis; Survival

Mesh:

Year:  2016        PMID: 27742113     DOI: 10.1016/j.mric.2016.07.002

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN: 1064-9689            Impact factor:   2.266


  4 in total

1.  Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.

Authors:  Zhenyu Tang; Yuyun Xu; Zhicheng Jiao; Junfeng Lu; Lei Jin; Abudumijiti Aibaidula; Jinsong Wu; Qian Wang; Han Zhang; Dinggang Shen
Journal:  Med Image Comput Comput Assist Interv       Date:  2019-10-10

Review 2.  From imaging to biology of glioblastoma: new clinical oncology perspectives to the problem of local recurrence.

Authors:  A Zygogianni; M Protopapa; A Kougioumtzopoulou; F Simopoulou; S Nikoloudi; V Kouloulias
Journal:  Clin Transl Oncol       Date:  2018-01-15       Impact factor: 3.405

3.  Apoptosis related microRNAs and MGMT in glioblastoma cell lines submitted to treatments with ionizing radiation and temozolomide.

Authors:  Felipe Amstalden Trevisan; Andressa Romualdo Rodrigues; Fermino Sanches Lizarte Neto; Fernanda Maris Peria; Múcio Luiz de Assis Cirino; Daniela Pretti da Cunha Tirapelli; Carlos Gilberto Carlotti Júnior
Journal:  Rep Pract Oncol Radiother       Date:  2020-07-10

4.  Prognostic significance of epidermal growth factor receptor expression in glioma patients.

Authors:  Junhong Li; Ruofei Liang; Chen Song; Yufan Xiang; Yanhui Liu
Journal:  Onco Targets Ther       Date:  2018-02-07       Impact factor: 4.147

  4 in total

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