Literature DB >> 25078721

Multimodal imaging of gliomas in the context of evolving cellular and molecular therapies.

Olivier Keunen1, Torfinn Taxt2, Renate Grüner3, Morten Lund-Johansen4, Joerg-Christian Tonn5, Tina Pavlin6, Rolf Bjerkvig7, Simone P Niclou8, Frits Thorsen9.   

Abstract

The vast majority of malignant gliomas relapse after surgery and standard radio-chemotherapy. Novel molecular and cellular therapies are thus being developed, targeting specific aspects of tumor growth. While histopathology remains the gold standard for tumor classification, neuroimaging has over the years taken a central role in the diagnosis and treatment follow up of brain tumors. It is used to detect and localize lesions, define the target area for biopsies, plan surgical and radiation interventions and assess tumor progression and treatment outcome. In recent years the application of novel drugs including anti-angiogenic agents that affect the tumor vasculature, has drastically modulated the outcome of brain tumor imaging. To properly evaluate the effects of emerging experimental therapies and successfully support treatment decisions, neuroimaging will have to evolve. Multi-modal imaging systems with existing and new contrast agents, molecular tracers, technological advances and advanced data analysis can all contribute to the establishment of disease relevant biomarkers that will improve disease management and patient care. In this review, we address the challenges of glioma imaging in the context of novel molecular and cellular therapies, and take a prospective look at emerging experimental and pre-clinical imaging techniques that bear the promise of meeting these challenges.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  (11)C-methionine (PubChem CID: 15556483); (18)F-fluorodeoxyglucose (PubChem CID: 450503); (18)F-fluoroethyltyrosine (PubChem CID: 44439370); (18)F-fluoromisonidazole (PubChem CID: 450173); (18)F-fluorothymidine (PubChem CID: 450772); Brain tumors; Computer vision; Gadolinium (PubChem CID: 23982); Image analysis; Magnetic resonance imaging; Molecular imaging; Neuroimaging; Positron emission tomography; Radiology information systems; Temozolomide (PubChem CID: 5394)

Mesh:

Year:  2014        PMID: 25078721     DOI: 10.1016/j.addr.2014.07.010

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  16 in total

1.  Phase 0 and window of opportunity clinical trial design in neuro-oncology: a RANO review.

Authors:  Michael A Vogelbaum; Daria Krivosheya; Hamid Borghei-Razavi; Nader Sanai; Michael Weller; Wolfgang Wick; Riccardo Soffietti; David A Reardon; Manish K Aghi; Evanthia Galanis; Patrick Y Wen; Martin van den Bent; Susan Chang
Journal:  Neuro Oncol       Date:  2020-11-26       Impact factor: 12.300

2.  Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous 18F-FDG-PET/MRI: A Single-Institution Retrospective Study.

Authors:  A Jena; S Taneja; A Jha; N K Damesha; P Negi; G K Jadhav; S M Verma; S K Sogani
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-24       Impact factor: 3.825

3.  MnO nanoparticles with unique excitation-dependent fluorescence for multicolor cellular imaging and MR imaging of brain glioma.

Authors:  Junxin Lai; Tingjian Wang; Hao Wang; Fengqiang Shi; Wei Gu; Ling Ye
Journal:  Mikrochim Acta       Date:  2018-04-02       Impact factor: 5.833

4.  Antiangiogenic Effect of Bevacizumab: Application of Arterial Spin-Labeling Perfusion MR Imaging in a Rat Glioblastoma Model.

Authors:  T J Yun; H R Cho; S H Choi; H Kim; J-K Won; S-W Park; J-H Kim; C-H Sohn; M H Han
Journal:  AJNR Am J Neuroradiol       Date:  2016-05-12       Impact factor: 3.825

5.  Suppression of the Smurf1 Expression Inhibits Tumor Progression in Gliomas.

Authors:  Hao Chang; Jingning Zhang; Zengli Miao; Yasuo Ding; Xing Xu; Xudong Zhao; Peng Xu; Qing Wang; Yuchang Lin
Journal:  Cell Mol Neurobiol       Date:  2017-03-20       Impact factor: 5.046

Review 6.  Getting into the brain: liposome-based strategies for effective drug delivery across the blood-brain barrier.

Authors:  Débora B Vieira; Lionel F Gamarra
Journal:  Int J Nanomedicine       Date:  2016-10-18

7.  Recombinant epidermal growth factor-like domain-1 from coagulation factor VII functionalized iron oxide nanoparticles for targeted glioma magnetic resonance imaging.

Authors:  Heng Liu; Xiao Chen; Wei Xue; Chengchao Chu; Yu Liu; Haipeng Tong; Xuesong Du; Tian Xie; Gang Liu; Weiguo Zhang
Journal:  Int J Nanomedicine       Date:  2016-10-06

8.  Tc-99m Glucoheptonate Single Photon Emission Computed Tomography-Computed Tomography for Detection of Recurrent Glioma: A Prospective Comparison with N-13 Ammonia Positron Emission Tomography-Computed Tomography.

Authors:  Bangkim Chandra Khangembam; Abhinav Singhal; Rajeev Kumar; Chandrasekhar Bal
Journal:  Indian J Nucl Med       Date:  2019 Apr-Jun

9.  CD99 Expression in Glioblastoma Molecular Subtypes and Role in Migration and Invasion.

Authors:  Lais C Cardoso; Roseli da S Soares; Talita de S Laurentino; Antonio M Lerario; Suely K N Marie; Sueli Mieko Oba-Shinjo
Journal:  Int J Mol Sci       Date:  2019-03-06       Impact factor: 5.923

10.  Targeted Proteomics to Assess the Response to Anti-Angiogenic Treatment in Human Glioblastoma (GBM).

Authors:  Kevin Demeure; Fred Fack; Elodie Duriez; Katja Tiemann; Amandine Bernard; Anna Golebiewska; Sébastien Bougnaud; Rolf Bjerkvig; Bruno Domon; Simone P Niclou
Journal:  Mol Cell Proteomics       Date:  2015-08-04       Impact factor: 5.911

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