Literature DB >> 28841802

Advanced magnetic resonance imaging in glioblastoma: a review.

Gaurav Shukla1, Gregory S Alexander2, Spyridon Bakas3, Rahul Nikam4, Kiran Talekar4, Joshua D Palmer5, Wenyin Shi6.   

Abstract

Glioblastoma, the most common and most rapidly progressing primary malignant tumor of the central nervous system, continues to portend a dismal prognosis, despite improvements in diagnostic and therapeutic strategies over the last 20 years. The standard of care radiographic characterization of glioblastoma is magnetic resonance imaging (MRI), which is a widely utilized examination in the diagnosis and post-treatment management of patients with glioblastoma. Basic MRI modalities available from any clinical scanner, including native T1-weighted (T1w) and contrast-enhanced (T1CE), T2-weighted (T2w), and T2-fluid-attenuated inversion recovery (T2-FLAIR) sequences, provide critical clinical information about various processes in the tumor environment. In the last decade, advanced MRI modalities are increasingly utilized to further characterize glioblastomas more comprehensively. These include multi-parametric MRI sequences, such as dynamic susceptibility contrast (DSC), dynamic contrast enhancement (DCE), higher order diffusion techniques such as diffusion tensor imaging (DTI), and MR spectroscopy (MRS). Significant efforts are ongoing to implement these advanced imaging modalities into improved clinical workflows and personalized therapy approaches. Functional MRI (fMRI) and tractography are increasingly being used to identify eloquent cortices and important tracts to minimize postsurgical neuro-deficits. A contemporary review of the application of standard and advanced MRI in clinical neuro-oncologic practice is presented here.

Entities:  

Keywords:  Glioblastoma; diffusion; magnetic resonance imaging (MRI); perfusion; radiation oncology; radiomics; spectroscopy

Mesh:

Year:  2017        PMID: 28841802     DOI: 10.21037/cco.2017.06.28

Source DB:  PubMed          Journal:  Chin Clin Oncol        ISSN: 2304-3865


  32 in total

1.  Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology.

Authors:  Andreas Mang; Spyridon Bakas; Shashank Subramanian; Christos Davatzikos; George Biros
Journal:  Annu Rev Biomed Eng       Date:  2020-06-04       Impact factor: 9.590

2.  Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols.

Authors:  Spyridon Bakas; Gaurav Shukla; Hamed Akbari; Guray Erus; Aristeidis Sotiras; Saima Rathore; Chiharu Sako; Sung Min Ha; Martin Rozycki; Ashish Singh; Russell Shinohara; Michel Bilello; Christos Davatzikos
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2020-03-16

3.  Repeatability of image features extracted from FET PET in application to post-surgical glioblastoma assessment.

Authors:  Nathaniel Barry; Pejman Rowshanfarzad; Roslyn J Francis; Anna K Nowak; Martin A Ebert
Journal:  Phys Eng Sci Med       Date:  2021-08-26

4.  From research to clinical practice: a European neuroradiological survey on quantitative advanced MRI implementation.

Authors:  Elia Manfrini; Vera C Keil; Marion Smits; Steffi Thust; Sergej Geiger; Zeynep Bendella; Jan Petr; Laszlo Solymosi
Journal:  Eur Radiol       Date:  2021-01-22       Impact factor: 5.315

Review 5.  Radiosensitizing high-Z metal nanoparticles for enhanced radiotherapy of glioblastoma multiforme.

Authors:  Jinyeong Choi; Gaeun Kim; Su Bin Cho; Hyung-Jun Im
Journal:  J Nanobiotechnology       Date:  2020-09-03       Impact factor: 10.435

6.  Comparative evaluation of cerebral gliomas using rCBV measurements during sequential acquisition of T1-perfusion and T2*-perfusion MRI.

Authors:  Jitender Saini; Rakesh Kumar Gupta; Manoj Kumar; Anup Singh; Indrajit Saha; Vani Santosh; Manish Beniwal; Thennarasu Kandavel; Marc Van Cauteren
Journal:  PLoS One       Date:  2019-04-24       Impact factor: 3.240

7.  An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures.

Authors:  Yang Yang; Yu Han; Xintao Hu; Wen Wang; Guangbin Cui; Lei Guo; Xin Zhang
Journal:  Front Neurosci       Date:  2021-05-13       Impact factor: 4.677

Review 8.  The Role of PET in Supratentorial and Infratentorial Pediatric Brain Tumors.

Authors:  Angelina Cistaro; Domenico Albano; Pierpaolo Alongi; Riccardo Laudicella; Daniele Antonio Pizzuto; Giuseppe Formica; Cinzia Romagnolo; Federica Stracuzzi; Viviana Frantellizzi; Arnoldo Piccardo; Natale Quartuccio
Journal:  Curr Oncol       Date:  2021-07-05       Impact factor: 3.677

9.  A Crowdsourced Consensus on Supratotal Resection Versus Gross Total Resection for Anatomically Distinct Primary Glioblastoma.

Authors:  Adham M Khalafallah; Maureen Rakovec; Chetan Bettegowda; Christopher M Jackson; Gary L Gallia; Jon D Weingart; Michael Lim; Yoshua Esquenazi; Brad E Zacharia; Ezequiel Goldschmidt; Mateo Ziu; Michael E Ivan; Andrew S Venteicher; Edjah K Nduom; Adam N Mamelak; Ray M Chu; John S Yu; Jason P Sheehan; Brian V Nahed; Bob S Carter; Mitchel S Berger; Raymond Sawaya; Debraj Mukherjee
Journal:  Neurosurgery       Date:  2021-09-15       Impact factor: 5.315

10.  Radiomic Features of Multiparametric MRI Present Stable Associations With Analogous Histological Features in Patients With Brain Cancer.

Authors:  Samuel A Bobholz; Allison K Lowman; Alexander Barrington; Michael Brehler; Sean McGarry; Elizabeth J Cochran; Jennifer Connelly; Wade M Mueller; Mohit Agarwal; Darren O'Neill; Andrew S Nencka; Anjishnu Banerjee; Peter S LaViolette
Journal:  Tomography       Date:  2020-06
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