Literature DB >> 25410316

Radiogenomics and imaging phenotypes in glioblastoma: novel observations and correlation with molecular characteristics.

Benjamin M Ellingson1.   

Abstract

Radiogenomics is a provocative new area of research based on decades of previous work examining the association between radiological and histological features. Many generalized associations have been established linking anatomical imaging traits with underlying histopathology, including associations between contrast-enhancing tumor and vascular and tumor cell proliferation, hypointensity on pre-contrast T1-weighted images and necrotic tissue, and associations between hyperintensity on T2-weighted images and edema or nonenhancing tumor. Additionally, tumor location, tumor size, composition, and descriptive features tend to show significant associations with molecular and genomic factors, likely related to the cell of origin and growth characteristics. Additionally, physiologic MRI techniques also show interesting correlations with underlying histology and genomic programs, including associations with gene expression signatures and histological subtypes. Future studies extending beyond simple radiology-histology associations are warranted in order to establish radiogenomic analyses as tools for prospectively identifying patient subtypes that may benefit from specific therapies.

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Year:  2015        PMID: 25410316     DOI: 10.1007/s11910-014-0506-0

Source DB:  PubMed          Journal:  Curr Neurol Neurosci Rep        ISSN: 1528-4042            Impact factor:   5.081


  98 in total

1.  Prognostic significance of preoperative MRI scans in glioblastoma multiforme.

Authors:  M A Hammoud; R Sawaya; W Shi; P F Thall; N E Leeds
Journal:  J Neurooncol       Date:  1996-01       Impact factor: 4.130

2.  Anatomic localization of O6-methylguanine DNA methyltransferase (MGMT) promoter methylated and unmethylated tumors: a radiographic study in 358 de novo human glioblastomas.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Whitney B Pope; Taryar M Zaw; Heidi Phillips; Shadi Lalezari; Phioanh L Nghiemphu; Hassana Ibrahim; Kourosh M Naeini; Robert J Harris; Albert Lai
Journal:  Neuroimage       Date:  2011-10-07       Impact factor: 6.556

3.  Glial tumor grading and outcome prediction using dynamic spin-echo MR susceptibility mapping compared with conventional contrast-enhanced MR: confounding effect of elevated rCBV of oligodendrogliomas [corrected].

Authors:  Michael H Lev; Yelda Ozsunar; John W Henson; Amjad A Rasheed; Glenn D Barest; Griffith R Harsh; Markus M Fitzek; E Antonio Chiocca; James D Rabinov; Andrew N Csavoy; Bruce R Rosen; Fred H Hochberg; Pamela W Schaefer; R Gilberto Gonzalez
Journal:  AJNR Am J Neuroradiol       Date:  2004-02       Impact factor: 3.825

4.  Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial.

Authors:  Roger Stupp; Monika E Hegi; Warren P Mason; Martin J van den Bent; Martin J B Taphoorn; Robert C Janzer; Samuel K Ludwin; Anouk Allgeier; Barbara Fisher; Karl Belanger; Peter Hau; Alba A Brandes; Johanna Gijtenbeek; Christine Marosi; Charles J Vecht; Karima Mokhtari; Pieter Wesseling; Salvador Villa; Elizabeth Eisenhauer; Thierry Gorlia; Michael Weller; Denis Lacombe; J Gregory Cairncross; René-Olivier Mirimanoff
Journal:  Lancet Oncol       Date:  2009-03-09       Impact factor: 41.316

5.  Identification of noninvasive imaging surrogates for brain tumor gene-expression modules.

Authors:  Maximilian Diehn; Christine Nardini; David S Wang; Susan McGovern; Mahesh Jayaraman; Yu Liang; Kenneth Aldape; Soonmee Cha; Michael D Kuo
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-24       Impact factor: 11.205

6.  Glioma vascularity correlates with reduced patient survival and increased malignancy.

Authors:  Stephen M Russell; Robert Elliott; David Forshaw; John G Golfinos; Peter K Nelson; Patrick J Kelly
Journal:  Surg Neurol       Date:  2009-03-29

7.  MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.

Authors:  David A Gutman; Lee A D Cooper; Scott N Hwang; Chad A Holder; Jingjing Gao; Tarun D Aurora; William D Dunn; Lisa Scarpace; Tom Mikkelsen; Rajan Jain; Max Wintermark; Manal Jilwan; Prashant Raghavan; Erich Huang; Robert J Clifford; Pattanasak Mongkolwat; Vladimir Kleper; John Freymann; Justin Kirby; Pascal O Zinn; Carlos S Moreno; Carl Jaffe; Rivka Colen; Daniel L Rubin; Joel Saltz; Adam Flanders; Daniel J Brat
Journal:  Radiology       Date:  2013-02-07       Impact factor: 11.105

8.  Brain tumor enhancement in MR imaging at 3 Tesla: comparison of SNR and CNR gain using TSE and GRE techniques.

Authors:  Bernd J Wintersperger; Val M Runge; Jonmenjoy Biswas; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Invest Radiol       Date:  2007-08       Impact factor: 6.016

9.  Generation of induced pluripotent stem cells without Myc from mouse and human fibroblasts.

Authors:  Masato Nakagawa; Michiyo Koyanagi; Koji Tanabe; Kazutoshi Takahashi; Tomoko Ichisaka; Takashi Aoi; Keisuke Okita; Yuji Mochiduki; Nanako Takizawa; Shinya Yamanaka
Journal:  Nat Biotechnol       Date:  2007-11-30       Impact factor: 54.908

10.  Radiogenomic mapping of edema/cellular invasion MRI-phenotypes in glioblastoma multiforme.

Authors:  Pascal O Zinn; Bhanu Mahajan; Bhanu Majadan; Pratheesh Sathyan; Sanjay K Singh; Sadhan Majumder; Ferenc A Jolesz; Rivka R Colen
Journal:  PLoS One       Date:  2011-10-05       Impact factor: 3.240

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  54 in total

1.  Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma.

Authors:  Guido H Jajamovich; Chandni R Valiathan; Razvan Cristescu; Sangeetha Somayajula
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

2.  Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.

Authors:  Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunc; Ragini Verma; Michel Bilello; Christos Davatzikos
Journal:  Brainlesion       Date:  2018-02-17

3.  Restriction spectrum imaging predicts response to bevacizumab in patients with high-grade glioma.

Authors:  Carrie R McDonald; Rachel L Delfanti; Anitha P Krishnan; Kelly M Leyden; Jona A Hattangadi-Gluth; Tyler M Seibert; Roshan Karunamuni; Pia Elbe; Joshua M Kuperman; Hauke Bartsch; David E Piccioni; Nathan S White; Anders M Dale; Nikdokht Farid
Journal:  Neuro Oncol       Date:  2016-04-21       Impact factor: 12.300

4.  In Vivo Detection of EGFRvIII in Glioblastoma via Perfusion Magnetic Resonance Imaging Signature Consistent with Deep Peritumoral Infiltration: The φ-Index.

Authors:  Spyridon Bakas; Hamed Akbari; Jared Pisapia; Maria Martinez-Lage; Martin Rozycki; Saima Rathore; Nadia Dahmane; Donald M O'Rourke; Christos Davatzikos
Journal:  Clin Cancer Res       Date:  2017-04-20       Impact factor: 12.531

5.  Morphologic Features on MR Imaging Classify Multifocal Glioblastomas in Different Prognostic Groups.

Authors:  J Pérez-Beteta; D Molina-García; M Villena; M J Rodríguez; C Velásquez; J Martino; B Meléndez-Asensio; Á Rodríguez de Lope; R Morcillo; J M Sepúlveda; A Hernández-Laín; A Ramos; J A Barcia; P C Lara; D Albillo; A Revert; E Arana; V M Pérez-García
Journal:  AJNR Am J Neuroradiol       Date:  2019-03-28       Impact factor: 3.825

6.  Tumour heterogeneity in glioblastoma assessed by MRI texture analysis: a potential marker of survival.

Authors:  David Molina; Julián Pérez-Beteta; Belén Luque; Elena Arregui; Manuel Calvo; José M Borrás; Carlos López; Juan Martino; Carlos Velasquez; Beatriz Asenjo; Manuel Benavides; Ismael Herruzo; Alicia Martínez-González; Luis Pérez-Romasanta; Estanislao Arana; Víctor M Pérez-García
Journal:  Br J Radiol       Date:  2016-06-20       Impact factor: 3.039

7.  Clinical parameters outweigh diffusion- and perfusion-derived MRI parameters in predicting survival in newly diagnosed glioblastoma.

Authors:  Sina Burth; Philipp Kickingereder; Oliver Eidel; Diana Tichy; David Bonekamp; Lukas Weberling; Antje Wick; Sarah Löw; Anne Hertenstein; Martha Nowosielski; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Neuro Oncol       Date:  2016-06-13       Impact factor: 12.300

8.  Glioblastoma: does the pre-treatment geometry matter? A postcontrast T1 MRI-based study.

Authors:  Julián Pérez-Beteta; Alicia Martínez-González; David Molina; Mariano Amo-Salas; Belén Luque; Elena Arregui; Manuel Calvo; José M Borrás; Carlos López; Marta Claramonte; Juan A Barcia; Lidia Iglesias; Josué Avecillas; David Albillo; Miguel Navarro; José M Villanueva; Juan C Paniagua; Juan Martino; Carlos Velásquez; Beatriz Asenjo; Manuel Benavides; Ismael Herruzo; María Del Carmen Delgado; Ana Del Valle; Anthony Falkov; Philippe Schucht; Estanislao Arana; Luis Pérez-Romasanta; Víctor M Pérez-García
Journal:  Eur Radiol       Date:  2016-06-21       Impact factor: 5.315

9.  Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns.

Authors:  Samar S M Elsheikh; Spyridon Bakas; Nicola J Mulder; Emile R Chimusa; Christos Davatzikos; Alessandro Crimi
Journal:  Brainlesion       Date:  2019-01-26

10.  MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks.

Authors:  Lichy Han; Maulik R Kamdar
Journal:  Pac Symp Biocomput       Date:  2018
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