Literature DB >> 26497327

Assessing and monitoring intratumor heterogeneity in glioblastoma: how far has multimodal imaging come?

Natalie R Boonzaier1,2, Sara G M Piccirillo3, Colin Watts1, Stephen J Price1,2.   

Abstract

Glioblastoma demonstrates imaging features of intratumor heterogeneity that result from underlying heterogeneous biological properties. This stems from variations in cellular behavior that result from genetic mutations that either drive, or are driven by, heterogeneous microenvironment conditions. Among all imaging methods available, only T1-weighted contrast-enhancing and T2-weighted fluid-attenuated inversion recovery are used in standard clinical glioblastoma assessment and monitoring. Advanced imaging modalities are still considered emerging techniques as appropriate end points and robust methodologies are missing from clinical trials. Discovering how these images specifically relate to the underlying tumor biology may aid in improving quality of clinical trials and understanding the factors involved in regional responses to treatment, including variable drug uptake and effect of radiotherapy. Upon validation and standardization of emerging MR techniques, providing information based on the underlying tumor biology, these images may allow for clinical decision-making that is tailored to an individual's response to treatment.

Entities:  

Keywords:  advanced imaging; glioblastoma; intratumor heterogeneity; subregional assessment; underlying biology

Mesh:

Year:  2015        PMID: 26497327      PMCID: PMC6083939          DOI: 10.2217/cns.15.20

Source DB:  PubMed          Journal:  CNS Oncol        ISSN: 2045-0907


  76 in total

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Journal:  Acta Neurochir (Wien)       Date:  2012-06-23       Impact factor: 2.216

2.  Differentiation of tumor progression from pseudoprogression in patients with posttreatment glioblastoma using multiparametric histogram analysis.

Authors:  J Cha; S T Kim; H-J Kim; B-J Kim; Y K Kim; J Y Lee; P Jeon; K H Kim; D-S Kong; D-H Nam
Journal:  AJNR Am J Neuroradiol       Date:  2014-03-27       Impact factor: 3.825

Review 3.  Pros and cons of current brain tumor imaging.

Authors:  Benjamin M Ellingson; Patrick Y Wen; Martin J van den Bent; Timothy F Cloughesy
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

4.  Standardization of relative cerebral blood volume (rCBV) image maps for ease of both inter- and intrapatient comparisons.

Authors:  Devyani Bedekar; Todd Jensen; Kathleen M Schmainda
Journal:  Magn Reson Med       Date:  2010-09       Impact factor: 4.668

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.  Imaging of hypoxic lesions in patients with gliomas by using positron emission tomography with 1-(2-[18F] fluoro-1-[hydroxymethyl]ethoxy)methyl-2-nitroimidazole, a new 18F-labeled 2-nitroimidazole analog.

Authors:  Ichiyo Shibahara; Toshihiro Kumabe; Masayuki Kanamori; Ryuta Saito; Yukihiko Sonoda; Mika Watanabe; Ren Iwata; Shuichi Higano; Kentaro Takanami; Yoshihiro Takai; Teiji Tominaga
Journal:  J Neurosurg       Date:  2010-08       Impact factor: 5.115

7.  Cell migration or cytokinesis and proliferation?--revisiting the "go or grow" hypothesis in cancer cells in vitro.

Authors:  Tamás Garay; Éva Juhász; Eszter Molnár; Maria Eisenbauer; András Czirók; Barbara Dekan; Viktória László; Mir Alireza Hoda; Balázs Döme; József Tímár; Walter Klepetko; Walter Berger; Balázs Hegedűs
Journal:  Exp Cell Res       Date:  2013-08-22       Impact factor: 3.905

Review 8.  Cancer stem cells: impact, heterogeneity, and uncertainty.

Authors:  Jeffrey A Magee; Elena Piskounova; Sean J Morrison
Journal:  Cancer Cell       Date:  2012-03-20       Impact factor: 31.743

9.  Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas.

Authors:  Stephen J Price; Alonso Peña; Neil G Burnet; Raj Jena; Hadrian A L Green; T Adrian Carpenter; John D Pickard; Jonathan H Gillard
Journal:  Eur Radiol       Date:  2004-06-25       Impact factor: 5.315

10.  18F-fluorothymidine-pet imaging of glioblastoma multiforme: effects of radiation therapy on radiotracer uptake and molecular biomarker patterns.

Authors:  Sanjay Chandrasekaran; Andrew Hollander; Xiangsheng Xu; Joseph L Benci; James J Davis; Jay F Dorsey; Gary Kao
Journal:  ScientificWorldJournal       Date:  2013-04-04
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  3 in total

1.  Monocytes carrying GFAP detect glioma, brain metastasis and ischaemic stroke, and predict glioblastoma survival.

Authors:  Wouter B L van den Bossche; Arnaud J P E Vincent; Cristina Teodosio; Jeroen Koets; Aladdin Taha; Anne Kleijn; Sandra de Bruin; Willem A Dik; Daniela Damasceno; Julia Almeida; Diederik W J Dippel; Clemens M F Dirven; Alberto Orfao; Martine L M Lamfers; Jacques J M van Dongen
Journal:  Brain Commun       Date:  2020-12-26

2.  Phosphorous Magnetic Resonance Spectroscopy to Detect Regional Differences of Energy and Membrane Metabolism in Naïve Glioblastoma Multiforme.

Authors:  Lisa Maria Walchhofer; Ruth Steiger; Andreas Rietzler; Johannes Kerschbaumer; Christian Franz Freyschlag; Günther Stockhammer; Elke Ruth Gizewski; Astrid Ellen Grams
Journal:  Cancers (Basel)       Date:  2021-05-26       Impact factor: 6.639

3.  Semi-automated construction of patient individualised clinical target volumes for radiotherapy treatment of glioblastoma utilising diffusion tensor decomposition maps.

Authors:  Roushanak Rahmat; Frederic Brochu; Chao Li; Rohitashwa Sinha; Stephen John Price; Raj Jena
Journal:  Br J Radiol       Date:  2020-01-22       Impact factor: 3.039

  3 in total

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