Literature DB >> 26364321

Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Mark S Shiroishi1, Jerrold L Boxerman1, Whitney B Pope1.   

Abstract

Aside from bidimensional measurements from conventional contrast-enhanced MRI, there are no validated or FDA-qualified imaging biomarkers for high-grade gliomas. However, advanced functional MRI techniques, including perfusion- and diffusion-weighted MRI, have demonstrated much potential for determining prognosis, predicting therapeutic response, and assessing early treatment response. They may also prove useful for differentiating pseudoprogression from true progression after temozolomide chemoradiation and pseudoresponse from true response after anti-angiogenic therapy. This review will highlight recent developments using these techniques and emphasize the need for technical standardization and validation in prospective studies in order for these methods to become incorporated into standard-of-care imaging for brain tumor patients.
© The Author(s) 2015. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  diffusion; high-grade glioma; imaging biomarker; perfusion; physiologic imaging

Mesh:

Year:  2015        PMID: 26364321      PMCID: PMC4799679          DOI: 10.1093/neuonc/nov179

Source DB:  PubMed          Journal:  Neuro Oncol        ISSN: 1522-8517            Impact factor:   12.300


  98 in total

1.  Differentiation of true progression from pseudoprogression in glioblastoma treated with radiation therapy and concomitant temozolomide: comparison study of standard and high-b-value diffusion-weighted imaging.

Authors:  Hee Ho Chu; Seung Hong Choi; Inseon Ryoo; Soo Chin Kim; Jeong A Yeom; Hwaseon Shin; Seung Chai Jung; A Leum Lee; Tae Jin Yoon; Tae Min Kim; Se-Hoon Lee; Chul-Kee Park; Ji-Hoon Kim; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

2.  Report of the Jumpstarting Brain Tumor Drug Development Coalition and FDA clinical trials neuroimaging endpoint workshop (January 30, 2014, Bethesda MD).

Authors:  Patrick Y Wen; Timothy F Cloughesy; Benjamin M Ellingson; David A Reardon; Howard A Fine; Lauren Abrey; Karla Ballman; Martin Bendszuz; Jan Buckner; Susan M Chang; Michael D Prados; Whitney B Pope; Alma Gregory Sorensen; Martin van den Bent; Wai-Kwan Alfred Yung
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

3.  Decrease in the apparent diffusion coefficient in peritumoral edema for the assessment of recurrent glioblastoma treated by bevacizumab.

Authors:  Shingo Takano; Hidehiro Kimu; Kyoji Tsuda; Satoru Osuka; Kei Nakai; Tetsuya Yamamoto; Eiichi Ishikawa; Hiroyoshi Akutsu; Masahide Matsuda; Akira Matsumura
Journal:  Acta Neurochir Suppl       Date:  2013

4.  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

5.  Longitudinal DSC-MRI for Distinguishing Tumor Recurrence From Pseudoprogression in Patients With a High-grade Glioma.

Authors:  Jerrold L Boxerman; Benjamin M Ellingson; Suriya Jeyapalan; Heinrich Elinzano; Robert J Harris; Jeffrey M Rogg; Whitney B Pope; Howard Safran
Journal:  Am J Clin Oncol       Date:  2017-06       Impact factor: 2.339

6.  Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma.

Authors:  Daniel A Hamstra; Thomas L Chenevert; Bradford A Moffat; Timothy D Johnson; Charles R Meyer; Suresh K Mukherji; Douglas J Quint; Stephen S Gebarski; Xiaoying Fan; Christina I Tsien; Theodore S Lawrence; Larry Junck; Alnawaz Rehemtulla; Brian D Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

7.  A randomized trial of bevacizumab for newly diagnosed glioblastoma.

Authors:  Mark R Gilbert; James J Dignam; Terri S Armstrong; Jeffrey S Wefel; Deborah T Blumenthal; Michael A Vogelbaum; Howard Colman; Arnab Chakravarti; Stephanie Pugh; Minhee Won; Robert Jeraj; Paul D Brown; Kurt A Jaeckle; David Schiff; Volker W Stieber; David G Brachman; Maria Werner-Wasik; Ivo W Tremont-Lukats; Erik P Sulman; Kenneth D Aldape; Walter J Curran; Minesh P Mehta
Journal:  N Engl J Med       Date:  2014-02-20       Impact factor: 91.245

Review 8.  Diffusion restriction in a non-enhancing metastatic brain tumor treated with bevacizumab - recurrent tumor or atypical necrosis?

Authors:  Lakshmanan Sivasundaram; Saman Hazany; Naveed Wagle; Gabriel Zada; Thomas C Chen; Alexander Lerner; John L Go; Francesco D'Amore; Meng Law; Mark S Shiroishi
Journal:  Clin Imaging       Date:  2014-05-06       Impact factor: 1.605

9.  True progression versus pseudoprogression in the treatment of glioblastomas: a comparison study of normalized cerebral blood volume and apparent diffusion coefficient by histogram analysis.

Authors:  Yong Sub Song; Seung Hong Choi; Chul-Kee Park; Kyung Sik Yi; Woong Jae Lee; Tae Jin Yun; Tae Min Kim; Se-Hoon Lee; Ji-Hoon Kim; Chul-Ho Sohn; Sung-Hye Park; Il Han Kim; Geon-Ho Jahng; Kee-Hyun Chang
Journal:  Korean J Radiol       Date:  2013-07-17       Impact factor: 3.500

10.  Hypervascular tumor volume estimated by comparison to a large-scale cerebral blood volume radiographic atlas predicts survival in recurrent glioblastoma treated with bevacizumab.

Authors:  Kevin Leu; Dieter R Enzmann; Davis C Woodworth; Robert J Harris; Anh N Tran; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  Cancer Imaging       Date:  2014-11-14       Impact factor: 3.909

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  31 in total

1.  Performance of Standardized Relative CBV for Quantifying Regional Histologic Tumor Burden in Recurrent High-Grade Glioma: Comparison against Normalized Relative CBV Using Image-Localized Stereotactic Biopsies.

Authors:  J M Hoxworth; J M Eschbacher; A C Gonzales; K W Singleton; G D Leon; K A Smith; A M Stokes; Y Zhou; G L Mazza; A B Porter; M M Mrugala; R S Zimmerman; B R Bendok; D P Patra; C Krishna; J L Boxerman; L C Baxter; K R Swanson; C C Quarles; K M Schmainda; L S Hu
Journal:  AJNR Am J Neuroradiol       Date:  2020-03-12       Impact factor: 3.825

2.  Reproducibility of dynamic contrast-enhanced MRI and dynamic susceptibility contrast MRI in the study of brain gliomas: a comparison of data obtained using different commercial software.

Authors:  Gian Marco Conte; Antonella Castellano; Luisa Altabella; Antonella Iadanza; Marcello Cadioli; Andrea Falini; Nicoletta Anzalone
Journal:  Radiol Med       Date:  2017-01-09       Impact factor: 3.469

Review 3.  Predicting Meningioma Consistency on Preoperative Neuroimaging Studies.

Authors:  Mark S Shiroishi; Steven Y Cen; Benita Tamrazi; Francesco D'Amore; Alexander Lerner; Kevin S King; Paul E Kim; Meng Law; Darryl H Hwang; Orest B Boyko; Chia-Shang J Liu
Journal:  Neurosurg Clin N Am       Date:  2016-02-18       Impact factor: 2.509

4.  Differentiation of residual/recurrent gliomas from postradiation necrosis with arterial spin labeling and diffusion tensor magnetic resonance imaging-derived metrics.

Authors:  Ahmed Abdel Khalek Abdel Razek; Lamiaa El-Serougy; Mohamed Abdelsalam; Gada Gaballa; Mona Talaat
Journal:  Neuroradiology       Date:  2017-12-07       Impact factor: 2.804

Review 5.  Current Clinical Brain Tumor Imaging.

Authors:  Javier E Villanueva-Meyer; Marc C Mabray; Soonmee Cha
Journal:  Neurosurgery       Date:  2017-09-01       Impact factor: 4.654

6.  Emerging role of miRNAs as liquid biopsy markers for prediction of glioblastoma multiforme prognosis.

Authors:  Menha Swellam; Noha M Bakr; Hekmat M El Magdoub; Marwa S Hamza; Lobna R Ezz El Arab
Journal:  J Mol Neurosci       Date:  2020-09-28       Impact factor: 3.444

7.  The preliminary radiogenomics association between MR perfusion imaging parameters and genomic biomarkers, and their predictive performance of overall survival in patients with glioblastoma.

Authors:  Xiang Liu; Rajiv Mangla; Wei Tian; Xing Qiu; Dongmei Li; Kevin A Walter; Sven Ekholm; Mahlon D Johnson
Journal:  J Neurooncol       Date:  2017-09-09       Impact factor: 4.130

Review 8.  Imaging of intratumoral heterogeneity in high-grade glioma.

Authors:  Leland S Hu; Andrea Hawkins-Daarud; Lujia Wang; Jing Li; Kristin R Swanson
Journal:  Cancer Lett       Date:  2020-02-27       Impact factor: 8.679

Review 9.  The Role of Advanced Brain Tumor Imaging in the Care of Patients with Central Nervous System Malignancies.

Authors:  K Ina Ly; Elizabeth R Gerstner
Journal:  Curr Treat Options Oncol       Date:  2018-06-21

10.  Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object.

Authors:  N B Semmineh; L C Bell; A M Stokes; L S Hu; J L Boxerman; C C Quarles
Journal:  AJNR Am J Neuroradiol       Date:  2018-10-11       Impact factor: 3.825

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