Literature DB >> 23821555

Recurrent glioblastoma: volumetric assessment and stratification of patient survival with early posttreatment magnetic resonance imaging in patients treated with bevacizumab.

Raymond Y Huang1, Rifaquat Rahman, Alhafidz Hamdan, Caroline Kane, Christina Chen, Andrew D Norden, David A Reardon, Srinivasan Mukundun, Patrick Y Wen.   

Abstract

BACKGROUND: Despite a high radiographic response rate in patients with recurrent glioblastoma following bevacizumab therapy, survival benefit has been relatively modest. We assess whether tumor volume measurements based on baseline and early posttreatment MRI can stratify patients in terms of progression-free survival (PFS) and overall survival (OS).
METHODS: Baseline (-4 +/- 4 days) and posttreatment (30 +/- 6 days) MRI exams of 91 patients with recurrent glioblastoma treated with bevacizumab were retrospectively evaluated for volume of enhancing tumor as well as volume of the T2/FLAIR hyperintensity. Overall survival (OS) and progression-free survival (PFS) were assessed using volume parameters in a Cox regression model adjusted for significant clinical parameters.
RESULTS: In univariable analysis, residual tumor volume, percentage change in tumor volume, steroid change from baseline to posttreatment scan, and number of recurrences were associated with both OS and PFS. With dichotomization by sample median of 52% change of enhancing volume can stratify OS (52 weeks vs. 31 weeks, P = .013) and PFS (21 weeks vs. 12 weeks, P = .009). Residual enhancing volume, dichotomized by sample median of 7.8 cm(3) , can also stratify for OS (64 weeks vs. 28 weeks, P < .001) and PFS (21 weeks vs. 12 weeks, P = .036).
CONCLUSIONS: Volumetric percentage change and absolute early posttreatment volume of enhancing tumor can stratify survival for patients with recurrent glioblastoma receiving bevacizumab therapy.
Copyright © 2013 American Cancer Society.

Entities:  

Keywords:  bevacizumab; glioblastoma; magnetic resonance imaging; survival; volumetric analysis

Mesh:

Substances:

Year:  2013        PMID: 23821555     DOI: 10.1002/cncr.28210

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  20 in total

1.  Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas.

Authors:  D Daniels; D Guez; D Last; C Hoffmann; D Nass; A Talianski; G Tsarfaty; S Salomon; A A Kanner; D T Blumenthal; F Bokstein; S Harnof; D Yekutieli; S Zamir; Z R Cohen; L Zach; Y Mardor
Journal:  AJNR Am J Neuroradiol       Date:  2016-07-07       Impact factor: 3.825

2.  Emerging techniques and technologies in brain tumor imaging.

Authors:  Benjamin M Ellingson; Martin Bendszus; A Gregory Sorensen; Whitney B Pope
Journal:  Neuro Oncol       Date:  2014-10       Impact factor: 12.300

Review 3.  Steroids use and survival in patients with glioblastoma multiforme: a pooled analysis.

Authors:  Fausto Petrelli; Agostina De Stefani; Antonio Ghidini; Lorenza Bruschieri; Valentina Riboldi; Lorenzo Dottorini; Alessandro Iaculli; Alberto Zaniboni; Francesca Trevisan
Journal:  J Neurol       Date:  2020-01-30       Impact factor: 4.849

4.  Baseline pretreatment contrast enhancing tumor volume including central necrosis is a prognostic factor in recurrent glioblastoma: evidence from single and multicenter trials.

Authors:  Benjamin M Ellingson; Robert J Harris; Davis C Woodworth; Kevin Leu; Okkar Zaw; Warren P Mason; Solmaz Sahebjam; Lauren E Abrey; Dana T Aftab; Gisela M Schwab; Colin Hessel; Albert Lai; Phioanh L Nghiemphu; Whitney B Pope; Patrick Y Wen; Timothy F Cloughesy
Journal:  Neuro Oncol       Date:  2016-08-31       Impact factor: 12.300

Review 5.  Standardized MRI assessment of high-grade glioma response: a review of the essential elements and pitfalls of the RANO criteria.

Authors:  Dewen Yang
Journal:  Neurooncol Pract       Date:  2015-07-12

6.  Small increases in enhancement on MRI may predict survival post radiotherapy in patients with glioblastoma.

Authors:  Cecelia Elizabeth Gzell; Helen R Wheeler; Philip McCloud; Marina Kastelan; Michael Back
Journal:  J Neurooncol       Date:  2016-02-15       Impact factor: 4.130

Review 7.  Evidence and context of use for contrast enhancement as a surrogate of disease burden and treatment response in malignant glioma.

Authors:  Benjamin M Ellingson; Patrick Y Wen; Timothy F Cloughesy
Journal:  Neuro Oncol       Date:  2018-03-27       Impact factor: 12.300

Review 8.  Current standards and new concepts in MRI and PET response assessment of antiangiogenic therapies in high-grade glioma patients.

Authors:  Markus Hutterer; Elke Hattingen; Christoph Palm; Martin Andreas Proescholdt; Peter Hau
Journal:  Neuro Oncol       Date:  2014-12-27       Impact factor: 12.300

9.  Histogram analysis of apparent diffusion coefficient within enhancing and nonenhancing tumor volumes in recurrent glioblastoma patients treated with bevacizumab.

Authors:  Rifaquat Rahman; Alhafidz Hamdan; Rebecca Zweifler; Han Jiang; Andrew D Norden; David A Reardon; Srinivasan Mukundan; Patrick Y Wen; Raymond Y Huang
Journal:  J Neurooncol       Date:  2014-05-08       Impact factor: 4.130

10.  Early biomarkers from dynamic contrast-enhanced magnetic resonance imaging to predict the response to antiangiogenic therapy in high-grade gliomas.

Authors:  Francesca Piludu; Simona Marzi; Andrea Pace; Veronica Villani; Alessandra Fabi; Carmine Maria Carapella; Irene Terrenato; Anna Antenucci; Antonello Vidiri
Journal:  Neuroradiology       Date:  2015-09-12       Impact factor: 2.804

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