Literature DB >> 29622553

Edge Contrast of the FLAIR Hyperintense Region Predicts Survival in Patients with High-Grade Gliomas following Treatment with Bevacizumab.

N Bahrami1,2,3,4, D Piccioni5, R Karunamuni6, Y-H Chang2, N White7,3,4, R Delfanti3, T M Seibert6, J A Hattangadi-Gluth6, A Dale4,5, N Farid3,5, C R McDonald7,2,3,4.   

Abstract

BACKGROUND AND
PURPOSE: Treatment with bevacizumab is standard of care for recurrent high-grade gliomas; however, monitoring response to treatment following bevacizumab remains a challenge. The purpose of this study was to determine whether quantifying the sharpness of the fluid-attenuated inversion recovery hyperintense border using a measure derived from texture analysis-edge contrast-improves the evaluation of response to bevacizumab in patients with high-grade gliomas.
MATERIALS AND METHODS: MRIs were evaluated in 33 patients with high-grade gliomas before and after the initiation of bevacizumab. Volumes of interest within the FLAIR hyperintense region were segmented. Edge contrast magnitude for each VOI was extracted using gradients of the 3D FLAIR images. Cox proportional hazards models were generated to determine the relationship between edge contrast and progression-free survival/overall survival using age and the extent of surgical resection as covariates.
RESULTS: After bevacizumab, lower edge contrast of the FLAIR hyperintense region was associated with poorer progression-free survival (P = .009) and overall survival (P = .022) among patients with high-grade gliomas. Kaplan-Meier curves revealed that edge contrast cutoff significantly stratified patients for both progression-free survival (log-rank χ2 = 8.3, P = .003) and overall survival (log-rank χ2 = 5.5, P = .019).
CONCLUSIONS: Texture analysis using edge contrast of the FLAIR hyperintense region may be an important predictive indicator in patients with high-grade gliomas following treatment with bevacizumab. Specifically, low FLAIR edge contrast may partially reflect areas of early tumor infiltration. This study adds to a growing body of literature proposing that quantifying features may be important for determining outcomes in patients with high-grade gliomas.
© 2018 by American Journal of Neuroradiology.

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Year:  2018        PMID: 29622553      PMCID: PMC6002890          DOI: 10.3174/ajnr.A5620

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  33 in total

1.  Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group.

Authors:  Patrick Y Wen; David R Macdonald; David A Reardon; Timothy F Cloughesy; A Gregory Sorensen; Evanthia Galanis; John Degroot; Wolfgang Wick; Mark R Gilbert; Andrew B Lassman; Christina Tsien; Tom Mikkelsen; Eric T Wong; Marc C Chamberlain; Roger Stupp; Kathleen R Lamborn; Michael A Vogelbaum; Martin J van den Bent; Susan M Chang
Journal:  J Clin Oncol       Date:  2010-03-15       Impact factor: 44.544

2.  Exacerbation of cerebral radiation necrosis by bevacizumab.

Authors:  Deva Sanjeeva Jeyaretna; William T Curry; Tracy T Batchelor; Anat Stemmer-Rachamimov; Scott R Plotkin
Journal:  J Clin Oncol       Date:  2010-12-13       Impact factor: 44.544

3.  Reliability in multi-site structural MRI studies: effects of gradient non-linearity correction on phantom and human data.

Authors:  Jorge Jovicich; Silvester Czanner; Douglas Greve; Elizabeth Haley; Andre van der Kouwe; Randy Gollub; David Kennedy; Franz Schmitt; Gregory Brown; James Macfall; Bruce Fischl; Anders Dale
Journal:  Neuroimage       Date:  2005-11-21       Impact factor: 6.556

4.  Quantitative T2 mapping of recurrent glioblastoma under bevacizumab improves monitoring for non-enhancing tumor progression and predicts overall survival.

Authors:  Elke Hattingen; Alina Jurcoane; Keivan Daneshvar; Ulrich Pilatus; Michel Mittelbronn; Joachim P Steinbach; Oliver Bähr
Journal:  Neuro Oncol       Date:  2013-08-07       Impact factor: 12.300

5.  Progression types after antiangiogenic therapy are related to outcome in recurrent glioblastoma.

Authors:  Martha Nowosielski; Benedikt Wiestler; Georg Goebel; Markus Hutterer; Heinz P Schlemmer; Günther Stockhammer; Wolfgang Wick; Martin Bendszus; Alexander Radbruch
Journal:  Neurology       Date:  2014-04-11       Impact factor: 9.910

6.  Laser thermal therapy: real-time MRI-guided and computer-controlled procedures for metastatic brain tumors.

Authors:  Alexandre Carpentier; Roger J McNichols; R Jason Stafford; Jean-Pierre Guichard; Daniel Reizine; Suzette Delaloge; Eric Vicaut; Didier Payen; Ashok Gowda; Bernard George
Journal:  Lasers Surg Med       Date:  2011-11-22       Impact factor: 4.025

7.  Imaging correlates for the 2016 update on WHO classification of grade II/III gliomas: implications for IDH, 1p/19q and ATRX status.

Authors:  Rachel L Delfanti; David E Piccioni; Jason Handwerker; Naeim Bahrami; AnithaPriya Krishnan; Roshan Karunamuni; Jona A Hattangadi-Gluth; Tyler M Seibert; Ashwin Srikant; Karra A Jones; Vivian S Snyder; Anders M Dale; Nathan S White; Carrie R McDonald; Nikdokht Farid
Journal:  J Neurooncol       Date:  2017-09-04       Impact factor: 4.130

8.  Relationship between radiological characteristics and combined 1p and 19q deletion in World Health Organization grade III oligodendroglial tumours.

Authors:  J W Kim; C-K Park; S-H Park; Y H Kim; J H Han; C-Y Kim; C-H Sohn; K-H Chang; H-W Jung
Journal:  J Neurol Neurosurg Psychiatry       Date:  2010-06-28       Impact factor: 10.154

9.  Quantitative volumetric analysis of conventional MRI response in recurrent glioblastoma treated with bevacizumab.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Albert Lai; Phioanh L Nghiemphu; Paul S Mischel; Whitney B Pope
Journal:  Neuro Oncol       Date:  2011-02-15       Impact factor: 12.300

10.  Role of a second chemotherapy in recurrent malignant glioma patients who progress on bevacizumab.

Authors:  Eudocia C Quant; Andrew D Norden; Jan Drappatz; Alona Muzikansky; Lisa Doherty; Debra Lafrankie; Abigail Ciampa; Santosh Kesari; Patrick Y Wen
Journal:  Neuro Oncol       Date:  2009-03-30       Impact factor: 12.300

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  5 in total

Review 1.  Diagnostic Performance of PET and Perfusion-Weighted Imaging in Differentiating Tumor Recurrence or Progression from Radiation Necrosis in Posttreatment Gliomas: A Review of Literature.

Authors:  N Soni; M Ora; N Mohindra; Y Menda; G Bathla
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-27       Impact factor: 3.825

2.  Molecular classification of patients with grade II/III glioma using quantitative MRI characteristics.

Authors:  Naeim Bahrami; Stephen J Hartman; Yu-Hsuan Chang; Rachel Delfanti; Nathan S White; Roshan Karunamuni; Tyler M Seibert; Anders M Dale; Jona A Hattangadi-Gluth; David Piccioni; Nikdokht Farid; Carrie R McDonald
Journal:  J Neurooncol       Date:  2018-06-02       Impact factor: 4.130

3.  Radiological Recurrence Patterns after Bevacizumab Treatment of Recurrent High-Grade Glioma: A Systematic Review and Meta-Analysis.

Authors:  Se Jin Cho; Ho Sung Kim; Chong Hyun Suh; Ji Eun Park
Journal:  Korean J Radiol       Date:  2020-07       Impact factor: 3.500

4.  High-order radiomics features based on T2 FLAIR MRI predict multiple glioma immunohistochemical features: A more precise and personalized gliomas management.

Authors:  Jing Li; Siyun Liu; Ying Qin; Yan Zhang; Ning Wang; Huaijun Liu
Journal:  PLoS One       Date:  2020-01-22       Impact factor: 3.240

Review 5.  Radiomics and radiogenomics in gliomas: a contemporary update.

Authors:  Prateek Prasanna; Vadim Spektor; Gagandeep Singh; Sunil Manjila; Nicole Sakla; Alan True; Amr H Wardeh; Niha Beig; Anatoliy Vaysberg; John Matthews
Journal:  Br J Cancer       Date:  2021-05-06       Impact factor: 7.640

  5 in total

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