Literature DB >> 24805151

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

Rifaquat Rahman1, Alhafidz Hamdan, Rebecca Zweifler, Han Jiang, Andrew D Norden, David A Reardon, Srinivasan Mukundan, Patrick Y Wen, Raymond Y Huang.   

Abstract

While patients with recurrent glioblastoma receiving anti-angiogenic therapy demonstrate significant response rates, the benefit on patient survival is less clear. We assessed whether histogram analysis of diffusion weighted MRI can stratify for progression-free and overall survival. Baseline and 3-6 week post-treatment MRI exams of 91 patients with recurrent glioblastoma treated with bevacizumab were retrospectively evaluated. Histograms of apparent diffusion coefficient (ADC) within the volume of contrast enhancing and nonenhancing T2/FLAIR lesions were analyzed using curve-fit analysis. Overall survival (OS) and progression-free survival (PFS) were assessed using ADC parameters in a Cox proportional hazards model adjusted for clinical variables. Baseline ADC(L)/ADC(M) within nonenhancing T2/FLAIR volume (> or ≤0.64) can stratify OS (HR = 2.24, p = 0.002) and PFS (HR = 1.90, p = 0.005). %ADC(H) within enhancing T1+C volume (> or ≤25 %) can also stratify OS (HR = 0.59, p = 0.034) and PFS (HR = 0.56, p = 0.01). Stratification of patient survival can be improved by merging these two ADC parameters into a single combined ADC factor (HR = 0.17, p < 0.0001). The median OS ratio of patient groups stratified by this combined factor was 2.03, larger than median OS ratio when stratifying by either %ADC(H) within T1+C volume alone (1.3) or ADC(L)/ADC(M) within T2/FLAIR alone (1.86). ADC histogram analysis within both enhancing and nonenhancing components of tumor can be used to stratify for PFS and OS in patients with recurrent glioblastoma.

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Year:  2014        PMID: 24805151     DOI: 10.1007/s11060-014-1464-8

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  21 in total

1.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

2.  Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.

Authors:  Whitney B Pope; Hyun J Kim; Jing Huo; Jeffry Alger; Matthew S Brown; David Gjertson; Victor Sai; Jonathan R Young; Leena Tekchandani; Timothy Cloughesy; Paul S Mischel; Albert Lai; Phioanh Nghiemphu; Syed Rahmanuddin; Jonathan Goldin
Journal:  Radiology       Date:  2009-07       Impact factor: 11.105

3.  Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.

Authors:  Yusuhn Kang; Seung Hong Choi; Young-Jae Kim; Kwang Gi Kim; Chul-Ho Sohn; Ji-Hoon Kim; Tae Jin Yun; Kee-Hyun Chang
Journal:  Radiology       Date:  2011-10-03       Impact factor: 11.105

4.  Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema.

Authors:  Ken-ichi Morita; Hitoshi Matsuzawa; Yukihiko Fujii; Ryuichi Tanaka; Ingrid L Kwee; Tsutomu Nakada
Journal:  J Neurosurg       Date:  2005-02       Impact factor: 5.115

5.  Graded functional diffusion map-defined characteristics of apparent diffusion coefficients predict overall survival in recurrent glioblastoma treated with bevacizumab.

Authors:  Benjamin M Ellingson; Timothy F Cloughesy; Albert Lai; Paul S Mischel; Phioanh L Nghiemphu; Shadi Lalezari; Kathleen M Schmainda; Whitney B Pope
Journal:  Neuro Oncol       Date:  2011-08-19       Impact factor: 12.300

6.  Apparent diffusion coefficient histogram analysis stratifies progression-free survival in newly diagnosed bevacizumab-treated glioblastoma.

Authors:  W B Pope; A Lai; R Mehta; H J Kim; J Qiao; J R Young; X Xue; J Goldin; M S Brown; P L Nghiemphu; A Tran; T F Cloughesy
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-17       Impact factor: 3.825

7.  Imaging response criteria for recurrent gliomas treated with bevacizumab: role of diffusion weighted imaging as an imaging biomarker.

Authors:  Rajan Jain; Lisa M Scarpace; Shehanaz Ellika; Roy Torcuator; Lonni R Schultz; David Hearshen; Tom Mikkelsen
Journal:  J Neurooncol       Date:  2009-10-27       Impact factor: 4.130

8.  Phase II trial of single-agent bevacizumab followed by bevacizumab plus irinotecan at tumor progression in recurrent glioblastoma.

Authors:  Teri N Kreisl; Lyndon Kim; Kraig Moore; Paul Duic; Cheryl Royce; Irene Stroud; Nancy Garren; Megan Mackey; John A Butman; Kevin Camphausen; John Park; Paul S Albert; Howard A Fine
Journal:  J Clin Oncol       Date:  2008-12-29       Impact factor: 44.544

9.  Bevacizumab for recurrent malignant gliomas: efficacy, toxicity, and patterns of recurrence.

Authors:  A D Norden; G S Young; K Setayesh; A Muzikansky; R Klufas; G L Ross; A S Ciampa; L G Ebbeling; B Levy; J Drappatz; S Kesari; P Y Wen
Journal:  Neurology       Date:  2008-03-04       Impact factor: 9.910

10.  Relationship of pre-surgery metabolic and physiological MR imaging parameters to survival for patients with untreated GBM.

Authors:  Forrest W Crawford; Inas S Khayal; Colleen McGue; Suja Saraswathy; Andrea Pirzkall; Soonmee Cha; Kathleen R Lamborn; Susan M Chang; Mitchel S Berger; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-11-15       Impact factor: 4.130

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  23 in total

Review 1.  Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma.

Authors:  Mark S Shiroishi; Jerrold L Boxerman; Whitney B Pope
Journal:  Neuro Oncol       Date:  2015-09-12       Impact factor: 12.300

2.  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

3.  Progressing Bevacizumab-Induced Diffusion Restriction Is Associated with Coagulative Necrosis Surrounded by Viable Tumor and Decreased Overall Survival in Patients with Recurrent Glioblastoma.

Authors:  H S Nguyen; N Milbach; S L Hurrell; E Cochran; J Connelly; J A Bovi; C J Schultz; W M Mueller; S D Rand; K M Schmainda; P S LaViolette
Journal:  AJNR Am J Neuroradiol       Date:  2016-08-04       Impact factor: 3.825

Review 4.  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

5.  Apparent diffusion coefficient and tumor volume measurements help stratify progression-free survival of bevacizumab-treated patients with recurrent glioblastoma multiforme.

Authors:  Francesco Buemi; Giuseppe Guzzardi; Bruno Del Sette; Andrea P Sponghini; Roberta Matheoud; Eleonora Soligo; Alessandra Trisoglio; Alessandro Carriero; Alessandro Stecco
Journal:  Neuroradiol J       Date:  2019-05-08

6.  Mean apparent diffusion coefficient values in defining radiotherapy planning target volumes in glioblastoma.

Authors:  Daniel Jeong; Christian Malalis; John A Arrington; Aaron S Field; Jung W Choi; Mehmet Kocak
Journal:  Quant Imaging Med Surg       Date:  2015-12

7.  Predicting Glioblastoma Response to Bevacizumab Through MRI Biomarkers of the Tumor Microenvironment.

Authors:  Andreas Stadlbauer; Karl Roessler; Max Zimmermann; Michael Buchfelder; Andrea Kleindienst; Arnd Doerfler; Gertraud Heinz; Stefan Oberndorfer
Journal:  Mol Imaging Biol       Date:  2019-08       Impact factor: 3.488

8.  Quantitative imaging biomarkers for risk stratification of patients with recurrent glioblastoma treated with bevacizumab.

Authors:  Patrick Grossmann; Vivek Narayan; Ken Chang; Rifaquat Rahman; Lauren Abrey; David A Reardon; Lawrence H Schwartz; Patrick Y Wen; Brian M Alexander; Raymond Huang; Hugo J W L Aerts
Journal:  Neuro Oncol       Date:  2017-11-29       Impact factor: 12.300

9.  Combined 18F-FET PET and diffusion kurtosis MRI in posttreatment glioblastoma: differentiation of true progression from treatment-related changes.

Authors:  Francesco D'Amore; Farida Grinberg; Jörg Mauler; Norbert Galldiks; Ganna Blazhenets; Ezequiel Farrher; Christian Filss; Gabriele Stoffels; Felix M Mottaghy; Philipp Lohmann; Nadim Jon Shah; Karl-Josef Langen
Journal:  Neurooncol Adv       Date:  2021-03-10

10.  Survival prediction based on qualitative MRI diffusion signature in patients with recurrent high grade glioma treated with bevacizumab.

Authors:  Pradeep Goyal; Mary Tenenbaum; Sonali Gupta; Puneet S Kochar; Alok A Bhatt; Manisha Mangla; Yogesh Kumar; Rajiv Mangla
Journal:  Quant Imaging Med Surg       Date:  2018-04
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