Literature DB >> 23354833

Predictive significance of mean apparent diffusion coefficient value for responsiveness of temozolomide-refractory malignant glioma to bevacizumab: preliminary report.

Motoo Nagane1, Keiichi Kobayashi, Masaki Tanaka, Kazuhiro Tsuchiya, Yukiko Shishido-Hara, Saki Shimizu, Yoshiaki Shiokawa.   

Abstract

BACKGROUND: Recurrent glioblastoma after initial radiotherapy plus concomitant and adjuvant temozolomide is problematic. Here, patients with temozolomide-refractory high-grade gliomas were treated with bevacizumab (BV) and evaluated using apparent diffusion coefficient (ADC) for response.
METHODS: Nine post-temozolomide recurrent or progressive high-grade glioma patients (seven with glioblastoma and two with anaplastic astrocytoma) were treated with BV monotherapy. Average age was 57 years (range, 22-78), median Karnofsky Performance Scale (KPS) was 70 (30-80) and median BV line number was 2 (2-5). Two had additional stereotactic radiotherapy within 6 months prior to BV. Magnetic resonance (MR) imaging after BV therapy was performed within 2 weeks with calculation of mean ADC (mADC) values of enhancing tumor contours.
RESULTS: Post-BV treatment MR imaging showed decreased tumor volumes in eight of nine cases (88.9 %). Partial response was obtained in four cases (44.4 %), four cases had stable disease, and one had progressive disease. Of 15 evaluable enhancing lesions, 11 shrank and four did not. Pretreatment mADC values were above 1100 (10(-6) mm(2)/s) in all responding tumors, while all non-responding lesions scored below 1100 (p = 0.001). mADC decreased after the first BV treatment in all lesions except one. KPS improved in four cases (44.4 %). Median progression-free survival and overall survival for those having all lesions with high mADC (>1100) were significantly longer than those with a low mADC (<1100) lesion (p = 0.018 and 0.046, respectively).
CONCLUSIONS: Bevacizumab monotherapy is effective in patients with temozolomide-refractory recurrent gliomas and tumor mean ADC value can be a useful marker for prediction of BV response and survival.

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Year:  2013        PMID: 23354833     DOI: 10.1007/s10147-013-0517-x

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  27 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

Review 3.  Emerging clinical principles on the use of bevacizumab for the treatment of malignant gliomas.

Authors:  Marc C Chamberlain
Journal:  Cancer       Date:  2010-09-01       Impact factor: 6.860

4.  Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging.

Authors:  Ryuji Murakami; Takeshi Sugahara; Hideo Nakamura; Toshinori Hirai; Mika Kitajima; Yoshiko Hayashida; Yuji Baba; Natsuo Oya; Jun-Ichi Kuratsu; Yasuyuki Yamashita
Journal:  Radiology       Date:  2007-03-13       Impact factor: 11.105

5.  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

Review 6.  Pseudoprogression and pseudoresponse in the treatment of gliomas.

Authors:  Dieta Brandsma; Martin J van den Bent
Journal:  Curr Opin Neurol       Date:  2009-12       Impact factor: 5.710

7.  Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume.

Authors:  Joonmi Oh; Roland G Henry; Andrea Pirzkall; Ying Lu; Xiaojuan Li; Isabelle Catalaa; Susan Chang; William P Dillon; Sarah J Nelson
Journal:  J Magn Reson Imaging       Date:  2004-05       Impact factor: 4.813

8.  Prolonged and severe thrombocytopenia with pancytopenia induced by radiation-combined temozolomide therapy in a patient with newly diagnosed glioblastoma--analysis of O6-methylguanine-DNA methyltransferase status.

Authors:  Motoo Nagane; Kyoko Nozue; Saki Shimizu; Andreas Waha; Hiroshi Miyazaki; Hiroki Kurita; Masashi Homori; Yasunori Fujioka; Yoshiaki Shiokawa
Journal:  J Neurooncol       Date:  2008-11-27       Impact factor: 4.130

9.  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

Review 10.  Advances in MRI assessment of gliomas and response to anti-VEGF therapy.

Authors:  Whitney B Pope; Jonathan R Young; Benjamin M Ellingson
Journal:  Curr Neurol Neurosci Rep       Date:  2011-06       Impact factor: 5.081

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  6 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.  Advanced MRI assessment to predict benefit of anti-programmed cell death 1 protein immunotherapy response in patients with recurrent glioblastoma.

Authors:  Lei Qin; Xiang Li; Amanda Stroiney; Jinrong Qu; Jeffrey Helgager; David A Reardon; Geoffrey S Young
Journal:  Neuroradiology       Date:  2017-01-09       Impact factor: 2.804

3.  The predictive capacity of apparent diffusion coefficient (ADC) in response assessment of brain metastases following radiation.

Authors:  Raphael Jakubovic; Stephanie Zhou; Chris Heyn; Hany Soliman; Liyang Zhang; Richard Aviv; Arjun Sahgal
Journal:  Clin Exp Metastasis       Date:  2016-01-19       Impact factor: 5.150

4.  Chronic arterial hypertension impedes glioma growth: a multiparametric MRI study in the rat.

Authors:  Annelise Letourneur; Simon Roussel; Myriam Bernaudin; Fabien Fillesoye; Jérôme Toutain; Eric T MacKenzie; Edwige Petit; Omar Touzani; Samuel Valable
Journal:  Hypertens Res       Date:  2015-06-18       Impact factor: 3.872

5.  The basics of diffusion and perfusion imaging in brain tumors.

Authors:  Panagiotis Korfiatis; Bradley Erickson
Journal:  Appl Radiol       Date:  2014-07-04

6.  Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change.

Authors:  Thomas L Chenevert; Dariya I Malyarenko; Craig J Galbán; Diana M Gomez-Hassan; Pia C Sundgren; Christina I Tsien; Brian D Ross
Journal:  Tomography       Date:  2019-03
  6 in total

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