Literature DB >> 22100373

Advantages of high b-value diffusion-weighted imaging to diagnose pseudo-responses in patients with recurrent glioma after bevacizumab treatment.

Fumiyuki Yamasaki1, Kaoru Kurisu, Tomokazu Aoki, Masami Yamanaka, Yoshinori Kajiwara, Yosuke Watanabe, Takeshi Takayasu, Yuji Akiyama, Kazuhiko Sugiyama.   

Abstract

BACKGROUND: The diagnosis of pseudo-responses after bevacizumab treatment is difficult. Because diffusion-weighted imaging (DWI) is associated with cell density, it may facilitate the differentiation between true- and pseudo-responses. Furthermore, as high b-value DWI is even more sensitive to diffusion, it has been reported to be diagnostically useful in various clinical settings.
MATERIALS AND METHODS: Between September 2008 and May 2011, 10 patients (5 males, 5 females; age range 6-65 years) with recurrent glioma were treated with bevacizumab. All underwent pre- and post-treatment MRI including T2- or FLAIR imaging, post-gadolinium contrast T1-weighted imaging, and DWI with b-1000 and b-4000. Response rates were evaluated by MacDonald- and by response assessment in neuro-oncology working group (RANO) criteria. We also assessed the response rate by calculating the size of high intensity areas using high b-value diffusion-weighted criteria. Prognostic factors were evaluated using Kaplan-Meier survival curves (log-rank test).
RESULTS: It was easier to identify pseudo-responses with RANO- than MacDonald criteria, however the reduction of edema by bevacizumab rendered the early diagnosis of tumor progression difficult by RANO criteria. In some patients with recurrent glioma treated with bevacizumab, high b-value diffusion-weighted criteria did, while MacDonald- and RANO criteria did not identify pseudo-responses at an early point after the start of therapy. DISCUSSION AND
CONCLUSION: High b-value DWI reflects cell density more accurately than regular b-value DWI. Our findings suggest that in patients with recurrent glioma, high b-value diffusion-weighted criteria are useful for the differentiation between pseudo- and true responses to treatment with bevacizumab.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22100373     DOI: 10.1016/j.ejrad.2011.10.018

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  20 in total

1.  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

2.  Preoperative grading of supratentorial nonenhancing gliomas by high b-value diffusion-weighted 3 T magnetic resonance imaging.

Authors:  Haiwei Han; Chengkun Han; Xiurong Wu; Shan Zhong; Xiongjie Zhuang; Guowei Tan; Hua Wu
Journal:  J Neurooncol       Date:  2017-04-24       Impact factor: 4.130

3.  Apparent diffusion coefficient maps obtained from high b value diffusion-weighted imaging in the preoperative evaluation of gliomas at 3T: comparison with standard b value diffusion-weighted imaging.

Authors:  Qiang Zeng; Fei Dong; Feina Shi; Chenhan Ling; Biao Jiang; Jianmin Zhang
Journal:  Eur Radiol       Date:  2017-06-21       Impact factor: 5.315

4.  An overview of neuro-oncology research and practice in Iran, three years with the NOSC initiative.

Authors:  Peiman Haddad; Sohrab Shazadi; Farhad Samiei; Homayoun Hadizadeh Kharrazi; Morteza Tabatabaeefar; Afshin Rakhsha; Mohammad Faranoosh; Mohammad Torabi-Nami; Ali Dadras; Atieh Liaghi; Leila Nafarieh
Journal:  Int J Clin Exp Med       Date:  2015-03-15

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.  Neuroimaging findings of the post-treatment effects of radiation and chemotherapy of malignant primary glial neoplasms.

Authors:  M D Mamlouk; J Handwerker; J Ospina; A N Hasso
Journal:  Neuroradiol J       Date:  2013-08-27

Review 7.  An Update on the Approach to the Imaging of Brain Tumors.

Authors:  Katherine M Mullen; Raymond Y Huang
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

8.  Diffusion-weighted imaging and the apparent diffusion coefficient on 3T MR imaging in the differentiation of craniopharyngiomas and germ cell tumors.

Authors:  Yasuyuki Kinoshita; Fumiyuki Yamasaki; Atsushi Tominaga; Megu Ohtaki; Satoshi Usui; Kazunori Arita; Kazuhiko Sugiyama; Kaoru Kurisu
Journal:  Neurosurg Rev       Date:  2015-08-18       Impact factor: 3.042

Review 9.  Diffusion MRI in early cancer therapeutic response assessment.

Authors:  C J Galbán; B A Hoff; T L Chenevert; B D Ross
Journal:  NMR Biomed       Date:  2016-01-15       Impact factor: 4.044

Review 10.  Emerging MRI Techniques to Redefine Treatment Response in Patients With Glioblastoma.

Authors:  Fabrício Guimarães Gonçalves; Sanjeev Chawla; Suyash Mohan
Journal:  J Magn Reson Imaging       Date:  2020-03-19       Impact factor: 4.813

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.