Literature DB >> 32154775

Identification of Early Response to Anti-Angiogenic Therapy in Recurrent Glioblastoma: Amide Proton Transfer-weighted and Perfusion-weighted MRI compared with Diffusion-weighted MRI.

Ji Eun Park1, Ho Sung Kim1, Seo Young Park1, Seung Chai Jung1, Jeong Hoon Kim1, Hye-Young Heo1.   

Abstract

Background Amide proton transfer (APT) MRI has the potential to demonstrate antitumor effects by reflecting biologically active tumor portion, providing different information from diffusion-weighted imaging (DWI) or dynamic susceptibility contrast (DSC) imaging. Purpose To evaluate whether a change in APT signal intensity after antiangiogenic treatment is predictive of early treatment response in recurrent glioblastoma. Materials and Methods In this retrospective study, APT MRI, DWI, and DSC imaging were performed in patients with recurrent glioblastoma from July 2015 to April 2019, both before treatment and 4-6 weeks after initiation of bevacizumab (follow-up). Progression was based on pathologic confirmation or clinical-radiologic assessment, and progression patterns were defined as local enhancing or diffuse nonenhancing. Changes in mean and histogram parameters (fifth and 95th percentiles) of APT signal intensity, apparent diffusion coefficient, and normalized cerebral blood volume (CBV) between imaging time points were calculated. Predictors of 12-month progression and progression-free survival (PFS) were determined by using logistic regression and Cox proportional hazard modeling and according to progression type. Results A total of 54 patients were included (median age, 56 years [interquartile range, 49-64 years]; 24 men). Mean APT signal intensity change after bevacizumab treatment indicated a low 12-month progression rate (odds ratio [OR], 0.36; 95% confidence interval [CI]: 0.13, 0.90; P = .04) and longer PFS (hazard ratio: 0.38; 95% CI: 0.20, 0.74; P = .004). High mean normalized CBV at follow-up was associated with a high 12-month progression rate (OR, 20; 95% CI: 2.7, 32; P = .04) and shorter PFS (hazard ratio, 9.4; 95% CI: 2.3, 38; P = .002). Mean APT signal intensity change was a significant predictor of diffuse nonenhancing progression (OR, 0.27; 95% CI: 0.06, 0.85; P = .047), whereas follow-up 95th percentile of the normalized CBV was a predictor of local enhancing progression (OR, 7.1; 95% CI: 2.4, 15; P = .04). Conclusion Early reduction in mean amide proton transfer signal intensity at 4-6 weeks after initiation of antiangiogenic treatment was predictive of a better response at 12 months and longer progression-free survival in patients with recurrent glioblastoma, especially in those with diffuse nonenhancing progression. © RSNA, 2020 Online supplemental material is available for this article.

Entities:  

Year:  2020        PMID: 32154775     DOI: 10.1148/radiol.2020191376

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  16 in total

1.  Dynamic contrast-enhanced MRI may be helpful to predict response and prognosis after bevacizumab treatment in patients with recurrent high-grade glioma: comparison with diffusion tensor and dynamic susceptibility contrast imaging.

Authors:  Yae Won Park; Sung Soo Ahn; Ju Hyung Moon; Eui Hyun Kim; Seok-Gu Kang; Jong Hee Chang; Se Hoon Kim; Seung-Koo Lee
Journal:  Neuroradiology       Date:  2021-03-23       Impact factor: 2.804

2.  3D Amide Proton Transfer-Weighted Imaging for Grading Glioma and Correlating IDH Mutation Status: Added Value to 3D Pseudocontinuous Arterial Spin Labelling Perfusion.

Authors:  Huimin Hou; Weibo Chen; Yanzhao Diao; Yuhan Wang; Li Zhang; Liming Wang; Min Xu; Jinchao Yu; Tao Song; Yu Liu; Zhenguo Yuan
Journal:  Mol Imaging Biol       Date:  2022-08-12       Impact factor: 3.484

Review 3.  Current emerging MRI tools for radionecrosis and pseudoprogression diagnosis.

Authors:  Lucia Nichelli; Stefano Casagranda
Journal:  Curr Opin Oncol       Date:  2021-11-01       Impact factor: 3.915

4.  3D Amide Proton Transfer Weighted Brain Tumor Imaging With Compressed SENSE: Effects of Different Acceleration Factors.

Authors:  Nan Zhang; Haonan Zhang; Bingbing Gao; Yanwei Miao; Ailian Liu; Qingwei Song; Liangjie Lin; Jiazheng Wang
Journal:  Front Neurosci       Date:  2022-05-26       Impact factor: 5.152

5.  Pretreatment ADC Histogram Analysis as a Prognostic Imaging Biomarker for Patients with Recurrent Glioblastoma Treated with Bevacizumab: A Systematic Review and Meta-analysis.

Authors:  R Kurokawa; A Baba; M Kurokawa; A Capizzano; O Hassan; T Johnson; Y Ota; J Kim; A Hagiwara; T Moritani; A Srinivasan
Journal:  AJNR Am J Neuroradiol       Date:  2022-01-20       Impact factor: 3.825

6.  Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs.

Authors:  Pengfei Guo; Puyang Wang; Rajeev Yasarla; Jinyuan Zhou; Vishal M Patel; Shanshan Jiang
Journal:  IEEE Trans Med Imaging       Date:  2021-09-30       Impact factor: 11.037

Review 7.  Molecular Imaging of Brain Tumors and Drug Delivery Using CEST MRI: Promises and Challenges.

Authors:  Jianpan Huang; Zilin Chen; Se-Weon Park; Joseph H C Lai; Kannie W Y Chan
Journal:  Pharmaceutics       Date:  2022-02-20       Impact factor: 6.321

8.  The Value of APTw CEST MRI in Routine Clinical Assessment of Human Brain Tumor Patients at 3T.

Authors:  Julia P Lingl; Arthur Wunderlich; Steffen Goerke; Daniel Paech; Mark E Ladd; Patrick Liebig; Andrej Pala; Soung Yung Kim; Michael Braun; Bernd L Schmitz; Meinrad Beer; Johannes Rosskopf
Journal:  Diagnostics (Basel)       Date:  2022-02-14

9.  Evaluation of Temozolomide Treatment for Glioblastoma Using Amide Proton Transfer Imaging and Diffusion MRI.

Authors:  Ryutarou Onishi; Reika Sawaya; Keiho Tsuji; Narumi Arihara; Akiko Ohki; Junpei Ueda; Junichi Hata; Shigeyoshi Saito
Journal:  Cancers (Basel)       Date:  2022-04-10       Impact factor: 6.639

10.  Differentiating between non-functioning pituitary macroadenomas and sellar meningiomas using ADC.

Authors:  Jing Zhang; Zhiyong Zhao; Li Dong; Tao Han; Guojin Zhang; Yuntai Cao; Junlin Zhou
Journal:  Endocr Connect       Date:  2020-12       Impact factor: 3.335

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