Literature DB >> 32448612

Advanced multimodal imaging in differentiating glioma recurrence from post-radiotherapy changes.

Cong Li1, Yanling Gan1, Huijing Chen1, Yun Chen1, Yuer Deng1, Wengang Zhan1, Qijia Tan1, Caijun Xie1, Hari Shanker Sharma2, Zhiqiang Zhang3.   

Abstract

Gliomas are the most common malignant primary brain tumor, and their prognosis is extremely poor. Radiotherapy is an important treatment for glioma patients, but the changes caused by radiotherapy have brought difficulties in clinical image evaluation because differentiating glioma recurrence from post-radiotherapy changes including pseudo-progression (PD) and radiation necrosis (RN) remains a challenge. Therefore, accurate and reliable imaging evaluation is very important for making clinical decisions. In recent years, advanced multimodal imaging techniques have been applied to achieve the goal of better differentiating glioma recurrence from post-radiotherapy changes for minimizing errors associated with interpretation of treatment effects. In this review, we discuss the recent applications of advanced multimodal imaging such as diffusion MRI sequences, amide proton transfer MRI sequences, perfusion MRI sequences, MR spectroscopy and multinuclides PET/CT in the evaluation of post-radiotherapy treatment response in glioma patients and highlight their potential role in differentiating post-radiotherapy changes from glioma recurrence.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Glioma recurrence; Multimodal imaging; Post-radiotherapy changes; Pseudo-progression; Radiation necrosis

Mesh:

Year:  2020        PMID: 32448612     DOI: 10.1016/bs.irn.2020.03.009

Source DB:  PubMed          Journal:  Int Rev Neurobiol        ISSN: 0074-7742            Impact factor:   3.230


  5 in total

Review 1.  Metabolic and physiologic magnetic resonance imaging in distinguishing true progression from pseudoprogression in patients with glioblastoma.

Authors:  Sanjeev Chawla; Sultan Bukhari; Omar M Afridi; Sumei Wang; Santosh K Yadav; Hamed Akbari; Gaurav Verma; Kavindra Nath; Mohammad Haris; Stephen Bagley; Christos Davatzikos; Laurie A Loevner; Suyash Mohan
Journal:  NMR Biomed       Date:  2022-03-15       Impact factor: 4.478

2.  Multimodal MRI Assessment of Thalamic Structural Changes in Earthquake Survivors.

Authors:  Federico Bruno; Alessandra Splendiani; Emanuele Tommasino; Massimiliano Conson; Mario Quarantelli; Gennaro Saporito; Antonio Carolei; Simona Sacco; Ernesto Di Cesare; Antonio Barile; Carlo Masciocchi; Francesca Pistoia
Journal:  Diagnostics (Basel)       Date:  2021-01-04

Review 3.  Advanced Imaging Techniques for Newly Diagnosed and Recurrent Gliomas.

Authors:  Luis R Carrete; Jacob S Young; Soonmee Cha
Journal:  Front Neurosci       Date:  2022-02-23       Impact factor: 4.677

4.  Perfusion magnetic resonance imaging in the differentiation between glioma recurrence and pseudoprogression: a systematic review, meta-analysis and meta-regression.

Authors:  Jun Zhang; Yulin Wang; Yan Wang; Huafeng Xiao; Xinjing Chen; Yifei Lei; Zhebin Feng; Xiaodong Ma; Lin Ma
Journal:  Quant Imaging Med Surg       Date:  2022-10

5.  Identify glioma recurrence and treatment effects with triple-tracer PET/CT.

Authors:  Cong Li; Chang Yi; Yingshen Chen; Shaoyan Xi; Chengcheng Guo; Qunying Yang; Jian Wang; Ke Sai; Ji Zhang; Chao Ke; Fanfan Chen; Yanchun Lv; Xiangsong Zhang; Zhongping Chen
Journal:  BMC Med Imaging       Date:  2021-05-31       Impact factor: 1.930

  5 in total

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