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

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收录情况： ◇ SCIE

作者：
Cong Li[a,b] * ; Yanling Gan[a,b] * ; Huijing Chen[a,b,d] ; Yun Chen[a,b,e] ; Yuer Deng[a,b] ; Wengang Zhan[a,b] ; Qijia Tan[a,b] ; Caijun Xie[a,b] ; Hari Shanker Sharma[c] ; Zhiqiang Zhang[a,b] ;
机构： [a]Department of Neurosurgery, Chinese Medicine Hospital of Guangdong Province, Guangzhou, China [b]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China [c]International Experimental Central Nervous System Injury & Repair (IECNSIR), Department of Surgical Sciences, Anesthesiology & Intensive Care Medicine, University Hospital, Uppsala University, S-75185 Uppsala, Sweden [d]Guangzhou Huashang Vocational College [e]Hangzhou Hospital of Traditional Chinese Medicine, Guangxing Affiliated Hospital of Zhejiang Chinese Medical University.
出处：
DOI： 10.1016/bs.irn.2020.03.009
ISSN：

摘要：
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.

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外文
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出版当年[2019]版：
大类 | 3 区 医学
小类 | 4 区 神经科学
最新[2025]版：
无
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出版当年[2018]版：
Q3 NEUROSCIENCES
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无

影响因子： 最新[2023版] 最新五年平均 出版当年[2018版] 出版当年五年平均 出版前一年[2017版] 出版后一年[2019版]

第一作者：
第一作者机构： [a]Department of Neurosurgery, Chinese Medicine Hospital of Guangdong Province, Guangzhou, China [b]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
共同第一作者：
通讯作者：
通讯机构： [a]Department of Neurosurgery, Chinese Medicine Hospital of Guangdong Province, Guangzhou, China [b]The Second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China
推荐引用方式(GB/T 7714)：
Cong Li,Yanling Gan,Huijing Chen,et al.Advanced multimodal imaging in differentiating glioma recurrence from post-radiotherapy changes.[J].NOVEL THERAPEUTIC ADVANCES IN GLIOBLASTOMA.2020,151:281-297.doi:10.1016/bs.irn.2020.03.009.
APA：
Cong Li,Yanling Gan,Huijing Chen,Yun Chen,Yuer Deng...&Zhiqiang Zhang.(2020).Advanced multimodal imaging in differentiating glioma recurrence from post-radiotherapy changes..NOVEL THERAPEUTIC ADVANCES IN GLIOBLASTOMA,151,
MLA：
Cong Li,et al."Advanced multimodal imaging in differentiating glioma recurrence from post-radiotherapy changes.".NOVEL THERAPEUTIC ADVANCES IN GLIOBLASTOMA 151.(2020):281-297

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