Predicting glioblastoma progression using MR diffusion tensor imaging: A systematic review

IF 2.3 4区 医学 Q3 CLINICAL NEUROLOGY
Francesca M. Cozzi, Roxanne C. Mayrand, Yizhou Wan, Stephen J. Price
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引用次数: 0

Abstract

Background and purpose

Despite multimodal treatment of glioblastoma (GBM), recurrence beyond the initial tumor volume is inevitable. Moreover, conventional MRI has shortcomings that hinder the early detection of occult white matter tract infiltration by tumor, but diffusion tensor imaging (DTI) is a sensitive probe for assessing microstructural changes, facilitating the identification of progression before standard imaging. This sensitivity makes DTI a valuable tool for predicting recurrence. A systematic review was therefore conducted to investigate how DTI, in comparison to conventional MRI, can be used for predicting GBM progression.

Methods

We queried three databases (PubMed, Web of Science, and Scopus) using the search terms: (diffusion tensor imaging OR DTI) AND (glioblastoma OR GBM) AND (recurrence OR progression). For included studies, data pertaining to the study type, number of GBM recurrence patients, treatment type(s), and DTI-related metrics of recurrence were extracted.

Results

In all, 16 studies were included, from which there were 394 patients in total. Six studies reported decreased fractional anisotropy in recurrence regions, and 2 studies described the utility of connectomics/tractography for predicting tumor migratory pathways to a site of recurrence. Three studies reported evidence of tumor progression using DTI before recurrence was visible on conventional imaging.

Conclusions

These findings suggest that DTI metrics may be useful for guiding surgical and radiotherapy planning for GBM patients, and for informing long-term surveillance. Understanding the current state of the literature pertaining to these metrics’ trends is crucial, particularly as DTI is increasingly used as a treatment-guiding imaging modality.

Abstract Image

背景和目的:尽管对胶质母细胞瘤(GBM)进行了多模式治疗,但肿瘤复发仍不可避免。此外,传统核磁共振成像(MRI)存在一些缺陷,妨碍了早期发现隐匿的白质束肿瘤浸润,而弥散张量成像(DTI)是评估微观结构变化的灵敏探针,有助于在标准成像之前发现进展。这种敏感性使 DTI 成为预测复发的重要工具。因此,我们进行了一项系统性综述,研究 DTI 与传统 MRI 相比,如何用于预测 GBM 的进展:我们使用以下检索词查询了三个数据库(PubMed、Web of Science 和 Scopus):(弥散张量成像或 DTI)和(胶质母细胞瘤或 GBM)和(复发或进展)。对于纳入的研究,我们提取了与研究类型、GBM 复发患者人数、治疗类型和 DTI 相关的复发指标有关的数据:共纳入 16 项研究,其中共有 394 名患者。六项研究报告了复发区域分数各向异性的降低,两项研究描述了连接组学/切片学在预测肿瘤向复发部位迁移路径方面的效用。有三项研究报告称,在常规成像显示复发之前,DTI就能提供肿瘤进展的证据:这些发现表明,DTI 指标可能有助于指导 GBM 患者的手术和放疗计划,并为长期监测提供信息。了解有关这些指标趋势的文献现状至关重要,尤其是在 DTI 越来越多地被用作治疗指导成像方式的情况下。
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来源期刊
Journal of Neuroimaging
Journal of Neuroimaging 医学-核医学
CiteScore
4.70
自引率
0.00%
发文量
117
审稿时长
6-12 weeks
期刊介绍: Start reading the Journal of Neuroimaging to learn the latest neurological imaging techniques. The peer-reviewed research is written in a practical clinical context, giving you the information you need on: MRI CT Carotid Ultrasound and TCD SPECT PET Endovascular Surgical Neuroradiology Functional MRI Xenon CT and other new and upcoming neuroscientific modalities.The Journal of Neuroimaging addresses the full spectrum of human nervous system disease, including stroke, neoplasia, degenerating and demyelinating disease, epilepsy, tumors, lesions, infectious disease, cerebral vascular arterial diseases, toxic-metabolic disease, psychoses, dementias, heredo-familial disease, and trauma.Offering original research, review articles, case reports, neuroimaging CPCs, and evaluations of instruments and technology relevant to the nervous system, the Journal of Neuroimaging focuses on useful clinical developments and applications, tested techniques and interpretations, patient care, diagnostics, and therapeutics. Start reading today!
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