4.2 Article

Imaging glioblastoma multiforme

期刊

CANCER JOURNAL
卷 9, 期 2, 页码 134-145

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/00130404-200303000-00009

关键词

brain tumor; diffusion MR imaging; glioma therapy; perfusion MR imaging; proton MR spectroscopy

类别

资金

  1. NCI NIH HHS [CA79719, CA59880] Funding Source: Medline

向作者/读者索取更多资源

Glioblastoma multiforme are infiltrative lesions that have a high degree of heterogeneity, both within and between different patients. Imaging is critical for all phases in the evaluation and treatment of these lesions, but has been limited in providing information that is reliable enough to stratify patients into groups with uniform behavior and to predict outcome. Although magnetic resonance imaging is the method of choice for visualizing anatomic features of the lesion, its results are ambiguous in terms of defining the functional characteristics of the lesion and distinguishing tumor from treatment induced necrosis. Recent advances in magnetic resonance have made possible the routine acquisition of physiological data such as perfusion-and diffusion-weighted images and of metabolic data such as water suppressed proton spectroscopic images. These provide quantitative measurements that are more closely related to the biological properties of the tumor and reflect changes in tumor vascularity, cellularity and proliferation that are associated with tumor progression. As the molecular properties that influence invasion and neoplastic transformation are elucidated, it is critical that noninvasive imaging techniques are available for investigating new therapies and tailoring treatment to individual patient characteristics. The data obtained from patients with glioblastoma multiforme have already demonstrated that these new magnetic resonance techniques are able to contribute to diagnosis, characterization of malignant potential, treatment planning and assessment of response to therapy.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据