论文标题

胶质母细胞瘤的放射基因组学:与分子亚型相关的放射组学的鉴定

Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes

论文作者

Wijethilake, Navodini, Islam, Mobarakol, Meedeniya, Dulani, Chitraranjan, Charith, Perera, Indika, Ren, Hongliang

论文摘要

胶质母细胞瘤是基于分子水平的基因改变裂解的GBM亚型的最恶性类型的中枢神经系统肿瘤类型。这些改变也恰好影响了组织学。因此,它可能会导致图像的可见变化,例如增强和水肿发展。在这项研究中,我们从肿瘤子区域提取强度,体积和纹理特征,以确定与基因表达特征和整体生存的相关性。因此,我们利用放射线学来找到与胶质母细胞瘤亚型的关联。因此,整个肿瘤,肿瘤核心和坏死区域的分形维度显示了主腔,经典和间充质亚型之间的显着差异。此外,使用放射线学的平均准确性为79%,并且使用基因表达曲线的平均准确性为79%。

Glioblastoma is the most malignant type of central nervous system tumor with GBM subtypes cleaved based on molecular level gene alterations. These alterations are also happened to affect the histology. Thus, it can cause visible changes in images, such as enhancement and edema development. In this study, we extract intensity, volume, and texture features from the tumor subregions to identify the correlations with gene expression features and overall survival. Consequently, we utilize the radiomics to find associations with the subtypes of glioblastoma. Accordingly, the fractal dimensions of the whole tumor, tumor core, and necrosis regions show a significant difference between the Proneural, Classical and Mesenchymal subtypes. Additionally, the subtypes of GBM are predicted with an average accuracy of 79% utilizing radiomics and accuracy over 90% utilizing gene expression profiles.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源