详情页 - 首都医科大学宣武医院知识库

当前位置：首页 > 详情页

Radiogenomics of lower-grade gliomas: a radiomic signature as a biological surrogate for survival prediction

文献详情

资源类型：

收录情况： ◇ SCIE

作者：

机构： [1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China [2]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China [3]Department of Neuroradiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China [4]Department of Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China [5]Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China [6]Chinese Academy of Sciences, Institute of Automation, Beijing, China

出处：

DOI：

ISSN：

关键词： gliomas prognosis genetics magnetic resonance imaging biomarkers

摘要：

Objective: We aimed to identify a radiomic signature to be used as a noninvasive biomarker of prognosis in patients with lower-grade gliomas (LGGs) and to reveal underlying biological processes through comprehensive radiogenomic investigation. Methods: We extracted 55 radiomic features from T2-weighted images of 233 patients with LGGs (training cohort: n = 85; validation cohort: n = 148). Univariate Cox regression and linear risk score formula were applied to generate a radiomic-based signature. Gene ontology analysis of highly expressed genes in the high-risk score group was conducted to establish a radiogenomic map. A nomogram was constructed for individualized survival prediction. Results: The six-feature radiomic signature stratified patients in the training cohort into low- or high-risk groups for overall survival (P = 0.0018). This result was successfully verified in the validation cohort (P = 0.0396). Radiogenomic analysis revealed that the prognostic radiomic signature was associated with hypoxia, angiogenesis, apoptosis, and cell proliferation. The nomogram resulted in high prognostic accuracy (C-index: 0.92, C-index: 0.70) and favorable calibration for individualized survival prediction in the training and validation cohorts. Conclusions: Our results suggest a great potential for the use of radiomic signature as a biological surrogate in providing prognostic information for patients with LGGs.

基金：

语种：

被引次数：

WOS：

PubmedID：

中科院(CAS)分区：

出版当年[2017]版：

大类 | 2 区生物

小类 | 3 区细胞生物学

最新[2023]版：

大类 | 3 区医学

小类 | 3 区细胞生物学 3 区老年医学

JCR分区：

出版当年[2016]版：

Q2 CELL BIOLOGY

最新[2023]版：

Q2 CELL BIOLOGY Q2 GERIATRICS & GERONTOLOGY

影响因子： 3.9 最新[2023版] 4.9 最新五年平均 4.867 出版当年[2016版] 5.24 出版当年五年平均 3.979 出版前一年[2015版] 5.179 出版后一年[2017版]

第一作者：

第一作者机构： [1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China

通讯作者：

通讯机构： [1]Beijing Neurosurgical Institute, Capital Medical University, Beijing, China [2]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China [5]Center of Brain Tumor, Beijing Institute for Brain Disorders, Beijing, China

推荐引用方式(GB/T 7714)：

APA：

MLA：

相关文献

[1]影响扩散张量图像质量和相关参数测量准确性的因素 [2]轻度认知功能损害的BOLD-fMRI研究进展 [3]Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature [4]基于磁共振图像的脑胶质瘤影像学临床分型及意义 [5]Radiomic signature: A novel magnetic resonance imaging-based prognostic biomarker in patients with skull base chordoma [6]Dynamic contrast-enhanced magnetic resonance imaging biomarkers predict chemotherapeutic responses and survival in primary central-nervous-system lymphoma [7]Cy5.5 conjugated MnO nanoparticles for magnetic resonance/near-infrared fluorescence dual-modal imaging of brain gliomas [8]Quantitative positron emission tomography-guided magnetic resonance imaging postprocessing in magnetic resonance imaging-negative epilepsies [9]Quantitative Assessment of Invasion o High-Grade Gliomas Using Diffusion Tensor Magnetic Resonance Imaging [10]"PALPATION BY IMAGING": MAGNETIC RESONANCE ELASTOGRAPHY