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Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging
Liu, Shuai1,2; Wang, Yinyan1; Xu, Kaibin3; Wang, Zheng1,2; Fan, Xing2; Zhang, Chuanbao1,2; Li, Shaowu2,4; Qiu, Xiaoguang5; Jiang, Tao1,2,6
Source PublicationSCIENTIFIC REPORTS
2017-08-16
Volume7
SubtypeArticle
AbstractNecrosis is a hallmark feature of glioblastoma (GBM). This study investigated the prognostic role of necrotic patterns in GBM using fractal dimension (FD) and lacunarity analyses of magnetic resonance imaging (MRI) data and evaluated the role of lacunarity in the biological processes leading to necrosis. We retrospectively reviewed clinical and MRI data of 95 patients with GBM. FD and lacunarity of the necrosis on MRI were calculated by fractal analysis and subjected to survival analysis. We also performed gene ontology analysis in 32 patients with available RNA-seq data. Univariate analysis revealed that FD < 1.56 and lacunarity > 0.46 significantly correlated with poor progression-free survival (p = 0.006 and p = 0.012, respectively) and overall survival (p = 0.008 and p = 0.005, respectively). Multivariate analysis revealed that both parameters were independent factors for unfavorable progression-free survival (p = 0.001 and p = 0.015, respectively) and overall survival (p = 0.002 and p = 0.007, respectively). Gene ontology analysis revealed that genes positively correlated with lacunarity were involved in the suppression of apoptosis and necrosis-associated biological processes. We demonstrate that the fractal parameters of necrosis in GBM can predict patient survival and are associated with the biological processes of tumor necrosis.
WOS HeadingsScience & Technology
DOI10.1038/s41598-017-08862-6
WOS KeywordTUMOR-NECROSIS-FACTOR ; CELL-DEATH ; MULTIFORME ; ACTIVATION ; COMPLEXITY ; APOPTOSIS ; GLIOMAS ; CANCER
Indexed BySCI
Language英语
Funding OrganizationCapital Medical Development Research Fund(2016-2-1073) ; National Key Research and Development Plan(2016YFC0902500) ; National Natural Science Foundation of China(81502495)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000407674800001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20706
Collection脑网络组研究中心
Affiliation1.Capital Med Univ, Beijing Tiantan Hosp, Dept Neurosurg, Beijing, Peoples R China
2.Capital Med Univ, Beijing Neurosurg Inst, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
4.Capital Med Univ, Beijing Tiantan Hosp, Dept Neuroradiol, Beijing, Peoples R China
5.Capital Med Univ, Beijing Tiantan Hosp, Dept Radiat Oncol, Beijing, Peoples R China
6.Beijing Inst Brain Disorders, Ctr Brain Tumor, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Liu, Shuai,Wang, Yinyan,Xu, Kaibin,et al. Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging[J]. SCIENTIFIC REPORTS,2017,7.
APA Liu, Shuai.,Wang, Yinyan.,Xu, Kaibin.,Wang, Zheng.,Fan, Xing.,...&Jiang, Tao.(2017).Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging.SCIENTIFIC REPORTS,7.
MLA Liu, Shuai,et al."Relationship between necrotic patterns in glioblastoma and patient survival: fractal dimension and lacunarity analyses using magnetic resonance imaging".SCIENTIFIC REPORTS 7(2017).
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