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

Zenghui Qian | Zendy; Yiming Li | Zendy; Zhiyan Sun | Zendy; Xing Fan | Zendy; Kaibin Xu | Zendy; Kai Wang | Zendy; Shaowu Li | Zendy; Zhong Zhang | Zendy; Tao Jiang | Zendy; Xing Liu | Zendy; Yinyan Wang | Zendy

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

Author(s) -

Zenghui Qian,

Yiming Li,

Zhiyan Sun,

Xing Fan,

Kaibin Xu,

Kai Wang,

Shaowu Li,

Zhong Zhang,

Tao Jiang,

Xing Liu,

Yinyan Wang

Publication year - 2018

Publication title -

aging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.473

H-Index - 90

ISSN - 1945-4589

DOI - 10.18632/aging.101594

Subject(s) - radiogenomics , nomogram , medicine , univariate , cohort , proportional hazards model , oncology , radiomics , biomarker , imaging biomarker , univariate analysis , survival analysis , magnetic resonance imaging , radiology , multivariate analysis , machine learning , computer science , multivariate statistics , biology , biochemistry

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.

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