Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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2017年学术文章

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Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

@en

Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

@en

Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

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P1476

Radiomic features predict Ki-67 expression level and survival in lower grade gliomas.

@en

P2093

Kai Wang

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Kaibin Xu

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Shaowu Li

http://www.w3.org/2001/XMLSchema#string

Xing Fan

http://www.w3.org/2001/XMLSchema#string

Xing Liu

http://www.w3.org/2001/XMLSchema#string

Yiming Li

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Yinyan Wang

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Zenghui Qian

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P2860

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Ki-67 is a valuable prognostic factor in gliomas: evidence from a systematic review and meta-analysis

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Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity.

Practice changing mature results of RTOG study 9802: another positive PCV trial makes adjuvant chemotherapy part of standard of care in low-grade glioma.

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

Molecular classification of gliomas based on whole genome gene expression: a systematic report of 225 samples from the Chinese Glioma Cooperative Group

P2888

s11060-017-2576-8

P304

317-324

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scholarly article

P356

10.1007/S11060-017-2576-8

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P433

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P478

135

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P50

T Jiang

P577

2017-09-12T00:00:00Z

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P698

28900812

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