| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 8956124 | EBioMedicine | 2018 | 8 Pages |
Abstract
The radiomics nomogram showed better calibration and classification capacity than the clinical model with AUC 0.86 vs. 0.79 for the training cohort, and 0.84 vs. 0.73 for the validation cohort. Decision curve analysis demonstrated the clinical usefulness of the radiomics nomogram. A significant difference (p-value <.05; log-rank test) was observed between the survival curves of the nomogram-predicted survival and non-survival groups. The radiomics nomogram may assist clinicians in tailoring appropriate therapy.
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Authors
Yan Wu, Lei Xu, Pengfei Yang, Nong Lin, Xin Huang, Weibo Pan, Hengyuan Li, Peng Lin, Binghao Li, Varitsara Bunpetch, Chen Luo, Yangkang Jiang, Disheng Yang, Mi Huang, Tianye Niu, Zhaoming Ye,