Radiogenomics: a key component of precision cancer medicine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology
Link
https://www.nature.com/articles/s41416-023-02317-8.pdf
Reference137 articles.
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3. Chaddad A, Daniel P, Sabri S, Desrosiers C, Abdulkarim B. Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma. Cancers. 2019;11:1148.
4. Ren Y, Zhang X, Rui W, Pang H, Qiu T, Wang J, et al. Noninvasive prediction of IDH1 mutation and ATRX expression loss in low-grade gliomas using multiparametric MR radiomic features. J Magn Reson Imaging. 2019;49:808–17.
5. Sakai Y, Yang C, Kihira S, Tsankova N, Khan F, Hormigo A, et al. MRI radiomic features to predict IDH1 mutation status in gliomas: a machine learning approach using gradient tree boosting. Int J Mol Sci. 2020;21:8004.
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