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A Radiomics-Based Multi-Omics Integration Model to Predict the Therapeutic Response to Neoadjuvant Chemoradiotherapy of Rectal Cancer 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 卷号: 105, 期号: 1, 页码: S119-S119
作者:  Feng, L.;  Liu, Z.;  Lou, X.;  Zhou, X.;  Chen, H.;  Pang, X.;  Liu, S.;  He, F.;  Wei, M. B.;  Tian, J.;  Wan, X.
收藏  |  浏览/下载：286/0  |  提交时间：2019/12/16
Quantitative analysis of diffusion weighted imaging to predict pathological good response to neoadjuvant chemoradiation for locally advanced rectal cancer 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2019, 卷号: 132, 页码: 100-108
作者:  Tang, Zhenchao;  Zhang, Xiao-Yan;  Liu, Zhenyu;  Li, Xiao-Ting;  Shi, Yan-Jie;  Wang, Shou;  Fang, Mengjie;  Shen, Chen;  Dong, Enqing;  Sun, Ying-Shi;  Tian, Jie
Adobe PDF(2101Kb)  |  收藏  |  浏览/下载：375/55  |  提交时间：2019/07/12
Locally advanced rectal cancer  Neoadjuvant chemoradiotherapy  Organ-preserving strategies  Diffusion weighted imaging  Decision support