Cargando…
Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients
This retrospective study was to investigate whether radiomics feature come from radiotherapy treatment planning CT can predict prognosis in locally advanced rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery. Four-hundred-eleven locally advanced rectal cancer patients...
Autores principales: | Wang, Jiazhou, Shen, Lijun, Zhong, Haoyu, Zhou, Zhen, Hu, Panpan, Gan, Jiayu, Luo, Ruiyan, Hu, Weigang, Zhang, Zhen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814843/ https://www.ncbi.nlm.nih.gov/pubmed/31653909 http://dx.doi.org/10.1038/s41598-019-51629-4 |
Ejemplares similares
-
Reproducibility with repeat CT in radiomics study for rectal cancer
por: Hu, Panpan, et al.
Publicado: (2016) -
MV CBCT-Based Synthetic CT Generation Using a Deep Learning Method for Rectal Cancer Adaptive Radiotherapy
por: Zhao, Jun, et al.
Publicado: (2021) -
Evaluation of a hybrid automatic planning solution for rectal cancer
por: Peng, Jiyou, et al.
Publicado: (2022) -
MRI Radiomics Signature as a Potential Biomarker for Predicting KRAS Status in Locally Advanced Rectal Cancer Patients
por: Zhang, ZhiYuan, et al.
Publicado: (2021) -
An Artificial Intelligence-Based Full-Process Solution for Radiotherapy: A Proof of Concept Study on Rectal Cancer
por: Xia, Xiang, et al.
Publicado: (2021)