Cargando…
CT-Based Sarcopenic Nomogram for Predicting Progressive Disease in Advanced Non-Small-Cell Lung Cancer
BACKGROUND: It is prudent to identify the risk for progressive disease (PD) in patients with non-small-cell lung cancer (NSCLC) who undergo platinum-based chemotherapy. The present study aimed to develop a CT imaging-based sarcopenic nomogram for predicting the risk of PD prior to chemotherapy treat...
Autores principales: | Yi, Xiaoping, Chen, Qiurong, Yang, Jingying, Jiang, Dengke, Zhu, Liping, Liu, Haipeng, Pang, Peipei, Zeng, Feiyue, Chen, Changyong, Gong, Guanghui, Yin, Hongling, Li, Bin, Chen, Bihong T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531595/ https://www.ncbi.nlm.nih.gov/pubmed/34692468 http://dx.doi.org/10.3389/fonc.2021.643941 |
Ejemplares similares
-
Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study
por: Mao, Yitao, et al.
Publicado: (2022) -
CT radiomics identifying non‐responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer
por: Zhang, Zinan, et al.
Publicado: (2022) -
Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma
por: Yi, Xiaoping, et al.
Publicado: (2021) -
Computed Tomography-Based Machine Learning Differentiates Adrenal Pheochromocytoma From Lipid-Poor Adenoma
por: Liu, Haipeng, et al.
Publicado: (2022) -
Preoperative Magnetic Resonance Imaging Radiomics for Predicting Early Recurrence of Glioblastoma
por: Wang, Jing, et al.
Publicado: (2021)