Cargando…
Predicting chemotherapy response in non-small-cell lung cancer via computed tomography radiomic features: Peritumoral, intratumoral, or combined?
PURPOSE: This study aims to evaluate the ability of peritumoral, intratumoral, or combined computed tomography (CT) radiomic features to predict chemotherapy response in non-small cell lung cancer (NSCLC). METHODS: After excluding subjects with incomplete data or other types of treatments, 272 (Data...
Autores principales: | Chang, Runsheng, Qi, Shouliang, Zuo, Yifan, Yue, Yong, Zhang, Xiaoye, Guan, Yubao, Qian, Wei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9393703/ https://www.ncbi.nlm.nih.gov/pubmed/36003781 http://dx.doi.org/10.3389/fonc.2022.915835 |
Ejemplares similares
-
Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images
por: Chang, Runsheng, et al.
Publicado: (2021) -
Differentiation of malignant brain tumor types using intratumoral and peritumoral radiomic features
por: Liu, Dongming, et al.
Publicado: (2022) -
Deep radiomic model based on the sphere–shell partition for predicting treatment response to chemotherapy in lung cancer
por: Chang, Runsheng, et al.
Publicado: (2023) -
Intratumoral and peritumoral radiomics model based on abdominal ultrasound for predicting Ki-67 expression in patients with hepatocellular cancer
por: Qian, Hongwei, et al.
Publicado: (2023) -
Development of an interpretable machine learning model for Ki-67 prediction in breast cancer using intratumoral and peritumoral ultrasound radiomics features
por: Wang, Jing, et al.
Publicado: (2023)