Multi-center evaluation of machine learning-based radiomic model in predicting disease free survival and adjuvant chemotherapy benefit in stage II colorectal cancer patients

BACKGROUND: Our study aimed to explore the potential of radiomics features derived from CT images in predicting the prognosis and response to adjuvant chemotherapy (ACT) in patients with Stage II colorectal cancer (CRC). METHODS: A total of 478 patients with confirmed stage II CRC, with 313 from Sha...

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Detalles Bibliográficos
Autores principales: Zhu, Hui, Hu, Muni, Ma, Yanru, Yao, Xun, Lin, Xiaozhu, Li, Menglei, Li, Yue, Wu, Zhiyuan, Shi, Debing, Tong, Tong, Chen, Haoyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401876/
https://www.ncbi.nlm.nih.gov/pubmed/37537659
http://dx.doi.org/10.1186/s40644-023-00588-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10401876/
https://www.ncbi.nlm.nih.gov/pubmed/37537659
http://dx.doi.org/10.1186/s40644-023-00588-1

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