Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

OBJECTIVE: In this study, we aimed to investigate the predictive efficacy of magnetic resonance imaging (MRI) radiomics features at different time points of neoadjuvant therapy for rectal cancer in patients with pathological complete response (pCR). Furthermore, we aimed to develop and validate a ra...

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Detalles Bibliográficos
Autores principales: Peng, Jiaxuan, Wang, Wei, Jin, Hui, Qin, Xue, Hou, Jie, Yang, Zhang, Shu, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120125/
https://www.ncbi.nlm.nih.gov/pubmed/37085830
http://dx.doi.org/10.1186/s12885-023-10855-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120125/
https://www.ncbi.nlm.nih.gov/pubmed/37085830
http://dx.doi.org/10.1186/s12885-023-10855-w

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