CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study

PURPOSE: To evaluate and validate CT-based models using pre- and posttreatment deep learning radiomics features and hematological biomarkers for assessing esophageal squamous cell carcinoma (ESCC) pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT). MATERIAL AND METHODS:...

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Detalles Bibliográficos
Autores principales: Zhang, Meng, Lu, Yukun, Sun, Hongfu, Hou, Chuanke, Zhou, Zichun, Liu, Xiao, Zhou, Qichao, Li, Zhenjiang, Yin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587766/
https://www.ncbi.nlm.nih.gov/pubmed/37839176
http://dx.doi.org/10.1016/j.tranon.2023.101804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587766/
https://www.ncbi.nlm.nih.gov/pubmed/37839176
http://dx.doi.org/10.1016/j.tranon.2023.101804

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