CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Biomarkers which can identify Diffuse Large B-Cell Lymphoma (DLBCL) likely to be refractory to first-line therapy are essential for selecting this population prior to therapy initiation to offer alternate therapeutic options that can improve prognosis. We tested the ability of a CT-based radiomics a...

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Detalles Bibliográficos
Autores principales: Santiago, Raoul, Ortiz Jimenez, Johanna, Forghani, Reza, Muthukrishnan, Nikesh, Del Corpo, Olivier, Karthigesu, Shairabi, Haider, Muhammad Yahya, Reinhold, Caroline, Assouline, Sarit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348197/
https://www.ncbi.nlm.nih.gov/pubmed/34343854
http://dx.doi.org/10.1016/j.tranon.2021.101188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348197/
https://www.ncbi.nlm.nih.gov/pubmed/34343854
http://dx.doi.org/10.1016/j.tranon.2021.101188

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