The predictive value of a computed tomography-based radiomics model for the surgical separability of thymic epithelial tumors from the superior vena cava and the left innominate vein

BACKGROUND: The aim of this study was to develop a radiomics machine learning model based on computed tomography (CT) that can predict whether thymic epithelial tumors (TETs) can be separated from veins during surgery and to compare the accuracy of the radiomics model to that of radiologists. METHOD...

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Detalles Bibliográficos
Autores principales: Li, Zhiyang, Wang, Fuqiang, Zhang, Hanlu, Zheng, Hong, Zhou, Xue, Wang, Zhensong, Xie, Shenglong, Peng, Lei, Wang, Xuyang, Wang, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498270/
https://www.ncbi.nlm.nih.gov/pubmed/37711814
http://dx.doi.org/10.21037/qims-22-1050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498270/
https://www.ncbi.nlm.nih.gov/pubmed/37711814
http://dx.doi.org/10.21037/qims-22-1050

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