Development of machine learning models integrating PET/CT radiomic and immunohistochemical pathomic features for treatment strategy choice of cervical cancer with negative pelvic lymph node by mediating COX-2 expression

Objectives: We aimed to establish machine learning models based on texture analysis predicting pelvic lymph node metastasis (PLNM) and expression of cyclooxygenase-2 (COX-2) in cervical cancer with PET/CT negative pelvic lymph node (PLN). Methods: Eight hundred and thirty-seven texture features were...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Zhe, Li, Xiaoran, Sun, Hongzan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614332/
https://www.ncbi.nlm.nih.gov/pubmed/36311222
http://dx.doi.org/10.3389/fphys.2022.994304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614332/
https://www.ncbi.nlm.nih.gov/pubmed/36311222
http://dx.doi.org/10.3389/fphys.2022.994304

Ejemplares similares