A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma

OBJECTIVES: Anaplastic lymphoma kinase (ALK) rearrangement status examination has been widely used in clinic for non-small cell lung cancer (NSCLC) patients in order to find patients that can be treated with targeted ALK inhibitors. This study intended to non-invasively predict the ALK rearrangement...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Cheng, Sun, Xiaoyan, Wang, Gang, Yu, Hong, Zhao, Wenlu, Ge, Yaqiong, Duan, Shaofeng, Qian, Xiaohua, Wang, Rui, Lei, Bei, Wang, Lihua, Liu, Liu, Ruan, Maomei, Yan, Hui, Liu, Ciyi, Chen, Jie, Xie, Wenhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962599/
https://www.ncbi.nlm.nih.gov/pubmed/33738250
http://dx.doi.org/10.3389/fonc.2021.603882

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7962599/
https://www.ncbi.nlm.nih.gov/pubmed/33738250
http://dx.doi.org/10.3389/fonc.2021.603882

Ejemplares similares