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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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