Classification of solid pulmonary nodules using a machine-learning nomogram based on (18)F-FDG PET/CT radiomics integrated clinicobiological features

BACKGROUND: To develop and validate an (18)F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) and clinico-biological features-based nomogram for distinguishing solid benign pulmonary nodules (BPNs) from malignant pulmonary nodules (MPNs). METHODS: A total of 280 pat...

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Detalles Bibliográficos
Autores principales: Ren, Caiyue, Xu, Mingxia, Zhang, Jiangang, Zhang, Fuquan, Song, Shaoli, Sun, Yun, Wu, Kailiang, Cheng, Jingyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816842/
https://www.ncbi.nlm.nih.gov/pubmed/36618813
http://dx.doi.org/10.21037/atm-22-2647

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816842/
https://www.ncbi.nlm.nih.gov/pubmed/36618813
http://dx.doi.org/10.21037/atm-22-2647

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