Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography: a multivariable predictive model study

BACKGROUND: Computed tomography images are easy to misjudge because of their complexity, especially images of solitary pulmonary nodules, of which diagnosis as benign or malignant is extremely important in lung cancer treatment. Therefore, there is an urgent need for a more effective strategy in lun...

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Detalles Bibliográficos
Autores principales: Liu, Hai-Yang, Zhao, Xing-Ru, Chi, Meng, Cheng, Xiang-Song, Wang, Zi-Qi, Xu, Zhi-Wei, Li, Yong-Li, Yang, Rui, Wu, Yong-Jun, Zhang, Xiao-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318662/
https://www.ncbi.nlm.nih.gov/pubmed/34397595
http://dx.doi.org/10.1097/CM9.0000000000001507

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318662/
https://www.ncbi.nlm.nih.gov/pubmed/34397595
http://dx.doi.org/10.1097/CM9.0000000000001507

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