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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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Dades bibliogràfiques
Publicat a:Chin Med J (Engl)
Autors principals: 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
Format: Artigo
Idioma:Inglês
Publicat: Lippincott Williams & Wilkins 2021
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8318662/
https://ncbi.nlm.nih.gov/pubmed/34397595
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CM9.0000000000001507
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