Longitudinal prediction of lung nodule invasiveness by sequential modelling with common clinical computed tomography (CT) measurements: a prediction accuracy study

BACKGROUND: Accurate preoperative prediction of the invasiveness of lung nodules on computed tomography (CT) can avoid unnecessary invasive procedures and costs for low-risk patients. While previous studies approached this task using cross-sectional data, this study aimed to utilize the commonly ava...

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Detalles Bibliográficos
Autores principales: Tao, Guangyu, Shi, Dejun, Yu, Lingming, Chen, Chunji, Zhang, Zheng, Park, Chang Min, Szurowska, Edyta, Chen, Yinan, Wang, Rui, Yu, Hong
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/PMC9186168/
https://www.ncbi.nlm.nih.gov/pubmed/35693275
http://dx.doi.org/10.21037/tlcr-22-319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9186168/
https://www.ncbi.nlm.nih.gov/pubmed/35693275
http://dx.doi.org/10.21037/tlcr-22-319

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