Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography

BACKGROUND: To develop and validate a quantitative computed tomography (QCT) based radiomics model for discriminating osteoporosis and osteopenia. METHODS: A total of 635 patients underwent QCT were retrospectively included from November 2016 to November 2019. The patients with osteopenia or osteopo...

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Detalles Bibliográficos
Autores principales: Xie, Qianrong, Chen, Yue, Hu, Yimei, Zeng, Fanwei, Wang, Pingxi, Xu, Lin, Wu, Jianhong, Li, Jie, Zhu, Jing, Xiang, Ming, Zeng, Fanxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358842/
https://www.ncbi.nlm.nih.gov/pubmed/35941568
http://dx.doi.org/10.1186/s12880-022-00868-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358842/
https://www.ncbi.nlm.nih.gov/pubmed/35941568
http://dx.doi.org/10.1186/s12880-022-00868-5

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