A novel clinical−radiomic nomogram for the crescent status in IgA nephropathy

OBJECTIVE: We used machine-learning (ML) models based on ultrasound radiomics to construct a nomogram for noninvasive evaluation of the crescent status in immunoglobulin A (IgA) nephropathy. METHODS: Patients with IgA nephropathy diagnosed by renal biopsy (n=567) were divided into training (n=398) a...

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Detalles Bibliográficos
Autores principales: Qin, Xiachuan, Xia, Linlin, Hu, Xiaomin, Xiao, Weihan, Huaming, Xian, Xisheng, Xie, Zhang, Chaoxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895811/
https://www.ncbi.nlm.nih.gov/pubmed/36742388
http://dx.doi.org/10.3389/fendo.2023.1093452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895811/
https://www.ncbi.nlm.nih.gov/pubmed/36742388
http://dx.doi.org/10.3389/fendo.2023.1093452

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