Predicting shockwave lithotripsy outcome for urolithiasis using clinical and stone computed tomography texture analysis variables

We aimed to develop and evaluate a statistical model, which included known pre-treatment factors and new computed tomography texture analysis (CTTA) variables, for its ability to predict the likelihood of a successful outcome after extracorporeal shockwave lithotripsy (SWL) treatment for renal and u...

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Detalles Bibliográficos
Autores principales: Cui, Helen W., Silva, Mafalda D., Mills, Andrew W., North, Bernard V., Turney, Benjamin W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788981/
https://www.ncbi.nlm.nih.gov/pubmed/31604986
http://dx.doi.org/10.1038/s41598-019-51026-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788981/
https://www.ncbi.nlm.nih.gov/pubmed/31604986
http://dx.doi.org/10.1038/s41598-019-51026-x

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