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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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| Publié dans: | Sci Rep |
|---|---|
| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6788981/ https://ncbi.nlm.nih.gov/pubmed/31604986 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-019-51026-x |
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