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Preoperative prediction of pathological grade in pancreatic ductal adenocarcinoma based on (18)F-FDG PET/CT radiomics
PURPOSE: To develop and validate a machine learning model based on radiomic features derived from (18)F-fluorodeoxyglucose ((18)F-FDG) positron emission tomography/computed tomography (PET/CT) images to preoperatively predict the pathological grade in patients with pancreatic ductal adenocarcinoma (...
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| Publicado en: | EJNMMI Res |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7907291/ https://ncbi.nlm.nih.gov/pubmed/33630176 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13550-021-00760-3 |
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