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 (...

Volledige beschrijving

Bewaard in:
Bibliografische gegevens
Gepubliceerd in:EJNMMI Res
Hoofdauteurs: Xing, Haiqun, Hao, Zhixin, Zhu, Wenjia, Sun, Dehui, Ding, Jie, Zhang, Hui, Liu, Yu, Huo, Li
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Springer Berlin Heidelberg 2021
Onderwerpen:
Original Research
Online toegang: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
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items