{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13(1)"],"submitter":["Qian LD"],"pubmed_abstract":["<h4>Background</h4>The aim of this study was to evaluate the effect of a model combining a 18F-fluorodeoxyglucose positron emission tomography/computed tomography (<sup>18</sup>F-FDG PET/CT)-based radiomics signature with clinical factors in the preoperative prediction of the International Neuroblastoma Pathology Classification (INPC) type of pediatric peripheral neuroblastic tumor (pNT).<h4>Methods</h4>A total of 106 consecutive pediatric pNT patients confirmed by pathology were retrospectively analyzed. Significant features determined by multivariate logistic regression were retained to establish a clinical model (C-model), which included clinical parameters and PET/CT radiographic features. A radiomics model (R-model) was constructed on the basis of PET and CT images. A semiautomatic me"],"journal":["Quantitative imaging in medicine and surgery"],"pagination":["94-107"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9816755"],"repository":["biostudies-literature"],"pubmed_title":["<sup>18</sup>F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification."],"pmcid":["PMC9816755"],"pubmed_authors":["Liu J","Yang J","Liu L","Zhang H","Ren JL","Qian LD","Zhang SX","Feng LJ"],"additional_accession":[]},"is_claimable":false,"name":"<sup>18</sup>F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification.","description":"<h4>Background</h4>The aim of this study was to evaluate the effect of a model combining a 18F-fluorodeoxyglucose positron emission tomography/computed tomography (<sup>18</sup>F-FDG PET/CT)-based radiomics signature with clinical factors in the preoperative prediction of the International Neuroblastoma Pathology Classification (INPC) type of pediatric peripheral neuroblastic tumor (pNT).<h4>Methods</h4>A total of 106 consecutive pediatric pNT patients confirmed by pathology were retrospectively analyzed. Significant features determined by multivariate logistic regression were retained to establish a clinical model (C-model), which included clinical parameters and PET/CT radiographic features. A radiomics model (R-model) was constructed on the basis of PET and CT images. A semiautomatic me","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-21T16:22:13.154Z","creation":"2025-04-21T16:22:13.154Z"},"accession":"S-EPMC9816755","cross_references":{"pubmed":["36620179"],"doi":["10.21037/qims-22-343"]}}