<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>13(1)</volume><submitter>Qian LD</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The aim of this study was to evaluate the effect of a model combining a 18F-fluorodeoxyglucose positron emission tomography/computed tomography (&lt;sup>18&lt;/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).&lt;h4>Methods&lt;/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</pubmed_abstract><journal>Quantitative imaging in medicine and surgery</journal><pagination>94-107</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9816755</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>&lt;sup>18&lt;/sup>F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification.</pubmed_title><pmcid>PMC9816755</pmcid><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Yang J</pubmed_authors><pubmed_authors>Liu L</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Ren JL</pubmed_authors><pubmed_authors>Qian LD</pubmed_authors><pubmed_authors>Zhang SX</pubmed_authors><pubmed_authors>Feng LJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>&lt;sup>18&lt;/sup>F-FDG PET/CT imaging of pediatric peripheral neuroblastic tumor: a combined model to predict the International Neuroblastoma Pathology Classification.</name><description>&lt;h4>Background&lt;/h4>The aim of this study was to evaluate the effect of a model combining a 18F-fluorodeoxyglucose positron emission tomography/computed tomography (&lt;sup>18&lt;/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).&lt;h4>Methods&lt;/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</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2025-04-21T16:22:13.154Z</modification><creation>2025-04-21T16:22:13.154Z</creation></dates><accession>S-EPMC9816755</accession><cross_references><pubmed>36620179</pubmed><doi>10.21037/qims-22-343</doi></cross_references></HashMap>