{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Aide N"],"pubmed_abstract":["<h4>Introduction</h4>We aimed to investigate whether <sup>18</sup>F-FDG PET metabolic heterogeneity reflects the heterogeneity of estrogen receptor (ER) and progesterone receptor (PR) expressions within luminal non-metastatic breast tumors and if it could help in identifying patients with worst event-free survival (EFS).<h4>Materials and methods</h4>On 38 PET high-resolution breast bed positions, a single physician drew volumes of interest encompassing the breast tumors to extract SUV<sub>max</sub>, histogram parameters and textural features. High-resolution immunochemistry (IHC) scans were analyzed to extract Haralick parameters and descriptors of the distribution shape. Correlation between IHC and PET parameters were explored using Spearman tests. Variables of interest to predict the EFS"],"journal":["Frontiers in oncology"],"pagination":["599050"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7837029"],"repository":["biostudies-literature"],"pubmed_title":["Hormonal Receptor Immunochemistry Heterogeneity and <sup>18</sup>F-FDG Metabolic Heterogeneity: Preliminary Results of Their Relationship and Prognostic Value in Luminal Non-Metastatic Breast Cancers."],"pmcid":["PMC7837029"],"pubmed_authors":["Elie N","Aide N","Blanc-Fournier C","Lasnon C","Levy C","Salomon T"],"additional_accession":[]},"is_claimable":false,"name":"Hormonal Receptor Immunochemistry Heterogeneity and <sup>18</sup>F-FDG Metabolic Heterogeneity: Preliminary Results of Their Relationship and Prognostic Value in Luminal Non-Metastatic Breast Cancers.","description":"<h4>Introduction</h4>We aimed to investigate whether <sup>18</sup>F-FDG PET metabolic heterogeneity reflects the heterogeneity of estrogen receptor (ER) and progesterone receptor (PR) expressions within luminal non-metastatic breast tumors and if it could help in identifying patients with worst event-free survival (EFS).<h4>Materials and methods</h4>On 38 PET high-resolution breast bed positions, a single physician drew volumes of interest encompassing the breast tumors to extract SUV<sub>max</sub>, histogram parameters and textural features. High-resolution immunochemistry (IHC) scans were analyzed to extract Haralick parameters and descriptors of the distribution shape. Correlation between IHC and PET parameters were explored using Spearman tests. Variables of interest to predict the EFS","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020","modification":"2025-04-26T06:26:30.598Z","creation":"2021-02-21T04:33:12Z"},"accession":"S-EPMC7837029","cross_references":{"pubmed":["33511077"],"doi":["10.3389/fonc.2020.599050"]}}