{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mo T"],"funding":["European Union","University of Oslo"],"pagination":["1326"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8909402"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(5)"],"pubmed_abstract":["The purpose of the present study is to investigate if consumption and supply hypoxia (CSH) MR-imaging can depict breast cancer hypoxia, using the CSH-method initially developed for prostate cancer. Furthermore, to develop a generalized pan-cancer application of the CSH-method that doesn't require a hypoxia reference standard for training the CSH-parameters. In a cohort of 69 breast cancer patients, we generated, based on the principles of intravoxel incoherent motion modelling, images reflecting cellular density (apparent diffusion coefficient; ADC) and vascular density (perfusion fraction; fp). Combinations of the information in these images were compared to a molecular hypoxia score made from gene expression data, aiming to identify a way to apply the CSH-methodology in breast cancer. At"],"journal":["Cancers"],"pubmed_title":["Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast Cancer."],"pmcid":["PMC8909402"],"funding_grant_id":["847912","PerCaThe"],"pubmed_authors":["Kohn-Luque A","Mo T","Engebraaten O","Kristensen VN","Seierstad T","Fleischer T","Hompland T","Brandal SHB"],"additional_accession":[]},"is_claimable":false,"name":"Quantification of Tumor Hypoxia through Unsupervised Modelling of Consumption and Supply Hypoxia MR Imaging in Breast Cancer.","description":"The purpose of the present study is to investigate if consumption and supply hypoxia (CSH) MR-imaging can depict breast cancer hypoxia, using the CSH-method initially developed for prostate cancer. Furthermore, to develop a generalized pan-cancer application of the CSH-method that doesn't require a hypoxia reference standard for training the CSH-parameters. In a cohort of 69 breast cancer patients, we generated, based on the principles of intravoxel incoherent motion modelling, images reflecting cellular density (apparent diffusion coefficient; ADC) and vascular density (perfusion fraction; fp). Combinations of the information in these images were compared to a molecular hypoxia score made from gene expression data, aiming to identify a way to apply the CSH-methodology in breast cancer. At","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Mar","modification":"2025-04-20T00:18:06.613Z","creation":"2025-02-19T01:53:35.845Z"},"accession":"S-EPMC8909402","cross_references":{"pubmed":["35267636"],"doi":["10.3390/cancers14051326"]}}