{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Isnaldi E"],"funding":["Cancer Foundation"],"pagination":["179-186"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7589564"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["54"],"pubmed_abstract":["Adipocytes and cancer-associated adipocytes (CAAs) are poorly investigated cells in the tumor microenvironment. Different image analysis software exist for identifying and measuring these cells using scanned hematoxylin and eosin (H&E)-stained slides. It is however unclear which one is the most appropriate for breast cancer (BC) samples. Here, we compared three software (AdipoCount, Adiposoft, and HALO®). HALO® outperformed the other methods with regard to adipocyte identification, (> 96% sensitivity and specificity). All software performed equally good with regard to area and diameter measurement (concordance correlation coefficients > 0.97 and > 0.96, respectively). We then analyzed a series of 10 BCE samples (n = 51 H&E slides) with HALO®. Distant adipocytes were defined >2 mm away from"],"journal":["Breast (Edinburgh, Scotland)"],"pubmed_title":["Digital analysis of distant and cancer-associated mammary adipocytes."],"pmcid":["PMC7589564"],"funding_grant_id":["FAF-C/2018/1302","FC/2018/07"],"pubmed_authors":["Maetens M","Isnaldi E","Leduc S","Sotiriou C","Zoppoli G","Larsimont D","Richard F","Geukens T","De Schepper M","Floris G","Desmedt C","Rouas G","Cardoso F","Vincent D","Biganzoli E"],"additional_accession":[]},"is_claimable":false,"name":"Digital analysis of distant and cancer-associated mammary adipocytes.","description":"Adipocytes and cancer-associated adipocytes (CAAs) are poorly investigated cells in the tumor microenvironment. Different image analysis software exist for identifying and measuring these cells using scanned hematoxylin and eosin (H&E)-stained slides. It is however unclear which one is the most appropriate for breast cancer (BC) samples. Here, we compared three software (AdipoCount, Adiposoft, and HALO®). HALO® outperformed the other methods with regard to adipocyte identification, (> 96% sensitivity and specificity). All software performed equally good with regard to area and diameter measurement (concordance correlation coefficients > 0.97 and > 0.96, respectively). We then analyzed a series of 10 BCE samples (n = 51 H&E slides) with HALO®. Distant adipocytes were defined >2 mm away from","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Dec","modification":"2025-04-18T21:35:15.908Z","creation":"2020-11-03T08:04:15Z"},"accession":"S-EPMC7589564","cross_references":{"pubmed":["33120083"],"doi":["10.1016/j.breast.2020.10.004"]}}