<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Isnaldi E</submitter><funding>Cancer Foundation</funding><pagination>179-186</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7589564</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>54</volume><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&amp;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&amp;E slides) with HALO®. Distant adipocytes were defined >2 mm away from</pubmed_abstract><journal>Breast (Edinburgh, Scotland)</journal><pubmed_title>Digital analysis of distant and cancer-associated mammary adipocytes.</pubmed_title><pmcid>PMC7589564</pmcid><funding_grant_id>FAF-C/2018/1302</funding_grant_id><funding_grant_id>FC/2018/07</funding_grant_id><pubmed_authors>Maetens M</pubmed_authors><pubmed_authors>Isnaldi E</pubmed_authors><pubmed_authors>Leduc S</pubmed_authors><pubmed_authors>Sotiriou C</pubmed_authors><pubmed_authors>Zoppoli G</pubmed_authors><pubmed_authors>Larsimont D</pubmed_authors><pubmed_authors>Richard F</pubmed_authors><pubmed_authors>Geukens T</pubmed_authors><pubmed_authors>De Schepper M</pubmed_authors><pubmed_authors>Floris G</pubmed_authors><pubmed_authors>Desmedt C</pubmed_authors><pubmed_authors>Rouas G</pubmed_authors><pubmed_authors>Cardoso F</pubmed_authors><pubmed_authors>Vincent D</pubmed_authors><pubmed_authors>Biganzoli E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Digital analysis of distant and cancer-associated mammary adipocytes.</name><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&amp;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&amp;E slides) with HALO®. Distant adipocytes were defined >2 mm away from</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Dec</publication><modification>2025-04-18T21:35:15.908Z</modification><creation>2020-11-03T08:04:15Z</creation></dates><accession>S-EPMC7589564</accession><cross_references><pubmed>33120083</pubmed><doi>10.1016/j.breast.2020.10.004</doi></cross_references></HashMap>