<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Vagts C</submitter><funding>NHLBI NIH HHS</funding><funding>National Institutes of Health</funding><pagination>595077</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7943443</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>8</volume><pubmed_abstract>&lt;b>Introduction:&lt;/b> Sarcoidosis is a T-helper cell mediated disease characterized by granulomatous inflammation. We posited that unsupervised clustering of various features in sarcoidosis would establish phenotypes associated with inflammatory activity measured by 18FDG-PET/CT. Our goal was to identify unique features capable of distinguishing clusters and subsequently examine the relationship with FDG avidity to substantiate their potential use as markers for sarcoidosis inflammation. &lt;b>Methods:&lt;/b> We performed a retrospective study of a diverse, but primarily African American, cohort of 58 subjects with biopsy proven sarcoidosis followed at the University of Illinois Bernie Mac Sarcoidosis Center and Center for Lung Health who underwent 18FDG-PET/CT scan. Demographic, therapeutic, rad</pubmed_abstract><journal>Frontiers in medicine</journal><pubmed_title>Unsupervised Clustering Reveals Sarcoidosis Phenotypes Marked by a Reduction in Lymphocytes Relate to Increased Inflammatory Activity on 18FDG-PET/CT.</pubmed_title><pmcid>PMC7943443</pmcid><funding_grant_id>T32 HL144909</funding_grant_id><funding_grant_id>K08 HL133474</funding_grant_id><funding_grant_id>R01 HL138628-01A1S1</funding_grant_id><pubmed_authors>Baughman RP</pubmed_authors><pubmed_authors>Vagts C</pubmed_authors><pubmed_authors>Edafetanure-Ibeh R</pubmed_authors><pubmed_authors>Sweiss NJ</pubmed_authors><pubmed_authors>Huang Y</pubmed_authors><pubmed_authors>Ahmed S</pubmed_authors><pubmed_authors>Finn PW</pubmed_authors><pubmed_authors>Fraidenburg DR</pubmed_authors><pubmed_authors>Lu Y</pubmed_authors><pubmed_authors>Levin B</pubmed_authors><pubmed_authors>Ascoli C</pubmed_authors><pubmed_authors>Perkins DL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Unsupervised Clustering Reveals Sarcoidosis Phenotypes Marked by a Reduction in Lymphocytes Relate to Increased Inflammatory Activity on 18FDG-PET/CT.</name><description>&lt;b>Introduction:&lt;/b> Sarcoidosis is a T-helper cell mediated disease characterized by granulomatous inflammation. We posited that unsupervised clustering of various features in sarcoidosis would establish phenotypes associated with inflammatory activity measured by 18FDG-PET/CT. Our goal was to identify unique features capable of distinguishing clusters and subsequently examine the relationship with FDG avidity to substantiate their potential use as markers for sarcoidosis inflammation. &lt;b>Methods:&lt;/b> We performed a retrospective study of a diverse, but primarily African American, cohort of 58 subjects with biopsy proven sarcoidosis followed at the University of Illinois Bernie Mac Sarcoidosis Center and Center for Lung Health who underwent 18FDG-PET/CT scan. Demographic, therapeutic, rad</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2025-04-05T15:24:34.254Z</modification><creation>2021-03-13T08:16:00Z</creation></dates><accession>S-EPMC7943443</accession><cross_references><pubmed>33718397</pubmed><doi>10.3389/fmed.2021.595077</doi></cross_references></HashMap>