<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>de Moura HL</submitter><funding>NIBIB NIH HHS</funding><funding>NIAMS NIH HHS</funding><pubmed_abstract>&lt;h4>Background&lt;/h4>Early detection of knee osteoarthritis (OA) is important. Spin-lattice relaxation in the rotating frame (T&lt;sub>1ρ&lt;/sub>) mapping is sensitive to early cartilage changes, but the mono-exponential (ME) model may be limited. Multi-component models can capture more tissue complexity, but their diagnostic advantage has not been validated.&lt;h4>Purpose&lt;/h4>To evaluate if stretched- (SE) and bi-exponential (BE) T&lt;sub>1ρ&lt;/sub> models can improve early knee OA detection over the ME model.&lt;h4>Study type&lt;/h4>Case-control study.&lt;h4>Population&lt;/h4>Twenty-six healthy subjects (mean age 51.5) and 26 early knee OA patients (mean age 61.8).&lt;h4>Field strength/sequence&lt;/h4>T&lt;sub>1ρ&lt;/sub>-prepared Turbo FLASH sequence at 3 T field strength.&lt;h4>Assessment&lt;/h4>T&lt;sub>1ρ&lt;/sub> parameters from thr</pubmed_abstract><journal>Journal of magnetic resonance imaging : JMRI</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12910345</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Detection of Early Knee Osteoarthritis Using Multi-Component T&amp;lt;sub&amp;gt;1ρ&amp;lt;/sub&amp;gt; Mapping.</pubmed_title><pmcid>PMC12910345</pmcid><funding_grant_id>R01-AR076985</funding_grant_id><funding_grant_id>R01 AR076328</funding_grant_id><funding_grant_id>R01 AR078308</funding_grant_id><funding_grant_id>P41 EB017183</funding_grant_id><funding_grant_id>R01-AR076328</funding_grant_id><funding_grant_id>R01-AR078308</funding_grant_id><funding_grant_id>R01 AR076985</funding_grant_id><pubmed_authors>Samuels J</pubmed_authors><pubmed_authors>de Moura HL</pubmed_authors><pubmed_authors>Regatte RR</pubmed_authors><pubmed_authors>Singh D</pubmed_authors><pubmed_authors>Zibetti MVW</pubmed_authors><pubmed_authors>Monga A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Detection of Early Knee Osteoarthritis Using Multi-Component T&amp;lt;sub&amp;gt;1ρ&amp;lt;/sub&amp;gt; Mapping.</name><description>&lt;h4>Background&lt;/h4>Early detection of knee osteoarthritis (OA) is important. Spin-lattice relaxation in the rotating frame (T&lt;sub>1ρ&lt;/sub>) mapping is sensitive to early cartilage changes, but the mono-exponential (ME) model may be limited. Multi-component models can capture more tissue complexity, but their diagnostic advantage has not been validated.&lt;h4>Purpose&lt;/h4>To evaluate if stretched- (SE) and bi-exponential (BE) T&lt;sub>1ρ&lt;/sub> models can improve early knee OA detection over the ME model.&lt;h4>Study type&lt;/h4>Case-control study.&lt;h4>Population&lt;/h4>Twenty-six healthy subjects (mean age 51.5) and 26 early knee OA patients (mean age 61.8).&lt;h4>Field strength/sequence&lt;/h4>T&lt;sub>1ρ&lt;/sub>-prepared Turbo FLASH sequence at 3 T field strength.&lt;h4>Assessment&lt;/h4>T&lt;sub>1ρ&lt;/sub> parameters from thr</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-07-16T03:17:03.904Z</modification><creation>2026-07-09T10:31:12.787Z</creation></dates><accession>S-EPMC12910345</accession><cross_references><pubmed>41473939</pubmed><doi>10.1002/jmri.70224</doi></cross_references></HashMap>