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Dataset Information

Detection of Early Knee Osteoarthritis Using Multi-Component T<sub>1ρ</sub> Mapping.


ABSTRACT:

Background

Early detection of knee osteoarthritis (OA) is important. Spin-lattice relaxation in the rotating frame (T1ρ) 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.

Purpose

To evaluate if stretched- (SE) and bi-exponential (BE) T1ρ models can improve early knee OA detection over the ME model.

Study type

Case-control study.

Population

Twenty-six healthy subjects (mean age 51.5) and 26 early knee OA patients (mean age 61.8).

Field strength/sequence

T1ρ-prepared Turbo FLASH sequence at 3 T field strength.

Assessment

T1ρ parameters from thr

SUBMITTER: de Moura HL 

PROVIDER: S-EPMC12910345 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature

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