Determining the Relationship between Mechanical Properties and Quantitative Magnetic Resonance Imaging of Joint Soft Tissues Using Patient-Specific Templates.
Takehito HananouchiShinji SatakeKei SakaoHiroshi KatsudaNagakazu ShimadaErik W DortheDarryl D D'LimaPublished in: Bioengineering (Basel, Switzerland) (2023)
To determine whether the mechanical properties of joint soft tissues such as cartilage can be calculated from quantitative magnetic resonance imaging (MRI) data, we investigated whether the mechanical properties of articular cartilage and meniscus scheduled to be resected during arthroplasty are correlated with the T2 relaxation time on quantitative MRI at the same location. Six patients who had undergone knee arthroplasty and seven who had undergone hip arthroplasty were examined. For the knee joint, the articular cartilage and lateral meniscus of the distal lateral condyle of the femur and proximal lateral tibia were examined, while for the hip joint, the articular cartilage above the femoral head was studied. We investigated the relationship between T2 relaxation time by quantitative MRI and stiffness using a hand-made compression tester at 235 locations. The patient-individualized template technique was used to align the two measurement sites. The results showed a negative correlation (from -0.30 to -0.35) in the less severely damaged articular cartilage and meniscus. This indicates that tissue mechanical properties can be calculated from T2 relaxation time, suggesting that quantitative MRI is useful in determining when to start loading after interventional surgery on cartilage tissue and in managing the health of elderly patients.
Keyphrases
- magnetic resonance imaging
- contrast enhanced
- minimally invasive
- high resolution
- diffusion weighted imaging
- computed tomography
- gene expression
- healthcare
- magnetic resonance
- single molecule
- lymph node
- mental health
- case report
- extracellular matrix
- mass spectrometry
- atomic force microscopy
- health information
- atrial fibrillation
- postmenopausal women
- liquid chromatography
- data analysis
- solid phase extraction