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Principal Component Analysis of Simultaneous PET‐MRI Reveals Patterns of Bone–Cartilage Interactions in Osteoarthritis
Author(s) -
Tibrewala Radhika,
Pedoia Valentina,
Bucknor Matthew,
Majumdar Sharmila
Publication year - 2020
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.27146
Subject(s) - cartilage , osteoarthritis , tibia , femur , patella , medicine , pathology , magnetic resonance imaging , nuclear medicine , anatomy , radiology , surgery , alternative medicine
Background Bone–cartilage interactions have been implicated in causing osteoarthritis (OA). Purpose To use [ 18 F]‐NaF PET‐MRI to 1) develop automatic image processing code in MatLab to create a model of bone–cartilage interactions and 2) find associations of bone–cartilage interactions with known manifestations of OA. Study Type Prospective study aimed to evaluate a data analysis method. Population Twenty‐nine patients with knee pain or joint stiffness. Field Strength/Sequence 3T MRI (GE), 3D CUBE FSE, 3D combined T 1 ρ/T 2 MAPSS, [18F]‐sodium fluoride, SIGNA TOF (OSEM). Assessment Correlation between MRI (cartilage) and PET (bone) quantitative parameters, bone–cartilage interactions model described by modes of variation as derived by principal component analysis (PCA), WORMS scoring on cartilage lesions, bone marrow abnormalities, subchondral cysts. Statistical Tests Linear regression, Pearson correlation. Results Mode 1 was a positive predictor of the bone abnormality score ( P = 0.0003, P = 0.001, P = 0.0007) and the cartilage lesion score ( P = 0.03, P = 0.01, P = 0.02) in the femur, tibia, and patella, respectively. For the cartilage lesion scores, mode 5 was the most important positive predictor in the femur ( P = 3.9E‐06), and mode 2 were predictors, significant negative predictor in the tibia ( P = 0.007). In the patella, mode 1 was a significant positive predictor of the bone abnormality score ( P = 0.0007). Data Conclusion By successfully building an automatic code to create a bone–cartilage interface, we were able to observe dynamic relationships between biochemical changes in the cartilage accompanied with bone remodeling, extended to the whole knee joint instead of simple colocalized observations, shedding light on the interactions that occur between bone and cartilage in OA. Evidence Level: 3 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2020;52:1462–1474.