A few studies have reported correlations between structural and functional parameters in healthy knees, and sometimes alterations of these correlations with OA. These observations suggested a new concept where knee OA could be related to a maladaptation between joint features. However, studies analyzing multiple features from different domains simultaneously are missing, which makes it difficult to fully understand the importance of relationships in maintaining joint homeostasis and their role in the development of OA. To assess the correlations among cartilage thickness (CTh), subchondral bone mineral density (sBMD), and ambulatory loading in non-OA femoral condyles. As commonly done, ambulatory loading was quantified using the peak knee adduction moment during walking (pKAM), which is a proxy for the distribution of load between medial and lateral compartments. To analyze comparable data, CTh and sBMD were expressed as medial-to-lateral (M/L) ratios. Therefore, this study tested the hypothesis that CTh M/L ratios, sBMD M/L ratios, and pKAM are positively correlated in non-OA femoral condyles. This study analyzed a subgroup of 48 young (25.7 ± 4.8 years; 22 males) asymptomatic volunteers with healthy knees enrolled in the HIPPA-compliant IRB-approved Lausanne Knee Study. This study aims at characterizing the structure and function of the knee, with a particular emphasis on the relationships among knee features The study protocol included clinical evaluation, radiographic imaging (weight-bearing Schuss and lateral radiographs of both knees), CT imaging (calibrated by a solid calcium hydroxyapatite-based bone mineral reference phantom) and 3T MRI of one randomly selected knee. 3D gait recordings were performed using a 16-camera motion capture system and force plates. CTh was obtained by manually segmenting the cartilage and bone on the DESS images, building 3D mesh models of bone and cartilage, and calculating the distance between the models. sBMD was obtained by registering the bone models from the DESS segmentation to the CT images and calculating the average CT intensity in the 3 mm of bone adjacent to cartilage. Mean CTh and sBMD were then calculated for six common regions of interest (ROIs) in the medial and lateral condyles and expressed as M/L ratios. pKAM was obtained following a standard inverse dynamics procedure applied to the marker-based motion capture and force plate recordings. Data processing was done using in-house software and algorithms previously validated. The relationship among CTh M/L ratios, sBMD M/L ratios and pKAM were assessed using Pearson correlation, with an α-level set a priori at 5%. All statistically significant correlations were positive, indicating larger CTh M/L ratios in knees with larger sBMD M/L ratios and larger pKAM, and vice versa. Specifically, CTh and sBMD M/L ratios were correlated in 5 of the 6 ROIs (0.31 ≤ r ≤ 0.53; 0.001 ≤ p ≤ 0.035), CTh M/L ratios in 4 ROIs were correlated with pKAM (0.29 ≤ r ≤ 0.33; 0.021 ≤ p ≤ 0.047), and sBMD M/L ratio in one ROI was correlated with pKAM (r = 0.31; p = 0.032). The hypothesis was supported, confirming the idea that structural and mechanical features of the knee are positively correlated, or adapted, in non-OA knees. This first study to show correlations among bone, cartilage, and mechanical loading provided insight into the functioning of the joint and underlined the potential of evaluating knee health based on relationships among features rather than on individual features in isolation. The analyses in this study will be extended to OA knees in future studies in order to determine the alterations of the relationships between knee features with OA.
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