Effects of T 1p Characteristics of Load-Bearing Hip Cartilage on Bilateral Knee Patellar Cartilage Subregions: Subjects With None to Moderate Radiographic Hip Osteoarthritis
The polyarticular nature of Osteoarthritis (OA) tends to manifest in multi-joints. Associations between cartilage health in connected joints can help identify early degeneration and offer the potential for biomechanical intervention. Such associations between hip and knee cartilages remain understud...
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Published in | Journal of magnetic resonance imaging |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
13.09.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The polyarticular nature of Osteoarthritis (OA) tends to manifest in multi-joints. Associations between cartilage health in connected joints can help identify early degeneration and offer the potential for biomechanical intervention. Such associations between hip and knee cartilages remain understudied.
To investigate T
associations between hip-femoral and acetabular-cartilage subregions with Intra-limb and Inter-limb patellar cartilage; whole and deep-medial (DM), deep-lateral (DL), superficial-medial (SM), superficial-lateral (SL) subregions.
Prospective.
Twenty-eight subjects (age 55.1 ± 12.8 years, 15 females) with none-to-moderate hip-OA while no radiographic knee-OA.
3-T, bilateral hip, and knee: 3D-proton-density-fat-saturated (PDFS) Cube and Magnetization-Prepared-Angle-Modulated-Partitioned-k-Space-Spoiled-Gradient-Echo-Snapshots (MAPSS).
Ages of subjects were categorized into Group-1 (≤40), Group-2 (41-50), Group-3 (51-60), Group-4 (61-70), Group-5 (71-80), and Group-6 (≥81). Hip T
maps, co-registered to Cube, underwent an atlas-based algorithm to quantify femoral and acetabular subregional (R
-R
) cartilage T
. For knee Cube, a combination of V-Net architectures was used to segment the patellar cartilage and subregions (DM, DL, SM, SL). T
values were computed from co-registered MAPSS.
For Intra-and-Inter-limb, 5 optimum predictors out of 13 (Hip subregional T
, age group, gender) were selected by univariate linear-regression, to predict outcome (patellar T
). The top five predictors were stepwise added to six linear mixed-effect (LME) models. In all LME models, we assume the data come from the same subject sharing the same random effect. The best-performing models (LME-model
) selected via ANOVA, were tested with DM, SM, SL, and DL subregional-mean T
. LME assumptions were verified (normality of residuals, random-effects, and posterior-predictive-checks).
LME-model
(Intra-limb) had significant negative and positive fixed-effects of femoral-R
and acetabular-R
T
, respectively (conditional-R
= 0.581). LME-model
(Inter-limb) had significant positive fixed-effects of femoral-R
T
(conditional-R
= 0.26).
Significant positive and negative T
associations were identified between load-bearing hip cartilage-subregions vs. ipsilateral and contralateral patellar cartilages respectively. The effects were localized on medial subregions of Inter-limb, in particular.
1 TECHNICAL EFFICACY: Stage 1. |
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ISSN: | 1522-2586 |