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Effects of T 1p Characteristics of Load-Bearing Hip Cartilage on Bilateral Knee Patellar Cartilage Subregions: Subjects With None to Moderate Radiographic Hip Osteoarthritis.
- Source :
-
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2024 Jul; Vol. 60 (1), pp. 186-202. Date of Electronic Publication: 2023 Sep 13. - Publication Year :
- 2024
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Abstract
- Background: 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.<br />Purpose: To investigate T <subscript>1p</subscript> 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.<br />Study Type: Prospective.<br />Subjects: Twenty-eight subjects (age 55.1 ± 12.8 years, 15 females) with none-to-moderate hip-OA while no radiographic knee-OA.<br />Field Strength/sequence: 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).<br />Assessment: 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 <subscript>1p</subscript> maps, co-registered to Cube, underwent an atlas-based algorithm to quantify femoral and acetabular subregional (R <subscript>2</subscript> -R <subscript>7</subscript> ) cartilage T <subscript>1p</subscript> . For knee Cube, a combination of V-Net architectures was used to segment the patellar cartilage and subregions (DM, DL, SM, SL). T <subscript>1p</subscript> values were computed from co-registered MAPSS.<br />Statistical Tests: For Intra-and-Inter-limb, 5 optimum predictors out of 13 (Hip subregional T <subscript>1p</subscript> , age group, gender) were selected by univariate linear-regression, to predict outcome (patellar T <subscript>1p</subscript> ). 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 <subscript>best</subscript> ) selected via ANOVA, were tested with DM, SM, SL, and DL subregional-mean T <subscript>1p</subscript> . LME assumptions were verified (normality of residuals, random-effects, and posterior-predictive-checks).<br />Results: LME-model <subscript>best</subscript> (Intra-limb) had significant negative and positive fixed-effects of femoral-R <subscript>5</subscript> and acetabular-R <subscript>2</subscript> T <subscript>1p</subscript> , respectively (conditional-R <superscript>2</superscript> = 0.581). LME-model <subscript>best</subscript> (Inter-limb) had significant positive fixed-effects of femoral-R <subscript>3</subscript> T <subscript>1p</subscript> (conditional-R <superscript>2</superscript> = 0.26).<br />Data Conclusion: Significant positive and negative T <subscript>1p</subscript> 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.<br />Evidence Level: 1 TECHNICAL EFFICACY: Stage 1.<br /> (© 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
- Subjects :
- Humans
Female
Male
Middle Aged
Prospective Studies
Aged
Adult
Patella diagnostic imaging
Knee Joint diagnostic imaging
Osteoarthritis, Knee diagnostic imaging
Hip Joint diagnostic imaging
Cartilage, Articular diagnostic imaging
Osteoarthritis, Hip diagnostic imaging
Magnetic Resonance Imaging methods
Weight-Bearing
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2586
- Volume :
- 60
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of magnetic resonance imaging : JMRI
- Publication Type :
- Academic Journal
- Accession number :
- 37702305
- Full Text :
- https://doi.org/10.1002/jmri.29009