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Michaud A, Koskoletos C, Patterson BE, Crossley KM, Birmingham TB, Culvenor AG, Hart HF. Longitudinal changes in adiposity following anterior cruciate ligament reconstruction and associations with knee symptoms and function. OSTEOARTHRITIS AND CARTILAGE OPEN 2024; 6:100473. [PMID: 38737984 PMCID: PMC11088183 DOI: 10.1016/j.ocarto.2024.100473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 04/17/2024] [Accepted: 04/19/2024] [Indexed: 05/14/2024] Open
Abstract
Objective To evaluate adiposity after anterior cruciate ligament reconstruction (ACLR): i) cross-sectionally (1-year post-ACLR) compared to uninjured controls; ii) longitudinally up to 5 years post-ACLR; and iii) associations with patient-reported symptoms and physical performance. Methods In 107 individuals post-ACLR and 19 controls, we assessed global (BMI), peripheral (subcutaneous adipose tissue thickness on the posteromedial side of knee MRI), and central (waist circumference in ACLR group) adiposity. Patient-reported symptoms (Knee injury and Osteoarthritis Outcome Score) and physical performance (hop for distance) were evaluated at 1 and 5 years post-ACLR. Linear regression models evaluated adiposity between groups. Paired t-tests evaluated changes in adiposity from 1- to 5 years post-ACLR. Linear regression models analyzed adiposity's associations with patient-reported symptoms and physical performance at 1-year post-ACLR, changes in symptoms and performance over 4 years post-ACLR, and longitudinal changes in adiposity and symptoms and performance, controlling for age, sex, and activity level. Results Individuals 1-year post-ACLR were associated with higher average global (3 kg/m2) and peripheral adiposity (2.3 mm). From 1- to 5 years post-ACLR, higher average global (0.58 kg/m2) and central (5 cm) adiposity, and lower average peripheral adiposity (1.3 mm) were observed. In general, adiposity at one-year post-ACLR was negatively associated with patient-reported symptoms and physical performance, and changes from 1 to 5 years post-ACLR. Increases in adiposity were negatively associated with changes in patient-reported symptoms and physical performance over four years post-ACLR. Conclusion Greater global and central adiposity is a feature of young adults following ACLR and influences current and future patient-reported symptoms and physical performance.
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Affiliation(s)
- Amélie Michaud
- Action Sport Physio, Sherbrooke, Canada
- School of Physical Therapy, Western University, London, Canada
| | - Chris Koskoletos
- Rewind Physio, Embrun, Ontario, Canada
- School of Physical Therapy, Western University, London, Canada
| | - Brooke E. Patterson
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia
| | - Kay M. Crossley
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia
| | | | - Adam G. Culvenor
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia
| | - Harvi F. Hart
- La Trobe Sport and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia
- School of Physical Therapy, Western University, London, Canada
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Löffler MT, Ngarmsrikam C, Giesler P, Joseph GB, Akkaya Z, Lynch JA, Lane NE, Nevitt M, McCulloch CE, Link TM. Effect of weight loss on knee joint synovitis over 48 months and mediation by subcutaneous fat around the knee: data from the Osteoarthritis Initiative. BMC Musculoskelet Disord 2024; 25:300. [PMID: 38627635 PMCID: PMC11022396 DOI: 10.1186/s12891-024-07397-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 03/29/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Obesity influences the development of osteoarthritis via low-grade inflammation. Progression of local inflammation (= synovitis) increased with weight gain in overweight and obese women compared to stable weight. Synovitis could be associated with subcutaneous fat (SCF) around the knee. Purpose of the study was to investigate the effect of weight loss on synovitis progression and to assess whether SCF around the knee mediates the relationship between weight loss and synovitis progression. METHODS We included 234 overweight and obese participants (body mass index [BMI] ≥ 25 kg/m2) from the Osteoarthritis Initiative (OAI) with > 10% weight loss (n = 117) or stable overweight (< ± 3% change, n = 117) over 48 months matched for age and sex. In magnetic resonance imaging (MRI) at baseline and 48 months, effusion-synovitis and Hoffa-synovitis using the MRI Osteoarthritis Knee Score (MOAKS) and average joint-adjacent SCF (ajSCF) were assessed. Odds-ratios (ORs) for synovitis progression over 48 months (≥ 1 score increase) were calculated in logistic regression models adjusting for age, sex, baseline BMI, Physical Activity Scale for the Elderly (PASE), and baseline SCF measurements. Mediation of the effect of weight loss on synovitis progression by local SCF change was assessed. RESULTS Odds for effusion-synovitis progression decreased with weight loss and ajSCF decrease (odds ratio [OR] = 0.61 and 0.56 per standard deviation [SD] change, 95% confidence interval [CI] 0.44, 0.83 and 0.40, 0.79, p = 0.002 and 0.001, respectively), whereas odds for Hoffa-synovitis progression increased with weight loss and ajSCF decrease (OR = 1.47 and 1.48, CI 1.05, 2.04 and 1.02, 2.13, p = 0.024 and 0.038, respectively). AjSCF decrease mediated 39% of the effect of weight loss on effusion-synovitis progression. CONCLUSIONS Effusion-synovitis progression was slowed by weight loss and decrease in local subcutaneous fat. Hoffa-synovitis characterized by fluid in the infrapatellar fat pad increased at the same time, suggesting a decreasing fat pad rather than active synovitis. Decrease in local subcutaneous fat partially mediated the systemic effect of weight loss on synovitis.
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Affiliation(s)
- Maximilian T Löffler
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA.
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany.
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany.
| | - Chotigar Ngarmsrikam
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
| | - Paula Giesler
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
- Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Freiburg, Germany
| | - Gabby B Joseph
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
| | - Zehra Akkaya
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
- Department of Radiology, Ankara University Faculty of Medicine, Ankara, Turkey
| | - John A Lynch
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
| | - Nancy E Lane
- Department of Medicine and Center for Musculoskeletal Health, University of California, Davis, Sacramento, CA, USA
| | - Michael Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Charles E McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St, Suite 350, Lobby 6, San Francisco, CA, 94143, USA
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Wirth W. Joint-adjacent subcutaneous adipose tissue - An obesity-related imaging biomarker associated with structural osteoarthritis progression? Osteoarthritis Cartilage 2023; 31:1420-1422. [PMID: 37597653 DOI: 10.1016/j.joca.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/10/2023] [Indexed: 08/21/2023]
Affiliation(s)
- Wolfgang Wirth
- Department for Imaging and Functional Musculoskeletal Research, Institute of Anatomy and Cell Biology, Paracelsus Medical University Salzburg and Nuremberg, Salzburg, Austria; Ludwig Boltzmann Institute for Arthritis and Rehabilitation, Paracelsus Medical University Salzburg and Nuremberg, Salzburg, Austria; Chondrometrics GmbH, Freilassing, Germany.
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Joseph GB, Takakusagi M, Arcilla G, Lynch JA, Pedoia V, Majumdar S, Lane NE, Nevitt MC, McCulloch CE, Link TM. Associations between weight change, knee subcutaneous fat and cartilage thickness in overweight and obese individuals: 4-Year data from the osteoarthritis initiative. Osteoarthritis Cartilage 2023; 31:1515-1523. [PMID: 37574110 PMCID: PMC10848315 DOI: 10.1016/j.joca.2023.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 06/16/2023] [Accepted: 07/06/2023] [Indexed: 08/15/2023]
Abstract
OBJECTIVE To assess (i) the impact of changes in body weight on changes in joint-adjacent subcutaneous fat (SCF) and cartilage thickness over 4 years and (ii) the relation between changes in joint-adjacent SCF and knee cartilage thickness. DESIGN Individuals from the Osteoarthritis Initiative (total=399) with > 10% weight gain (n=100) and > 10% weight loss (n=100) over 4 years were compared to a matched control cohort with less than 3% change in weight (n=199). 3.0T Magnetic Resonance Imaging (MRI) of the right knee was performed at baseline and after 4 years to quantify joint-adjacent SCF and cartilage thickness. Linear regression models were used to evaluate the associations between the (i) weight change group and 4-year changes in both knee SCF and cartilage thickness, and (ii) 4-year changes in knee SCF and in cartilage thickness. Analyses were adjusted for age, sex, baseline body mass index (BMI), tibial diameter (and weight change group in analysis (ii)). RESULTS Individuals who lost weight over 4-years had significantly less joint-adjacent SCF (beta range, medial/lateral joint sides: 2.2-4.2 mm, p < 0.001) than controls; individuals who gained weight had significantly greater joint-adjacent SCF than controls (beta range: -1.4 to -3.9 mm, p < 0.001). No statistically significant associations were found between weight change and cartilage thickness change. However, increases in joint-adjacent SCF over 4 years were significantly associated with decreases in cartilage thickness (p = 0.04). CONCLUSIONS Weight change was associated with joint-adjacent SCF, but not with change in cartilage thickness. However, 4-year increases in joint-adjacent SCF were associated with decreases in cartilage thickness independent of baseline BMI and weight change group.
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Affiliation(s)
- Gabby B Joseph
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States.
| | - Melia Takakusagi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Gino Arcilla
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - John A Lynch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States
| | - Valentina Pedoia
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Sharmila Majumdar
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
| | - Nancy E Lane
- Department of Rheumatology, University of California, Davis, United States
| | - Michael C Nevitt
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States
| | - Charles E McCulloch
- Department of Epidemiology and Biostatistics, University of California, San Francisco, United States
| | - Thomas M Link
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States
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Demehri S, Kasaeian A, Roemer FW, Guermazi A. Osteoarthritis Year in Review 2022: Imaging. Osteoarthritis Cartilage 2023:S1063-4584(23)00726-4. [PMID: 36924919 DOI: 10.1016/j.joca.2023.03.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/17/2023] [Accepted: 03/08/2023] [Indexed: 03/18/2023]
Abstract
PURPOSE This narrative review summarizes original research focusing on imaging in osteoarthritis (OA) published between April 1st 2021 and March 31st 2022. We only considered English publications that were in vivo human studies. METHODS The PubMed, Medline, Embase, Scopus, and ISI Web of Science databases were searched for "Osteoarthritis/OA" studies based on the search terms: "Radiography", "Ultrasound/US", "Computed Tomography/CT", "DXA", "Magnetic Resonance Imaging/MRI", "Artificial Intelligence/AI", and "Deep Learning". This review highlights the anatomical focus of research on the structures within the tibiofemoral, patellofemoral, hip, and hand joints. There is also a noted focus on artificial intelligence applications in OA imaging. RESULTS Over the last decade, the increasing trend of using open-access large databases has reached a plateau (from 17 to 37). Compositional MRI has had the most prominent use in OA imaging and its biomarkers have been used in the detection of preclinical OA and prediction of OA outcomes. Most noteworthy, there has been an accelerated rate of publications on the implications of artificial intelligence, used in developing prediction models and performing trabecular texture analysis, in OA imaging (from 17 to 154). CONCLUSIONS While imaging has maintained its key role in OA research, publication trends have shown an emphasis on the integration of AI. During the past year, MRI has maintained the highest prevalence in usage while US and CT remain as readily available modalities. Finally, there has been a notable uptake in the development and validation of AI techniques used to perform texture analysis and predict OA progression.
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Affiliation(s)
- Shadpour Demehri
- Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Arta Kasaeian
- Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
| | - Frank W Roemer
- Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA; Department of Radiology, Universitätsklinikum Erlangen & Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
| | - Ali Guermazi
- Department of Radiology, Boston University School of Medicine, Boston, Massachusetts, USA.
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Oei EHG, Hirvasniemi J, van Zadelhoff TA, van der Heijden RA. Osteoarthritis year in review 2021: imaging. Osteoarthritis Cartilage 2022; 30:226-236. [PMID: 34838670 DOI: 10.1016/j.joca.2021.11.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 10/16/2021] [Accepted: 11/11/2021] [Indexed: 02/02/2023]
Abstract
PURPOSE To provide a narrative review of original articles on imaging of osteoarthritis (OA) published between January 1, 2020 and March 31, 2021, with a special focus on imaging of inflammation, imaging of bone, cartilage and bone-cartilage interactions, imaging of peri-articular tissues, imaging scoring methods for OA, and artificial intelligence (AI) applied to OA imaging. METHODS The Embase, Pubmed, Medline, Cochrane databases were searched for original research articles in the English language on human, in vivo, imaging of OA published between January 1, 2020 and March 31, 2021. Search terms related to osteoarthritis combined with all imaging modalities and artificial intelligence were applied. A selection of articles reporting on one of the focus topics was discussed further. RESULTS The search resulted in 651 articles, of which 214 were deemed relevant to human OA imaging. Among the articles included, the knee joint (69%) and magnetic resonance imaging (MRI) (52%) were the predominant anatomical area and imaging modality studied. There were also a substantial number of papers (n = 46) reporting on AI applications in the field of OA imaging. CONCLUSION Imaging continues to play an important role in the assessment of OA. Recent advances in OA imaging include quantitative, non-contrast, and hybrid imaging techniques for improved characterization of multiple tissue processes in OA. In addition, an increasing effort in AI techniques is undertaken to enhance OA imaging acquisition and analysis.
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Affiliation(s)
- E H G Oei
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - J Hirvasniemi
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - T A van Zadelhoff
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
| | - R A van der Heijden
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD Rotterdam, the Netherlands.
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