Journal of Orthopaedic Research®最新文献

{"title":"Issue Information - Cover","authors":"","doi":"10.1002/jor.25893","DOIUrl":"https://doi.org/10.1002/jor.25893","url":null,"abstract":"","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":"43 8","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jor.25893","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Issue Information - Editorial Board and TOC","authors":"","doi":"10.1002/jor.25892","DOIUrl":"https://doi.org/10.1002/jor.25892","url":null,"abstract":"","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":"43 8","pages":"1363-1366"},"PeriodicalIF":2.1,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jor.25892","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Osteoarthritis-Specific Anatomical Features and Gait Patterns on Medial Compartment Loading in the Presence of Ligament Laxity.","authors":"Miel Willems, Bryce A Killen, Sara Havashinezhadian, Katia Turcot, Ilse Jonkers","doi":"10.1002/jor.70012","DOIUrl":"https://doi.org/10.1002/jor.70012","url":null,"abstract":"<p><p>Structural changes in ligaments, particularly reduced stiffness, contribute to increased knee joint laxity in osteoarthritis (OA) patients. In silico modeling offers a valuable method to systematically assess how OA-related ligament alterations affect knee kinematics and contact mechanics. Understanding these effects requires considering OA-specific variations in joint geometry, alignment, and gait patterns. A previously developed musculoskeletal modeling workflow was used to incorporate common KOA-related anatomical variations and gait pattern variations. A probabilistic simulation approach assessed the impact of ligament-induced joint laxity on medial compartment loading. Ligament stiffness and reference strains were modeled as independent Gaussian distributions, centered at nominal model stiffness (-20%) and slack length (+20%), with standard deviations set at 5% based on literature-reported values. Increased medial compartment loading at the second peak occurred when posterior tibial translation and external tibial rotation were combined with either: (1) a gait pattern involving decreased ankle dorsiflexion and hip external rotation, increased foot eversion, and knee extension, or (2) a gait pattern with increased lumbar extension, trunk ipsilateral side bending, hip internal rotation, and knee internal rotation. These conditions also resulted in the largest shift in the center of pressure. While both anatomical variations and gait patterns influence knee joint loading, ligament stability plays a key role in determining medial compartment loading magnitude and location. These findings highlight the need to monitor ligament constraints in rehabilitation and computational models to develop personalized interventions that minimize excessive joint stress and slow disease progression.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144626577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Machine Learning Approach to Microcalorimetric Pattern Classification of Pathogens in Synovial Fluid.","authors":"Manuel Lozano-García, Luis Estrada-Petrocelli, Roger Rosselló Román, Raimon Jané, Andrej Trampuz, Christian Morgenstern","doi":"10.1002/jor.70024","DOIUrl":"https://doi.org/10.1002/jor.70024","url":null,"abstract":"<p><p>Isothermal microcalorimetry (IMC) is a promising tool for diagnosing periprosthetic joint infection (PJI), based on real-time measurement of growth-related heat production of pathogens, and faster than conventional microbial cultures. However, the feasibility of identifying specific pathogens in clinical samples using IMC has yet to be proven. This study implements machine learning and transfer learning convolutional neural network (CNN) models to detect and identify pathogens causing PJI, using IMC data alone. IMC data were obtained from synovial fluid samples, including 174 aseptic samples and 239 PJI samples containing five different bacterial strains. XGBoost, multi-layer perceptron, support vector machine, random forest, and three transfer learning CNN models were implemented to detect PJI and identify five bacterial strains in PJI samples. The binary XGBoost classifier yielded a 100% accuracy in PJI detection, whereas the multiclass XGBoost classifier and the combined transfer learning CNN classifier reached an overall accuracy of 90.3% and 91.5%, respectively, in PJI identification, with biological significance of extracted features in the XGBoost model facilitating its interpretability and usage in clinical practice. The strain with the lowest recall (83.3%) was PA, whereas SE was the strain with the lowest precision (78.9%). The results demonstrate the feasibility of automatic detection and identification of pathogens causing PJI using their IMC growth patterns and machine learning models. This adds a critical missing feature to IMC, contributing to accelerating the diagnosis of PJI and the selection of antibiotic therapy.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144618676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.","authors":"Toru Moro, Noriko Yoshimura, Taku Saito, Hiroyuki Oka, Sigeyuki Muraki, Toshiko Iidaka, Takeyuki Tanaka, Kumiko Ono, Hisatoshi Ishikura, Naoya Wada, Kenichi Watanabe, Masayuki Kyomoto, Sakae Tanaka","doi":"10.1002/jor.70000","DOIUrl":"https://doi.org/10.1002/jor.70000","url":null,"abstract":"<p><p>The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent societal issues. We developed an artificial intelligence-assisted diagnostic system that estimated not only lumbar bone mineral density but also femoral bone mineral density from anteroposterior lumbar X-ray images. We evaluated the performance of lumbar and femoral bone mineral density estimations and the osteoporosis classification accuracy of an artificial intelligence-assisted diagnostic system using lumbar X-ray images from a population-based cohort. The artificial neural network consisted of a deep neural network for estimating lumbar and femoral bone mineral density values and classifying lumbar X-ray images into osteoporosis categories. The deep neural network was built by training dual-energy X-ray absorptiometry-derived lumbar and femoral bone mineral density values as the ground truth of the training data and preprocessed X-ray images. Five-fold cross-validation was performed to evaluate the accuracy of the estimated BMD. A total of 1454 X-ray images from 1454 participants were analyzed using the artificial neural network. For the bone mineral density estimation performance, the mean absolute errors were 0.076 g/cm² for the lumbar and 0.071 g/cm² for the femur between dual-energy X-ray absorptiometry-derived and artificial intelligence-estimated bone mineral density values. The classification performances for the lumbar and femur of patients with osteopenia, in terms of sensitivity, were 86.4% and 80.4%, respectively, and the respective specificities were 84.1% and 76.3%. CLINICAL SIGNIFICANCE: The system was able to estimate the bone mineral density and classify the osteoporosis category of not only patients in clinics or hospitals but also of general inhabitants.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence-Assisted Standard Plane Detection in Hip Ultrasound for Developmental Dysplasia of the Hip: A Novel Real-Time Deep Learning Approach.","authors":"Muhammed Furkan Darilmaz, Mehmet Demirel, Hüseyin Oktay Altun, Mevlüt Can Adiyaman, Fuat Bilgili, Hayati Durmaz, Yavuz Sağlam","doi":"10.1002/jor.70020","DOIUrl":"https://doi.org/10.1002/jor.70020","url":null,"abstract":"<p><p>Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joint development. Early diagnosis is essential to prevent long-term complications. Ultrasound, particularly the Graf method, is commonly used for DDH screening, but its interpretation is highly operator-dependent and lacks standardization, especially in identifying the correct standard plane. This variability often leads to misdiagnosis, particularly among less experienced users. This study presents AI-SPS, an AI-based instant standard plane detection software for real-time hip ultrasound analysis. Using 2,737 annotated frames, including 1,737 standard and 1,000 non-standard examples extracted from 45 clinical ultrasound videos, we trained and evaluated two object detection models: SSD-MobileNet V2 and YOLOv11n. The software was further validated on an independent set of 934 additional frames (347 standard and 587 non-standard) from the same video sources. YOLOv11n achieved an accuracy of 86.3%, precision of 0.78, recall of 0.88, and F1-score of 0.83, outperforming SSD-MobileNet V2, which reached an accuracy of 75.2%. These results indicate that AI-SPS can detect the standard plane with expert-level performance and improve consistency in DDH screening. By reducing operator variability, the software supports more reliable ultrasound assessments. Integration with live systems and Graf typing may enable a fully automated DDH diagnostic workflow. Level of Evidence: Level III, diagnostic study.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144575700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estrogen and Progesterone Exhibit Distinct Yet Coordinated Roles in the Regulation of Tendon Extracellular Matrix Remodeling.","authors":"Allison M Sander, Brianne K Connizzo","doi":"10.1002/jor.70018","DOIUrl":"10.1002/jor.70018","url":null,"abstract":"<p><p>Remodeling of the extracellular matrix (ECM) is required for the proper healing, strengthening, and maintenance of tendon tissue. There are well-documented sex differences in tendon injury rates and healing outcomes, often attributed to either innate differences in tissue structure and resident cell signaling or the influence of sex hormones. However, these factors are rarely decoupled. Estrogen (17β-estradiol) and progesterone (P4) receptors are expressed in both male and female tendons and thus could participate in the remodeling process, but studies are extremely limited. Therefore, the objective of this study was to address whether biological sex differences are present in tendon remodeling and to determine the individual and combined roles of estrogen and progesterone in the remodeling process. We capitalized on a three-dimensional explant model to directly examine hormone-mediated ECM turnover without disruption to the native cell microenvironment. Flexor digitorum longus tendon explants harvested from mature male and female mice were stimulated continuously with chemically endogenous hormones for 1 week, after which we examined synthesis and degradation of matrix components as well as overall tissue composition. We found sex differences in the absence of hormonal stimulation, indicating a chromosomal influence to observed functional sex differences. We also demonstrate that the response to exogenous hormone delivery is sex-dependent, and that progesterone and estrogen serve complementary yet independent roles. Overall, this study demonstrates the importance of hormones in the regulation of tissue structure and function and underscores the critical need for additional research in this area.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144567534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Dynamic Joint Space During Physiological Loading to Objectively Measure Hip Stability.","authors":"Edward Godbold, Connor Luck, Camille Johnson, Ashley Disantis, Craig Mauro, Michael McClincy, William Anderst","doi":"10.1002/jor.70011","DOIUrl":"https://doi.org/10.1002/jor.70011","url":null,"abstract":"<p><p>An objective measurement of hip stability during functional loading is needed to improve diagnosis, guide treatment decisions, and evaluate intervention success. This study aimed to develop a reference measurement for stable hips based upon dynamic minimum hip joint space (HJS) in healthy young adults. Synchronized biplane radiographs of the hips of 24 healthy young adults were collected (50 images/s) during treadmill walking and squatting. Subject-specific femur and pelvis models were created from CT scans, and bone motion was determined by a validated volumetric model-based tracking technique. The distance between femur and acetabulum subchondral bone surfaces was calculated during each movement. Range in minimum subchondral bone distance was measured in radial and sagittal regions of the acetabula. Regression analysis identified kinematics and morphologic predictors of range in minimum HJS. Range in minimum HJS during gait in the anterior-inferior (1.8 mm) and posterior-superior regions (1.7 mm) was 31%-38% larger than in the anterior-superior and superior regions (1.3 mm; p ≤ 0.001), and 13%-20% larger than in the posterior-inferior region (1.5 mm; p ≤ 0.001). No differences in minimum HJS were identified in radial regions during squat (range: 0.7-0.9 mm). No sex differences were identified. Femur head translation during gait was a stronger predictor of the range in minimum HJS than changes in femur head morphology. This suggests anterior-inferior to posterior-superior pistoning of the femur may be a mechanical mechanism for commonly observed pathology. These results suggest that gait is a better activity than squatting to assess dynamic hip stability when using this metric.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synovial Dysregulation in Ankle Osteoarthritis: Molecular Insights and Pathogenetic Pathways.","authors":"Julia Matthias, Sara Buckley, Michael David, Cheryl L Ackert-Bicknell, Joshua A Metzl, Daniel K Moon, Courtney Miller, Michael J Zuscik, Kenneth J Hunt","doi":"10.1002/jor.70016","DOIUrl":"https://doi.org/10.1002/jor.70016","url":null,"abstract":"<p><p>Osteoarthritis of the ankle is a debilitating condition affecting nearly 20% of adults in the United States. The tissue, cellular, and molecular basis of this disease remains poorly understood, particularly the role of the synovial membrane. This prospective case-control study examined the gene expression profile of synovial tissue in ankle osteoarthritis to uncover biological pathways altered in the disease. Synovial biopsies were obtained from twenty-six patients with ankle osteoarthritis undergoing joint replacement and eight patients with minimal or no evidence of osteoarthritis. Bulk RNA-sequencing and differential gene expression analysis were performed, followed by biological pathway enrichment, unsupervised cluster, and network-based analysis. Synovium from ankle osteoarthritis patients showed distinct gene expression patterns compared to controls, with enrichment in pathways related to extracellular matrix remodeling and tissue morphogenesis. Age and a prior history of ankle fracture were identified as significant factors influencing the transcriptomic profile of osteoarthritic synovium. After accounting for these variables, transcriptomic clustering perfectly distinguished osteoarthritic from non-osteoarthritic synovium and revealed upregulation of pathways involved in muscle development, neural signaling, immune response, and carbohydrate metabolism. Conversely, pathways related to ribosome production, protein synthesis, and cellular signaling were downregulated. Multiple WNT signaling pathways remained significantly enriched in osteoarthritic ankle synovium. This study identifies a distinct gene expression profile in the synovium of ankle osteoarthritis patients, highlighting key molecular pathways possibly involved in disease progression. These findings provide valuable insights into the molecular mechanisms driving ankle osteoarthritis and have the potential to inform the development of novel targeted therapeutic strategies.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chitosan/Platelet-Rich Plasma Implants in an Ovine Arthroscopic Model of Meniscus Repair.","authors":"Margaux Delvaux, Anik Chevrier, Sotcheadt Sim, Éric Quenneville, Mark B Hurtig, Gregory De Crescenzo, Marc Lavertu","doi":"10.1002/jor.70014","DOIUrl":"https://doi.org/10.1002/jor.70014","url":null,"abstract":"<p><p>Despite the availability of various repair techniques, many meniscal tears remain irreparable. A freeze-dried chitosan-based formulation reconstituted in autologous platelet-rich plasma has shown potential in preclinical studies for enhancing suture-based meniscus repair. This study aimed at developing a fully arthroscopic ovine model of meniscus repair and evaluating chitosan/platelet-rich plasma's efficacy and safety as an augmentation strategy for suture-based meniscus repair. Unilateral radial lesions were induced in the medial menisci mid-body of 22 skeletally mature ewes. Tears were sutured inside-out. Two groups received a chitosan/platelet-rich plasma injection into the sutured lesions (0.5 or 1 mL doses, n = 6/group), while one group received a 1 mL autologous platelet-rich plasma injection (n = 5). The control group was only sutured (n = 5). A multiaxial mechanical tester and a hand-held probe were used respectively for mechanical (menisci and articular cartilages) and electromechanical testing (articular cartilages). All surfaces were then histologically assessed. Chitosan/platelet-rich plasma was resident in tears at 1 day and induced polymorphonuclear cell recruitment (assessed in n = 2 sheep). All operated joints developed signs of osteoarthritis compared to contralateral unoperated joints, with some of them displaying severe structural and functional changes. Instantaneous modulus properties and structural appearance of menisci and articular surfaces from chitosan/platelet-rich plasma treated groups were better than those of the other groups at 6 months postsurgery. Clinical pathology data were similar at baseline and at terminal in all groups, which suggests high safety. Chitosan/platelet-rich plasma implants helped limit cartilaginous degradation in joints with radially incised and sutured medial menisci and show promise as a treatment for meniscal tears.</p>","PeriodicalId":16650,"journal":{"name":"Journal of Orthopaedic Research®","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}