Osteoarthritis imaging最新文献

{"title":"Radiomic features of infrapatellar fat pad are associated with knee symptoms and radiographic post-traumatic osteoarthritis at 10+ years after anterior cruciate ligament reconstruction","authors":"Sameed Khan ,&nbsp;Richard Lartey ,&nbsp;Nancy Obuchowski ,&nbsp;Sibaji Gaj ,&nbsp;Jeehun Kim ,&nbsp;Mei Li ,&nbsp;Brendan Eck ,&nbsp;Faysal Altahawi ,&nbsp;Morgan H. Jones ,&nbsp;Laura Huston ,&nbsp;Kevin Harkins ,&nbsp;Michael Knopp ,&nbsp;Christopher Kaeding ,&nbsp;Carl Winalski ,&nbsp;Kurt Spindler ,&nbsp;Xiaojuan Li","doi":"10.1016/j.ostima.2025.100263","DOIUrl":"10.1016/j.ostima.2025.100263","url":null,"abstract":"<div><h3>Objective</h3><div>The infrapatellar fat pad (IPFP) has been identified as a potential agent in joint degeneration leading to post-traumatic osteoarthritis (PTOA) in patients suffering from anterior cruciate ligament (ACL) injury. We leveraged machine learning and radiomics methods on knee MRI taken at ten-year follow-up post-ACL reconstruction to associate IPFP with knee symptoms and radiographic PTOA.</div></div><div><h3>Design</h3><div>In this cross-sectional study, the multi-site NIH-funded MOON nested Onsite cohort was followed up at ten years to obtain 3D MRI radiomics and patient-reported outcome measures (PROM). We identified the features with two radiomics-based classifiers that can detect, respectively, knee symptoms based on PROM data or radiographic PTOA based on Kellgren-Lawrence grade.</div></div><div><h3>Results</h3><div>We identified 29 radiomics features describing IPFP texture heterogeneity, volume, and signal intensity. For knee symptom detection, models constructed from radiomics achieved an AUROC of 0.76 [95 % CI, 0.65, 0.87], and 0.74 on cross-validation and the test set, respectively. For radiographic PTOA detection, models combining radiomics with clinical features achieved an AUROC of 0.82 [95 % CI, 0.74, 0.92] and 0.79 on cross-validation and the test set, respectively. Increased IPFP texture heterogeneity, larger volume, and increased signal intensity were linked to higher likelihood of knee symptoms and radiographic PTOA.</div></div><div><h3>Conclusion</h3><div>Radiomics features describing IPFP intensity, morphology, and texture achieve fair to moderate performance in discriminating PTOA-positive from PTOA-negative patients, defined either symptomatically or radiographically. These features describe the relationship between the IPFP and PTOA and are candidates for prognostic models or diagnostic scores that would link knee imaging to patient symptoms.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100263"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shear wave elastography reveals elevated infrapatellar fat pad stiffness in patients with early osteoarthritis symptoms after ACL reconstruction","authors":"Matthew S. Harkey ,&nbsp;Corey D. Grozier ,&nbsp;Jessica Tolzman ,&nbsp;Arjun Parmar ,&nbsp;Toufic R. Jildeh ,&nbsp;Micah Lissy ,&nbsp;Robert Dima ,&nbsp;Harvi F. Hart ,&nbsp;Ryan Fajardo","doi":"10.1016/j.ostima.2025.100267","DOIUrl":"10.1016/j.ostima.2025.100267","url":null,"abstract":"<div><h3>Objective</h3><div>The infrapatellar fat pad (IPFP) plays an important role in knee biomechanics and inflammation, particularly following anterior cruciate ligament reconstruction (ACLR). This study investigated whether IPFP stiffness, measured with shear wave elastography, is associated with early symptoms of osteoarthritis (OA) in individuals within one year after ACLR.</div></div><div><h3>Design</h3><div>In this cross-sectional study, 24 participants underwent bilateral IPFP stiffness assessments using shear wave elastography. Participants were positioned supine with 20° knee flexion. The stiffness limb symmetry index (LSI) was calculated to normalize stiffness between the ACLR and contralateral limbs. Early OA symptoms were defined as scores ≤85 % on at least two of four subscales of the Knee Injury and Osteoarthritis Outcome Score (KOOS). Independent <em>t</em>-tests were used to evaluate group differences in IPFP stiffness LSI, and receiver operating characteristic curve analysis determined the optimal LSI threshold for discriminating between groups.</div></div><div><h3>Results</h3><div>Eleven participants (46 %) showed early OA symptoms. Participants with early OA symptoms exhibited a significantly higher IPFP stiffness LSI compared to those without symptoms (49.2 ± 48.7 % vs. -17.3 ± 34.4 %, <em>p</em> &lt; 0.001). An optimal stiffness LSI threshold of 7.1 % was identified, achieving 90.9 % sensitivity, 92.3 % specificity, and an area under the curve of 0.94.</div></div><div><h3>Conclusions</h3><div>Shear wave elastography shows potential as a non-invasive tool for detecting early IPFP stiffness changes associated with OA symptoms post-ACLR. These findings suggest that IPFP stiffness may be an early marker for OA risk, warranting further longitudinal studies to evaluate its progression and to further examine the clinical utility of shear wave elastography.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100267"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Meniscal degeneration among knees without radiographic osteoarthritis correlates with changes in disease activity and subsequent cumulative damage: Data from the Osteoarthritis Initiative","authors":"Joshua T. Harvey ,&nbsp;Timothy E. McAlindon ,&nbsp;Jonggyu Baek ,&nbsp;Jamie MacKay ,&nbsp;Ming Zhang ,&nbsp;Grace H. Lo ,&nbsp;Shao-Hsien Liu ,&nbsp;Charles B. Eaton ,&nbsp;Matthew S. Harkey ,&nbsp;Julieann C. Patarini ,&nbsp;Jeffrey B. Driban","doi":"10.1016/j.ostima.2025.100264","DOIUrl":"10.1016/j.ostima.2025.100264","url":null,"abstract":"<div><h3>Objective</h3><div>To explore the relationship between meniscal degeneration (intrameniscal signal alteration without a tear) and future osteoarthritis pathology as measured by composite scores based on magnetic resonance imaging (MRI) of disease activity (bone marrow lesions and effusion-synovitis volumes) and cumulative damage (articular cartilage damage).</div></div><div><h3>Design</h3><div>This analysis involved 225 participants from the Osteoarthritis Initiative with intact menisci (defined as normal or meniscal degeneration without tear) on MRI and no radiographic knee osteoarthritis at baseline. We used longitudinal MRIs from an existing study to calculate disease activity and cumulative damage. We used robust regression models to assess the association between baseline meniscal degeneration (exposure) and disease activity or cumulative damage at baseline and four annual follow-up visits (outcomes), adjusting for sex, race, age, static alignment, and body mass index.</div></div><div><h3>Results</h3><div>Our sample included 110 participants with normal menisci (77 % women, average age 55 [SD 7]) and 115 with meniscal degeneration (60 % women, average age 61 [SD 9]). Knees with meniscal degeneration were more likely to have, on average, 0.21 greater disease activity at 12 months than knees with normal menisci (parameter estimate = 0.21, 95 % confidence interval (CI) = 0.09, 0.33). The association persisted over time. In contrast, the association between meniscal degeneration and cumulative damage only became statistically significant at the 48-month visit (parameter estimate = 0.74, 95 % CI = 0.18, 1.31).</div></div><div><h3>Conclusions</h3><div>Meniscal degeneration was related to worsening disease activity earlier than articular cartilage damage among knees without radiographic osteoarthritis. Meniscal degeneration and disease activity are promising biomarkers for early detection and monitoring of osteoarthritis, and may inform potential early intervention strategies.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100264"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-based statistical shape modeling for quantifying femoral trochlear bone shape post-ACLR","authors":"Arjun Parmar ,&nbsp;Anthony A. Gatti ,&nbsp;Ryan Fajardo ,&nbsp;Matthew S. Harkey","doi":"10.1016/j.ostima.2024.100255","DOIUrl":"10.1016/j.ostima.2024.100255","url":null,"abstract":"<div><h3>Objective</h3><div>Traditional assessments of femoral bone shape are not always available and do not adequately describe the full complexity of concave bone shape. We aimed to develop and validate an ultrasound-based statistical shape model (SSM) and a derived bone shape score (B-score) to quantify the femoral trochlear morphology associated with anterior cruciate ligament reconstruction (ACLR).</div></div><div><h3>Design</h3><div>This was a cross-sectional investigation involving 20 individuals with and 28 individuals without a history of ACLR. Bilateral ultrasound images of the femoral trochlear groove were acquired and analyzed. Both the SSM and B-score were validated using 5-fold cross-validation, assessing reconstruction and classification accuracy, respectively.</div></div><div><h3>Results</h3><div>In held-out test data, the SSM captured over 99% of the bone shape variance with minimal reconstruction error (RMSE = 0.027 ± 0.004 mm). On test data, the B-score accurately quantified bone shape associated with ACLR, demonstrating high accuracy (92.42%), sensitivity (97.37%), specificity (85.71%), and AUROC (0.95). A B-score threshold of 1.41 standard deviations from the mean healthy bone shape was identified for classifying ACLR history.</div></div><div><h3>Conclusions</h3><div>The ultrasound-based SSM and derived B-score provide a valid and accessible method for quantifying femoral trochlear bone shape changes post-ACLR. This approach offers potential for early detection of bone shape changes associated with disease and injury, improving long-term outcomes for ACLR patients. Future research should focus on enhancing model generalizability and assessment of bone shape changes longitudinally.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100255"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deconstructing the “types” of osteoarthritis","authors":"David J. Hunter ,&nbsp;Leticia A. Deveza","doi":"10.1016/j.ostima.2024.100257","DOIUrl":"10.1016/j.ostima.2024.100257","url":null,"abstract":"<div><div>The community acknowledges the staggering prevalence and disabling nature of osteoarthritis, and the crucial need for therapeutic advancement. In our quest to define a clinically meaningful endpoint and identify biomarkers that can serve as short-term treatment responses and reliable predictors of long-term outcomes, we must also strive to target therapies more effectively. This perspective article not only aims to elucidate the nomenclature of osteoarthritis types but also proposes a path towards greater transparency that has the potential to inspire a new era of both research and clinical practice.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100257"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification approaches used to grade radiographic patellofemoral osteoarthritis: A scoping review","authors":"Jonathan R. Hill ,&nbsp;Edwin H.G. Oei ,&nbsp;Kay M. Crossley ,&nbsp;Hylton B. Menz ,&nbsp;Erin M. Macri ,&nbsp;Michelle D. Smith ,&nbsp;Narelle Wyndow ,&nbsp;Liam R. Maclachlan ,&nbsp;Megan H. Ross ,&nbsp;Natalie J. Collins","doi":"10.1016/j.ostima.2024.100258","DOIUrl":"10.1016/j.ostima.2024.100258","url":null,"abstract":"<div><h3>Objective</h3><div>Conduct a scoping review to describe the use and application of different radiographic classification approaches to grade patellofemoral osteoarthritis (PFOA) in literature published during a representative period (2014–2018), and describe reported measurement properties of these grading criteria.</div></div><div><h3>Design</h3><div>The scoping review was conducted in accordance with PRISMA-ScR guidelines. Eight electronic databases were searched using keywords relating to “patellofemoral” and “radiograph”. Two independent assessors screened each record for eligibility. English-language studies published in the years 2014 to 2018 were included if they acquired patellofemoral joint (PFJ) radiographs, described the method of radiograph acquisition, and reported grading PFOA. We excluded non-human and cadaveric studies, single-case studies, and studies with mean participant age &lt;10 years. Studies that reported measurement properties underwent quality appraisal using the COSMIN Risk of Bias Tool. Descriptive statistics were reported.</div></div><div><h3>Results</h3><div>Of 18,678 records identified, 177 articles were selected. Twenty-six classification approaches to grade radiographic PFOA were reported, with Kellgren-Lawrence (KL) (<em>n</em> = 70, 40 %), OsteoArthritis Research Society International (OARSI) (<em>n</em> = 26, 15 %), and Iwano (<em>n</em> = 25, 14 %) most prevalent. Axial projections (<em>n</em> = 81, 46 %) were most commonly used to grade PFOA, followed by lateral (<em>n</em> = 31, 18 %) and frontal (<em>n</em> = 16, 9 %) projections. KL was most frequently used across settings, disciplines, and regions. Reliability data was reported by 32 (18 %) studies.</div></div><div><h3>Conclusions</h3><div>Multiple radiographic OA classification approaches were used to grade PFOA during the representative period, although few are specific to the PFJ. We recommend that a reliable and valid PFOA radiographic grading approach be developed using standardized PFJ radiograph acquisition techniques.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100258"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wireless vs. traditional ultrasound assessed knee cartilage outcomes utilizing automated gain and normalization techniques","authors":"Arjun Parmar ,&nbsp;Corey D Grozier ,&nbsp;Robert Dima ,&nbsp;Jessica E Tolzman ,&nbsp;Ilker Hacihaliloglu ,&nbsp;Kenneth L Cameron ,&nbsp;Ryan Fajardo ,&nbsp;Matthew S Harkey","doi":"10.1016/j.ostima.2024.100260","DOIUrl":"10.1016/j.ostima.2024.100260","url":null,"abstract":"<div><div>Advancements in wireless ultrasound technology allow for point of care cartilage imaging, yet validation against traditional ultrasound units remains to be established for knee cartilage outcomes. Therefore, the purpose of our study was to establish the replicability, reliability and agreement, of articular cartilage thickness and echo-intensity measures between traditional and wireless ultrasound units utilizing automatic-gain and normalization techniques. We used traditional and wireless ultrasound to assess the femoral cartilage via transverse suprapatellar scans with the knee in maximum flexion in 71 female NCAA Division I athletes (age: 20.0 ± 1.3 years, height: 171.7 ± 8.7 cm, mass: 69.4 ± 11.0 kg). Wireless ultrasound images (auto-gain and standard gain) were compared to traditional ultrasound images (standard gain) before and after normalization. Ultrasound image pixel values were algebraically scaled to normalize differences between units in image acquisition. Mean thickness and echo-intensity of the global and sub-regions of interest were measured across imaging parameters. Intraclass correlation coefficients (ICC_2,<em>_k</em>) for reliability, standard error of the measurement, minimum detectable difference, and Bland-Altman plots for agreement were calculated between ultrasound units across imaging parameters. Cartilage thickness demonstrated good to excellent reliability (ICC_2,<em>_k</em> = 0.83–0.95) and minimal bias (-0.06–0.03 mm), in all regions regardless of gain and normalization. However, mean echo-intensity demonstrated poor to moderate reliability (ICC_2,<em>_k</em> = 0.23–0.68) and moderate bias (-9.8–6.5 au) in all regions, regardless of gain and normalization. While there was a high level of replicability between units when assessing cartilage thickness, further research in ultrasound beam forming may lead to improvements in replicability of cartilage echo-intensity between ultrasound units.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100260"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perspective: Empowering osteoarthritis drug development through assessment of synovitis by CE-MRI: A new approach in clinical trials","authors":"Francis Berenbaum","doi":"10.1016/j.ostima.2024.100259","DOIUrl":"10.1016/j.ostima.2024.100259","url":null,"abstract":"<div><div>Knee osteoarthritis (OA) is a global health challenge with substantial unmet therapeutic needs. Current treatments primarily target symptoms without altering the disease's progression. Synovitis, the inflammation of synovial tissue, is a key driver of both pain and structural changes in OA. This Perspective proposes a paradigm shift, positioning synovial health assessment as a cornerstone in the evaluation of new OA therapies. By doing so, it aims to accelerate development of effective disease modifying OA drugs (DMOADs) and improving patient outcomes. It highlights the potential of contrast enhanced-MRI (CE-MRI) to serve as a surrogate marker for synovial health, offering precise visualization of inflammation and its relationship with disease progression and pain.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100259"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Which endpoints should be applied in interventional trials? – From single uni-dimensional assessment tailored to a drug's mechanism of action to multi-component measures and multi-domain composites","authors":"Felix Eckstein ,&nbsp;Tanja Stamm ,&nbsp;Jamie Collins","doi":"10.1016/j.ostima.2024.100256","DOIUrl":"10.1016/j.ostima.2024.100256","url":null,"abstract":"<div><h3>Objective</h3><div>A vast array of structural/imaging and clinical endpoints/outcomes are available today to osteoarthritis epidemiologists or trialists. Which assessments are best suited for which studies remains unsettled. When several assessments are available, these may be analyzed together (simultaneously or hierarchically), using statistical modeling and adjustment. Or, alternatively, they may be combined to form more complex multi-component or composite (potentially multi-domain) endpoints/outcomes. This review describes such concepts and their challenges, using examples from current osteoarthritis imaging research.</div></div><div><h3>Design</h3><div>A narrative, non-systematic literature search (PubMed and others) was conducted, and informal consultations were held with experts in the field. The identified concepts and experimental findings were then organized to present an integrated framework.</div></div><div><h3>Results</h3><div>Single imaging assessments can encompass one (uni-dimensional) or more (multi-dimensional) structures. Integration of image assessments of one structure/tissue across anatomical locations provides aggregate measures. This can also be created across heterogeneous (multi-dimensional) types of assessments (multi-component/composite), either within an area (such as imaging - single domain) or across broader areas of health and well-being (multi-domain). Weighting, standardization, and (clinical) usefulness are crucial characteristics of multi-component/composite endpoints. Examples of these concepts are here provided in the context of osteoarthritis imaging.</div></div><div><h3>Conclusions</h3><div>Options for multi-component/composite endpoints in osteoarthritis research are virtually infinite. Smart research strategies are required to explore and validate these vast possibilities, with appropriate statistical treatment being paramount. A one-size/endpoint-fits-all approach will likely fail in observational and interventional studies. Imaging assessment needs to be tailored to both the drug's unique mechanism of action, and to the participants’ morpho-type.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100256"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial for the Special -Issue on Biomechanics and Imaging","authors":"Patrick Omoumi,&nbsp;Julien Favre","doi":"10.1016/j.ostima.2024.100254","DOIUrl":"10.1016/j.ostima.2024.100254","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 1","pages":"Article 100254"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}