Osteoarthritis imaging最新文献

{"title":"Imaging of cartilage, meniscus, and beyond: Role of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT)","authors":"Patrick Omoumi","doi":"10.1016/j.ostima.2025.100268","DOIUrl":"10.1016/j.ostima.2025.100268","url":null,"abstract":"<div><div>Magnetic Resonance Imaging (MRI) remains the reference standard for imaging cartilage and meniscus, offering superior soft tissue contrast essential for comprehensive joint assessment in osteoarthritis (OA). However, recent technological advancements in Computed Tomography (CT)—spectral imaging, and weight-bearing scanners—have sparked renewed interest in utilizing CT, and CT arthrography in the evaluation of OA. This narrative mini-review explores the strengths and limitations of both MRI and CT in imaging cartilage and meniscus, and presents some trends in the research setting.</div><div>MRI remains the modality of choice for joint imaging, offering excellent soft tissue contrast and comprehensive articular assessment. CT is the reference for the assessment of mineralized tissue imaging, and in association with arthrography (CT arthrography, CTA), provides high performance in the diagnosis of surface lesions.</div><div>In the research setting, efforts have focused on the acceleration of MRI acquisitions, with deep learning reconstructions disrupting the traditional trade-off between acquisition speed and image quality. Efforts are undertaken to standardize compositional MRI techniques, which probe early-stage biochemical tissular changes. Emerging techniques such as synthetic imaging may offer the ability to provide information on bone and soft tissues in a single acquisition. Weight-bearing acquisitions have allowed the assessment of joint structures, in particular menisci, in a loaded position. Photon-counting CT promises higher resolution, improved material separation without increasing radiation exposure. Finally, post-processing tools are being developed to leverage large quantities of data and integrate both modalities in a complementary framework that could provide a robust toolset for the assessment of OA.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100268"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271671","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":"Microstructural imaging of the cartilaginous endplate in the intervertebral disc","authors":"Valtteri Peitso ,&nbsp;Shuvashis Das Gupta ,&nbsp;Ali Mobasheri","doi":"10.1016/j.ostima.2025.100269","DOIUrl":"10.1016/j.ostima.2025.100269","url":null,"abstract":"<div><h3>(1) Objective</h3><div>Intervertebral disc (IVD) degeneration is a major risk factor for the development of chronic low back pain (LBP), affecting millions globally, particularly as they age. IVD degeneration can promote inflammation, and reduce spinal stability leading to compression of nerve roots. Research has primarily focused on the annulus fibrosus (AF) or nucleus pulposus (NP), with an unmet need to explore the physiology of the cartilaginous endplate (CEP) and its microstructural assessment in IVD degeneration. Imaging the microstructure of the CEP, a relatively thin layer between the IVD and vertebral body, is challenging. This mini-review discusses advanced imaging methods to capture the microstructure of the CEP.</div></div><div><h3>(2) Design</h3><div>This narrative mini-review explores current methods for <em>in vitro</em> and <em>ex vivo</em> microstructural imaging of the CEP using advanced techniques such as three-dimensional (3D) micro-computed tomography (µCT) and two-dimensional (2D) light microscopy.</div></div><div><h3>(3) Results</h3><div>Advanced imaging techniques can provide detailed visualization of IVD microarchitecture, structural integrity, and degeneration, including CEP structure. Optical light microscopy techniques provide detailed 2D images of the CEP from stained or unstained IVD sections. Imaging the IVD in a 3D modality, such as contrast-enhanced µCT, enables a better understanding of the CEP’s microstructural changes in IVD degeneration.</div></div><div><h3>(4) Conclusions</h3><div>High-resolution 3D imaging of the CEP could be useful for visualizing and quantifying the response of degenerated tissue to experimental therapeutics <em>ex vivo</em>. Moreover, analyzing CEP-driven microstructural degeneration is crucial for developing preclinical anatomical models that spine surgeons can use to test and evaluate medical and therapeutic candidates.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100269"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271672","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":"Methods of measuring radiographic patellofemoral joint alignment and morphology: 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.2025.100262","DOIUrl":"10.1016/j.ostima.2025.100262","url":null,"abstract":"<div><h3>Objective</h3><div>Conduct a scoping review to identify radiographic measures of patellofemoral joint (PFJ) alignment and bony morphology reported in literature published during a representative period (2014–2018), and describe their reported measurement properties.</div></div><div><h3>Design</h3><div>Eight electronic databases were searched using keywords relating to “patellofemoral” and “radiograph”. Identified records were screened for eligibility by two independent assessors. English-language studies published in the years 2014–2018 were included if they reported: (i) acquiring PFJ radiographs; (ii) method of radiograph acquisition; and (iii) descriptions of radiographic PFJ alignment and bony morphology measures. Non-human and cadaveric studies, single-case studies, and studies with mean participant age &lt;10 years were excluded. For studies that reported measurement properties (reliability, validity, responsiveness), quality appraisal was performed by two independent assessors using the COSMIN Risk of Bias tool. Descriptive data were reported.</div></div><div><h3>Results</h3><div>Of 18,678 records identified, 336 articles met our criteria . Ninety-one unique radiographic alignment and morphology measures were described. Most prevalent were measures of patellar height (222, 66.1 %), patellar alignment (142, 42.3 %), and patellar inclination (121, 36 %). Reliability data were reported by 83 (24.7 %) of the studies.</div></div><div><h3>Conclusions</h3><div>During the selected period, 91 different radiographic measures of PFJ alignment and morphology were reported, with multiple methods used to obtain similar measures, and limited data on reliability and validity. These findings make it difficult to recommend specific measures for clinical and research use. Further studies are needed to determine the measurement properties of radiographic PFJ alignment and morphology measures, and to establish consensus-based recommendations for priority measures and acquisition methods for specific PFJ conditions.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 2","pages":"Article 100262"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144271720","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":"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":"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}