Osteoarthritis imaging最新文献

{"title":"EFFECTS OF WHOLE-BODY ELECTROMYOSTIMULATION ON STRUCTURAL KNEE OSTEOARTHRITIS AS DEFINED BY MRI: THE EMSOAT STUDY","authors":"F.W. Roemer ,&nbsp;S. Kast ,&nbsp;W. Kemmler ,&nbsp;J.E. Collins ,&nbsp;K. Engelke ,&nbsp;A. Guermazi ,&nbsp;M. Uder ,&nbsp;S. von Stengel","doi":"10.1016/j.ostima.2024.100191","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100191","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Whole-body electromyostimulation (WB-EMS) might be an attractive alternative or supportive option to conventional strength training for patients with knee osteoarthritis (OA). We could show previously that WB-EMS is effective in alleviating pain, objective lower-limb function and maximum strength of hip-/leg extensors compared to a usual care approach. Whether WB-EMS also has concurrent positive effects on joint structure is not known.</p></div><div><h3>OBJECTIVE</h3><p>To compare structural changes of knee OA as assessed by semi-quantitative MRI assessment between patients with knee OA treated with WB-EMS and those treated with a standard of care approach over a period of 7 months.</p></div><div><h3>METHODS</h3><p>72 overweight (BMI&gt;25 kg/m²) participants, aged 40-70 years, with symptomatic early to moderate knee OA were randomly assigned to two groups (WB-EMS [Figures 1 and 2]: n=36 vs. control group [CG]: n=36). The WB-EMS group performed 1.5 times per week (once in one week, twice in the subsequent week) a WB-EMS training of 20 min for 7 months (including 1 month of conditioning), while the CG was provided with 6 × 20 min standard physiotherapeutic treatments including hands-on techniques and exercises. MRIs were acquired at baseline and 7 months follow-up using a 3T system. The protocol included triplanar intermediate-weighted fat suppressed and a coronal T1-weighted sequence. MRIs were read in chronological order according to the MRI OsteoArthritis Knee Score (MOAKS) system. Between-group differences in regard to change in cartilage, bone marrow lesions (BMLs) (including within-grade changes for cartilage and BMLs), osteophytes, meniscus damage and extrusion, and markers of inflammation (Hoffa- and effusion synovitis) were analyzed using Fisher's Exact and Wilcoxon Rank Sum tests.</p></div><div><h3>RESULTS</h3><p>Baseline demographic characteristics are presented in Table 1. Fewer knees in the WB-EMS groups showed cartilage worsening (any subregions with worsening) compared to the CG (18% vs. 40%, p=0.046). There were fewer knees in the WB-EMS group showing an increase in a BML size score of ≥1. However, these findings were not statistically significant (30% vs 46%, p=0.43). Regarding number of subregions with BML improvement, no change, or worsening no differences were seen (p=0.56). Very little osteophyte and meniscal change was seen over the observational period. In the WB-EMS group improvement in Hoffa synovitis was seen in 6% and in 9% in the CG, while for effusion-synovitis these numbers were 15% and 17%. Regarding worsening these numbers were 3% and 0% for Hoffa-synovitis and 12% and 9% for effusion synovitis (p for change of Hoffa-synovitis 0.83, for effusion-synovitis 0.78).</p></div><div><h3>CONCLUSION</h3><p>While there was a difference with fewer subregions showing worsening cartilage damage on a whole knee level in the WB-EMS groups compared to the CG, no significant changes were obser","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100191"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000199/pdfft?md5=f7d233abb20d1c4ceca0591b0824df51&pid=1-s2.0-S2772654124000199-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434956","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":"DEVELOPMENT OF A MUSCULOSKELETAL RELAXOMETRY PHANTOM FOR T1, T2, AND T1RHO MEASUREMENTS","authors":"J. Kim ,&nbsp;S.E. Russek ,&nbsp;K.F. Stupic ,&nbsp;C.M. Stoffer ,&nbsp;K.E. Keenan ,&nbsp;D. Rutkowski ,&nbsp;J. Kammerman ,&nbsp;J.H. Brittain ,&nbsp;X. Li","doi":"10.1016/j.ostima.2024.100194","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100194","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Quantitative MRI (qMRI) relaxometry is widely investigated to probe tissue compositional changes at early stages of diseases. T1, T2, and T1rho have been studied to detect early cartilage degeneration in osteoarthritis (OA). Due to its quantitative nature, standardization of measurement and quality assurance of qMRI are crucial when interpreting findings from patients, especially in multi-site and multi-vendor trials. However, no dedicated musculoskeletal (MSK) relaxometry phantoms are commercially available to assist the process.</p></div><div><h3>OBJECTIVE</h3><p>Develop a dedicated MSK relaxometry phantom for quality assurance of articular cartilage T1, T2 and T1rho measures, with a focus on the knee joint.</p></div><div><h3>METHODS</h3><p>The Musculoskeletal Relaxometry Phantom prototype (Calimetrix, Madison, WI) is composed of a cylindrical phantom housing filled with a doped water solution and designed to have the following attributes: 1) 12 vials with gels and chemicals that mimic T1, T2, and T1rho relaxation times of articular cartilage (T2/T1rho: 10-100ms; T1: 300, 700, 1200ms) with NMR measurements by NIST for reference; 2) compatibility with commonly used knee coils with customized stands for reproducible positioning; and 3) NIST-traceable analog MR-compatible MR-visible thermometer for temperature measurements. For evaluation, MRI measurements were performed with two 3T scanners with knee coils (Siemens Prisma and GE Healthcare SIGNA Premier) using 2D inversion-recovery spin-echo T1, 2D single-echo spin-echo T2, 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (MAPSS) T1rho and T2. Validated NMR measurements were provided by NIST using a 3T system (Tecmag Redstone with Doty Scientific 5mm probe).</p></div><div><h3>RESULTS</h3><p>All MRI measurements were longitudinally stable with 1-2% coefficients of variation (CVs) over an 8-month period. 13 phantoms created in two batches demonstrated high within-batch and cross-batch consistency with less than 1% CV for relaxation time measures. T1/T2 of two vendors had less than 2% CV.</p></div><div><h3>CONCLUSION</h3><p>A stable MSK relaxometry phantom prototype was successfully developed and characterized, including changes with temperature. This phantom will facilitate the use of quantitative relaxometry MRI in large-scale multi-site, multi-vendor trials, and the clinical translation of qMRI.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000229/pdfft?md5=1251ff7214ea08e1e155c6b0a4b10889&pid=1-s2.0-S2772654124000229-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434942","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":"The shape of the tibial spines as imaging biomarker for incident knee osteoarthritis","authors":"J Runhaar ,&nbsp;J Damen ,&nbsp;Oei EHG ,&nbsp;Bierma-Zeinstra SMA","doi":"10.1016/j.ostima.2023.100169","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100169","url":null,"abstract":"<div><h3>Objective</h3><p>Morphological aspects of the tibial spines on radiography have received little attention in the evaluation of disease status or disease prediction in OA. This study explored the inter-observer reliability and associations with clinical and radiographic knee OA incidence for medial and lateral spiking, the medial and lateral edge angles, and the height of the tibial spines.</p></div><div><h3>Design</h3><p>Data from 344 middle-aged women who were overweight/obese and free of radiographic OA and knee symptoms, was used for the analyses. Outcomes were the incidence of radiographic knee OA and clinical knee OA after 30 months. Generalized Estimating Equations, to adjust for multiple measures within individuals, and a backward selection method (<em>p</em> &gt; 0.1 for removal) were used to obtain prediction models. For each outcome, AUC values for the remaining factors and 95 % CI were calculated.</p></div><div><h3>Results</h3><p>Apart from the lateral spine edge angle, all features had moderate to excellent reliability. Only the lateral spine angle showed a significant association with incident radiographic knee OA (AUC of 0.63 (95 % CI 0.53–0.73)). Medial spiking, lateral spiking, and the medial edge angle of the medial tibial spine were significantly associated with incident clinical knee OA (AUC of 0.71 (95 % CI 0.62–0.81).</p></div><div><h3>Conclusions</h3><p>Morphological aspects of the tibial spines can reliably be obtained from radiography and should be considered in future prediction models, combined with other known predictors from patient history, physical examination, and/or imaging.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 4","pages":"Article 100169"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654123000879/pdfft?md5=805ad67d760cb7e5f009b9be548f5bba&pid=1-s2.0-S2772654123000879-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138472504","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":"The Relationship Between Periarticular Muscle Properties and Knee Pain in Non-Overweight Postmenopausal Females","authors":"Si Wen Liu ,&nbsp;Kenneth Tam ,&nbsp;Nima Yazdankhah ,&nbsp;Vahid Anwari ,&nbsp;Emily Ha ,&nbsp;Rachel Whyte ,&nbsp;Ali Naraghi ,&nbsp;Marshall S. Sussman ,&nbsp;Rakesh Mohankumar ,&nbsp;James D. Johnston ,&nbsp;Linda Probyn ,&nbsp;Evelyn Wong ,&nbsp;Crystal MacKay ,&nbsp;Dmitry Rozenberg ,&nbsp;Andy Kin On Wong","doi":"10.1016/j.ostima.2023.100168","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100168","url":null,"abstract":"<div><h3>Objective</h3><p>To determine how properties of periarticular muscle relate to knee OA outcomes, specifically how inter- and intramuscular fat (IMF) content (percentage, volume) and muscle volume relate to knee pain and function among non-overweight postmenopausal females (non-OW PMF).</p></div><div><h3>Methods</h3><p>In this cross-sectional study, 51 non-OW PMF (BMI&lt;25 kg/m², 50–85 years) with evidence of early knee OA underwent 3T knee magnetic resonance (MR) imaging (T1-weighted, 2-point Dixon, in-phase images, voxel size: 0.7 × 0.7 × 2.0 mm). Muscle features from MR images of the knee were segmented to compute muscle properties (percentage and volume of IMF, muscle volume). Multivariable linear regression determined the relationships between these muscle properties (slice-wise and volume-wise) and of knee pain (Knee Injury and Osteoarthritis Outcome Score (KOOS) questionnaire, Intermittent and Constant Osteoarthritis Pain) and function (40 m walk, 30 s chair stand, 9-step stair climb).</p></div><div><h3>Results</h3><p>Due to missing parameters, only 42 participants were included in the final analysis (mean age = 62±9 years, BMI = 22.7 ± 3.2 kg/m², KL score ≥ 2: 14(34.2 %)). A 10 % higher IMF percentage across the full volume of calf slices, but not thigh, was associated with pain scores reflecting greater KOOS knee pain (<em>b</em> = -25.27(-38.44, -12.10)), intermittent pain (<em>b</em> = 36.81(19.25, -54.38)), and constant pain (<em>b</em> = 21.32(2.00, 40.64), as well as longer 40 m walk times (<em>b</em> = 8.43(0.64, 16.21)). b refers to the unstandardized beta coefficient.</p></div><div><h3>Conclusion</h3><p>Greater IMF in the periarticular calf is associated with greater knee pain and worse functional status among non-OW PMW with varying degrees of knee pain. Our finding highlights the need to closely study the role of the periarticular calf in knee OA by extending knee MRI scans to encompass a larger field of view to capture more muscle both proximal and distal from the joint line.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 4","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654123000867/pdfft?md5=7f5a6891799cb36ab268eca022f63e16&pid=1-s2.0-S2772654123000867-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138557458","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":"SYSTEMATIC REVIEW OF COMPUTED TOMOGRAPHY PARAMETERS USED FOR THE ASSESSMENT OF SUBCHONDRAL BONE IN OSTEOARTHRITIS","authors":"J.E. Schadow ,&nbsp;D. Maxey ,&nbsp;T.O. Smith ,&nbsp;M.A.J. Finnilä ,&nbsp;S.L. Manske ,&nbsp;N.A. Segal ,&nbsp;A.K.O. Wong ,&nbsp;R.A. Davey ,&nbsp;T. Turmezei ,&nbsp;K.S. Stok","doi":"10.1016/j.ostima.2023.100128","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100128","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 ","pages":"116948"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49865103","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":"Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022","authors":"Ozkan Cigdem,&nbsp;Cem M Deniz","doi":"10.1016/j.ostima.2023.100161","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100161","url":null,"abstract":"<div><h3>Objective</h3><p>The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.</p></div><div><h3>Methods</h3><p>A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.</p></div><div><h3>Results</h3><p>395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.</p></div><div><h3>Conclusions</h3><p>The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49891179","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":"Debate: Intra-articular steroid injections for osteoarthritis – harmful or helpful?","authors":"Ali Guermazi ,&nbsp;David J. Hunter ,&nbsp;Margreet Kloppenburg","doi":"10.1016/j.ostima.2023.100163","DOIUrl":"10.1016/j.ostima.2023.100163","url":null,"abstract":"<div><p>Intra-articular corticosteroids injections are a widely used treatment for pain from symptomatic osteoarthritis. Systematic reviews show that the treatment effect is modest compared with intra-articular saline (often considered as placebo) and lasts for 2-4 weeks on average. Potentially as a consequence of limited therapeutic duration, repeated injections are often given up to 4 injections annually. In this context of repeat injections, recent evidence has emerged that intra-articular corticosteroids might be associated with more MRI-assessed quantitative cartilage thickness loss than saline injections. Guidelines vary in the recommendation for use of intra-articular corticosteroids. Given the frequency with which intra-articular corticosteroids injections are used, the size and scale of the population with osteoarthritis, it is critical to fully understand the benefits and drawbacks of intra-articular corticosteroids injections. That is the focus of this debate article.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44915189","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":"Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022.","authors":"Ozkan Cigdem, Cem M Deniz","doi":"10.1016/j.ostima.2023.100161","DOIUrl":"10.1016/j.ostima.2023.100161","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.</p><p><strong>Methods: </strong>A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.</p><p><strong>Results: </strong>395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.</p><p><strong>Conclusions: </strong>The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.</p>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11213283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47455101","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":"T1ρ and T2* measurements in small and knee-sized magnetic resonance imaging phantoms: Effect of phantom size and position relative to isocenter","authors":"John C. Ramsdell ,&nbsp;Bruce D. Beynnon ,&nbsp;Andrew S. Borah ,&nbsp;Mack G. Gardner-Morse ,&nbsp;Jiming Zhang ,&nbsp;Mickey I. Krug ,&nbsp;Timothy W. Tourville ,&nbsp;Matthew Geeslin ,&nbsp;Mathew J. Failla ,&nbsp;Pamela M. Vacek ,&nbsp;Niccolo M. Fiorentino","doi":"10.1016/j.ostima.2023.100162","DOIUrl":"10.1016/j.ostima.2023.100162","url":null,"abstract":"<div><h3>Objective</h3><p>Quantitative magnetic resonance imaging (qMRI) parameters such as T1ρ and T2* characterize changes in cartilage matrix composition prior to cartilage loss. However, T1ρ and T2* measurement reliability in phantoms that mimic in vivo knee size and position within the scanner bore (left or right side of isocenter) is unknown. This study aimed to quantify sources of variance, and the systematic differences between left and right positions in T1ρ and T2* in small vials of a commercially available phantom and a knee-sized phantom.</p></div><div><h3>Methods</h3><p>Phantoms were imaged 100 mm to the left and right of isocenter on five days using 3D MAPSS (T1ρ) and 3D gradient echo (T2*) sequences at 3T. Variance component analysis estimated the variability attributable to slice, side, vial, and day. Measurement error was quantified with 95% confidence intervals (CI). Paired t-tests evaluated systematic differences between the left and right imaging locations (<em>p</em>&lt;.05).</p></div><div><h3>Results</h3><p>Averaged across days the left-to-right phantom positions produced differences of 0.1 ms (<em>p</em>&lt;.0001) for T1ρ and -0.8 ms (<em>p</em>&lt;.0001) for T2* in the knee-sized phantoms, and differences ranged from -1.5 ± 0.3 ms (<em>p</em>=.0004) to -0.4 ± 0.4 ms (<em>p</em>=.045) for T1ρ and -3.3 ± 2.5 ms (<em>p</em>&lt;.0001) to 2.3 ± 1.5 ms (<em>p</em>&lt;.0001) for T2* in the small vial phantoms. The total variance for T2* was much less for the knee-sized phantom (0.9) than the small-vial pairs with the same concentration (7.0).</p></div><div><h3>Conclusions</h3><p>This study revealed a position and phantom size dependence on qMRI parameters not reported previously. Future studies and quality control acquisitions should consider position within the MR scanner and phantom size in their design.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42921569","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":"Longitudinal MRI-defined cartilage loss and radiographic joint space narrowing following intra-articular corticosteroid injection for knee osteoarthritis: A systematic review and meta-analysis","authors":"Hamza Ahmed Ibad ,&nbsp;Arta Kasaeian ,&nbsp;Elena Ghotbi ,&nbsp;Frank Roemer ,&nbsp;Mohamed Jarraya ,&nbsp;Farzaneh Ghazi-Sherbaf ,&nbsp;Mahsa Dolatshahi ,&nbsp;Shadpour Demehri ,&nbsp;Ali Guermazi","doi":"10.1016/j.ostima.2023.100157","DOIUrl":"10.1016/j.ostima.2023.100157","url":null,"abstract":"<div><h3>Background</h3><p>Intra-articular corticosteroid injections (IACS) are interventions which provide pain relief in knee osteoarthritis (OA). It remains unclear whether IACS have a deleterious effect on knee cartilage structure.</p></div><div><h3>Purpose</h3><p>To estimate the effect of IACS on cartilage structure in patients with knee OA, using joint space width (JSW) (in radiographic studies), and cartilage thickness (in magnetic resonance imaging).</p></div><div><h3>Materials and methods</h3><p>A literature search was performed to identify randomized control trials and observational studies published from inception to June 15, 2022. Studies were included if patients received IACS for knee OA, with a control arm. Given the different metrics used in reporting continuous variable outcomes among studies, pooled estimates for cartilage thickness change were assessed using standardized mean differences (defined as the difference between the means of the groups divided by a within-group standard deviation) to odds ratio transformation. Sensitivity analyses were conducted based on outcome metric, imaging modality, and number of injections.</p></div><div><h3>Results</h3><p>Six studies (1437 participants) were identified. The estimated effect of IACS on cartilage structure revealed greater odds of cartilage structure worsening (Odds Ratio (OR): 2.01, 95% Confidence Interval (CI): 1.18,3.44). Sensitivity analyses revealed similar trends, with significant results for singular injections with preference to JSW (OR: 2.44, 95%CI: 1.23,4.82), radiographic outcomes with preference to KL grade (OR: 2.03, 95%CI: 1.01,4.10), binary outcomes with preference to KL grade (OR: 2.93, 95%CI: 1.18,7.25) and quantitative measures (Standardized Mean Differences (SMD): -0.34, 95%CI: -0.66, -0.02)</p></div><div><h3>Conclusions</h3><p>IACS use may contribute to imaging features of knee cartilage loss. Further studies are warranted to investigate the underlying pathogenesis.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100157"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46331991","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}