Osteoarthritis imaging最新文献

{"title":"WHAT IS THE DISTRIBUTION OF MRI-ASSESSED CARTILAGE DAMAGE AND OSTEOPHYTES WITHIN RADIOGRAPHIC KL GRADE?","authors":"J.E. Collins , A. Guermazi , C.K. Kwoh , S. Demehri , D.J. Hunter , F.W. Roemer","doi":"10.1016/j.ostima.2025.100282","DOIUrl":"10.1016/j.ostima.2025.100282","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Previous studies have shown that mild-to-moderate radiographic disease severity of knee osteoarthritis (OA), i.e. grades 2 and 3 on the Kellgren-Lawrence (KL) scale, reflects a wide spectrum of cartilage morphology including knees with KL2 having no cartilage damage at all, and KL 3 knees having far-advanced wide-spread full-thickness cartilage loss, raising questions on the validity of the KL grading system to classify knees. Radiographic KL grade 2 or 3 is often an inclusion criterion in disease- modifying drug (DMOAD) trials, with the assumption that these knees represent mild-to-moderate OA, i.e. definite OA but not end-stage. No data is available on whether KL0 and 1 knees, - considered pre-radiographic OA -, exhibit osteophytes (OPs) or cartilage damage to a relevant extent or whether more advanced disease, i.e. KL3 and 4, may also reflect knees without or only little relevant cartilage damage or OP presence.</div></div><div><h3>OBJECTIVE</h3><div>The current study aimed at investigating the distribution of MRI-based measures of OP and cartilage damage scores by radiographic KL grade.</div></div><div><h3>METHODS</h3><div>Centrally MOAKS MRI and radiographic KL readings were included from the following Osteoarthritis Initiative (OAI) substudies: FNIH Biomarker consortium, POMA and BEAK. In order to match the anteroposterior (a.p.) radiograph, four locations for OPs assessed in the coronal plane (central medial femur, central medial tibia, central lateral femur, central lateral tibia) were considered. Eight tibiofemoral subregions matching the a.p. radiograph were considered for cartilage damage: anterior medial tibia, central medial tibia, posterior medial tibia, central medial femur, anterior lateral tibia, central lateral tibia, posterior lateral tibia and central lateral femur (<strong>Figure 1</strong>). Cartilage was classified as focal damage only (MOAKS 0, 1.0, 1.1), damage with no advanced full thickness wide-spread damage (MOAKS 2.0, 2.1, 3.0, 3.1), and full thickness wide-spread damage (MOAKS 2.2, 3.2, 3.3). Meniscal damage was assessed with MOAKS, which considered both meniscal morphology and extrusion scores. Descriptive statistics were used to show the frequencies of maximum MOAKS osteophyte and cartilage grades by radiographic KL grade.</div></div><div><h3>RESULTS</h3><div>In total, the dataset includes 4924 visits from 1981 participants contributing 2276 knees for up to four timepoints. The radiographic KL distribution for the sample is KL0 n=1463 (29.7%), KL1 n=1457 (29.6%), KL2 n=1282 (26.0%), KL3 n=703 (14.3%) and KL4 n=19 (0.4%). There was a definite trend of increasing cartilage damage and osteophyte score with an increasing KL grade <em>(p<0.001 for both).</em> However, there was marked heterogeneity in both measures within KL grade. More than 20% of KL 0 knees showed wide-spread superficial cartilage damage and a minority wide-spread full-thickness damage (<strong>Figure 2, Panel A</str","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100282"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523635","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":"Welcome to the 19th IWOAI","authors":"","doi":"10.1016/S2772-6541(25)00101-1","DOIUrl":"10.1016/S2772-6541(25)00101-1","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100361"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523927","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":"Conference Timetable","authors":"","doi":"10.1016/S2772-6541(25)00104-7","DOIUrl":"10.1016/S2772-6541(25)00104-7","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100364"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144523929","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":"ASSESSING TEST-RETEST RELIABILITY OF JSW MEASUREMENTS FOR THE MOST4 KNEE RADIOGRAPH POSITIONING PROTOCOL","authors":"N.A. Segal ,&nbsp;N.H. Degala ,&nbsp;T.D. Turmezei ,&nbsp;J.A. Lynch","doi":"10.1016/j.ostima.2025.100317","DOIUrl":"10.1016/j.ostima.2025.100317","url":null,"abstract":"<div><h3>INTRODUCTION</h3><div>Despite challenges, joint space width (JSW) on weight-bearing radiographs has remained the most common structural outcome for Phase III trials approved by either the FDA or the EMA. The JSW is the distance between the projected femur and tibia margins on radiographic images. Superimposition of the posterior and anterior edges of the tibial plateau is required to accurately measure radiographic JSW. Knees must be positioned correctly at both baseline and follow-up to maximize reliability of measures of JSW and reliability metrics are useful to calculate sample sizes for studies that depend on JSW measurements.</div></div><div><h3>OBJECTIVE</h3><div>To establish the test-retest reliability of knee joint 2D imaging protocols used by the Multicenter Osteoarthritis Study (MOST4) at the 20-year visit.</div></div><div><h3>METHODS</h3><div>This cross-sectional, observational study compared joint space width (JSW) measurements between baseline and 2-week follow-up on PA radiographs acquired using an XFI scanner (Planmed Oy, Helsinki, Finland), using the same protocol used for the MOST4-V1 (20-year) visit. Participants were age ≥50 years, Kellgren-Lawrence grade 0-4, met MOST4 inclusion criteria, and could safely undergo WBCT (i.e. body mass&lt; 230kg, able to stand for 5 minutes with support). Participants were positioned using a customized Perspex frame which could be tilted in the sagittal plane (5°, 10° or 15°) to make the tibial plateaus coplanar with the x-ray beam for a PA radiograph of both knees. Shrout-Fleiss intraclass correlation coefficients (ICC 2.1) and limits of agreement (mm) were calculated for joint space width (JSW) measurements on radiographs acquired at baseline and 2-week follow-up. For the medial compartment, JSW was measured at 50%, 60%, 70%, 80%, and 90% of the distance from the medial tibial spine (0%) to the outer margin of the medial tibial plateau (MTP; 100%). For the lateral compartment, JSW was measured at 50%, 60%, 70%, 80%, and 90% of the distance from the lateral tibial spine (0%) to the outer margin of the lateral tibial plateau (100%). JSW could not be measured in one knee due to poor alignment of the MTP and some knees could not be measured at JSW 90% due to the relative position of the femur on the tibia.</div></div><div><h3>RESULTS</h3><div>A total of 28 knees for 14 participants (demographics in Table 1) were imaged. ICC for JSW at each position in the medial and lateral compartments at JSW 50% to 90% are presented in Table 2 and limits of agreement are presented in Table 3. ICC for JSW measurements in the medial compartment were all ≥ 0.92 and ICC for JSW measurements in the lateral compartment were all ≥ 0.76.</div></div><div><h3>CONCLUSION</h3><div>These data support that the MOST4 knee radiograph acquisition protocol using the XFI has acceptable test-retest reliability for measurement of JSW at locations within the medial and lateral compartments.</div></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100317"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524028","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":"PROJECTED CARTILAGE AREA RATIO, EVALUATED USING THREE-DIMENSIONAL MRI ANALYSIS SOFTWARE, IS A USEFUL INDEX FOR ASSESSING CARTILAGE IN THE MEDIAL COMPARTMENT OF THE KNEE JOINT, COMPARABLE TO CARTILAGE THICKNESS MEASUREMENTS","authors":"N. Ozeki ,&nbsp;J. Masumoto ,&nbsp;I. Sekiya","doi":"10.1016/j.ostima.2025.100305","DOIUrl":"10.1016/j.ostima.2025.100305","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;The projected cartilage area ratio, evaluated using three-dimensional MRI, is defined as the proportion of the region of interest (ROI) occupied by sufficiently thick cartilage and serves as a quantitative index for cartilage assessment (1). However, the relationships between the projected cartilage area ratio and factors such as cartilage thickness, lower limb alignment, patient characteristics, and the medial meniscus coverage ratio have not been fully clarified.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;The aim of this retrospective study was to investigate the correlations between the projected cartilage area ratio and cartilage thickness, lower limb alignment, patient characteristics, and the medial meniscus coverage ratio.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;A total of 53 patients who underwent medial meniscus repair or high tibial osteotomy for the treatment of medial knee OA were included. MRI was performed using a 3.0-T system (Achieva 3.0TX, Philips, Netherlands). Sagittal images of the knee joint were obtained using both fat-suppressed spoiled gradient echo and proton-weighted sequences. DICOM data were processed using SYNAPSE VINCENT 3D software (FUJIFILM Corp., Tokyo, Japan). Tibial cartilage was projected vertically onto a plane aligned with the bone’s long axis, while femoral cartilage was projected radially around the intercondylar axis, defined as the line connecting the centers of the medial and lateral femoral condyles. These centers were identified by approximating each condyle to an ellipse on lateral views. The software automatically delineated the ROI using bone contours and divided the medial femoral condyle (MFC) into nine subregions based on anatomical morphology. The projected cartilage area ratio was calculated as the ratio of the projected cartilage area exceeding a defined thickness threshold to the total ROI area in each region and subregion. Average cartilage thickness and the medial meniscus coverage ratio were also automatically computed. The medial meniscus coverage ratio was defined as the ratio of the area covered by the meniscus within the medial tibial cartilage area to the total medial tibial cartilage area. Correlations between the projected cartilage area ratio or average cartilage thickness and patient demographics, lower limb alignment, Kellgren–Lawrence (KL) grade, and the medial meniscus coverage ratio were assessed using Spearman’s rank correlation coefficient.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;A strong positive correlation was observed between the projected cartilage area ratio and average cartilage thickness in both the MFC (r = 0.96, p &lt; 0.001) and the medial tibial plateau (MTP) (r = 0.96, p &lt; 0.001) (Figure 1). Body weight was not correlated with the projected cartilage area ratio or cartilage thickness; however, BMI showed significant negative correlations with the projected cartilage area ratio (MFC: r = -0.45, p &lt; 0.001; MTP: r = -0.33, p = 0.02) and c","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100305"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524125","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":"HIGH-RESOLUTION 3D IMAGING OF BOVINE TAIL INTERVERTEBRAL DISC DEGENERATION USING IODINE-ENHANCED X-RAY MICROSCOPY","authors":"V. Peitso,&nbsp;S. Das Gupta,&nbsp;S. Kauppinen,&nbsp;M. Risteli,&nbsp;M. Finnilä,&nbsp;A. Mobasheri","doi":"10.1016/j.ostima.2025.100307","DOIUrl":"10.1016/j.ostima.2025.100307","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;The vertebral endplates of the intervertebral disc (IVD) consist of two structurally distinct layers: the cartilaginous endplate (CEP) and the bony endplate (BEP). While most research on IVD degeneration has focused on the biochemical or biomechanical failures of the annulus fibrosus (AF) and nucleus pulposus (NP), the physiology and microstructure of the CEP have often been overlooked. To address this gap, we employed iodine-enhanced X-ray microscopy (XRM) in a bovine tail IVD degeneration model. This approach enabled the simultaneous visualization of soft and hard tissues, with a specific focus on the CEP.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;1) To simultaneously visualize soft and hard tissues in IVDs, with a specific focus on detecting changes in the CEP using iodine-enhanced XRM. 2) To validate the observed structural changes through histological analysis.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;34 IVDs with intact vertebral endplates were harvested from six fresh bovine tails. Samples were cultured in Dulbecco’s Modified Eagle Medium (DMEM) for 11 days under unloaded conditions. On day one, approximately 70-100 μL of chondroitinase ABC (chABC, 0.5 U/mL), a pro-inflammatory cytokine cocktail containing interleukin-1β (IL-1β) and tumor necrosis factor alpha (TNF-α) (each at 100 ng/mL), or a sham control solution of phosphate-buffered saline (PBS) with 0.1% bovine serum albumin (BSA) was injected into the NP using a 21G needle. Additional control samples received no injection. On day 11, IVDs were fixed in 4% formaldehyde and dehydrated. Samples were immersed in 1% (w/v) iodine (I&lt;sub&gt;2&lt;/sub&gt;) in 100% ethanol and stained for a minimum of two weeks. Following staining, samples were washed, embedded in 1% agarose, and imaged with an XRM (Zeiss Xradia Versa 610; source voltage: 60kV; exposure: 4-6 sec; voxel size: 9.9-15.6 µm). Post-imaging, iodine was removed, and samples were decalcified and paraffin-embedded. Thin sections (7-10 µm) were prepared and stained with hematoxylin and eosin (H&amp;E) and safranin-O and fast green. Reconstituted XRM image stacks were processed using built-in noise filtering software (Zeiss). Dragonfly 3D world (Comet) software was used for visualization and segmentation. XRM images were qualitatively compared with histological sections to assess changes in soft and hard tissues (Figures 1 and 2).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;The interface between mineralized and non-mineralized cartilage (tidemark) was visualized using XRM, enabling the identification of calcified cartilage and CEP (Figure 1). Iodine-based contrast provided sufficient resolution to detect structural malalignments among the BEP, CEP, and NP (Figure 2). Notably, even sham injections with PBS induced degenerative changes in the disc.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;CONCLUSION&lt;/h3&gt;&lt;div&gt;Non-destructive iodine-enhanced XRM enables clear visualization of the CEP, providing sufficient contrast to simultaneously assess structural cha","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100307"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524132","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":"EX VIVO IMAGING OF DIFFERENT CALCIFICATION TYPES IN POSTERIOR HORN OF HUMAN MENISCUS USING MICRO-COMPUTED TOMOGRAPHY","authors":"V.P. Karjalainen ,&nbsp;I. Hellberg ,&nbsp;A. Turkiewicz ,&nbsp;B. Shakya ,&nbsp;N. Khoshimova ,&nbsp;E. Nevanranta ,&nbsp;K. Elkhouly ,&nbsp;S. Das Gupta ,&nbsp;A. Sjögren ,&nbsp;M.A.J. Finnilä ,&nbsp;P. Önnerfjord ,&nbsp;V. Hughes ,&nbsp;J. Tjörnstrand ,&nbsp;M. Englund ,&nbsp;S. Saarakkala","doi":"10.1016/j.ostima.2025.100296","DOIUrl":"10.1016/j.ostima.2025.100296","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;Meniscal calcifications are known to be associated with OA. Specifically, two types of calcifications have been commonly identified in osteoarthritic knees: basic calcium phosphate (BCP) and calcium pyrophosphate (CPP). However, their pathological significance remains largely unclear. Characterizing differences between the calcification types and their deposition patterns inside the meniscus could help in their identification with &lt;em&gt;in vivo&lt;/em&gt; imaging modalities and provide a better understanding of the role of meniscal calcifications in the OA disease process.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;1) Identify the two different types of calcifications in human meniscus &lt;em&gt;ex vivo&lt;/em&gt; in 3D using µCT; 2) Describe the different deposition patterns observed in BCP and CPP calcifications.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;From the MENIX biobank in Lund, Sweden, we collected 82 posterior horns of medial and lateral menisci from 20 total knee replacement (TKR) patients and 21 deceased donors (50/50% female/male, average age 71 years) for the study. A 5-mm-thick subsection was dissected from the posterior horn, fixed in formalin, dehydrated, and treated with hexamethyldisilazane (HMDS) before air-drying at room temperature overnight. Subsequently, the HMDS-treaded section was imaged with a desktop µCT imaging (SkyScan 1272, Bruker, micro-CT) with the following settings: 60 kV, 166 µA, 2.0 µm voxel size, 3500 ms exposure time, random movement 25 voxels, and without an additional filter. Two different image reconstruction settings were used to maximize the image quality of meniscal soft tissue and calcifications. Pieces of meniscus adjacent to the µCT underwent histological processing and Alizarin Red staining. Calcification types from the histological sections were identified using Raman micro-spectroscopy.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;We successfully imaged both meniscal calcification types together with soft tissue in 3D using high-resolution µCT (Figure 1). Based on Raman spectral analysis, out of the 82 menisci, 39 had at least one calcification: 28 had BCP calcifications, 8 had CPP calcifications, and 3 had both. In µCT, BCP calcifications were quantitatively denser, morphologically sharper, more punctuated, smaller in size as well as number, and more spherical than CPPs. Unlike CPPs, BCPs were mainly deposited in the periphery of meniscal tissue, inside complex 3D tears or fibrillations. In contrast, the CPP calcifications formed long rod-like structures, mainly inside the meniscal tissue.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;CONCLUSION&lt;/h3&gt;&lt;div&gt;Based on the 3D µCT images, BCP calcifications were not found inside the meniscal tissue but in the peripheral area. This could suggest that larger clusters of BCP calcifications found in the meniscus come from the synovial fluid and possibly originate from articular cartilage or bone. Meanwhile, the likely place for CPPs to accumulate and expand within the meniscal tissue is","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100296"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524184","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":"PAIN PHENOTYPE AS AN EFFECT MODIFIER: EXPLORING THE ROLE OF PAIN-DETECT IN THE ASSOCIATION BETWEEN WOMAC SCORES AND MRI-DETECTED STRUCTURAL DAMAGE","authors":"H. Harandi ,&nbsp;F.W. Roemer ,&nbsp;S. Mastbergen ,&nbsp;J. Collins ,&nbsp;A. Guermazi ,&nbsp;C.K. Kwoh ,&nbsp;T. Neogi ,&nbsp;M. Loggia ,&nbsp;R. Edwards ,&nbsp;E. Duscova ,&nbsp;M. Kloppenburg ,&nbsp;F.J. Blanco ,&nbsp;I.K. Haugen ,&nbsp;F. Berenbaum ,&nbsp;M.P. Jansen ,&nbsp;M. Jarraya","doi":"10.1016/j.ostima.2025.100289","DOIUrl":"10.1016/j.ostima.2025.100289","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;A fundamental challenge in treating patients with OA is the discordance between pain and structural abnormalities, reflecting the fact that numerous factors outside of joint pathology can contribute to the pain experience. Thus, pain in OA represents different phenotypes, including nociceptive and neuropathic-like pain. The Pain-DETECT (PD-Q) can be used to help distinguish between the two, with lower PD-Q scores suggesting nociceptive pain. While associations between different MRI-based MOAKS measures and traditional pain outcomes (such as WOMAC) have been reported, whether those associations are modified by pain phenotype (as assessed by PD-Q) is not known.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;To test whether the association between WOMAC scores and MRI-detected OA structural pathology is modified by PD-Q score.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;We performed a pooled cross-sectional analysis with repeated measures using data from all 4 visits of the IMI-APPROACH cohort (baseline, 6-, 12-, and 24-months), where participants were administered the total WOMAC and PD-Q. For each participant, an index knee with OA was selected based on ACR clinical criteria. MRI of the index knee was obtained for all participants and visits, and scored using MOAKS, including bone marrow lesions (BML); Hoffa’s synovitis and effusion-synovitis. WOMAC scores ranged from 0-96. Participants with no symptoms or functional limitation (WOMAC = 0) were excluded to avoid floor effect. &lt;strong&gt;We conducted the analysis in 3 steps: Step 1:&lt;/strong&gt; We fit linear mixed-effects models with random intercepts for each participant to account for multiple observations per participant and included a MOAKS  ×  PD-Q interaction term to test for effect modification. The MOAKS features we tested included: presence of full-thickness cartilage loss, presence of osteophytes ≥ grade 2, total number of BML, sum of total scores of BML, presence of BML ≥ grade 2, presence of effusion ≥grade 2 and grade 3 separately, presence of synovitis ≥ grade 2 and grade 3 separately, presence of any meniscus tear. &lt;strong&gt;Step 2:&lt;/strong&gt; for each MOAKS measure identified as significant in step 1 (using a liberal threshold of p&lt;0.2) we conducted a Johnson–Neyman (J-N) analysis to locate PD-Q regions where the conditional association between MOAKS and square root of WOMAC (sqrtWOMAC) changed from being statistically significant (using the 95% CI) to non-significant. &lt;strong&gt;Step 3:&lt;/strong&gt; for each MOAKS measure identified in step 1, we stratified the cohort into two PD-Q subgroups (at the J-N cutoff identified in step 2) and refitted stratified linear mixed-effects models to estimate the MOAKS–sqrtWOMAC association within each subgroup.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;We included 287 participants (mean age 66.5 (SD=7.2), 77.7% female, mean/median PD-Q score 9.36 / 9), who contributed 949 observations. Significant effect modification was observed for sum of BML siz","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100289"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522429","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":"FEASIBILITY OF NON-CONTRAST MRI TO DETECT CHANGES IN SYNOVITIS AFTER ACL RECONSTRUCTION SURGERY","authors":"F. Kogan ,&nbsp;K. Stevens ,&nbsp;A. Williams ,&nbsp;C. Chu","doi":"10.1016/j.ostima.2025.100298","DOIUrl":"10.1016/j.ostima.2025.100298","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;Synovitis is a recognized risk factor for post-traumatic osteoarthritis post-ACL reconstruction (ACLR). The reference standard for imaging synovitis is contrast enhanced MRI, but this adds time and cost and may be contraindicated in some patients, which may limit evaluation of this important finding. Recently, several non-contrast MRI methods have shown strong agreement with CE-MRI for semiquantitative assessment of synovitis.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;To evaluate the feasibility of quantitative double-echo in steady-state (qDESS) as a non-contrast MR technique to detect changes in synovitis in patients pre- and post-ACLR.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;14 males and 4 females (age:27±6 years, BMI:24±3 kg/m&lt;sup&gt;2&lt;/sup&gt;) with ACL tears underwent ACLR surgery (mean time from injury to surgery 10±5 weeks) and were scanned on a 3T MR scanner at three timepoints: (1) baseline post ACL tear but before reconstruction, (2) 6-weeks and (3) 6-months after ACLR. At each time point, a 3D qDESS acquisition was performed with parameters: TR/TE1/TE2 = 20.5/6.4/34.6 ms; acquisition resolution = 0.4 × 0.4 × 1.5 mm&lt;sup&gt;3&lt;/sup&gt;; 80 slices; Flip Angle = 20. qDESS synovitis hybrid images were created by a weighted subtraction of the 2&lt;sup&gt;nd&lt;/sup&gt; echo signal from the 1&lt;sup&gt;st&lt;/sup&gt; echo to null signal from joint fluid in order to provide contrast to the synovium. Synovitis was scored in the knee overall and in 4 regional locations by a blinded radiologist on a scale of 0-3 (0 = none to 3 = severe).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;Figure 1 shows a representative case of qDESS synovitis-weighted hybrid images at the three timepoints and their corresponding scores. Figure 2a shows a table of the % of patients (out of 18) that were scored to have improved or worsened synovitis between baseline and 6-weeks post-ACLR and between 6-weeks and 6-months post-ACLR. Overall, there was a clear trend towards synovitis worsening 6-weeks after ACLR and then improving between 6-weeks and 6-months post-surgery. Furthermore, when the 6-week and 6-month timepoints for each patient were compared directly but blinded to order, an improvement in assessed synovitis was observed in a further 82% of overall impressions that were previously scored as no change in blinded and randomized assessments (Figure 2b). Repeated synovitis scoring assessments showed very strong agreement (Gwets AC2&gt;0.80) in overall and sub-region assessments.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;DISCUSSION&lt;/h3&gt;&lt;div&gt;While ground-truth synovitis measures were not available, the qDESS hybrid method was able to detect both worsening synovitis that is expected after ACLR surgery and improvement in synovitis that is expected during the following 5 months of recovery. The lack of differentiation of synovitis changes between timepoints may partly be attributed to the coarseness of the 4-point semi-quantitative Likert-scale which is based on synovial hypertrophy and nodularity In overall a","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100298"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144521548","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":"FROM MENISCAL DEGENERATION TO OSTEOARTHRITIS: TRACKING EARLY DISEASE PROGRESSION WITH MRI-BASED COMPOSITE SCORES: DATA FROM THE OSTEOARTHRITIS INITIATIVE","authors":"J.T. Harvey ,&nbsp;T.E. McAlindon ,&nbsp;J. Baek ,&nbsp;J. MacKay ,&nbsp;M. Zhang ,&nbsp;G.H. Lo ,&nbsp;S.-H. Liu ,&nbsp;C.B. Eaton ,&nbsp;M.S. Harkey ,&nbsp;J.C. Patarini ,&nbsp;J.B. Driban","doi":"10.1016/j.ostima.2025.100290","DOIUrl":"10.1016/j.ostima.2025.100290","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;INTRODUCTION&lt;/h3&gt;&lt;div&gt;Meniscal degeneration predisposes knees without radiographic OA to develop a future meniscal tear and an accelerated onset and progression of OA. Understanding the relationship between meniscal degeneration and OA-related biomarkers in knees without radiographic OA is essential for improving early detection, monitoring disease progression, and developing intervention strategies to prevent or slow the progression of this debilitating condition.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;To explore the relationship between meniscal degeneration (intrameniscal signal alteration without a tear) and future OA pathology measured by composite scores based on MRI: disease activity (BM lesion and effusion-synovitis volumes) and cumulative damage (articular cartilage damage).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;Our sample included 225 participants from the OAI with intact menisci (defined as normal or meniscal degeneration without tear) on MRI and no radiographic knee OA at baseline. There were 110 participants with normal menisci (77% Female, 55 [SD 7] average years of age) and 115 with meniscal degeneration (60% Female, 61 [SD 9] average years of age). We used longitudinal MRIs from an existing study to calculate disease activity and cumulative damage. Negative values represent milder disease activity or cumulative damage than the average of a reference sample, among whom 93% had moderate-severe radiographic knee osteoarthritis (KLG = 3 or 4), and the average WOMAC knee pain score was 5.0 (SD=3.6). MR images were collected at each OAI site using Siemens 3.0 Tesla Trio MR systems and knee coils. Acquisitions included a sagittal IM fat-suppressed sequence (field of view=160mm, slice thickness=3mm, skip=0mm, flip angle=180 degrees, echo time=30ms, recovery time=3200ms, 313 × 448 matrix, x-resolution=0.357mm, y-resolution=0.357mm), which was used to measure BML and effusion-synovitis volumes. Cartilage damage was quantified using a 3D DESS sequence: field of view=140mm, slice thickness=0.7mm, skip=0mm, flip angle=25 degrees, echo time=4.7ms, recovery time=16.3ms, 307 × 384 matrix, x-resolution=0.365mm, y-resolution=0.365mm. We used robust regression models with M estimation and Huber weights 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 gender, race, age, static alignment, and body mass index.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS&lt;/h3&gt;&lt;div&gt;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); this association persisted over time. 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).&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;CONCLUSION&lt;/h3&gt;&lt;div&gt;This","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"5 ","pages":"Article 100290"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522430","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}