Osteoarthritis imaging最新文献

{"title":"PAIN AND STRUCTURAL OA PHENOTYPES: A POLL OF ATTENDEES AT THE OARSI 2024 IMAGING DISCUSSION GROUP SESSION","authors":"M.P. Jansen ,&nbsp;F. Cicuttini ,&nbsp;C.K. Kwoh ,&nbsp;X. Li ,&nbsp;F.W. Roemer ,&nbsp;T. Turmezei ,&nbsp;T.M. Link","doi":"10.1016/j.ostima.2024.100218","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100218","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>The OARSI Imaging Discussion Group was established to stimulate discussion of imaging related research and developments at OARSI with an inclusive group including clinicians, radiologists, imaging researchers and representatives from the pharmaceutical industry. The focus of the 2024 Discussion Group was ‘Pain and Structural Phenotypes’.</p></div><div><h3>OBJECTIVE</h3><p>To gain insights on the relationship between pain and structural damage in OA from attendees at the 2024 OARSI World Congress on Osteoarthritis.</p></div><div><h3>METHODS</h3><p>After short presentations on OA pain phenotypes, structure phenotypes, and the pain and structure challenge, attendees participated in an online poll. Questions were as follows: 1) Which pain questionnaire best captures structural damage? 2) What changes in imaging features are best associated with changes in pain in the same direction? 3) Does structure/composition explain pain? 4a) Should patients with pain sensitization/neuropathic pain be excluded from trials of DMOAD? 4b) If yes – How should we exclude them? 5) Does the relationship between pain and structure differ between joints? 6) Does the relationship between pain and structure differ according to disease stage? 7) What is the reason why we do not find a satisfactory relationship between structure and pain in clinical trials?</p></div><div><h3>RESULTS</h3><p>The number of respondents varied between 18 (Q3-6) and 23 (Q2); 45% of respondents stated that WOMAC pain scores best capture structural damage, followed by KOOS (25%), ICOAP (20%) and VAS (10%). 22% Responded that structure explains pain while 50% and 22% stated that it will once we find the right structural measures or pain measures, respectively. Two of three participants indicated that patients with sensitization/neuropathic pain should be excluded from DMOAD trials; most (78%) stated that this should be done with a questionnaire such as PainDETECT, and 17% with quantitative sensatory testing. 50% of respondents indicated that there is variation between pain and structure in weight-bearing versus non-weight-bearing joints or all joints (39%). All but one participant (94%) indicated that the relationship between pain and structure differs according to both clinical and structural disease stage; the remaining respondent answered that it varies according to structural disease stage only. BMLs and synovitis were identified as imaging features best associated with pain changes (Figure 1). The heterogeneity of patient populations (regarding pain and structure) was the most common reason for lack of a relationship between pain and structure in clinical trials.</p></div><div><h3>CONCLUSION</h3><p>The heterogeneity of pain and structure in OA populations remains a challenge for clinical trials. Considerations should be given to excluding patients with pain due to non-nociceptive pain.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100218"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000461/pdfft?md5=0e77966ae9ab3045bcbf5ab26849dc72&pid=1-s2.0-S2772654124000461-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434390","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 ASSOCIATION OF THE MEDIAL MENISCUS COVERING RATIO WITH KNEE CARTILAGE THICKNESS AT THE MEDIAL FEMORAL CONDYLE AND TIBIAL PLATEAU EVALUATED BY 3D MRI ANALYSIS SOFTWARE","authors":"N. Ozeki ,&nbsp;J. Masumoto ,&nbsp;I. Sekiya","doi":"10.1016/j.ostima.2024.100220","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100220","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Medial meniscus extrusion (MME) leads to reduced coverage of the tibial plateau, causing the development and progression of knee osteoarthritis (OA). The correlation of cartilage thickness measured by 3D MRI and the medial meniscal coverage ratio (MMCR), which presented pathology of the MME in 3D MRI, has not yet been elucidated.</p></div><div><h3>OBJECTIVE</h3><p>To retrospectively verify whether the average cartilage thickness calculated by the automatic MRI 3D analysis system for each subregion was correlated with MMCR.</p></div><div><h3>METHODS</h3><p>A total of 60 patients underwent medial meniscus repair or high tibial osteotomy to treat their medial knee OA. MRI was performed at 3.0 T (Achieva 3.0TX, Philips, Netherlands). Sagittal planes of the knee joints were acquired to obtain both fat-suppressed spoiled gradient echo sequence images and proton-weighted images. The MRI DICOM data were read by the SYNAPSE VINCENT 3D software (JSYNAPSE VINCENT, FUJIFILM Corp., Tokyo, Japan). Cartilage thickness and MMCR were automatically calculated using this software. The MMCR 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 (Figure 1). The association between MMCR and the average cartilage thickness at 15 subregions in the medial femoral condyle (MFC) and medial tibial plateau (MTP) was evaluated using Spearman's rank correlation coefficient.</p></div><div><h3>RESULTS</h3><p>KL grade exhibited a negative correlation with MMCR and a positive correlation with MME width. Cartilage thickness in the MTP had a moderately positive correlation with MMCR at four subregions, and a weakly positive correlation at another subregion. Cartilage thickness in the MFC showed a moderately positive correlation with MMCR at five subregions and a weakly positive correlation at one subregion.</p></div><div><h3>CONCLUSION</h3><p>Cartilage thickness calculated by automatic MRI 3D analysis system had a positive correlation with MMCR for all subregions of the anterior and middle subregions in the MFC, and for five regions of nine subregions of the anterior and middle subregions in the MTP.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100220"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000485/pdfft?md5=5bc2b5eeec38010d57b4890a0b7425d3&pid=1-s2.0-S2772654124000485-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434392","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":"ASSOCIATION OF MRI-DEFINED STRUCTURE FEATURES AT BASELINE WITH KNEE PAIN TRAJECTORIES","authors":"S. Liu ,&nbsp;X. Sun ,&nbsp;Y. Ge ,&nbsp;T.N. Duong ,&nbsp;C.K. Kwoh","doi":"10.1016/j.ostima.2024.100187","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100187","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Characterizing knee pain trajectories and understanding differences among knee pain trajectories have enormous potential to enhance our understanding of knee pain mechanisms and promote the development of customized treatment and management plans. In addition, identifying different knee pain trajectories can facilitate more efficient and effective clinical trial designs by identifying subgroups of patients who have worse knee pain trajectories and should be targeted for treatment vs. those who have minimal or mild disease trajectories who may not need treatment. The complexity of knee pain reporting has not been systematically considered in prior studies, however. Thus, there is an urgent need to conduct knee pain phenotyping in large longitudinal cohort studies in order to better understand the etiology of knee pain in OA.</p></div><div><h3>OBJECTIVES</h3><p>1) To identify diverse knee pain trajectories in the OAI studies using different knee pain measurements over time; and 2) To investigate the potential association between baseline MRI-detected structural changes and distinct temporal knee pain phenotypes.</p></div><div><h3>METHODS</h3><p>To achieve our objectives, we employed a two-stage strategy. In Stage 1, we initially identified 2560 knees with a baseline WOMAC pain score of 0 from the OAI study. Employing Group-Based Multi-Trajectory Modeling (GBMTM), a maximum likelihood statistical technique rooted in finite mixture modeling, we categorized these knees into three subgroups, each of which demonstrates distinct trajectories over ten years across four key variables: Numerical Rating Scale (NRS) for severity, KOOS knee pain frequency (i.e., none, monthly, weekly, daily), WOMAC disability score, and WOMAC pain score. Subsequently, in Stage 2, we utilized a logistic regression model to examine the relationship between the Group 3 knee pain trajectory identified in Stage 1 vs. Group 1 and Group 2 combined into a reference group, and various MRI-defined features independently, including BML (sum of size scores in 15 sub-regions), cartilage (sum of surface scores and sum of depth scores in 14 sub-regions), Hoffa-synovitis, and effusion-synovitis (ES), as graded by the MRI Osteoarthritis Knee Score (MOAKS). Adjustments were made for age, gender, race, and BMI. This analysis involved a subsample size of 716 knees for which MOAKS readings were available.</p></div><div><h3>RESULTS</h3><p>Figure 1 illustrates the outcomes of GBMTM analysis, revealing three distinct knee pain phenotypes: Group 1 (1114 knees; depicted in red) and Group 2 (989 knees; depicted in green) exhibit non-progressive and slowly progressive patterns, respectively, while Group 3 (457 knees; depicted in blue) demonstrates a rapid progression trajectory. Figure 2 a) displays the bivariate results. Females exhibit an odds ratio (OR) of 1.39 (95% confidence interval [CI]: 1.02, 1.89) for belonging to the fast progressive phenotype. Furthermore, each uni","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100187"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000151/pdfft?md5=14418c526c928bc233feda4d9dbc4538&pid=1-s2.0-S2772654124000151-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434929","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 PRESENCE OF HIP PAIN DOES NOT MODIFY THE ASSOCIATION BETWEEN HIP MORPHOLOGY AND INCIDENT RADIOGRAPHIC HIP OA WITHIN 5-8 YEARS","authors":"F. Boel ,&nbsp;M.A. van den Berg ,&nbsp;N.S. Riedstra ,&nbsp;M.M.A. van Buuren ,&nbsp;J. Tang ,&nbsp;S.M.A. Bierma-Zeinstra ,&nbsp;D. Felson ,&nbsp;J.A. Lynch ,&nbsp;A.E. Nelson ,&nbsp;M. Nevitt ,&nbsp;J. Runhaar ,&nbsp;R. Agricola","doi":"10.1016/j.ostima.2024.100201","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100201","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Different hip morphologies have been shown to be risk factors for hip OA. However, the associations found differ in size and are sometimes even contradictory. Different follow-up times, radiographic hip OA (RHOA) definitions, and quantification of hip morphology might explain these conflicting results. Additionally, previous studies have shown that hip pain in combination with a different hip morphology might alter the association with incident RHOA.</p></div><div><h3>OBJECTIVE</h3><p>We aimed to investigate whether hips with both hip pain and different morphologies, i.e., acetabular dysplasia, pincer and cam morphology, had a different association with the development of incident RHOA compared to asymptomatic hips with the same morphology.</p></div><div><h3>METHODS</h3><p>Individuals from three prospective cohort studies, Cohort Hip and Cohort Knee (CHECK), Johnston County Osteoarthritis Project (JoCoOA) and the Multicenter Osteoarthritis Study (MOST), were included in the current study. Standardized anteroposterior (AP) pelvic or long-limb radiographs were taken at baseline and follow-up (CHECK 8 years, JoCoOA 6 years, MOST 5 years). Incident RHOA was defined at follow-up as KLG ≥ 2 or total hip replacement. The presence of hip pain was self-reported through survey questions and dichotomized. Hip morphology was automatically quantified on the baseline radiographs using an in-house developed, validated pipeline. Acetabular dysplasia was defined by a Wiberg center edge angle (WCEA) ≤ 25°, pincer morphology was defined by a lateral center edge angle (LCEA) ≥ 40°, and cam morphology was defined by an alpha angle ≥ 60°.</p><p>Hips free of RHOA (KLG 0) at baseline, with available baseline age, body mass index (BMI), hip morphology measurements, and follow-up KLG were included. When assessing acetabular dysplasia, all hips with pincer morphology were excluded from the dataset, and vice-versa, so that the reference group only consisted of hips with a normal femoral head coverage by the acetabulum. This resulted in the inclusion of 1,768 participants for acetabular dysplasia, 1,526 participants for pincer morphology, and 1,985 participants for cam morphology, see Table 1.</p><p>Three generalized mixed-effects logistic regression models with the interaction between hip pain and morphology were employed. These models included three random effect levels (cohort, individual, hip side) and were adjusted for age, biological sex, and body mass index (BMI). Associations were expressed as adjusted odds ratios (aORs) or ratios of aORs with 95% confidence intervals (CIs).</p></div><div><h3>RESULTS</h3><p>No significant interactions between hip morphology and pain and the development of incident RHOA were found, see Table 2. Additionally, only cam morphology was significantly associated with incident RHOA in asymptomatic hips, aOR 4.7 (95% CI 2.0 – 11.2).</p></div><div><h3>CONCLUSION</h3><p>The presence of hip pain was not an effect mod","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100201"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000291/pdfft?md5=89af19d64e9ed9d05307dd113f4a1d01&pid=1-s2.0-S2772654124000291-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434945","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":"LRRC15, A POTENTIAL KEY PLAYER IN CARTILAGE OSSIFICATION IN OSTEOARTHRITIS DISEASE","authors":"Y. Hamdan ,&nbsp;A. Bedraoui ,&nbsp;L. Mazini ,&nbsp;S. Zayane ,&nbsp;B. Essadki ,&nbsp;T. Daouda ,&nbsp;R. El Fatimy","doi":"10.1016/j.ostima.2024.100215","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100215","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>OA is a joint condition characterized by cellular stress and the deterioration of the ECM. Its onset is manifested by both minor and major injuries triggering molecular, anatomical, and physiological disturbances. Minor alterations initiate OA by disrupting chondrocyte equilibrium, promoting an hypertrophic state causing cartilage degeneration by impacting not only cartilage itself but all tissues within the joint.</p></div><div><h3>OBJECTIVE</h3><p>This study aims to investigate the transcriptional alterations present in the knee joint tissues for both OA patients and healthy individuals, with a focus on identifying potential genes implications for the development of OA and cartilage ossification.</p></div><div><h3>METHODS</h3><p>We used eight datasets from the NCBI Gene Expression Omnibus and categorize it into three groups: 1) mRNA expression profiling, which contains joint synovial biopsies, cartilage stromal cells and mesenchymal stromal cells, cartilage tissues, and peripheral blood mononuclear cells (PBMC); 2) non-coding RNA (miRNA) profiling, encompassing two synovial membrane datasets and plasma from OA patients; and 3) single-cell sequencing, including synovial membrane and cartilage from the same patients and subchondral bone. An independent differentially expressed genes (DEG) analysis was performed on each dataset using EdgeR and gene ontology was investigated.</p></div><div><h3>RESULTS</h3><p>Our findings indicated various DEGs in the different tissues, with three upregulated genes (COL1A1, COL11A1, and LRRC15) and six downregulated genes in mRNA datasets after overlapping. For miRNA datasets, two miRNAs were downregulated and only one miRNA was upregulated. Target research revealed that miR-1-3p targets COL1A1, COL11A1, and LRRC15 from one of miRNA. Gene ontology identified structures involved in collagen, cartilage formation, and mechanical response. We used single cell sequencing to identify cell populations in cartilage, synovial membrane, and subchondral bone. COL1A1 was found in all cell types in the synovial membrane, cartilage cells, and subchondral bone chondrocytes. Subchondral bone and cartilage chondrocytes expressed COL11A1, while synovial membrane cells did not. LRRC15 is expressed in synovial fibroblasts, cartilage progenitors, subchondral bone chondrocytes, and cartilage fibrochondrocytes. The heatmap and bar chart analyses supported these findings, demonstrating gene expression differences and correlation scores between the OA and control groups.</p></div><div><h3>CONCLUSIONS</h3><p>Our results identified LRRC15, COL11A1, and COL1A1 as potential genes that may play a role into the anabolic phenotypic change and disruption of extracellular matrix remodeling, providing an intriguing insight into the change alterations happening in joint tissues during OA. In animal models, LRRC15 has been linked to changes in chondrocyte phenotype, stress response coordination, and ECM degradation. Further","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100215"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000436/pdfft?md5=3590da44f3861cd6fbbafbd76d5250e6&pid=1-s2.0-S2772654124000436-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434387","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":"AN INTEGRATED, MULTIMODAL IMAGING APPROACH TO ASSESS FUNCTIONAL JOINT PATHOMECHANICS, PATHOPHYSIOLOGY AND STRUCTURAL CHANGES IN EARLY-STAGE KNEE OSTEOARTHRITIS","authors":"N.B.J. Dur ,&nbsp;W. Schallig ,&nbsp;E.M. Macri ,&nbsp;M.G.H. Wesseling ,&nbsp;R.A. Van der Heijden ,&nbsp;J. Harlaar ,&nbsp;S. Bierma-Zeinstra ,&nbsp;E.H.G. Oei","doi":"10.1016/j.ostima.2024.100203","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100203","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Joint pathomechanics is considered one of the key etiological factors in OA genesis and progression. Numerous studies have assessed joint biomechanics in advanced stages of OA, mainly in the knee. However, little is known about its role in the onset and progression in earlier stages of OA and specifically how cartilage loading relates to OA-related structural features. This is partly due to limitations of conventional optical motion capture (OMC) systems, with measurement errors that often exceed the subtle changes in movement patterns to be expected in early-stage OA. Hence, OMC-based studies in early OA often report inconclusive or conflicting results. Fluoroscopy is an imaging technique that, combined with a 3D bone model, can be used to very accurately assess 3D bone orientations during weight-bearing functional tasks, thereby overcoming the limitations of OMC. Additionally, novel combination of sodium fluoride (¹⁸F-NaF) positron emission tomography (PET) with MRI can be used to assess pathophysiology (i.e. subchondral bone metabolism and cartilage composition) and structural changes. A unique combination of these complementary technologies could elucidate their relationship in early-stage OA.</p></div><div><h3>OBJECTIVE</h3><p>We aim to develop an integrated, multimodal imaging-based approach to assess joint pathomechanics, pathophysiology and structural changes. By using high-fidelity biomechanical and PET/MRI measurements, we intent to gain insight into the relationship between cartilage load, bone metabolism and structural changes in early stages of knee OA.</p></div><div><h3>METHODS</h3><p>We are establishing a beyond state-of-the-art biomechanics lab at our institution, combining a monoplanar fluoroscopy setup with a conventional OMC system including an instrumented treadmill. We will use intensity-based image registration to estimate 3D-bone positions from fluoroscopy, using MR images (multi-echo gradient-echo sequence) that we will convert to a pseudo-CT. These methods will provide us highly accurate joint kinematics, from which joint contact forces, cartilage load distributions and cartilage stress and strain can be derived by using personalized musculoskeletal and finite-element models. Our MRI protocol additionally facilitates semi-quantitative evaluation of OA-related structural features using the MRI Osteoarthritis Knee Score (MOAKS), assessment of cartilage composition (T1-rho and T2-mapping) and quantitative assessment of synovitis (dynamic contrast enhanced imaging). This will be combined with dynamic ¹⁸F-NaF PET-imaging to quantitatively evaluate subchondral bone metabolism.</p></div><div><h3>RESULTS</h3><p>We have developed a PET/MRI protocol and are developing our fluoroscopy processing workflow. With these methods we will start our clinical studies in the summer of 2024 involving ACL-reconstructed individuals and overweight individuals with early-stage symptomatic knee OA<","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100203"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277265412400031X/pdfft?md5=b2af190bea13c1dc1b6f0f4623454f70&pid=1-s2.0-S277265412400031X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433959","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":"[11C]-PBR28 POSITRON EMISSION TOMOGRAPHY SIGNAL AS AN IMAGING BIOMARKER OF JOINT INFLAMMATION AND PAIN IN KNEE OSTEOATHRITIS","authors":"A. Sandström ,&nbsp;A. Torrado-Carvajal ,&nbsp;E.J. Morrissey ,&nbsp;M. Kim ,&nbsp;Z. Alshelh ,&nbsp;Y. Zhu ,&nbsp;M.D. Li ,&nbsp;C.Y. Chang ,&nbsp;M. Jarraya ,&nbsp;O. Akeju ,&nbsp;A. Schrepf ,&nbsp;R.E. Harris ,&nbsp;Y.-M. Kwon ,&nbsp;H. Bedair ,&nbsp;A.F. Chen ,&nbsp;N.D. Mercaldo ,&nbsp;N. Kettner ,&nbsp;V. Napadow ,&nbsp;N. Toschi ,&nbsp;R.R. Edwards ,&nbsp;M.L. Loggia","doi":"10.1016/j.ostima.2024.100195","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100195","url":null,"abstract":"<div><h3>BACKGROUND</h3><p>[¹¹C]-PBR28 is a positron emission tomography (PET) radioligand targeting the 18-kDa translocator protein (TSPO). The expression of this protein is highly upregulated in the central nervous system (CNS) during neuroinflammatory responses (mostly glial cells). TSPO PET radioligands are also expressed outside of the CNS in the peripheral/circulating immune cells. As a result, TSPO has been used as a marker of peripheral (in addition to central) inflammation. For instance, elevated uptake of [¹¹C]-PBR28 signal has been reported in ipsilateral lumbar neuroforamen, among patients with lumbar radiculopathy. Furthermore, a recent study among patients with rheumatoid arthritis showed significantly higher [¹¹C]-PBR28 signal in affected knees compared with healthy knee joints. The highest TSPO expression was reported on activated fibroblast-like synoviocytes as well as undifferentiated and reparative macrophages. However, no study has yet imaged [¹¹C]-PBR28 PET uptake in a group of knee osteoarthritis (OA) patients.</p></div><div><h3>PURPOSE</h3><p>To evaluate the role of TSPO as an imaging marker of peripheral noxious-driven knee pain among patients with advanced knee OA, and to test its associations with clinical variables.</p></div><div><h3>METHODS</h3><p>Twenty-one knee OA patients scheduled to undergo a total knee arthroplasty (TKA) and 11 healthy controls (HC) underwent positron emission tomography/magnetic resonance imaging (PET/MRI) knee imaging with the TSPO ligand [¹¹C]-PBR28. At the imaging visit, participants were asked to rate their average experienced pain intensity in the past week on a numerical rating scale (NRS), and to complete the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Preoperative knee radiographs were retrospectively scored for KL grade by a trained musculoskeletal radiologist. Standardized uptake values were extracted from regions-of-interest (ROIs) semiautomatically segmented from MRI data, and compared across groups (HC, KOA) and subgroups (unilateral/bilateral KOA symptoms), across knees (most vs least painful), and against clinical variables (e.g., pain and Kellgren–Lawrence [KL] grades). Statistical analyses were performed in R (Version 4.2.0).</p></div><div><h3>RESULTS</h3><p>Patients characteristics are shown in <strong>Table 1</strong>. Overall, knee OA patients demonstrated elevated [¹¹C]-PBR28 binding across all knee ROIs, compared with HC (all P's &lt; 0.005). PET signal was higher in the most vs least painful knee (P &lt; 0.001) (<strong>Figure 1</strong>), and the difference in pain ratings (NRS) across knees was proportional to the difference in PET signal (r = 0.74, P &lt; 0.001). there were no significant associations between any of the WOMAC scores (subscores or total sum) and the PET signal of either left and right knees (averaged) (all R's = between -0.24 and -0.07; all P's&gt;0.3) or the mo","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100195"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000230/pdfft?md5=c36c63903d80d6b55bbe93df6fcef356&pid=1-s2.0-S2772654124000230-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434943","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":"Posters","authors":"","doi":"10.1016/S2772-6541(24)00056-4","DOIUrl":"https://doi.org/10.1016/S2772-6541(24)00056-4","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100228"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000564/pdfft?md5=a1ce58b8c60182e7405a7a93335f1026&pid=1-s2.0-S2772654124000564-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434986","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":"COMPUTED TOMOGRAPHY OSTEOARTHRITIS KNEE SCORE (COAKS) REVEALS PATTERNS IN FEATURE AND COMPARTMENTAL CONTRIBUTIONS TO WHOLE JOINT OSTEOARTHRITIS LOAD","authors":"T.D. Turmezei ,&nbsp;J.H. Jeon ,&nbsp;Z. Akkaya ,&nbsp;N.A. Segal","doi":"10.1016/j.ostima.2024.100213","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100213","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>The Computed Tomography Osteoarthritis Knee Score (COAKS) has been shown to be reliable in semi-quantitatively assessing structural knee OA from weight-bearing CT (WBCT), as well as being able to display feature scores across different compartments as phenotype heat maps. COAKS has the advantage of being able to assess structural features of OA at the knee joint in 3-D, which may reveal insights into disease patterns beyond the scope of radiography.</p></div><div><h3>OBJECTIVE</h3><p>To evaluate the distribution of structural features and multi-compartmental involvement as a proportion of whole knee joint OA burden using COAKS.</p></div><div><h3>METHODS</h3><p>96 bilateral knee WBCT examinations were sourced from existing research projects at the Department of Rehabilitation Medicine, University of Kansas Medical Center, USA. An experienced musculoskeletal radiologist (TT) chose one knee from each participant to provide a study group with a subjectively wide range of disease. Stratification by existing radiographic scoring systems was purposefully avoided. Demographic information was also not included in this structural analysis. Each knee was scored by a single trained observer (JJ) using the COAKS atlas guide and 4-point system (0-3) for each OA feature (J = joint space width; O = osteophytes; C = subchondral cysts; S = subchondral sclerosis) in each joint compartment (MTF = medial tibiofemoral; LTF = lateral tibiofemoral; PF = patellofemoral; PTF = proximal tibiofibular), summing up to a total joint score out of possible maximum of 48. Descriptive analysis was performed by looking at the relative contribution of individual structural feature scores and individual compartment scores as a proportion of the whole joint score.</p></div><div><h3>RESULTS</h3><p>The histogram of score distributions is presented in Figure 1. Median whole joint score was 18.5 points with an interquartile range of 9 to 27.25 and overall range of 3 to 45. The lowest quartile scores were considered “initial” structural disease, uppermost quartile scores “widespread” disease, and those within the interquartile range “intermediate” disease. Using these boundary definitions, a pattern of MTF predominance was seen in “initial” whole joint disease, logically levelling out across all compartments when “widespread”, but still with heterogeneity in compartmental contributions at all stages (Figure 2). Alongside MTF involvement, “initial” disease tended to include predominantly LTF involvement to a greater extent than PF involvement, with the opposite predominance of PF over LTF involvement in “intermediate” disease: this suggests some exclusivity between LTF and PF involvement before widespread disease is established. Reasonably uniform contributions were seen from the PTF compartment across all disease stages, suggesting that this compartment is linked to whole overall joint OA burden. From a structural feature perspective, knees with “initial” disea","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100213"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000412/pdfft?md5=77831b077faaf3b6aa85b8c00e83b1a2&pid=1-s2.0-S2772654124000412-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433896","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":"SEX-DIFFERENCES IN RADIOGRAPHIC KNEE JOINT SPACE WIDTH (JSW) ACROSS OA STAGES, AND “GENUINE” SEXUAL DIMORPHISM IN JSW AND QUANTITATIVE CARTILAGE METRICS","authors":"S. Maschek ,&nbsp;W. Wirth ,&nbsp;F. Eckstein","doi":"10.1016/j.ostima.2024.100219","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100219","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Radiographic joint space width (JSW) represents the traditional outcome variable for determining structural progression in knee OA [1]. The minimal distance in the medial compartment (mmJSW) is therefore often used as an entrance criterion for disease modifying OA drug (DMOAD) trials, to warrant a dynamic window for measuring JSW reduction over time [2]. Selecting participants above a certain mmJSW threshold may, however, favor inclusion of men (who generally exhibit greater body height and potentially JSW). In addition, for various cartilage metrics it is unclear whether sex-differences are truly genuine (independence of differences in anthropometrics variables that differ between women (W) and men (M)).</p></div><div><h3>OBJECTIVE</h3><p>We therefore studied to what extent JSW depends on sex in healthy participants and those with radiographic OA. Since adjustment for confounders and allometric modeling has limitations, we additionally explored sex-differences in cartilage metrics in subjects without radiographic disease, after closely matching for anthropometrics variables.</p></div><div><h3>METHODS</h3><p>In the OAI, mmJSW measurements and medial compartment joint space narrowing (JSN) grades (OARSI atlas) were obtained from weightbearing, fixed flexion X-ray. Here we studied the right knee from OAI healthy reference cohort (HRC) participants (n=35M, n=50W) that exhibited no (radiographic) signs, symptoms, or risk factors of OA, and OAI incidence and progression cohort knees, with medial JSN0 (50M, 124W), JSN1 (98M, 160W), JSN2 (154M, 169W), and JSN3 (44M, 28W). Knees with lateral JSN&gt;0 were excluded. Of 1113 OAI participants (HRC and incident cohort), 767 had manual quantitative femorotibial cartilage measurements. Knees of M and W were matched (1:1) with the same body height (±1cm), body mass index (BMI; ±2kg/m2), and age (±5y) amongst participants without radiographic knee OA in both knees. 63 pairs could be precisely matched.</p></div><div><h3>RESULTS</h3><p>A statistically significant 18% (0.8mm; p&lt;0.001) difference of mmJSW between M vs. W was found in HRC knees and a 17% (0.8mm; p&lt;0.001) difference in medial JSN0 knees (Fig. 1). The sex-difference became less with increasing medial JSN grade; it was only 10% (0.4mm; p&lt;0.001) in JSN1, 12% (0.3mm; p&lt;0.001) in JSN2, and 0% (0mm; p=0.91) in JSN3 knees (Fig. 1). After matching for height, BMI, and age, M still exhibited a 17% greater mmJSW, 11% greater femorotibial cartilage thickness, 10% greater joint surfaces, and 23% greater cartilage volume, all differences being statistically significant (p&lt;0.01; Fig. 2). Results for the medial/lateral femorotibial compartment were similar.</p></div><div><h3>CONCLUSION</h3><p>mmJSW is greater in M than W, particularly prior to the onset of radiographic OA and also when matching for anthropometric variables. Previously, cartilage and meniscus metrics were found to contribute differently to mmJSW in M and W ","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100219"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000473/pdfft?md5=c575680e2844c414c04567e2ed05260d&pid=1-s2.0-S2772654124000473-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434016","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}