Osteoarthritis imaging最新文献

{"title":"DXA IMAGES ARE A RELIABLE ALTERNATIVE TO PELVIC RADIOGRAPHS FOR PERFORMING HIP MORPHOLOGY MEASUREMENTS","authors":"F. Boel,&nbsp;J. Wortel,&nbsp;M.M.A. van Buuren,&nbsp;F. Rivadeneira,&nbsp;J.B.J. van Meurs,&nbsp;J. Runhaar,&nbsp;S.M.A. Bierma-Zeinstra,&nbsp;R. Agricola","doi":"10.1016/j.ostima.2024.100207","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100207","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Large cohort studies on hip OA usually obtain anteroposterior (AP) pelvic radiographs. Nevertheless, the image quality of a hip dual-energy x-ray absorptiometry (DXA) has increased significantly with new-generation scanners using narrow-angle fan-beam technology. Therefore, DXA images are increasingly used to study hip morphology, especially in large population studies. One of the main advantages of hip DXA images is the lower radiation burden of 0.36-70 µSv compared to hip or pelvic radiographs with an effective dose of 600-700 µSv. However, the image acquisition method is different between radiographs and DXA images. Therefore, whether hip morphology measurements are consistent between DXA images and radiographs is unknown.</p></div><div><h3>OBJECTIVE</h3><p>We investigated the agreement and reliability of the measurements performed on DXA and radiographs.</p></div><div><h3>METHODS</h3><p>We included 750 hips from 411 participants from the Rotterdam study, a population-based cohort study, who received a hip DXA and pelvic radiograph on the same day. The participants had a median age of 67.3 years (range 52.2 – 90.6), 45.5% were male, with a median BMI of 26.2 kg/m² (range 16.9 – 39.5). The acetabular depth-width ratio (ADR), modified acetabular index (mAI), alpha angle (AA), Wiberg and lateral center edge angle (WCEA, LCEA), extrusion index (EI) and triangular index ratio (TIR) were automatically determined on both imaging modalities, based on 38 landmark points. The intraobserver and intermethod agreement were studied using Bland-Altman methods, and the reliability was assessed using ICCs or concordance correlation coefficients (CCC) for non-normal distributed variables. Intraobserver reliability was tested with a 2-way random-effects model, single rater, absolute agreement ICC. Intermethod reliability was tested with a 2-ways mixed-effects model, single rater, absolute agreement ICC.</p></div><div><h3>RESULTS</h3><p>The mean values of each measurement on both DXA and pelvic radiograph, as well as the intraobserver and intermethod mean difference with limits of agreement (95% CIs) from the Bland-Altman methods, are summarized in Table 1. The limits of agreement for the intraobserver agreement within each imaging modality consistently demonstrated equal or narrower limits of agreement compared to the intermethod agreement.</p><p>Table 2 shows the intraobserver and intermethod reliability for all measurements. The intraobserver reliability was better than the intermethod reliability. However, the intermethod reliability was overall good.</p></div><div><h3>CONCLUSION</h3><p>DXA images and pelvic radiographs can both reliably be used to study hip morphology. Due to the lower radiation burden, DXA images can be an excellent alternative to pelvic radiographs for research purposes.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100207"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000357/pdfft?md5=fdda28aed18d43a87c64bc8719e388dc&pid=1-s2.0-S2772654124000357-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434948","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":"INTERIM REVIEW OF EFFICACY FROM A FIRST-IN-HUMAN PHASE 1/2A CLINICAL STUDY OF ICM-203, AN INTRA-ARTICULAR, AAV GENE THERAPY FOR OSTEOARTHRITIS","authors":"A.E. Heald ,&nbsp;Y.N. Yum ,&nbsp;Y. Ahn ,&nbsp;J. Myung ,&nbsp;J.E. Collins ,&nbsp;A. Guermazi ,&nbsp;D.W. Kim","doi":"10.1016/j.ostima.2024.100189","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100189","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>ICM-203, a recombinant AAV vector designed to express a truncated form of human Nkx3.2, a transcription factor which plays an important role in both chondrocyte and synoviocyte activity, is in clinical development as a potential DMOAD.</p></div><div><h3>OBJECTIVE</h3><p>An objective of this first-in-human phase 1/2a study is to assess the biological activity of ICM-203 by correlating changes in structural MRI findings with changes in measures of pain and function.</p></div><div><h3>METHODS</h3><p>In this double-blind, placebo-controlled, dose escalation study, subjects with KLG 2 or KLG 3 knee OA and minimum JSW &gt; 1mm receive a single intra-articular (IA) injection of ICM-203 or placebo in a 3:1 ratio, with planned dose escalation of ICM-203 from 6 × 10¹² vector genomes (vg) to 2 × 10¹³ vg and then 6 × 10¹³ vg. The primary efficacy endpoints are changes in knee pain as assessed on a numerical rating scale (NRS); changes in knee function as measured using the Knee Injury and Osteoarthritis Outcome Score (KOOS) activities of daily living (ADL) subscore, as well as structural knee changes, including changes in MRI OA Knee Score (MOAKS). Here, blinded efficacy data from 8 subjects in the low-dose cohort treated with ICM-203 (n=6) or placebo (n=2) are reported.<figure><img></figure></p></div><div><h3>RESULTS</h3><p>The low-dose cohort consisted of females aged 56 to 73 years, all with KLG 3 knee OA. Knee pain (NRS) decreased in 6 of 8 subjects and knee function (KOOS ADL) improved in 4 of 8 subjects between Day 1 and Week 52. Cartilage thickness was preserved or improved in 5 of 8 subjects and BM lesions improved in 3 of 8 subjects at Week 52. Osteophytes were unchanged in 7 of 8 subjects and only worsened minimally in 1 of 8 subjects at Week 52. Synovitis (Hoffa + effusion) improved at Week 52 in 2 of 2 subjects with more severe inflammation (synovitis score &gt;4) at baseline. Evaluation of changes between baseline and Week 24 and baseline and Week 52 show that a decrease in the number of subregions with BM lesions was correlated with decrease in knee pain (NRS) and improvement in knee function (KOOS ADL).</p></div><div><h3>CONCLUSION</h3><p>IA injections of ICM-203 6 × 10¹² vg may demonstrate potential as a DMOAD, between delaying structural joint damage, alleviating synovial inflammation, and ameliorating OA symptoms. Decrease in the number of subregions with BM lesions correlated with decrease in pain and improvement in function. Investigation of higher doses is underway.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100189"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000175/pdfft?md5=7e422fb5b0021b97c4f0d4657ea48204&pid=1-s2.0-S2772654124000175-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434954","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":"Committee Members","authors":"","doi":"10.1016/S2772-6541(24)00054-0","DOIUrl":"https://doi.org/10.1016/S2772-6541(24)00054-0","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100226"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000540/pdfft?md5=67dbbc05ad1d1a178dd4daee126f36a0&pid=1-s2.0-S2772654124000540-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434984","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":"Sponsors","authors":"","doi":"10.1016/S2772-6541(24)00057-6","DOIUrl":"https://doi.org/10.1016/S2772-6541(24)00057-6","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100229"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000576/pdfft?md5=44d53799e833c3006587ef372e3bc101&pid=1-s2.0-S2772654124000576-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434987","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 METACARPAL CORTICAL THICKNESS WITH HAND OA","authors":"J. Duryea ,&nbsp;J.B. Driban ,&nbsp;C.B. Eaton ,&nbsp;L.F. Schaefer ,&nbsp;M.B. Roberts ,&nbsp;J.A. Cauley ,&nbsp;T.E. McAlindon ,&nbsp;S.E. Smith","doi":"10.1016/j.ostima.2024.100197","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100197","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Metacarpal cortical thickness (MCT), a surrogate for bone density, has been well studied in people with rheumatoid arthritis but much less so for hand OA (HOA).</p></div><div><h3>OBJECTIVE</h3><p>To investigate the association of MCT with radiographic HOA severity.</p></div><div><h3>METHODS</h3><p>We performed a software measurement of MTC on the dominant hand radiograph of 3,575 participants from the OAI at the baseline and 48-month visits. Spearman's rank correlation coefficients (rho) were calculated for the association of baseline MTC and 2 measures of baseline HOA severity: the sum of Kellgren and Lawrence (KL) grade and total number of joints with radiographic HOA. Longitudinally, logistic regression with odds ratios were used to assess the relationship of MTC loss to new finger joint radiographic OA and an increase in KL grades. The results were stratified by gender and into two age groups: 45-60 years and &gt; 60 years.</p></div><div><h3>RESULTS</h3><p>The baseline results are in Table 1, and the longitudinal results are in Table 2. For women, we found a weak correlation between baseline MTC and ROA for ages 45-60 years; the correlation was higher for the &gt; 60 years age group. For MTC change, we found higher odds ratios in women for the 45-60 year group than for the &gt; 60 year group. No significant correlations were seen between MCT and HOA for men either cross-sectionally or longitudinally.</p></div><div><h3>CONCLUSION</h3><p>We found significant associations between MCT and ROA status in women for both baseline and 48-month change but not for men. The consideration of differences between men and women may have implications for understanding the structural nature of HOA. It may be important in developing targeted interventions to manage symptoms and improve outcomes for affected individuals.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000254/pdfft?md5=194df4066d91c153c191b112812aa420&pid=1-s2.0-S2772654124000254-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434949","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":"TWO-YEAR'S WORSENING OF SEMI-QUANTITATIVE MRI FEATURES AS SURROGATE OUTCOMES FOR LONG-TERM INCIDENT RADIOGRAPHIC KNEE OSTEOARTHRITIS AFTER ACL-RUPTURE","authors":"J. Runhaar ,&nbsp;B.L. van Meer ,&nbsp;V. Smit ,&nbsp;M. Minnaard ,&nbsp;E. Oei ,&nbsp;M. Reijman ,&nbsp;D.E. Meuffels","doi":"10.1016/j.ostima.2024.100208","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100208","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>With an annual incidence rate of 2-5% in high-risk populations, the use of established knee OA as an outcome challenges the feasibility of preventive OA research. Therefore, valid surrogate outcomes, for which short-term changes capture long-term OA incidence, are urgently needed.</p></div><div><h3>OBJECTIVE</h3><p>To assess the association of 2-year's semi-quantitative scores for BMLs, cartilage defects, osteophytes, meniscus pathologies, meniscus extrusion, and effusion/synovitis worsening on MRI and 11-year's incidence of radiographic OA, among subjects with an ACL-rupture.</p></div><div><h3>METHODS</h3><p>154 individuals (18-45 years) with an ACL-rupture confirmed by physical examination and MRI, free of radiographic features of knee OA (KLG = 0), were enrolled in the study within 6 months of their injury. At baseline and at two years, multi-sequential MRIs were obtained (sag. and cor. proton density–weighted turbo spin echo (slice thickness, 3 mm; TR/TE 2700/27 ms), cor. T2-weighted TSE with fat saturation (slice thickness, 3 mm; TR/TE 5030/71 ms), axial PD (TR/TE 3500/25 ms) and T2-weighted (TR/TE 3500/74 ms) TSE dual echo (slice thickness, 3 mm), and sag. T2-weighted 3-dimensional DESS (slice thickness, 1.5 mm; TR/TE 21.35/7.97 ms) and scored using MOAKS. After 11 years, weight-bearing semi-flexed AP-radiographs were obtained and scored for radiographic OA incidence (KLG ≥2). Two-year's worsening of BMLs, cartilage defects, osteophytes (all in PF, medial and lateral TF compartments), medial and lateral meniscus pathology and meniscus extrusion, and of effusion/synovitis were determined, using established criteria. Features showing worsening in ≥10% of the knees were related to OA incidence after 11 years, using logistic regression analysis.</p></div><div><h3>RESULTS</h3><p>Follow-up data after 11.7 ± 0.7 years was available for 99 individuals (baseline age 27.8 ± 7.2 years, 68% men). Over the first two years, 48 individuals (48%) underwent ACL-reconstruction surgery. After 11 years, 41 individuals (41%) developed radiographic OA in their injured knee. Worsening of lateral cartilage defects (23%), medial (24%) and lateral (28%) meniscus pathology, and medial meniscus extrusion (17%) reached the pre-defined threshold of ≥10% within two years. Despite increased post-test probabilities for meniscus pathology, two-year's worsening of selected features was not significantly associated to long-term radiographic knee OA incidence (see Table).</p></div><div><h3>CONCLUSION</h3><p>Most knee OA MRI features showed little progression (&lt;10%) over two years, across compartments, in ACL-injured knees. Lateral TF cartilage defects, meniscus pathology, and medial meniscus extrusion showed high progression rates (18-26%), but these changes showed no statistical significance association to radiographic knee OA incidence after 11 years. Of the assessed features, only progression of meniscus pathology seemed to have potential as ","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100208"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000369/pdfft?md5=16e2c3e2bf4778c7ea00be9ae86380c8&pid=1-s2.0-S2772654124000369-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434958","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":"VALIDATION OF A FULLY AUTOMATED CARTILAGE SPIN-SPIN (T2) RELAXATION TIME ANALYSIS WORKFLOW FROM QUANTITATIVE DESS (QDESS) MRI","authors":"W. Wirth ,&nbsp;S. Herger ,&nbsp;S. Maschek ,&nbsp;A. Wisser ,&nbsp;F. Eckstein ,&nbsp;A. Mündermann","doi":"10.1016/j.ostima.2024.100199","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100199","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Cartilage T2 is commonly measured by multi-echo spin-echo (MESE) MRI. MESE, however, requires long acquisition times to obtain sufficient in-plane resolution for laminar T2 analysis and does not fully cover the deep cartilage lamina [1]. Quantitative DESS (qDESS) retains both acquired echoes so that both cartilage morphology and cartilage T2 can be extracted simultaneously from a single acquisition with relatively short acquisition time [2, 3]. The qDESS thus reduces patient burden and analysis time. The MechSens trial [4] investigated the impact of unilateral anterior cruciate ligament (ACL) injury on femorotibial (FTJ) cartilage 2–10 years after injury and is the first clinical study to use qDESS MRI. Based on manual segmentations, deep layer FTJ T2 was longer in ACL than in contra-lateral (CL) non-ACL and in healthy control knees, whereas no differences in superficial layer T2 or cartilage thickness were observed.</p></div><div><h3>OBJECTIVE</h3><p>To technically validate an image analysis technique based on convolutional neural networks (CNN) for automated laminar cartilage T2 analysis for qDESS vs. manual segmentations, and to test whether between-knee and -group differences in deep cartilage T2 can be replicated in ACL-injured vs. control knees.</p></div><div><h3>METHODS</h3><p>Of 85 participants from two age groups (20–30y &amp; 40–60y) 37 had a unilateral ACL-injury (2–10y prior to baseline: ACL_20-30: n=23, ACL_40-60, n=14). 48 healthy controls had no history of knee injury (HEA_20-30, n=24, HEA_40-60, n=24). Coronal qDESS MRIs were acquired using a 3T Siemens Prisma in both knees (resolution: 0.31mm x 0.31mm x 1.5mm, repetition time: 17ms, echo times: 4.85/12.15ms, flip angle: 15°). Manual segmentation of weight-bearing FTJ cartilages was performed with expert quality control. Automated cartilage segmentation was based on a 2D U-Net image analysis workflow. Two U-Nets were trained on both knees of odd- or even-numbered participants and were then employed to segment the knees from the other participants (even- or odd-numbered), respectively. T2 was computed for the FTJ cartilages as previously described [2]. Deep and superficial layer T2 were computed based on the position of the voxels relative to the subchondral bone and cartilage surface and were averaged across the FTJ. The segmentation agreement was evaluated using the Dice similarity coefficient (DSC). T2 was compared between segmentations using Bland &amp; Altman plots and correlation analysis. FTJ T2 of the ACL knees was compared to T2 of uninjured CL and healthy control knees using Conover-Iman and Dunn post-hoc tests, respectively. Paired (between-knee) or unpaired (between-group) Cohen's D was used as measure of effect size of T2 differences.</p></div><div><h3>RESULTS</h3><p>The agreement of automated vs. manual cartilage segmentation across the four FTJ cartilages was high, with DSCs between 0.90±0.05 (centr","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100199"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000278/pdfft?md5=3e743e95747b96602e4a07283209e749&pid=1-s2.0-S2772654124000278-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434015","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":"DEVELOPING RISK PREDICTION MODELS FOR HIP OSTEOARTHRITIS BASED ON AUTOMATED HIP MORPHOLOGY MEASUREMENTS AND EVALUATING ON UNSEEN POPULATIONS: DATA OF THE WORLD COACH CONSORTIUM","authors":"M.A. van den Berg ,&nbsp;F. Boel ,&nbsp;M.M.A. van Buuren ,&nbsp;N.S. Riedstra ,&nbsp;J. Tang ,&nbsp;H. Ahedi ,&nbsp;V. Arbabi ,&nbsp;N. Arden ,&nbsp;S.M.A. Bierma-Zeinstra ,&nbsp;C.G. Boer ,&nbsp;F.M. Cicuttini ,&nbsp;T.F. Cootes ,&nbsp;K.M. Crossley ,&nbsp;D.T. Felson ,&nbsp;W.P. Gielis ,&nbsp;J.J. Heerey ,&nbsp;G. Jones ,&nbsp;S. Kluzek ,&nbsp;N.E. Lane ,&nbsp;C. Lindner ,&nbsp;R. Agricola","doi":"10.1016/j.ostima.2024.100212","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100212","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Early identification of hip OA is crucial in enhancing our understanding of HOA development and treatment options. Hip morphology could be a modifiable risk factor for the development of radiographic hip osteoarthritis (RHOA), but the exact risk contribution of hip morphology in the general population remains unclear. By combining individual participant data (IPD) of various studies while considering study heterogeneity, novel modeling techniques could be explored to work towards individualized prediction models.</p></div><div><h3>OBJECTIVE</h3><p>To develop hip morphology based RHOA risk prediction models on multi-cohort datasets and assessed their generalizability to similar and unseen populations.</p></div><div><h3>METHODS</h3><p>We combined IPD from nine prospective cohort studies collected within the Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH consortium). These studies all had standardized anteroposterior (AP) pelvic, long-limb, and/or hip radiographs taken and graded for RHOA at baseline and 4-8 years follow-up. Risk of incident RHOA was defined as hips with no signs of RHOA at baseline (any RHOA grade &lt;2) which developed RHOA within this follow-up period (any RHOA grade ≥ 2). The lateral center edge angle (LCEA) and alpha angle (AA) were calculated automatically and relied on automated landmark placements on the outline of the hip (Figure 1). Included subjects had a mean age of 66.4 years (SD= 8.5), 71.3% was female, and mean body mass index (BMI) was 27.4 kg/m² (SD=4.6).</p><p>Risk prediction models were built with generalized linear mixed effects models (GLMM) and random forest models (RF). The discriminative performance (AUC) of models including the LCEA and AA measurements was compared to models based on hip side, sex, age, BMI and baseline RHOA grade alone. Stratified 5-fold cross-validation was performed to investigate the effect of a cohort specific intercept on predicted risk by a GLMM model. With leave-one-cohort-out cross-validation, the generalizability to a new population was evaluated for both GLMM and RF models. The mean AUC over the resulting test sets was compared in both settings.</p></div><div><h3>RESULTS</h3><p>In total, 35,922 hips without definite RHOA at baseline were included of which 4.7% developed RHOA within 4-8 years . Performance differences between the model configurations and between GLMM and RF models were small (Table 1). Using a marginal intercept instead of a cohort-specific intercept in the GLMM on caused a decrease (∼0.1 in AUC) in performance in the stratified 5-fold cross-validation. The leave-one-cohort-out cross-validation showed mean AUC values between 0.70-0.73.</p></div><div><h3>CONCLUSION</h3><p>In hips free of definite RHOA, we could fairly predict incident RHOA in both similar and unseen populations. However, the added value of hip morphology measurements on the discriminative performance is small.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100212"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000400/pdfft?md5=61ee32fa57dcd22e00d2572777857e53&pid=1-s2.0-S2772654124000400-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434386","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":"AUTOMATICALLY DETERMINED MINIMAL JOINT SPACE WIDTH IS LOWER IN SUBJECTS WITH RADIOGRAPHIC HIP OA BUT NOT SIGNIFICANTLY DIFFERENT IF HIP PAIN IS PRESENT: A MULTI-COHORT ANALYSIS","authors":"M.A. van den Berg ,&nbsp;F. Boel ,&nbsp;N.S. Riedstra ,&nbsp;M.M.A. van Buuren ,&nbsp;J. Tang ,&nbsp;S.M.A. Bierma-Zeinstra ,&nbsp;D. Felson ,&nbsp;J.H. Krijthe ,&nbsp;J.A. Lynch ,&nbsp;A.E. Nelson ,&nbsp;M. Nevitt ,&nbsp;J. Runhaar ,&nbsp;R. Agricola","doi":"10.1016/j.ostima.2024.100210","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100210","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Current epidemiological research on management and prevention of hip OA faces challenges due to the lack of a uniform OA definition. Automated detection of radiographic features on x-ray images across studies such as the minimal JSW (mJSW) could be a solution. However, having radiographic evidence of hip OA does not always imply having symptoms or disability and vice-versa. In order to create an automated hip OA definition, we need to improve our understanding of the interplay between the mJSW and clinical and radiographic factors in a large and diverse population.</p></div><div><h3>OBJECTIVE</h3><p>To investigate the differences in automatically determined mJSW values between subjects without hip complaints, with radiographic hip OA, and/or with hip pain.</p></div><div><h3>METHODS</h3><p>We utilized individual participant data (IPD) from two prospective cohort studies: Cohort Hip and Cohort Knee (CHECK), Johnston County Osteoarthritis Project (JoCoOA), and the Multicenter Osteoarthritis Study (MOST). These studies had weight-bearing (CHECK, MOST) or supine (JoCoOA) standardized anteroposterior (AP) pelvic, long-limb, and/or hip radiographs taken and graded for radiographic hip OA (RHOA) with the KLG. Additionally, the presence of hip pain was determined by converting survey questions into a binary variable. We uniformly measured the mJSW by measuring the minimal distance (in mm) between outlines of the femoral head and weight-bearing part of the acetabulum based on linear B-spline interpolation between automatically placed landmark points (Figure 1). Our study population consisted of 2,400 subjects (4,745 hips), of which 64.5% were female, with a mean age of 61.0 years (SD = 9.0) and a mean body mass index of 28.9 kg/m² (SD = 5.5). We used ANOVA with post-hoc pairwise comparisons to analyze differences in mJSW between four groups: subjects without hip pain and RHOA, with only hip pain, with only RHOA (KLG ≥2), or both RHOA and hip pain. To adjust for correlations between subjects and cohorts, a linear mixed-effects model was fitted with a nested intercept for subject and cohort, and with a correction factor for hip side. We performed separate analyses for male and female subjects.</p></div><div><h3>RESULTS</h3><p>From the total of 4,745 included hips, 2,080 (43.8%) had RHOA, hip pain or both. In both male and female subjects, the mJSW was found to be significantly lower in people with RHOA (Figure 2). Subjects that experienced hip pain did not have a significantly different mJSW than subjects without hip pain, both with and without RHOA present.</p></div><div><h3>CONCLUSION</h3><p>The automatically measured mJSW showed significant differences in mean values between people with and without RHOA, irrespective of the presence of pain. No significant differences were found between people with and without hip pain, irrespective of RHOA.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100210"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000382/pdfft?md5=3d439f92542f1af832cd20daceda31fe&pid=1-s2.0-S2772654124000382-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434409","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":"AUTOMATED CARTILAGE T2 ANALYSIS BY REGISTRATION OR BY SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORKS (CNNs) – WHICH ONE MAKES THE RACE?","authors":"F. Eckstein ,&nbsp;D. Fürst ,&nbsp;G. Duda ,&nbsp;W. Wirth","doi":"10.1016/j.ostima.2024.100214","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100214","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Manual cartilage segmentation from MRI is a labor-intensive process. This is particularly cumbersome in studies in which cartilage morphology is to be determined from manual segmentation of fat-suppressed, high-resolution gradient echo (GrE) sequences, and then T2 from another manual segmentation of a multi echo spin echo (MESE) sequence. To this end, we have developed a registration algorithm that uses segmentations of the cartilage from the GrE sequences, and rigidly registers these to an optimal position for extracting cartilage T2 signal from the MESE [1,2]. However, we have recently started to develope fully automated analysis technology for T2 directly from the MESE using convolutional neural network (CNN) architectures and deep learning (DL) [3].</p></div><div><h3>OBJECTIVE</h3><p>To compare i) T2 determined from MESE by registration of manually segmented cartilage masks from GrE and ii) T2 determined from MESE directly by fully automated segmentation using CNNs [3] vs. manually segmentation for T2 analysis in the same knees.</p></div><div><h3>METHODS</h3><p>We studied 39 ACL patients and 15 healthy controls, enrolled at Charité (n=54; Berlin, Germany). Sagittal 3D VIBEwe MRIs were acquired for cartilage morphometry, and sagittal 2D multi-echo spin-echo (MESE) MRIs for cartilage T2 analysis using a 1.5T Siemens Avanto MRI, at baseline and (n=53) at 1 year follow-up. Segmentation of the femorotibial cartilages was performed manually by expert readers from the 3D VIBE and 2D MESE. A multimodal approach was used to register cartilage segmentations from the VIBE to the MESE [1,2]. Automated cartilage segmentation of the MESE relied on a 2D U-Net [3] that was trained on all 7 echoes from athletes and PCL patients (training/validation set n=50/9), the images being acquired on the same scanner and segmented by the same readers. Agreement between registered and automated vs. manual cartilage segmentation was assessed using dice similarity coefficients (DSCs). Superficial and deep femorotibial cartilage T2 (each 50% thickness) were extracted from the segmentations. Baseline cartilage T2 and 1-year change were compared between methods, using Pearson correlation coefficients, mean differences, and 95% CIs.</p></div><div><h3>RESULTS</h3><p>In the deep cartilage layer, baseline T2 derived from automated (CNN) segmentation was very similar to that of the manual expert segmentation on the same images, with mean differences of 0.1ms, and correlations of r=0.97-98 across compartments (Table 1). Deep T2 values obtained from registration were longer than those from manual segmentations, with correlations of 0.12-0.13. Superficial T2 (Table 1) was approx. 6-7ms longer than that in the deep layer across all methods. The CNN method overestimated T2 by about 1.2ms (r=0.91-93), and the registration method by about 8ms (r&lt;0.13). The longitudinal results confirmed superiority of the direct CNN segmentation (Table 2).</p></div><div><h","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100214"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000424/pdfft?md5=1c092df18cf9c588e1c10d46dd351857&pid=1-s2.0-S2772654124000424-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434303","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}