Osteoarthritis imaging最新文献

{"title":"Ultrasound assessment of the infrapatellar fat pad can detect Hoffa-synovitis in patients following anterior cruciate ligament reconstruction: A pilot study","authors":"M Fagan ,&nbsp;R Fajardo ,&nbsp;C Grozier ,&nbsp;TR Jildeh ,&nbsp;M Lissy ,&nbsp;MS Harkey","doi":"10.1016/j.ostima.2024.100174","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100174","url":null,"abstract":"<div><h3>Introduction</h3><p>Osteoarthritis (OA) commonly occurs following anterior cruciate ligament reconstruction (ACLR), affecting over 50 % of patients within 10–15 years post-ACLR. The Hoffa-synovitis of the infrapatellar fat pad (IPFP) has been implicated as a major contributor to OA pathogenesis. While MRI is typically used to evaluate the IPFP, it is cost-prohibitive for routine screening. This study aimed to validate ultrasound as an alternative for detecting IPFP Hoffa-synovitis in participants post-ACLR.</p></div><div><h3>Methods</h3><p>In this cross-sectional study, 15 participants (18–35 years, 1–5 years post-ACLR) underwent two imaging sessions separated by one week. First, a standardized bilateral anterior knee ultrasound assessment was used to examine IPFP echo-intensity. Second, MRI scans of both knees were graded by a board-certified musculoskeletal radiologist for Hoffa-synovitis according to the Anterior Cruciate Ligament Osteoarthritis Score grading system. IPFP echo-intensity were quantified on each ultrasound image, and a limb symmetry index (LSI) was calculated to assess between-limb differences. We used an independent <em>t</em>-test and Cohen's <em>d</em> effect sizes to compare IPFP echo-intensity LSI between people with and without MRI-confirmed Hoffa-synovitis.</p></div><div><h3>Results</h3><p>Four of the 15 participants (27 %) exhibited MRI-confirmed Hoffa-synovitis. Significantly higher IPFP echo-intensity LSI values were found in participants with Hoffa-synovitis (32.1 ± 12.1 %) compared to those without (10.5 ± 10.4 %), confirming the ultrasound's ability to distinguish between the two groups (<em>t</em> = -3.44; <em>p</em> = 0.004; <em>d</em> = 2.01).</p></div><div><h3>Discussion</h3><p>Ultrasound detects bilateral IPFP signal intensity alterations in participants post-ACLR with MRI-confirmed Hoffa-synovitis. This work should be seen as a proof-of-concept, and further validation in a larger, more diverse sample is essential for verifying these results.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 1","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000023/pdfft?md5=ac7cc014c454e5cf1160d3e6e643fba5&pid=1-s2.0-S2772654124000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139675819","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":"Effect of functional knee loading on articular cartilage MRI T2 relaxation time and thickness in patients at risk for knee osteoarthritis","authors":"Hayden F. Atkinson ,&nbsp;Trevor B. Birmingham ,&nbsp;Codie A. Primeau ,&nbsp;Anthony A. Gatti ,&nbsp;Rebecca F. Moyer ,&nbsp;Jaques S. Milner ,&nbsp;David W. Holdsworth ,&nbsp;J. Robert Giffin","doi":"10.1016/j.ostima.2024.100173","DOIUrl":"10.1016/j.ostima.2024.100173","url":null,"abstract":"<div><h3>Objectives</h3><p>The objectives of this study were: 1) to evaluate the effect of a functional loading stimulus on MRI-acquired T2 relaxation time (T2) and thickness of knee articular cartilage, and 2) to compare the response between patients at risk for knee OA and healthy controls.</p></div><div><h3>Design</h3><p>A total of 32 participants (16 healthy controls [24.7 ± 3.0 years], and 16 at-risk participants [37.5 ± 12.2]) underwent 3T MRI T2 mapping scans immediately before and after a standardized 25-minute functional loading stimulus on a computerized treadmill that included a variety of challenging walking conditions. Groups were defined using the Osteoarthritis Initiative Control (healthy) and Incidence Cohort (at-risk) Criteria. We analyzed changes in T2 between groups in the superficial and deep layers of tibiofemoral, patellar, and trochlear cartilage, and for tibiofemoral cartilage thickness using multivariate linear mixed-effects models.</p></div><div><h3>Results</h3><p>T2 was shorter in the superficial cartilage layers in both groups. The mean combined change (95 % confidence interval) in T2 of the superficial layer was -3.80 ms (-4.87; -2.73) for at-risk participants and -3.89 ms (-4.96; -2.82) for healthy controls. The between-group difference in change was 0.09 ms (-1.04; 1.22). There was a decrease in articular cartilage thickness in the lateral compartment for healthy controls (-0.14 mm [-0.24; -0.04]), otherwise there were no changes detected.</p></div><div><h3>Conclusions</h3><p>Consistently shorter T2 was observed in the articular cartilage of patients at risk for knee OA and in healthy controls, after a challenging walking test, but with no concurrent change in cartilage thickness, suggesting a similar articular cartilage response to functional loading.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 1","pages":"Article 100173"},"PeriodicalIF":0.0,"publicationDate":"2024-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000011/pdfft?md5=09a9c3b0461d441578786f1cf5cca52e&pid=1-s2.0-S2772654124000011-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139633062","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":"Welcome to the 18th IWOAI","authors":"","doi":"10.1016/S2772-6541(24)00053-9","DOIUrl":"https://doi.org/10.1016/S2772-6541(24)00053-9","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100225"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000539/pdfft?md5=895c995a7c683ddf6aa75fef814dc90a&pid=1-s2.0-S2772654124000539-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434018","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":"HEAD-TO-HEAD COMPARISON BETWEEN THE CENTER OF ROTATION BASED ON THE SPHERICAL FEMORAL HEAD AND THE HEMISPHERICAL ACETABULUM","authors":"N. Hendriks ,&nbsp;F. Boel ,&nbsp;H. Ahedi ,&nbsp;V. Arbabi ,&nbsp;N.K. Arden ,&nbsp;M.A. van den Berg ,&nbsp;C.G. Boer ,&nbsp;M.M.A. van Buuren ,&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;J.A. Lynch ,&nbsp;J.B.J. van Meurs ,&nbsp;R. Agricola","doi":"10.1016/j.ostima.2024.100216","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100216","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>The center of rotation (CoR) on 2D hip radiographs is important for the calculation of different angles, for determining the presence of hip dysplasia. The hip joint CoR can be found as the center of a circle fitted to the femoral head. Since the acetabulum and femoral head are concentric, realistically their CoR projects on the hip joint CoR. The two methods to determine the CoR have surprisingly never been compared head-to-head.</p></div><div><h3>OBJECTIVE</h3><p>To determine and compare the CoR obtained from the convexity of the femoral head to the CoR obtained from the concave of the acetabulum in hips free of OA.</p></div><div><h3>METHODS</h3><p>Data from the Worldwide Collaboration on Osteoarthritis prediCtion for the Hip (World COACH) was used. Participants with no signs of OA in the standardized anteroposterior radiographs of the hip joints were selected (KL/croft grade = 0). The contour of the femoral head and acetabulum were outlined with points automatically placed using Bonefinder and the CoR based on the convexity of the femoral head and the acetabulum were calculated for each hip. With the x-, and y-coordinates of the CoRs of both methods, the directional distance between the points was calculated. Using the CoRs of both methods the LCEA and WCEA were calculated. In sensitivity analysis, the (mild) dysplasia (WCEA and LCEA&lt;25°) cases, based on the femoral head method, were excluded.</p></div><div><h3>RESULTS</h3><p>The mean age of the participants (n = 13,683) was 59.0 ± 8.2 years, mean BMI 28.2 ± 4.8 kg/m2, and 61% was female. The mean radius of the circle fit of the femur was 27.25 mm (SD = 2.79). The mean radius of the circle fit based on the acetabulum was 34.17 mm (SD = 4.15). The mean difference between the x-coordinates of both methods was 1.76 mm (SD = 0.98), the mean difference between the y-coordinates of both methods was -2.66 mm (SD = 3.02), with a mean directional distance of 3.89 mm (SD = 2.27). Based on the CoR using the femoral head method the mean LCEA = 34.80° (SD = 5.89), mean WCEA = 29.67° (SD = 6.29), based on the CoR using the acetabulum method the mean LCEA = 30.41° (SD = 6.65), mean WCEA = 25.11° (SD = 6.80). After exclusion of the (mild) dysplasia cases the mean difference between the x-coordinates of both methods was 1.68 mm (SD = 0.84), the mean difference between the y-coordinates of both methods was -2.62 mm (SD = 2.81), with a mean directional distance of 3.71 mm (SD = 2.08). In Table 1, the number of participants with (mild) dysplastic hips are shown based on the different CoRs.</p></div><div><h3>CONCLUSION</h3><p>Based on the mean difference in x-, and y-coordinates per hip, the CoR based on the femoral head method is placed 1.76 mm more medially and 2.66 mm towards cranial direction compared to the CoR using the concave of the acetabulum, with a mean directional distance of 3.89 mm. The CoR determination is independent of the presence of (mild) dysplasia. However, amon","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100216"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000448/pdfft?md5=227b0ebdb0f588849ec70f9e2dd213c2&pid=1-s2.0-S2772654124000448-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434388","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":"PROGRESSION OF BONE MARROW LESION VOLUME IS ASSOCIATED WITH AN INCREASED RISK OF RADIOGRAPHIC AND SYMTOMATIC KNEE OSTEOARTHRITIS: A PROSPECTIVE ANALYSIS OF KNEE MRIS FROM OSTEOARTHRITIS INITIATIVE COHORT","authors":"K. Moradi ,&nbsp;S. Mohammadi ,&nbsp;B. Mohajer ,&nbsp;F.W. Roemer ,&nbsp;S. Momtazmanesh ,&nbsp;Q. Hathaway ,&nbsp;H.A. Ibad ,&nbsp;D.J. Hunter ,&nbsp;A. Guermazi ,&nbsp;S. Demehri","doi":"10.1016/j.ostima.2024.100188","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100188","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Bone marrow lesions (BMLs) are a risk factor for incident knee OA and deep-learning (DL) methods can help in automated segmentation and risk prediction.</p></div><div><h3>OBJECTIVE</h3><p>To develop and validate a DL model for quantifying tibiofemoral BML volume from MRIs in knees without radiographic OA and assess the association between longitudinal changes and knee OA incidence.</p></div><div><h3>METHODS</h3><p>The DL model segmented tibiofemoral joint into 10 subregions (akin to MRI Osteoarthritis Knee Score (MOAKS) system) and measured BML volume in each subregion. Baseline and 4^th-year follow-up MRIs from 4700 participants (9400 knees) of the OAI cohort were analyzed. Knees without OA at baseline (KLG&lt;2) were categorized into three groups based on 4-year BML volume changes: BML-free, regressing BML, and progressive BML. Over a 9-year period, the risk of radiographic and symptomatic knee OA incidence was compared among these groups.</p></div><div><h3>RESULTS</h3><p>We included 3869 non-OA knees from 2430 participants (age mean ± SD: 59.5±9.0, female/male:1.3). At the 4^th-year follow-up, 2216 remained BML-free, 1106 showed an increase, and 547 showed a decrease in BML volume. Knees with progressive BML had a higher risk of radiographic knee OA incidence compared to BML-free (HR:3.01, P&lt;0.001) and regressing BML (HR:2.00, P&lt;0.001) knees. They also had a higher risk for symptomatic OA incidence compared to BML-free knees (HR:1.25, P:0.001). Larger volume changes in BML progression were associated with a higher risk of knee OA incidence (radiographic HR:1.95, symptomatic HR:1.70, P-values&lt;0.001). In all subchondral plates, especially the medial femur and tibia, BML progression was associated with a higher risk of developing both radiographic and symptomatic knee OA compared to BML-free plates.</p></div><div><h3>CONCLUSION</h3><p>Progressive BMLs, according to the subregion and volume changes extent, are associated with an increased risk of OA incidence compared to BML-free or regressing BML knees, emphasizing the importance of monitoring BML volume changes in evaluating early interventions to prevent OA incidence.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100188"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000163/pdfft?md5=faee3b96e63e5da066e94bc85850ed02&pid=1-s2.0-S2772654124000163-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434952","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":"DISTRIBUTION IN KNEE OSTEOARTHRITIS - IMPACT OF DEMOGRAPHIC, RADIOGRAPHIC & MRI STRUCTURAL PATHOLOGY STRATA: DATA FROM THE IMI-APPROACH COHORT","authors":"M.P. Jansen ,&nbsp;T.D. Turmezei ,&nbsp;K. Dattani ,&nbsp;D.A. Kessler ,&nbsp;S.C. Mastbergen ,&nbsp;M. Kloppenburg ,&nbsp;F.J. Blanco ,&nbsp;I.K. Haugen ,&nbsp;F. Berenbaum ,&nbsp;W. Wirth ,&nbsp;F. Eckstein ,&nbsp;F.W. Roemer ,&nbsp;J.W. Mackay","doi":"10.1016/j.ostima.2024.100206","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100206","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Most participants of the IMI-APPROACH knee OA cohort displayed cartilage damage, based on quantitative (segmentation-based) MRI morphometry and MOAKS scoring, predominantly in the medial tibiofemoral compartment. Cartilage surface mapping (CaSM) is a quantitative 3D analytic method that, unconstrained by subregional boundaries, can demonstrate visually how cartilage thickness varies across a joint.</p></div><div><h3>OBJECTIVE</h3><p>The purpose of this cross-sectional study was to evaluate cartilage thickness distribution in knee OA patients using CaSM, and to analyze how it varies amongst demographic, radiographic, and MRI structural pathology strata.</p></div><div><h3>METHODS</h3><p>The cohort included 297 participants with clinical knee OA. 1.5T or 3T MRI 3D gradient echo sequences were acquired at baseline and follow-up, with only baseline being used in the current analysis. Semi-automatic segmentation of the femoral and tibial cartilage was performed using Stradview. Segmentations were registered to canonical surfaces using wxRegSurf and analyzed in MATLAB. The relationship between demographic and structural pathology strata on the cartilage thickness distribution was analyzed using statistical parametric mapping (SPM). SPM allows for vertex-wise comparisons and delivers multiple-comparison-corrected F-test statistics, using the Surfstat MATLAB package. p&lt;0.05 was used as the threshold for statistical significance. Sex, age, and BMI were examined (demographic factors). Presence of radiographic OA (ROA; KLG≥2) and degree of medial/lateral JSN were studied as radiographic factors, and MOAKS BMLs and meniscal extrusion (scored on intermediate-weighted fat-suppressed sequences) as MRI structural pathology features, in individual models. Analysis differentiating patients with and without ROA was performed in addition.</p></div><div><h3>RESULTS</h3><p>287 patients could be analyzed (age 66.4±7.1, BMI 28.0±5.2, 78% female, 55% ROA). Male patients had significantly thicker cartilage across the entire joint, especially the tibiae and trochlea (Figure 1). Age showed a pronounced effect in the trochlea and (central) medial and lateral tibia, with older patients having thinner cartilage (independent of radiographic status); BMI was not significantly associated with cartilage thickness in any region (Figure 1). Patients with ROA showed significantly thinner cartilage in the tibiae and medial femur than those without ROA, but thicker cartilage in the trochlea and lateral femur (Figure 1). Patients with JSN showed opposite effects depending on direction: those with medial JSN displayed significantly thinner cartilage in the medial, and those with lateral JSN in the lateral compartment (Figure 2). Meniscal extrusion results were very similar to JSN results (Figure 2). Presence of BMLs in any subregion of a compartment (lateral/medial FT and PF) was associated with thinner cartilage throughout that entire compartment (Figure 3","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100206"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000345/pdfft?md5=b3dc03396a970cc39c0d291ae5297a3a&pid=1-s2.0-S2772654124000345-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434366","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":"DTI AS A BIOMARKER TO PREDICT PROGRESSION IN EARLY OA","authors":"J.G. Raya ,&nbsp;A. Duarte ,&nbsp;R. Kijowski ,&nbsp;S. Krasnokutsky-Samuels ,&nbsp;J. Samuels ,&nbsp;A. Ruiz","doi":"10.1016/j.ostima.2024.100209","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100209","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Assessment of disease progression in patients with incipient OA remains a major challenge. Quantitative imaging biomarkers have the advantage of being sensitive to changes in cartilage composition, which represent an early feature of the disease. Several MRI parameters have shown sensitive to PG content, but only T₂ being partially sensitive to collagen. Diffusion tensor imaging (DTI) was introduced as a biomarker specific for PG content (MD) and collagen structure (FA) and has demonstrated to be a promising biomarker to diagnose OA.</p></div><div><h3>OBJECTIVE</h3><p>To validate DTI and T₂ of articular cartilage at 3T as biomarkers for OA progression in a population at early stages of the disease and high likelihood of short-term progression.</p></div><div><h3>METHODS</h3><p><u>Study design</u>. We recruited 60 subjects (m/f=23/37, age=61±8 y, BMl=30.7±6.4 kg/cm²) with unilateral knee OA (symptomatic with KL≥2) and incipient OA in the contralateral knee (KL=1, no history of injury). We focused on the KL=1 knees since they were at an early stage of disease and had high likelihood of progression according to the OAI dataset. At baseline all subjects underwent a clinical assessment, provided x-rays of the bilateral knees, and MRI of the KL=1 knee. Forty subjects returned for 3-years follow-up evaluation, which included clinical assessment and x-rays of the bilateral knees to capture clinical endpoint for progression. Medial and lateral JSW was measured at each time point in the KL=1 knees. JSN was calculated in the lateral and medial compartments. A JSN &gt;0.7 mm was considered progression.</p><p><u>MRI.</u> The 3T protocol included a radial imaging spin-echo diffusion (RAISED) sequence for DTI measure (TE/TR=35/1500 ms, 105 spokes/image, 6 directions, b-values=0, 300 s/mm², resolution 0.6 × 0.6 × 3 mm³), and a multi echo T₂-weighted sequence for T₂ calculation (TE=10.5 to 126 ms, train length 12, echo train 10.5 ms, TR=4.3s, resolution 0.6 × 0.6 × 3 mm³). Diffusion-weighted images were reconstructed using a non-linear motion correction. Cartilage regions (TrF, LF, MF, MT, LT, and P) were segmented. T₂ and DTI parameter maps of mean diffusivity (MD) and fractional anisotropy (FA) were calculated averaged over every region.</p><p><u>Statistics.</u> Pearson or Spearman coefficients were used to evaluate the association between baseline MRI parameters and biological variables (age, sex, and BMI), and 3-year radiographic progression (JSN, change in KL). Partial correlations were performed to correct for biological variables. Group differences between progressors and non-progressors were assessed using either a two-sided unpaired t-test or Wilcoxon test depending on normality of the data (K-S test). Finally, a stepwise forward algorithm was used including both biological variables and [DTI and T₂] to identify the op","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100209"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000370/pdfft?md5=2d557e7440cc33b0c3c7cfa1434934e9&pid=1-s2.0-S2772654124000370-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434950","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":"PROTOCOL FOR ACQUISITION OF 3D IMAGING OF BILATERAL FOOT, ANKLE, KNEE, AND HIP JOINTS WITH WEIGHT-BEARING CT (WBCT)","authors":"N.A. Segal ,&nbsp;J.A. Lynch","doi":"10.1016/j.ostima.2024.100200","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100200","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>MRI and CT can provide valuable 3D information on joint structures but are generally acquired in a non-functional position. The Multicenter Osteoarthritis Study (MOST) will address this serious limitation through using low-dose weight-bearing CT (WBCT) to obtain 3D images of the bilateral hips, knees, ankles/feet in a standing position, while also maintaining continuity with previous MOST exams by acquiring both 3D WBCT and knee radiographs using the Synaflexer frame used for all previous MOST knee x-rays. This imaging protocol takes about the same time as PA and lateral knee x-rays, while providing a wealth of additional information that will enable future opportunities to investigate novel questions about OA using 3D imaging of all the joints in the lower limb kinetic chain in a functionally loaded position.</p></div><div><h3>OBJECTIVE</h3><p>To standardize the 3D lower limb joints (hips, knees, feet/ankles) imaging procedures using WBCT and knee radiographs using the Planmed XFI scanner.</p></div><div><h3>METHODS</h3><p>The XFI permits efficient scans (46sec per scan for the hips, knees, and feet/ankles respectively) with excellent image quality (least artifact among WBCT scanners and resolution 150–300µm), with effective algorithms for correction of participant motion and metal artifacts, thereby minimizing the need to repeat scans. The gantry diameter of 85cm permits larger bodies or people with knee flexion contractures to be scanned and has a 43.2 × 43.2cm flat panel detector with pixel size 148µm and source distance of 80cm, providing superior imaging capabilities. Average effective radiation doses are acceptable (20µSv, 26.5µSv, and 629µSv for 3D WBCT of the feet/ankles, knees, and hips and 7µSv total for bilateral knee and hand radiographs), automatic exposure control (AEC) optimizes image quality vs. radiation dose.</p></div><div><h3>RESULTS</h3><p>Participants stand on a platform facing the vertical table, with their feet pressed against the Perspex Synaflexor frame with aluminum beads to position their feet in 5 degrees external rotation (10° between medial sides of feet) and their great toes at the edge of the positioner closest to the table. They stand with equal weight on each foot and with their patellae and front of their thighs pressed against the vertical table, holding handholds and with a Velcro strap around the table and their thighs for safety during the standing scan. The XFI and participant position is adjusted so that: the coronal laser passes through the greater trochanters, posterior to the knees and through the midfoot; the sagittal laser passes in the center between the lower limbs and the axial laser is positioned for each joint of interest. For an average size adult, 3D images of the hip are acquired at 120 kV, 450 mAs, bowtie filter on and using AEC, and knees, feet/ankles at 96 kV, 180 mAs. To scan the hips, the gantry is lowered until the axial laser is at the level 2 inches above t","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100200"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277265412400028X/pdfft?md5=b1164690ab7719afdf46cd5261234fc0&pid=1-s2.0-S277265412400028X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434930","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":"EFFECT OF KNEE POSITIONING DURING MRI SCAN ON SEGMENTED CARTILAGE VOLUME","authors":"V. Janacova ,&nbsp;V. Juras ,&nbsp;P. Szomolanyi ,&nbsp;S. Trattnig","doi":"10.1016/j.ostima.2024.100217","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100217","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Non-invasive monitoring of VC using segmentation of MRI images has become vital part of clinical trials and longitudinal OA studies. Many parts of protocol such as MR sequence parameters, MR hardware or time between follow-ups are fixed to ensure that the observed change in VC caused by degenerative/regenerative processes and not by other confounders. Consistent patient positioning during follow-up visits improves the overall precision, however due to various reasons, such as pain, same positioning might not be possible.</p></div><div><h3>OBJECTIVE</h3><p>Objective of this study was to assess an effect of the patient positioning on the femoral VC.</p></div><div><h3>METHODS</h3><p>The left knees of eight healthy volunteers (4 male, 4 female, mean age: 35.5 ± 10.2 years) were scanned on 3T Siemens PrismaFit (Siemens Healthineers AG, Forchheim, Germany). The 3D DESS (TE=5ms, TR=14.1ms, 160 slices, 0.6x0.6x0.6mm3, flip angle=25°, acquisition=5:58min) was used. Each volunteer's patella center was marked with a black line, and two additional lines spaced 1cm apart were drawn on each side. A dedicated 15-channel knee coil was positioned to align these lines with the scanner laser, resulting in five different knee positions: neutral, two medial rotations, and two lateral rotations. Knee rotation angles were measured using RadiAnt DICOM Viewer (Medixant, Poznań, Poland) (Fig. 1). Images were segmented automatically using MR ChondralHealth version 3.1 research application software (Siemens Healthineers AG, Forchheim, Germany), then manually edited if needed. Voxel volume times number of voxels yielded the VC for nine femoral cartilage regions: medial anterior (MaF)/central (McF)/posterior (MpF); trochlear lateral (TL)/central (TC)/medial (TM) and lateral anterior (LaF)/central (LcF)/posterior (LpF). The correlation between knee rotation angle and VC was assessed using Spearman's correlation coefficient.</p></div><div><h3>RESULTS</h3><p>Observed correlations were as follows: MaF = -0.06, McF = -0.18, MpF = -0.3, TL = 0.07, TC = 0.05, TM = 0.01, LaF = 0.15, LcF = -0.12, LpF = -0.2.</p></div><div><h3>CONCLUSION</h3><p>While there are observable correlations between knee rotation angle and femoral VC in healthy individuals, these correlations are generally weak and vary across different cartilage regions. Volume of trochlear cartilage is essentially unaffected by knee positioning, while the posterior condyle region exhibit weak negative correlation, implying the false VC decrease. Further quantification of the effect using linear mixed effects models is planned in the future. While the impact of positioning on VC is negligible, if the anticipated change in VC is expected to be small in longitudinal studies, it's crucial to validate the intended segmentation method in comparable situations.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100217"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277265412400045X/pdfft?md5=4f5086fb89466aacaf637bf2ddcdadc3&pid=1-s2.0-S277265412400045X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434389","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":"ENHANCING MODEL PERFORMANCE IN HIP JOINT SEGMENTATION BY LEVERAGING MULTIPLE IMAGE OUTPUTS FROM DIXON MRI","authors":"M.A. Kamphuis ,&nbsp;E.H.G. Oei ,&nbsp;J. Runhaar ,&nbsp;D. Hanff ,&nbsp;S.M.A. Bierma-Zeinstra ,&nbsp;S. Klein ,&nbsp;J. Hirvasniemi","doi":"10.1016/j.ostima.2024.100193","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100193","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Exploring ways to improve methodologies for model training in MRI-based segmentation tasks is important for enhancing segmentation accuracy. Accurate automated segmentations are essential for applications including the extraction of imaging biomarkers. Leveraging advanced deep learning techniques, such as nnU-Net, holds promise for achieving precise segmentations. Additionally, incorporating multiple image outputs from Dixon MRI into these methodologies could improve segmentation performance.</p></div><div><h3>OBJECTIVE</h3><p>The aim of the study was to investigate whether the accuracy of an automated deep learning segmentation model for the hip joint could be improved by combining information from multiple image outputs from a Dixon sequence.</p></div><div><h3>METHODS</h3><p>Manual segmentations of 20 participants (40 hips) of the Generation R study, comprising individuals who were 19 years old (11 males, 9 females), were used to train an nnU-Net. The segmented regions included the femoral bone, acetabular bone, femoral cartilage, and acetabular cartilage in both the left and right hip. The 2D and 3D configurations of the nnU-Net were trained using 5-fold cross-validation and an ensemble of the 2D-3D configurations was used in the analyses. The input consisted of 1) water-only images from the Lava Flex sequence, with an in-plane resolution of 0.89 × 0.89 mm² and a slice thickness of 1.2 mm, 2) a combination of in-phase and water-only images, as well as 3) a combination of water-only and fat-only images from the same sequence, allowing for comparison between the methodologies. The combination of water-only and in-phase images was chosen for potentially increasing segmentation accuracy, following visual inspection. Additionally, the water-only and fat-only combination aimed to assess if segmentation results could be enhanced by offering additional tissue contrast. Evaluation was performed on a hold-out test set consisting of 10 manually segmented hips, using the Dice similarity coefficient (DSC) and mean surface distance (MSD).</p></div><div><h3>RESULTS</h3><p>The mean ±SD DSC for the segmentation of bone and cartilage in the hip using the 1) water-only vs 2) in-phase and water-only combination vs. 3) combination of fat-only and water-only images were as follows: femoral bone 1) 0.961±0.013 vs. 2) 0.967±0.004 vs. 3) 0.950±0.036, acetabular bone 1) 0.886±0.027 vs. 2) 0.893±0.021 vs. 3) 0.896±0.016, femoral cartilage 1) 0.762±0.018 vs. 2) 0.763±0.020 vs. 3) 0.752±0.023, and acetabular cartilage 1) 0.760±0.028 vs. 2) 0.768±0.022 vs. 3) 0.768±0.022. The MSDs were: femoral bone 1) 0.412± 0.105 mm vs. 2) 0.341±0.047 mm vs. 3) 0.297±5.59 mm, acetabular bone 1) 0.602±0.109 mm vs. 2) 0.567±0.097 mm vs. 3) 0.651±0.077 mm, femoral cartilage 1) 0.276±0.033 mm vs. 2) 0.271±0.034 mm vs. 3) 0.295±0.033 mm, and acetabular cartilage 1) 0.313±0.078 mm vs. 2) 0.282±0.049 mm vs. 3) 0.281±0.046 mm.</p></div><div><h3>CONCLUSION<","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100193"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000217/pdfft?md5=e1f4286e8a8e3a3f941cc6b986a250cd&pid=1-s2.0-S2772654124000217-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434941","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}