Pub Date : 2024-01-01DOI: 10.1016/j.ostima.2024.100219
S. Maschek , W. Wirth , F. Eckstein
INTRODUCTION
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)).
OBJECTIVE
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.
METHODS
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>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.
RESULTS
A statistically significant 18% (0.8mm; p<0.001) difference of mmJSW between M vs. W was found in HRC knees and a 17% (0.8mm; p<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<0.001) in JSN1, 12% (0.3mm; p<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<0.01; Fig. 2). Results for the medial/lateral femorotibial compartment were similar.
CONCLUSION
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
{"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 , W. Wirth , 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>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<0.001) difference of mmJSW between M vs. W was found in HRC knees and a 17% (0.8mm; p<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<0.001) in JSN1, 12% (0.3mm; p<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<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}
Pub Date : 2024-01-01DOI: 10.1016/j.ostima.2024.100191
F.W. Roemer , S. Kast , W. Kemmler , J.E. Collins , K. Engelke , A. Guermazi , M. Uder , S. von Stengel
INTRODUCTION
Whole-body electromyostimulation (WB-EMS) might be an attractive alternative or supportive option to conventional strength training for patients with knee osteoarthritis (OA). We could show previously that WB-EMS is effective in alleviating pain, objective lower-limb function and maximum strength of hip-/leg extensors compared to a usual care approach. Whether WB-EMS also has concurrent positive effects on joint structure is not known.
OBJECTIVE
To compare structural changes of knee OA as assessed by semi-quantitative MRI assessment between patients with knee OA treated with WB-EMS and those treated with a standard of care approach over a period of 7 months.
METHODS
72 overweight (BMI>25 kg/m2) participants, aged 40-70 years, with symptomatic early to moderate knee OA were randomly assigned to two groups (WB-EMS [Figures 1 and 2]: n=36 vs. control group [CG]: n=36). The WB-EMS group performed 1.5 times per week (once in one week, twice in the subsequent week) a WB-EMS training of 20 min for 7 months (including 1 month of conditioning), while the CG was provided with 6 × 20 min standard physiotherapeutic treatments including hands-on techniques and exercises. MRIs were acquired at baseline and 7 months follow-up using a 3T system. The protocol included triplanar intermediate-weighted fat suppressed and a coronal T1-weighted sequence. MRIs were read in chronological order according to the MRI OsteoArthritis Knee Score (MOAKS) system. Between-group differences in regard to change in cartilage, bone marrow lesions (BMLs) (including within-grade changes for cartilage and BMLs), osteophytes, meniscus damage and extrusion, and markers of inflammation (Hoffa- and effusion synovitis) were analyzed using Fisher's Exact and Wilcoxon Rank Sum tests.
RESULTS
Baseline demographic characteristics are presented in Table 1. Fewer knees in the WB-EMS groups showed cartilage worsening (any subregions with worsening) compared to the CG (18% vs. 40%, p=0.046). There were fewer knees in the WB-EMS group showing an increase in a BML size score of ≥1. However, these findings were not statistically significant (30% vs 46%, p=0.43). Regarding number of subregions with BML improvement, no change, or worsening no differences were seen (p=0.56). Very little osteophyte and meniscal change was seen over the observational period. In the WB-EMS group improvement in Hoffa synovitis was seen in 6% and in 9% in the CG, while for effusion-synovitis these numbers were 15% and 17%. Regarding worsening these numbers were 3% and 0% for Hoffa-synovitis and 12% and 9% for effusion synovitis (p for change of Hoffa-synovitis 0.83, for effusion-synovitis 0.78).
CONCLUSION
While there was a difference with fewer subregions showing worsening cartilage damage on a whole knee level in the WB-EMS groups compared to the CG, no significant changes were obser
{"title":"EFFECTS OF WHOLE-BODY ELECTROMYOSTIMULATION ON STRUCTURAL KNEE OSTEOARTHRITIS AS DEFINED BY MRI: THE EMSOAT STUDY","authors":"F.W. Roemer , S. Kast , W. Kemmler , J.E. Collins , K. Engelke , A. Guermazi , M. Uder , S. von Stengel","doi":"10.1016/j.ostima.2024.100191","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100191","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Whole-body electromyostimulation (WB-EMS) might be an attractive alternative or supportive option to conventional strength training for patients with knee osteoarthritis (OA). We could show previously that WB-EMS is effective in alleviating pain, objective lower-limb function and maximum strength of hip-/leg extensors compared to a usual care approach. Whether WB-EMS also has concurrent positive effects on joint structure is not known.</p></div><div><h3>OBJECTIVE</h3><p>To compare structural changes of knee OA as assessed by semi-quantitative MRI assessment between patients with knee OA treated with WB-EMS and those treated with a standard of care approach over a period of 7 months.</p></div><div><h3>METHODS</h3><p>72 overweight (BMI>25 kg/m<sup>2</sup>) participants, aged 40-70 years, with symptomatic early to moderate knee OA were randomly assigned to two groups (WB-EMS [Figures 1 and 2]: n=36 vs. control group [CG]: n=36). The WB-EMS group performed 1.5 times per week (once in one week, twice in the subsequent week) a WB-EMS training of 20 min for 7 months (including 1 month of conditioning), while the CG was provided with 6 × 20 min standard physiotherapeutic treatments including hands-on techniques and exercises. MRIs were acquired at baseline and 7 months follow-up using a 3T system. The protocol included triplanar intermediate-weighted fat suppressed and a coronal T1-weighted sequence. MRIs were read in chronological order according to the MRI OsteoArthritis Knee Score (MOAKS) system. Between-group differences in regard to change in cartilage, bone marrow lesions (BMLs) (including within-grade changes for cartilage and BMLs), osteophytes, meniscus damage and extrusion, and markers of inflammation (Hoffa- and effusion synovitis) were analyzed using Fisher's Exact and Wilcoxon Rank Sum tests.</p></div><div><h3>RESULTS</h3><p>Baseline demographic characteristics are presented in Table 1. Fewer knees in the WB-EMS groups showed cartilage worsening (any subregions with worsening) compared to the CG (18% vs. 40%, p=0.046). There were fewer knees in the WB-EMS group showing an increase in a BML size score of ≥1. However, these findings were not statistically significant (30% vs 46%, p=0.43). Regarding number of subregions with BML improvement, no change, or worsening no differences were seen (p=0.56). Very little osteophyte and meniscal change was seen over the observational period. In the WB-EMS group improvement in Hoffa synovitis was seen in 6% and in 9% in the CG, while for effusion-synovitis these numbers were 15% and 17%. Regarding worsening these numbers were 3% and 0% for Hoffa-synovitis and 12% and 9% for effusion synovitis (p for change of Hoffa-synovitis 0.83, for effusion-synovitis 0.78).</p></div><div><h3>CONCLUSION</h3><p>While there was a difference with fewer subregions showing worsening cartilage damage on a whole knee level in the WB-EMS groups compared to the CG, no significant changes were obser","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100191"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000199/pdfft?md5=f7d233abb20d1c4ceca0591b0824df51&pid=1-s2.0-S2772654124000199-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-01DOI: 10.1016/j.ostima.2024.100194
J. Kim , S.E. Russek , K.F. Stupic , C.M. Stoffer , K.E. Keenan , D. Rutkowski , J. Kammerman , J.H. Brittain , X. Li
INTRODUCTION
Quantitative MRI (qMRI) relaxometry is widely investigated to probe tissue compositional changes at early stages of diseases. T1, T2, and T1rho have been studied to detect early cartilage degeneration in osteoarthritis (OA). Due to its quantitative nature, standardization of measurement and quality assurance of qMRI are crucial when interpreting findings from patients, especially in multi-site and multi-vendor trials. However, no dedicated musculoskeletal (MSK) relaxometry phantoms are commercially available to assist the process.
OBJECTIVE
Develop a dedicated MSK relaxometry phantom for quality assurance of articular cartilage T1, T2 and T1rho measures, with a focus on the knee joint.
METHODS
The Musculoskeletal Relaxometry Phantom prototype (Calimetrix, Madison, WI) is composed of a cylindrical phantom housing filled with a doped water solution and designed to have the following attributes: 1) 12 vials with gels and chemicals that mimic T1, T2, and T1rho relaxation times of articular cartilage (T2/T1rho: 10-100ms; T1: 300, 700, 1200ms) with NMR measurements by NIST for reference; 2) compatibility with commonly used knee coils with customized stands for reproducible positioning; and 3) NIST-traceable analog MR-compatible MR-visible thermometer for temperature measurements. For evaluation, MRI measurements were performed with two 3T scanners with knee coils (Siemens Prisma and GE Healthcare SIGNA Premier) using 2D inversion-recovery spin-echo T1, 2D single-echo spin-echo T2, 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (MAPSS) T1rho and T2. Validated NMR measurements were provided by NIST using a 3T system (Tecmag Redstone with Doty Scientific 5mm probe).
RESULTS
All MRI measurements were longitudinally stable with 1-2% coefficients of variation (CVs) over an 8-month period. 13 phantoms created in two batches demonstrated high within-batch and cross-batch consistency with less than 1% CV for relaxation time measures. T1/T2 of two vendors had less than 2% CV.
CONCLUSION
A stable MSK relaxometry phantom prototype was successfully developed and characterized, including changes with temperature. This phantom will facilitate the use of quantitative relaxometry MRI in large-scale multi-site, multi-vendor trials, and the clinical translation of qMRI.
{"title":"DEVELOPMENT OF A MUSCULOSKELETAL RELAXOMETRY PHANTOM FOR T1, T2, AND T1RHO MEASUREMENTS","authors":"J. Kim , S.E. Russek , K.F. Stupic , C.M. Stoffer , K.E. Keenan , D. Rutkowski , J. Kammerman , J.H. Brittain , X. Li","doi":"10.1016/j.ostima.2024.100194","DOIUrl":"https://doi.org/10.1016/j.ostima.2024.100194","url":null,"abstract":"<div><h3>INTRODUCTION</h3><p>Quantitative MRI (qMRI) relaxometry is widely investigated to probe tissue compositional changes at early stages of diseases. T1, T2, and T1rho have been studied to detect early cartilage degeneration in osteoarthritis (OA). Due to its quantitative nature, standardization of measurement and quality assurance of qMRI are crucial when interpreting findings from patients, especially in multi-site and multi-vendor trials. However, no dedicated musculoskeletal (MSK) relaxometry phantoms are commercially available to assist the process.</p></div><div><h3>OBJECTIVE</h3><p>Develop a dedicated MSK relaxometry phantom for quality assurance of articular cartilage T1, T2 and T1rho measures, with a focus on the knee joint.</p></div><div><h3>METHODS</h3><p>The Musculoskeletal Relaxometry Phantom prototype (Calimetrix, Madison, WI) is composed of a cylindrical phantom housing filled with a doped water solution and designed to have the following attributes: 1) 12 vials with gels and chemicals that mimic T1, T2, and T1rho relaxation times of articular cartilage (T2/T1rho: 10-100ms; T1: 300, 700, 1200ms) with NMR measurements by NIST for reference; 2) compatibility with commonly used knee coils with customized stands for reproducible positioning; and 3) NIST-traceable analog MR-compatible MR-visible thermometer for temperature measurements. For evaluation, MRI measurements were performed with two 3T scanners with knee coils (Siemens Prisma and GE Healthcare SIGNA Premier) using 2D inversion-recovery spin-echo T1, 2D single-echo spin-echo T2, 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (MAPSS) T1rho and T2. Validated NMR measurements were provided by NIST using a 3T system (Tecmag Redstone with Doty Scientific 5mm probe).</p></div><div><h3>RESULTS</h3><p>All MRI measurements were longitudinally stable with 1-2% coefficients of variation (CVs) over an 8-month period. 13 phantoms created in two batches demonstrated high within-batch and cross-batch consistency with less than 1% CV for relaxation time measures. T1/T2 of two vendors had less than 2% CV.</p></div><div><h3>CONCLUSION</h3><p>A stable MSK relaxometry phantom prototype was successfully developed and characterized, including changes with temperature. This phantom will facilitate the use of quantitative relaxometry MRI in large-scale multi-site, multi-vendor trials, and the clinical translation of qMRI.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"4 ","pages":"Article 100194"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654124000229/pdfft?md5=1251ff7214ea08e1e155c6b0a4b10889&pid=1-s2.0-S2772654124000229-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141434942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Morphological aspects of the tibial spines on radiography have received little attention in the evaluation of disease status or disease prediction in OA. This study explored the inter-observer reliability and associations with clinical and radiographic knee OA incidence for medial and lateral spiking, the medial and lateral edge angles, and the height of the tibial spines.
Design
Data from 344 middle-aged women who were overweight/obese and free of radiographic OA and knee symptoms, was used for the analyses. Outcomes were the incidence of radiographic knee OA and clinical knee OA after 30 months. Generalized Estimating Equations, to adjust for multiple measures within individuals, and a backward selection method (p > 0.1 for removal) were used to obtain prediction models. For each outcome, AUC values for the remaining factors and 95 % CI were calculated.
Results
Apart from the lateral spine edge angle, all features had moderate to excellent reliability. Only the lateral spine angle showed a significant association with incident radiographic knee OA (AUC of 0.63 (95 % CI 0.53–0.73)). Medial spiking, lateral spiking, and the medial edge angle of the medial tibial spine were significantly associated with incident clinical knee OA (AUC of 0.71 (95 % CI 0.62–0.81).
Conclusions
Morphological aspects of the tibial spines can reliably be obtained from radiography and should be considered in future prediction models, combined with other known predictors from patient history, physical examination, and/or imaging.
目的胫骨脊柱的影像学形态学在骨关节炎的疾病状态评估或疾病预测中很少受到重视。本研究探讨了观察者之间的可靠性，以及胫骨内侧和外侧刺突、内侧和外侧边缘角度以及胫骨棘高度与临床和影像学膝关节OA发病率的关系。来自344名超重/肥胖且无骨性关节炎和膝关节影像学症状的中年妇女的设计数据被用于分析。结果是30个月后膝关节骨性关节炎的影像学发病率和临床膝关节骨性关节炎的发病率。广义估计方程，以调整个人内部的多个措施，以及向后选择方法(p >0.1表示去除)得到预测模型。对于每个结果，计算剩余因素的AUC值和95% CI。结果除脊柱侧缘角外，其他特征均具有中等至优异的可靠性。只有侧脊柱角度与放射学上的膝关节OA有显著关联(AUC为0.63 (95% CI 0.53-0.73))。胫骨内侧刺突、外侧刺突和胫骨内侧边缘角与临床膝OA发生率显著相关(AUC为0.71 (95% CI 0.62-0.81))。结论:胫骨棘的形态学方面可以通过x线摄影可靠地获得，在未来的预测模型中应考虑到这一点，并结合患者病史、体格检查和/或影像学的其他已知预测因素。
{"title":"The shape of the tibial spines as imaging biomarker for incident knee osteoarthritis","authors":"J Runhaar , J Damen , Oei EHG , Bierma-Zeinstra SMA","doi":"10.1016/j.ostima.2023.100169","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100169","url":null,"abstract":"<div><h3>Objective</h3><p>Morphological aspects of the tibial spines on radiography have received little attention in the evaluation of disease status or disease prediction in OA. This study explored the inter-observer reliability and associations with clinical and radiographic knee OA incidence for medial and lateral spiking, the medial and lateral edge angles, and the height of the tibial spines.</p></div><div><h3>Design</h3><p>Data from 344 middle-aged women who were overweight/obese and free of radiographic OA and knee symptoms, was used for the analyses. Outcomes were the incidence of radiographic knee OA and clinical knee OA after 30 months. Generalized Estimating Equations, to adjust for multiple measures within individuals, and a backward selection method (<em>p</em> > 0.1 for removal) were used to obtain prediction models. For each outcome, AUC values for the remaining factors and 95 % CI were calculated.</p></div><div><h3>Results</h3><p>Apart from the lateral spine edge angle, all features had moderate to excellent reliability. Only the lateral spine angle showed a significant association with incident radiographic knee OA (AUC of 0.63 (95 % CI 0.53–0.73)). Medial spiking, lateral spiking, and the medial edge angle of the medial tibial spine were significantly associated with incident clinical knee OA (AUC of 0.71 (95 % CI 0.62–0.81).</p></div><div><h3>Conclusions</h3><p>Morphological aspects of the tibial spines can reliably be obtained from radiography and should be considered in future prediction models, combined with other known predictors from patient history, physical examination, and/or imaging.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 4","pages":"Article 100169"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654123000879/pdfft?md5=805ad67d760cb7e5f009b9be548f5bba&pid=1-s2.0-S2772654123000879-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138472504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1016/j.ostima.2023.100168
Si Wen Liu , Kenneth Tam , Nima Yazdankhah , Vahid Anwari , Emily Ha , Rachel Whyte , Ali Naraghi , Marshall S. Sussman , Rakesh Mohankumar , James D. Johnston , Linda Probyn , Evelyn Wong , Crystal MacKay , Dmitry Rozenberg , Andy Kin On Wong
Objective
To determine how properties of periarticular muscle relate to knee OA outcomes, specifically how inter- and intramuscular fat (IMF) content (percentage, volume) and muscle volume relate to knee pain and function among non-overweight postmenopausal females (non-OW PMF).
Methods
In this cross-sectional study, 51 non-OW PMF (BMI<25 kg/m2, 50–85 years) with evidence of early knee OA underwent 3T knee magnetic resonance (MR) imaging (T1-weighted, 2-point Dixon, in-phase images, voxel size: 0.7 × 0.7 × 2.0 mm). Muscle features from MR images of the knee were segmented to compute muscle properties (percentage and volume of IMF, muscle volume). Multivariable linear regression determined the relationships between these muscle properties (slice-wise and volume-wise) and of knee pain (Knee Injury and Osteoarthritis Outcome Score (KOOS) questionnaire, Intermittent and Constant Osteoarthritis Pain) and function (40 m walk, 30 s chair stand, 9-step stair climb).
Results
Due to missing parameters, only 42 participants were included in the final analysis (mean age = 62±9 years, BMI = 22.7 ± 3.2 kg/m2, KL score ≥ 2: 14(34.2 %)). A 10 % higher IMF percentage across the full volume of calf slices, but not thigh, was associated with pain scores reflecting greater KOOS knee pain (b = -25.27(-38.44, -12.10)), intermittent pain (b = 36.81(19.25, -54.38)), and constant pain (b = 21.32(2.00, 40.64), as well as longer 40 m walk times (b = 8.43(0.64, 16.21)). b refers to the unstandardized beta coefficient.
Conclusion
Greater IMF in the periarticular calf is associated with greater knee pain and worse functional status among non-OW PMW with varying degrees of knee pain. Our finding highlights the need to closely study the role of the periarticular calf in knee OA by extending knee MRI scans to encompass a larger field of view to capture more muscle both proximal and distal from the joint line.
目的 确定关节周围肌肉的特性与膝关节 OA 结果的关系，特别是肌肉间和肌肉内脂肪 (IMF) 含量（百分比、体积）和肌肉体积与非超重绝经后女性（非 OW PMF）膝关节疼痛和功能的关系。方法在这项横断面研究中，51 名有早期膝关节 OA 证据的非 OW PMF（BMI<25 kg/m2，50-85 岁）接受了 3T 膝关节磁共振（MR）成像（T1 加权、2 点 Dixon、同相位图像，体素大小：0.7 × 0.7 × 2.0 mm）。对膝关节核磁共振图像中的肌肉特征进行分割，以计算肌肉属性（IMF的百分比和体积、肌肉体积）。多变量线性回归确定了这些肌肉特性（切片和体积）与膝关节疼痛（膝关节损伤和骨关节炎结果评分（KOOS）问卷、间歇性和持续性骨关节炎疼痛）和功能（40 米步行、30 秒椅子站立、9 步爬楼梯）之间的关系。结果由于参数缺失，只有42名参与者被纳入最终分析（平均年龄=62±9岁，体重指数=22.7±3.2 kg/m2，KL评分≥2：14（34.2%））。整个小腿切片（而非大腿）的 IMF 百分比高 10 % 与疼痛评分相关，反映出更大的 KOOS 膝关节疼痛（b = -25.27（-38.44，-12.10））、间歇性疼痛（b = 36.81（19.25，-54.38））和持续性疼痛（b = 21.32（2.00，40.结论小腿关节周围的 IMF 越大，膝关节疼痛越重，膝关节功能状况越差。我们的发现突出表明，有必要通过扩大膝关节磁共振成像扫描的视野来捕捉关节线近端和远端的更多肌肉，从而密切研究小腿关节周围在膝关节OA中的作用。
{"title":"The Relationship Between Periarticular Muscle Properties and Knee Pain in Non-Overweight Postmenopausal Females","authors":"Si Wen Liu , Kenneth Tam , Nima Yazdankhah , Vahid Anwari , Emily Ha , Rachel Whyte , Ali Naraghi , Marshall S. Sussman , Rakesh Mohankumar , James D. Johnston , Linda Probyn , Evelyn Wong , Crystal MacKay , Dmitry Rozenberg , Andy Kin On Wong","doi":"10.1016/j.ostima.2023.100168","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100168","url":null,"abstract":"<div><h3>Objective</h3><p>To determine how properties of periarticular muscle relate to knee OA outcomes, specifically how inter- and intramuscular fat (IMF) content (percentage, volume) and muscle volume relate to knee pain and function among non-overweight postmenopausal females (non-OW PMF).</p></div><div><h3>Methods</h3><p>In this cross-sectional study, 51 non-OW PMF (BMI<25 kg/m<sup>2</sup>, 50–85 years) with evidence of early knee OA underwent 3T knee magnetic resonance (MR) imaging (T1-weighted, 2-point Dixon, in-phase images, voxel size: 0.7 × 0.7 × 2.0 mm). Muscle features from MR images of the knee were segmented to compute muscle properties (percentage and volume of IMF, muscle volume). Multivariable linear regression determined the relationships between these muscle properties (slice-wise and volume-wise) and of knee pain (Knee Injury and Osteoarthritis Outcome Score (KOOS) questionnaire, Intermittent and Constant Osteoarthritis Pain) and function (40 m walk, 30 s chair stand, 9-step stair climb).</p></div><div><h3>Results</h3><p>Due to missing parameters, only 42 participants were included in the final analysis (mean age = 62±9 years, BMI = 22.7 ± 3.2 kg/m<sup>2</sup>, KL score ≥ 2: 14(34.2 %)). A 10 % higher IMF percentage across the full volume of calf slices, but not thigh, was associated with pain scores reflecting greater KOOS knee pain (<em>b</em> = -25.27(-38.44, -12.10)), intermittent pain (<em>b</em> = 36.81(19.25, -54.38)), and constant pain (<em>b</em> = 21.32(2.00, 40.64), as well as longer 40 m walk times (<em>b</em> = 8.43(0.64, 16.21)). b refers to the unstandardized beta coefficient.</p></div><div><h3>Conclusion</h3><p>Greater IMF in the periarticular calf is associated with greater knee pain and worse functional status among non-OW PMW with varying degrees of knee pain. Our finding highlights the need to closely study the role of the periarticular calf in knee OA by extending knee MRI scans to encompass a larger field of view to capture more muscle both proximal and distal from the joint line.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 4","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772654123000867/pdfft?md5=7f5a6891799cb36ab268eca022f63e16&pid=1-s2.0-S2772654123000867-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138557458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1016/j.ostima.2023.100128
J.E. Schadow , D. Maxey , T.O. Smith , M.A.J. Finnilä , S.L. Manske , N.A. Segal , A.K.O. Wong , R.A. Davey , T. Turmezei , K.S. Stok
{"title":"SYSTEMATIC REVIEW OF COMPUTED TOMOGRAPHY PARAMETERS USED FOR THE ASSESSMENT OF SUBCHONDRAL BONE IN OSTEOARTHRITIS","authors":"J.E. Schadow , D. Maxey , T.O. Smith , M.A.J. Finnilä , S.L. Manske , N.A. Segal , A.K.O. Wong , R.A. Davey , T. Turmezei , K.S. Stok","doi":"10.1016/j.ostima.2023.100128","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100128","url":null,"abstract":"","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 ","pages":"116948"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49865103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1016/j.ostima.2023.100161
Ozkan Cigdem, Cem M Deniz
Objective
The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.
Methods
A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.
Results
395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.
Conclusions
The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.
{"title":"Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022","authors":"Ozkan Cigdem, Cem M Deniz","doi":"10.1016/j.ostima.2023.100161","DOIUrl":"https://doi.org/10.1016/j.ostima.2023.100161","url":null,"abstract":"<div><h3>Objective</h3><p>The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.</p></div><div><h3>Methods</h3><p>A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.</p></div><div><h3>Results</h3><p>395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.</p></div><div><h3>Conclusions</h3><p>The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100161"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49891179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1016/j.ostima.2023.100163
Ali Guermazi , David J. Hunter , Margreet Kloppenburg
Intra-articular corticosteroids injections are a widely used treatment for pain from symptomatic osteoarthritis. Systematic reviews show that the treatment effect is modest compared with intra-articular saline (often considered as placebo) and lasts for 2-4 weeks on average. Potentially as a consequence of limited therapeutic duration, repeated injections are often given up to 4 injections annually. In this context of repeat injections, recent evidence has emerged that intra-articular corticosteroids might be associated with more MRI-assessed quantitative cartilage thickness loss than saline injections. Guidelines vary in the recommendation for use of intra-articular corticosteroids. Given the frequency with which intra-articular corticosteroids injections are used, the size and scale of the population with osteoarthritis, it is critical to fully understand the benefits and drawbacks of intra-articular corticosteroids injections. That is the focus of this debate article.
{"title":"Debate: Intra-articular steroid injections for osteoarthritis – harmful or helpful?","authors":"Ali Guermazi , David J. Hunter , Margreet Kloppenburg","doi":"10.1016/j.ostima.2023.100163","DOIUrl":"10.1016/j.ostima.2023.100163","url":null,"abstract":"<div><p>Intra-articular corticosteroids injections are a widely used treatment for pain from symptomatic osteoarthritis. Systematic reviews show that the treatment effect is modest compared with intra-articular saline (often considered as placebo) and lasts for 2-4 weeks on average. Potentially as a consequence of limited therapeutic duration, repeated injections are often given up to 4 injections annually. In this context of repeat injections, recent evidence has emerged that intra-articular corticosteroids might be associated with more MRI-assessed quantitative cartilage thickness loss than saline injections. Guidelines vary in the recommendation for use of intra-articular corticosteroids. Given the frequency with which intra-articular corticosteroids injections are used, the size and scale of the population with osteoarthritis, it is critical to fully understand the benefits and drawbacks of intra-articular corticosteroids injections. That is the focus of this debate article.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100163"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44915189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01Epub Date: 2023-07-30DOI: 10.1016/j.ostima.2023.100161
Ozkan Cigdem, Cem M Deniz
Objective: The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.
Methods: A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.
Results: 395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.
Conclusions: The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.
{"title":"Artificial intelligence in knee osteoarthritis: A comprehensive review for 2022.","authors":"Ozkan Cigdem, Cem M Deniz","doi":"10.1016/j.ostima.2023.100161","DOIUrl":"10.1016/j.ostima.2023.100161","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this literature review is to yield a comprehensive and exhaustive overview of the existing evidence and up-to-date applications of artificial intelligence for knee osteoarthritis.</p><p><strong>Methods: </strong>A literature review was performed by using PubMed, Google Scholar, and IEEE databases for articles published in peer-reviewed journals in 2022. The articles focusing on the use of artificial intelligence in diagnosis and prognosis of knee osteoarthritis and accelerating the image acquisition were selected. For each selected study, the code availability, considered number of patients and knees, imaging type, covariates, grading type of osteoarthritis, models, validation approaches, objectives, and results were reviewed.</p><p><strong>Results: </strong>395 articles were screened, and 35 of them were reviewed. Eight articles were based on diagnosis, six on prognosis prediction, three on classification, three on accelerated image acquisition, and 15 on segmentation of knee osteoarthritis. 57% of the articles used MRI, 26% radiography, 6% MRI together with radiography, 6% ultrasonography, and 6% only clinical data. 23% of the articles made the computer codes available for their study, and 26% used clinical data. External validation and nested cross-validation were used in 17% and 14% of articles, respectively.</p><p><strong>Conclusions: </strong>The use of artificial intelligence provided a promising potential to enhance the detection and management of knee osteoarthritis. Translating the developed models into clinics is still in the early stages of development. The translation of artificial intelligence models is expected to be further examined in prospective studies to support clinicians in improving routine healthcare practice.</p>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11213283/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47455101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-01DOI: 10.1016/j.ostima.2023.100162
John C. Ramsdell , Bruce D. Beynnon , Andrew S. Borah , Mack G. Gardner-Morse , Jiming Zhang , Mickey I. Krug , Timothy W. Tourville , Matthew Geeslin , Mathew J. Failla , Pamela M. Vacek , Niccolo M. Fiorentino
Objective
Quantitative magnetic resonance imaging (qMRI) parameters such as T1ρ and T2* characterize changes in cartilage matrix composition prior to cartilage loss. However, T1ρ and T2* measurement reliability in phantoms that mimic in vivo knee size and position within the scanner bore (left or right side of isocenter) is unknown. This study aimed to quantify sources of variance, and the systematic differences between left and right positions in T1ρ and T2* in small vials of a commercially available phantom and a knee-sized phantom.
Methods
Phantoms were imaged 100 mm to the left and right of isocenter on five days using 3D MAPSS (T1ρ) and 3D gradient echo (T2*) sequences at 3T. Variance component analysis estimated the variability attributable to slice, side, vial, and day. Measurement error was quantified with 95% confidence intervals (CI). Paired t-tests evaluated systematic differences between the left and right imaging locations (p<.05).
Results
Averaged across days the left-to-right phantom positions produced differences of 0.1 ms (p<.0001) for T1ρ and -0.8 ms (p<.0001) for T2* in the knee-sized phantoms, and differences ranged from -1.5 ± 0.3 ms (p=.0004) to -0.4 ± 0.4 ms (p=.045) for T1ρ and -3.3 ± 2.5 ms (p<.0001) to 2.3 ± 1.5 ms (p<.0001) for T2* in the small vial phantoms. The total variance for T2* was much less for the knee-sized phantom (0.9) than the small-vial pairs with the same concentration (7.0).
Conclusions
This study revealed a position and phantom size dependence on qMRI parameters not reported previously. Future studies and quality control acquisitions should consider position within the MR scanner and phantom size in their design.
目的定量磁共振成像(qMRI)参数如T1ρ和T2*表征软骨丢失前软骨基质成分的变化。然而，在模拟体内膝关节尺寸和扫描仪孔内位置(等心左侧或右侧)的模型中，T1ρ和T2*测量的可靠性是未知的。本研究旨在量化方差的来源，以及商用幻影和膝盖大小的幻影小瓶中T1ρ和T2*左、右位置之间的系统差异。方法采用三维MAPSS (T1ρ)和三维梯度回波(T2*)序列在3T时对患者进行5 d等心左右100mm的成像。方差成分分析估计了切片、侧面、小瓶和日的可变性。测量误差以95%置信区间(CI)量化。配对t检验评估了左右成像位置之间的系统差异(p< 0.05)。结果在膝盖大小的幻影中，从左到右的幻影位置对T1ρ产生0.1 ms (p< 0.0001)和对T2*产生-0.8 ms (p< 0.0001)的平均天差异，对T1ρ产生-1.5±0.3 ms (p= 0.0004)到-0.4±0.4 ms (p= 0.045)和对T2*产生-3.3±2.5 ms (p< 0.0001)到2.3±1.5 ms (p< 0.0001)的差异。膝关节大小的幻影T2*的总方差(0.9)远小于相同浓度的小瓶对(7.0)。结论本研究揭示了先前未报道的qMRI参数对体位和幻像大小的依赖性。未来的研究和质量控制应该考虑MR扫描仪内的位置和设计中的幻像尺寸。
{"title":"T1ρ and T2* measurements in small and knee-sized magnetic resonance imaging phantoms: Effect of phantom size and position relative to isocenter","authors":"John C. Ramsdell , Bruce D. Beynnon , Andrew S. Borah , Mack G. Gardner-Morse , Jiming Zhang , Mickey I. Krug , Timothy W. Tourville , Matthew Geeslin , Mathew J. Failla , Pamela M. Vacek , Niccolo M. Fiorentino","doi":"10.1016/j.ostima.2023.100162","DOIUrl":"10.1016/j.ostima.2023.100162","url":null,"abstract":"<div><h3>Objective</h3><p>Quantitative magnetic resonance imaging (qMRI) parameters such as T1ρ and T2* characterize changes in cartilage matrix composition prior to cartilage loss. However, T1ρ and T2* measurement reliability in phantoms that mimic in vivo knee size and position within the scanner bore (left or right side of isocenter) is unknown. This study aimed to quantify sources of variance, and the systematic differences between left and right positions in T1ρ and T2* in small vials of a commercially available phantom and a knee-sized phantom.</p></div><div><h3>Methods</h3><p>Phantoms were imaged 100 mm to the left and right of isocenter on five days using 3D MAPSS (T1ρ) and 3D gradient echo (T2*) sequences at 3T. Variance component analysis estimated the variability attributable to slice, side, vial, and day. Measurement error was quantified with 95% confidence intervals (CI). Paired t-tests evaluated systematic differences between the left and right imaging locations (<em>p</em><.05).</p></div><div><h3>Results</h3><p>Averaged across days the left-to-right phantom positions produced differences of 0.1 ms (<em>p</em><.0001) for T1ρ and -0.8 ms (<em>p</em><.0001) for T2* in the knee-sized phantoms, and differences ranged from -1.5 ± 0.3 ms (<em>p</em>=.0004) to -0.4 ± 0.4 ms (<em>p</em>=.045) for T1ρ and -3.3 ± 2.5 ms (<em>p</em><.0001) to 2.3 ± 1.5 ms (<em>p</em><.0001) for T2* in the small vial phantoms. The total variance for T2* was much less for the knee-sized phantom (0.9) than the small-vial pairs with the same concentration (7.0).</p></div><div><h3>Conclusions</h3><p>This study revealed a position and phantom size dependence on qMRI parameters not reported previously. Future studies and quality control acquisitions should consider position within the MR scanner and phantom size in their design.</p></div>","PeriodicalId":74378,"journal":{"name":"Osteoarthritis imaging","volume":"3 3","pages":"Article 100162"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42921569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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