Knee Osteoarthritis Changes Research Articles

Magnetic Resonance Imaging Features and Functional Score in Patients Requiring Total Knee Arthroplasty.

Introduction Knee osteoarthritis (KOA) is a progressive degenerative disease, with an increasing prevalence among the population. The degenerative changes in KOA affect the cartilage, menisci, synovial tissue, and subchondral bone. The treatment for patients in advanced stages of the disease is total knee arthroplasty (TKA). The purpose of this descriptive study is to identify the MRI features in the case of patients with KOA who did not obtain an improvement in symptoms and joint function after the non-surgical treatmentsand who applied for surgical treatment, i.e. TKA. Also, we aimed to identify the correlations between the MRI changes and the functional score of the patients, as well as the inter-variable correlations. Materials and methods The study was conducted in the Department of Orthopedics and Traumatology at the University Emergency Hospital of Bucharest between January 1, 2023, and January 31, 2024. It included 50 patients who required TKA. This study is a prospective, observational, and descriptive analysis focusing on patients scheduled for TKA. Results The patients in the study group who required TKA had a Knee Society Score (KSS) ranging from 35 to 70and a KSS function score between 24 and 60. Among them, 98% had tricompartmental lesions of the articular cartilage, and 100% presented with osteophytes, even when they were not identifiable radiologically. Additionally, 58% of the patients had changes in the infrapatellar fat pad, 66% presented with joint effusion without any traumatic history, and 86% of the patients had partial or complete lesions of the anterior cruciate ligament. Conclusion TheMRI pattern of the patient who requires TKA consists of the presence of articular cartilage lesions in more than two compartments with exposure of the subchondral bone and diameter greater than 1 cm, meniscus lesions (>grade 2), meniscus extrusion (>grade 1), the presence of bone marrow lesions (BMLs) in the medial or lateral compartment of the femur or tibia, hyperintense signal of the infrapatellar fat pad, anterior cruciate ligament (ACL) lesions (>grade 2), and the presence of osteophytes together with the presence of effusion in the suprapatellar bursa. BMLs and changes in the infrapatellar fat pad may lead to the opening of new research perspectives explaining the complex changes in KOA in relation to the inflammatory process and gene expression.

Predictive Factors for Total Knee Arthroplasty: An Observational Study.

Introduction Knee osteoarthritis (KOA) is the most common form of osteoarthritis. It is diagnosed based on clinical symptoms, physical examination, and imaging, most frequently by knee X-ray in at least two views. In front of a patient with early KOA, all the predictive factors and risk factors that can be modified, but also that can lead to a rapid evolution of the symptoms and the need for total knee arthroplasty (TKA), must be taken into account and identified. There were a series of prognostic factors associated with KOA, such as age, sex, BMI, degree of physical activity, decrease in bone mineral density, C-reactive protein, malalignment, clinical severity at baseline, and previous traumas. The treatment of KOA is varied and involves pharmacological and non-pharmacological measures and surgical treatment in the final stages of evolution. Materials and methods In the University Emergency Hospital of Bucharest, Bucharest, Romania, patients with KOA presented to the Department of Orthopedics and Traumatology, and those who required surgical treatment, such as TKA, arthroscopy, or non-surgical treatment, were enrolled. We conducted a descriptive and prospective observational study that included 70 patients clinically and imaging diagnosed with KOA. The inclusion criteria consisted of a patient over 45 years old with knee pain and radiological signs of KOA. The exclusion criteria referred to patients with recent traumatic history, signs of active osteoarticular infection, the lack of radiological changes of KOA that imposed the differential diagnosis, patients known to have rheumatological diseases in the Algic phase, and patients in whom it was not possible to collect complete required data. Results Patients who required TKA were older (65.12 ± 8.19 years) than patients who required other therapeutic interventions (52.55 ± 3.63 years), the difference of 12.57 years being statistically significant (t = -8.882, p ≤ 0.001). Women were more than three times more likely to require TKA than men (80.85% vs. 52.17%, OR = 3.87, CI [1.29, 11.56]). Patients with HBP were more than four times more likely to require TKA than patients without HBP (78.57% vs. 42.86%, OR = 4.88, CI [1.42, 16.82]). Patients with elevated ESR were more than 26 times more likely to require TKA than patients with normal ESR (96.67% vs. 52.50%, OR = 26.23, CI [3.25, 211.67]). There are statistically significant differences between the non-TKA group (mean rank = 60.20) and TKA patients' score (mean rank = 25.62) (U = 6.000, Z = -6.606, p ≤ 0.001). Thus, patients who required TKA had a significantly lower KSS score than patients who required other treatments. Conclusion According to the data obtained in the studied group of patients, the characteristics of the patient at high risk of requiring TKA are the following: a female patient over 65 years of age who associates hypertension, high ESR, and fibrinogen values ​​with KSS score and KSS function with low values, recording an average value of 56.70.

Radiological segmentation of knee meniscus ultrasound images based on boundary constraints and multi-scale fusion network

Knee osteoarthritis (KOA) is one of the most popular joint diseases endangering human health because of its high incidence, disability, and younger onset. However, there is no suitable method for early diagnosis, evaluation, and treatment of KOA. In recent years, some clinical studies have found that ultrasound can detect early changes in KOA in advance, and the automatic segmentation of ultrasound images can achieve rapid and effective quantitative research on KOA. However, in ultrasound images, the soft tissue boundaries of the lesion are blurred, making lesion segmentation difficult. Although the U-Net family is one of the best networks for image segmentation, they still have defects such as blurred segmentation boundaries, distorted morphology, and insufficient accuracy when segmenting ultrasound images. To address this issue, we added attention, atrous spatial pyramid pooling (ASSP), and edge loss function terms into the Unet3+ network, which improved the contour clarity and accuracy of output images (the improved Unet3+ Dice acc = 78.74%. Then, we extract the key features of the improved Unet3+ for outputting meniscus images: calculating meniscus area and distance, where the average accuracy of the area is: area_ avg_ acc = 91.12%, with an average distance accuracy of distance_ avg_ acc = 91.14%. This thesis creates a new dataset collection from West China Hospital, Sichuan University, and automated measurement of knee meniscus protrusion area has been achieved for the first time. This article is the first to apply deep learning to ultrasound image segmentation of the knee meniscus, helping doctors conduct qualitative and quantitative analysis of the diagnosis and treatment of early KOA. The results indicate that the improved Unet3+ can assist doctors in automatically diagnosing and evaluating KOA based on meniscus ultrasound images, which is beneficial for guiding early clinical intervention.

Proteomic and lipidomic landscape of the infrapatellar fat pad and its clinical significance in knee osteoarthritis

Osteoarthritis (OA) is a prevalent joint disease that can be exacerbated by lipid metabolism disorders. The intra-articular fat pad (IFP) has emerged as an active participant in the pathological changes of knee OA (KOA). However, the proteomic and lipidomic differences between IFP tissues from KOA and control individuals remain unclear. Samples of IFP were collected from individuals with and without OA (n = 6, n = 6). Subsequently, these samples underwent liquid chromatography/mass spectrometry-based label-free quantitative proteomic and lipidomic analysis to identify differentially expressed proteins (DEPs) and lipid metabolites (DELMs). The DEPs were further subjected to enrichment analysis, and hub DEPs were identified using multiple algorithms. Additionally, an OA diagnostic model was constructed based on the identified hub DEPs or DELMs. Furthermore, CIBERSORT was utilized to investigate the correlation between hub protein expression and immune-related modules in IFP of OA. Our results revealed the presence of 315 DEPs and eight DELMs in IFP of OA patients compared to the control group. Enrichment analysis of DEPs highlighted potential alterations in pathways related to coagulation, complement, fatty acid metabolism, and adipogenesis. The diagnostic model incorporating four hub DEPs (AUC = 0.861) or eight DELMs (AUC = 0.917) exhibited excellent clinical validity for diagnosing OA. Furthermore, the hub DEPs were found to be associated with immune dysfunction in IFP of OA. This study presents a distinct proteomic and lipidomic landscape of IFP between individuals with OA and those without. These findings provide valuable insights into the molecular changes associated with potential mechanisms underlying OA.

Arthroscopic Transtibial Pullout Repair and Tibial Condylar Valgus Osteotomy for Medial Meniscus Posterior Root Tear With Varus Knee

As an important structure for maintaining the hoop tension of the medial meniscus of the knee joint, the posterior root is receiving increasing attention. Medial meniscus posterior root tear is an important reason for the occurrence, development, and kinematics changes of knee osteoarthritis. It is necessary to repair the posterior root of meniscus for restoring joint kinematics and improving clinical efficacy. This Technical Note reports a medial meniscus posterior root tear repair technique using arthroscopic transtibial pullout repair (ATPR) combined with tibial condylar valgus osteotomy. The aim of this technique is to repair the posterior root of the medial meniscus while correcting the force line through osteotomy, opening the joint gap, improving the joint surface fit, providing a good mechanical environment for meniscus repair, thereby improving the healing rate of the posterior root of the meniscus and reducing the risk of retear. Although clinical evidence is currently limited, we believe that this technology may have more clinical advantages compared with ATPR alone or ATPR combined with high tibial osteotomy.

Association Between Pain and Radiological Changes in Patients with Knee Osteoarthritis

Background: Knee osteoarthritis (OA) is a leading cause of disability worldwide, characterized by joint degeneration, pain, and functional limitations. Despite the prevalence of knee OA, the relationship between radiographic changes and the severity of pain remains complex. Previous studies have offered conflicting views on the association between structural joint alterations and clinical symptoms. Objective: The aim of this study was to investigate the association between radiographic degenerative changes in the knee, as classified by the Kellgren and Lawrence grading system, and the severity of resting pain measured using the Numeric Pain Rating Scale (NPRS). Methods: This cross-sectional study was conducted on 70 patients diagnosed with knee OA at multiple healthcare facilities in Lahore, Pakistan, from July 2022 to January 2023. Participants aged between 40 and 80 years, both males and females, were included. The severity of knee OA was determined using the Kellgren-Lawrence grading system through X-ray evaluations. Pain severity was assessed using the NPRS. Data were analyzed using SPSS version 25.0, with chi-square tests applied to explore the association between radiographic grades of knee OA and pain severity. Results: The distribution of knee OA severity among participants was as follows: Grade I (22.9%), Grade II (25.7%), Grade III (32.9%), and Grade IV (18.6%). Pain severity reported by participants was predominantly mild (55.7%), followed by moderate (37.1%) and severe (7.1%). Statistical analysis revealed a significant association between the grade of knee OA and the severity of resting pain (Chi-square = 30.06, p < 0.0001), indicating that higher grades of knee OA were correlated with increased pain severity. Conclusion: The study confirmed a significant association between radiographic degenerative changes in knee OA and the severity of resting pain. These findings suggest the need for comprehensive clinical assessments in patients with knee OA, incorporating both radiographic evaluations and pain severity measures to guide management and treatment strategies.

Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data.

Deep neural networks are often applied to medical images to automate the problem of medical diagnosis. However, a more clinically relevant question that practitioners usually face is how to predict the future trajectory of a disease. Current methods for prognosis or disease trajectory forecasting often require domain knowledge and are complicated to apply. In this paper, we formulate the prognosis prediction problem as a one-to-many prediction problem. Inspired by a clinical decision-making process with two agents-a radiologist and a general practitioner - we predict prognosis with two transformer-based components that share information with each other. The first transformer in this framework aims to analyze the imaging data, and the second one leverages its internal states as inputs, also fusing them with auxiliary clinical data. The temporal nature of the problem is modeled within the transformer states, allowing us to treat the forecasting problem as a multi-task classification, for which we propose a novel loss. We show the effectiveness of our approach in predicting the development of structural knee osteoarthritis changes and forecasting Alzheimer's disease clinical status directly from raw multi-modal data. The proposed method outperforms multiple state-of-the-art baselines with respect to performance and calibration, both of which are needed for real-world applications. An open-source implementation of our method is made publicly available at https://github.com/Oulu-IMEDS/CLIMATv2.

Effects of extracorporeal shockwave therapy for mild knee osteoarthritis: A pilot study.

Extracorporeal shockwave therapy (ESWT) has been widely used for various musculoskeletal disorders, including knee osteoarthritis (OA), and has been shown in several studies to be a safe treatment. Although some studies have confirmed the pain-relieving effect of ESWT for knee OA, research on objectivity for structural changes in knee OA is lacking. The aim of this study was to evaluate the ESWT treatment mechanisms in patients with knee OA by means of clinical symptoms and ultrasound techniques as objective measures. Eighteen patients with mild knee OA were enrolled and randomized to 1 of 2 treatment groups: active or sham. Patients in the experimental group received 0.05 mJ/mm² total energy with 1000 pulses weekly for 3 weeks. We then assessed them before, immediately after, and 1-month after the last treatment using the following measurements: pain on a visual analog scale, Western Ontario and McMaster Universities Osteoarthritis Index, Lequesne index, knee joint range of motion, and ultrasonographic features (articular cartilage thickness, Doppler activity, and joint effusion height). All 18 patients completed the 3 treatment sessions without any complication. Both the experimental and control groups improved in terms of OA symptoms, as measured by the visual analog scale, Western Ontario and McMaster Universities Osteoarthritis Index score, and Lequesne index (P < .05). The height of the suprapatellar effusion decreased with time course in the experimental group (P < .05) and showed significant differences with control group at 1-month follow-up (P < .05). The experimental group showed an increase in knee flexion range of motion and Doppler activity immediately following the last treatment session (P < .05), but the effect was not sustained at the 1-month follow-up. Although the therapeutic activity itself could improve OA symptoms, objective improvements were only observed after ESWT. Suprapatellar effusion height was reduced after ESWT and the effect was maintained after 1-month. Our results suggest that ESWT may be effective in reducing suprapatellar effusion and improving symptoms in mild knee OA. However, studies with a larger sample size are required.

Age-Associated Changes in Knee Osteoarthritis, Pain-Related Behaviors, and Dorsal Root Ganglia Immunophenotyping of Male and Female Mice.

Osteoarthritis (OA) is a leading cause of chronic pain, yet OA pain management remains poor. Age is the strongest predictor of OA development, and mechanisms driving OA pain are unclear. We undertook this study to characterize age-associated changes in knee OA, pain-related behaviors, and dorsal root ganglion (DRG) molecular phenotypes in mice of both sexes. Male or female C57BL/6 mice 6 or 20 months of age were evaluated for histopathologic knee OA, pain-related behaviors, and L3-L5 DRG immune characterization via flow cytometry. DRG gene expression in older mice and humans was also examined. Male mice at 20 months of age had worse cartilage degeneration than 6-month-old mice. Older female mouse knees showed increased cartilage degeneration but to a lesser degree than those of male mice. Older mice of both sexes had worse mechanical allodynia, knee hyperalgesia, and grip strength compared to younger mice. For both sexes, DRGs from older mice showed decreased CD45+ cells and a significant increase in F4/80+ macrophages and CD11c+ dendritic cells. Older male mouse DRGs showed increased expression of Ccl2 and Ccl5, and older female mouse DRGs showed increased Cxcr4 and Ccl3 expression compared to 6-month-old mouse DRGs, among other differentially expressed genes. Human DRG analysis from 6 individuals >80 years of age revealed elevated CCL2 in men compared to women, whereas CCL3 was higher in DRGs from women. We found that aging in male and female mice is accompanied by mild knee OA, mechanical sensitization, and changes to immune cell populations in the DRG, suggesting novel avenues for development of OA therapies.

Correlation between Abdominal Obesity and Pain in Knee Osteoarthritis.

Obesity is an independent risk factor for the occurrence of knee osteoarthritis. The influence of abdominal obesity is not well studied. We proposed to determine the relationship between total abdominal obesity, pain, and functional impairment with the severity of radiographic changes in knee osteoarthritis. A cross-sectional study including 92 patients with knee pain was performed. The evaluation of degree of pain in the knee was assessed by the visual analogue scale and the functional impairment by WOMAC and Lequesne indices. Radiographic severity was assessed by Kellgren and Lawrence score (KL score). Mean age of patients was 55.2 years (19-86), with a predominance of women (80.4% of patients). Mean body mass index (BMI) was 30.66 kg/m2 (18.5-49.97). Obesity was found in 53 patients (57.6%). The average waist circumference (WC) was 102.82 (± 15.51) centimeters. Abdominal obesity was found in 80 patients (87%). Patients had a mean visual analogue scale (VAS) of 18 ± 23.24 mm. The average algofunctionnal Lequesne score was 8.95 (0-23), and the WOMAC score was 26.82 (0-69). Fifty percent of patients had stage 3 of OA according to KL score. We found no association between BMI and intensity of knee pain (p = 0.278), but WC was significantly associated with the elevation of VAS (p = 0.008). Physical function was positively correlated with BMI and WC (p = 0.001). Finally, BMI and WC were significantly associated with radiographic severity (grade 1-2 of KL vs. grade 3-4 of KL) (respectively, p = 0.001; p = 0.017). Both obesity and abdominal obesity are independently associated with pain, disability, and radiographic severity of knee osteoarthritis.

Neuroplasticity changes in knee osteoarthritis (KOA) indexed by event-related desynchronization/synchronization during a motor inhibition task

Purpose Event-related desynchronisation (ERD) and event-related synchronisation (ERS) reflect pain perception and integration of the nociceptive sensory inputs. This may contribute to the understanding of how neurophysiological markers of Knee Osteoarthritis (KOA) patients can differ from control individuals, which would improve aspects such as prediction and prognosis. We performed a cross-sectional analysis of our cohort study (DEFINE cohort), KOA arm, with 71 patients, compared with 65 control participants. The study aimed to examine possible differences between ERD and ERS in control participants compared to Knee Osteoarthritis (KOA) patients when adjusting for important covariates. Materials and methods We performed independent multivariate regression models considering as dependent variables the power value related to ERD and ERS for four different sensorimotor tasks (Motor Execution, Motor Imagery, Active Observation and Passive Observation) and four sensorimotor oscillations (Alpha, Beta, Low Beta, and High Beta), each model, controlled by age and sex. Results We demonstrate that the differences between KOA and healthy subjects are frequency specific, as most differences are in the beta bandwidth range. Also, we observed that subjects in the KOA group had significantly higher ERD and ERS. This may be correlated to the amount of lack of brain organisation and a subsequent attempt at compensation induced by KOA. Conclusions Our findings strengthen the notion that subjects with KOA have a higher degree of brain plasticity changes that are also likely correlated to the degree of compensation and behavioural dysfunction.

Detection Algorithm of Knee Osteoarthritis Based on Magnetic Resonance Images

Knee osteoarthritis (OA) is a common disease that impairs knee function and causes pain. Currently, studies on the detection of knee OA mainly focus on X-ray images, but X-ray images are insensitive to the changes in knee OA in the early stage. Since magnetic resonance (MR) imaging can observe the early features of knee OA, the knee OA detection algorithm based on MR image is innovatively proposed to judge whether knee OA is suffered. Firstly, the knee MR images are preprocessed before training, including a region of interest clipping, slice selection, and data augmentation. Then the data set was divided by patient-level and the knee OA was classified by the deep transfer learning method based on the DenseNet201 model. The method divides the training process into two stages. The first stage freezes all the base layers and only trains the weights of the embedding neural networks. The second stage unfreezes part of the base layers and trains the unfrozen base layers and the weights of the embedding neural network. In this step, we design a block-by-block fine-tuning strategy for training based on the dense blocks, which improves detection accuracy. We have conducted training experiments with different depth modules, and the experimental results show that gradually adding more dense blocks in the fine-tuning can make the model obtain better detection performance than only training the embedded neural network layer. We achieve an accuracy of 0.921, a sensitivity of 0.960, a precision of 0.885, a specificity of 0.891, an F1-Score of 0.912, and an MCC of 0.836. The comparative experimental results on the OAI-ZIB dataset show that the proposed method outperforms the other detection methods with the accuracy of 92.1%.

Resting-state functional connectivity alteration in elderly patients with knee osteoarthritis and declined cognition: An observational study.

This study is designed to investigate the brain function changed regions in elderly patients with knee osteoarthritis (KOA) and to explore the relationship between neuropsychological tests and resting-state functional magnetic resonance imaging (rs-fMRI) network to clarify the possible mechanism underlying cognitive changes in KOA patients. Fifty-two patients aged ≥ 65 with KOA and twenty-two healthy-matched controls were recruited in this study. All participants were given rs-fMRI check. We used graph theory analysis to characterize functional connectivity (FC) and topological organization of the brain structural network. The relationship between FC values, topological properties, and the neuropsychological test scores was analyzed. Compared with the controls, fourteen edges with lower functional connectivity were noted in the KOA group. Local efficiency and small-worldness of KOA patients decreased compared to the healthy controls. No significant alterations of nodal topological properties were found between the two groups. There was a significant positive correlation between the AVLT-H (L) and the internetwork of default mode network (DMN) (left/right orbitofrontal Superior cortex) and limbic/cortical areas (left/right caudate, right amygdala). AVLT-H(L) was positively correlated with small-worldness and local efficiency. The results indicated that for elderly KOA patients with declined cognition, topological properties, FC between DMN and subcortical limbic network related regions are significantly decreased compared to healthy controls. These alterations demonstrated a significant correlation with the neuropsychological test scores.

Radiological osteoarthritic knee joint changes in high school and collegiate sumo wrestlers: The observational study.

We examined the effects of sumo on their knee joints, and investigated the relationship between radiological changes and knee joints symptoms, and the relationship between knee radiological changes and the physical characteristics of the wrestlers. Fifty-six high-school and 128 college freshman sumo wrestlers who belonged to the Japanese Sumo Federation. To evaluate radiological changes in the knee joints of high-school and college freshmen sumo wrestlers. They underwent routine radiographic examination of their knee joints and were instructed to answer a questionnaire regarding their knee symptoms as a medical check. The mean height, weight, body mass index (BMI), and sumo career/experience of the participants were 174.1 cm, 106.9 kg, 35.1 kg/m2, and 7.9 years, respectively. Twenty-five high-school (44.6%) and 54 collegiate (42.2%) sumo wrestlers had some knee symptoms, which was significantly associated with sumo career as a risk factor. Five high-school (8.9 %) and 18 collegiate (14.1 %) sumo wrestlers had joint space narrowing. Considering the relationship between knee symptoms and radiological changes, significant correlations between osteophyte formation and bony sclerosis and knee symptoms were observed. According to the Kellgren-Laurence (KL) classification, 7 high-school (12.5%) and 26 collegiate (20.3%) sumo wrestlers were grade 2, 3, or 4. The risk factors of degenerative radiographic changes in the knee joints of the participants were heavyweight, large BMI, and older age. The knee osteoarthritic changes had already appeared in 12.5% high-school sumo wrestlers at the admission.

Five-Year Structural Changes in the Knee Among Patients With Meniscal Tear and Osteoarthritis: Data From a Randomized Controlled Trial of Arthroscopic Partial Meniscectomy Versus Physical Therapy.

To estimate the risk of magnetic resonance imaging (MRI)-based structural changes in knee osteoarthritis (OA) among individuals with meniscal tear and knee OA, using MRIs obtained at baseline and 18 and 60 months after randomization in a randomized controlled trial of arthroscopic partial meniscectomy (APM) versus physical therapy (PT). We used data from the Meniscal Tear in Osteoarthritis Research (METEOR) trial. MRIs were read using the MRI OA Knee Score (MOAKS). We used linear mixed-effects models to examine the association between treatment group and continuous MOAKS summary scores, and Poisson regression to assess categorical changes in knee joint structure. Analyses assessed changes in OA between baseline and month 18 and between months 18 and 60. We performed both intention-to-treat and as-treated analyses. The analytic sample included 302 participants. For both treatment groups, more OA changes were seen during the early interval than during the later interval. ITT analysis revealed that, between baseline and month 18, APM was significantly associated with an increased risk of having a worsening cartilage surface area score, involving both any worsening across all knee joint subregions (risk ratio [RR] 1.35 [95% confidence interval (95% CI) 1.14, 1.61]) and the number of subregions damaged (RR 1.44 [95% CI 1.13, 1.85]) having a worsening effusion-synovitis score (RR 2.62 [95% CI 1.32, 5.21]), and having ≥1 additional subregion with osteophytes (RR 1.24 [95% CI 1.02, 1.50]). Significant associations were detected between months 18 and 60 only for having any subregion with a worsening osteophyte score (RR 1.28 [95% CI 1.04, 1.58]). These findings suggest that the association between APM and MRI-based structural changes in knee OA is most apparent during the initial 18 months after surgery. The reason for attenuation of this association over longer follow-up merits further investigation.

Alterations of the White Matter in Patients With Knee Osteoarthritis: A Diffusion Tensor Imaging Study With Tract-Based Spatial Statistics.

BackgroundFunctional and structural alterations in the gray matter have been observed in patients with knee osteoarthritis (KOA). However, little is known about white matter changes in KOA. Here, we evaluated fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) to investigate potential alterations in the white matter of patients with KOA.MethodsA total of 166 patients with KOA, along with 88 age- and sex-matched healthy controls were recruited and underwent brain magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) data were collected and analyzed using tract-based spatial statistics (TBSS). Statistical significances were determined at p < 0.05 and were corrected by the threshold-free cluster enhancement (TFCE) method. Then, we evaluated potential correlations between FA, MD, AD, RD values and disease duration, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, and visual analog scale (VAS) scores.ResultsFA values for the body of corpus callosum, splenium of corpus callosum, bilateral superior longitudinal fasciculus, cingulum, bilateral superior corona radiata, and right posterior corona radiata were significantly higher in patients with KOA than in healthy controls (p < 0.05, TFCE corrected). Compared with healthy controls, patients with KOA also had significantly lower MD, AD, and RD values of the genu of corpus callosum, body of corpus callosum, splenium of corpus callosum, corona radiata, right posterior thalamic radiation, superior longitudinal fasciculus, and middle cerebellar peduncle (p < 0.05, TFCE corrected). Negative correlations were detected between WOMAC scores and AD values for the body of the corpus callosum and the splenium of the corpus callosum (p < 0.05, FDR corrected).ConclusionPatients with KOA exhibited extensive white matter alterations in sensorimotor and pain-related regions. Longitudinal observation studies on the causation between abnormalities in the white matter tracts and KOA is needed in the future.

THE CORRELATION OF JOINT SPACE WIDTH WITH SYNOVIAL FLUID CARTILAGE OLIGOMERIC MATRIX PROTEIN LEVEL IN KNEE OSTEOARTHRITIS PATIENTS

Osteoarthritis (OA) was a degenerative joint disease associated with joint cartilage damage, where the most commonly affected joints are vertebrae, pelvis, knee, and ankle. Pathomechanism of OA includes various etiologies that play a role in the balance destruction and synthesis of cartilage. Radiology examination was the most common method used to monitor the progression of OA but can not show changes in knee OA except in the advanced phase of the disease. Conventional radiology can estimate the thickness of the cartilage through measurement joint space width (JSW). One alternative method that can detect changes in the joint at an early stage of the disease is a measurement of the synthesis and degradation markers of the tissue. Cartilage oligomeric matrix protein (COMP) was one of the cartilage destruction markers of non-aggrecan and non-collagen groups, found in cartilage and other tissues. Several studies have reported the correlation between serum or synovial fluid COMP level with the radiographic progression of knee OA patients. This study aimed to assess the correlation between joint space width and synovial fluid COMP level in knee OA subjects. The study was a descriptive-analytic method with a cross-sectional design in 69 knee OA subjects. It was conducted in the rheumatology outpatient clinic of Wahidin Sudirohusodo Hospital Makassar and its networks on March-June 2015. In this study, we found a correlation between joint space width (JSW) and synovial fluid COMP level, where synovial fluid COMP levels were higher in knee OA subjects with more severe joint space width narrowing, and it was not influenced by age and obesity

Ultrasonographic Changes of the Knee Joint Reflect Symptoms of Early Knee Osteoarthritis in General Population; The Nagahama Study.

ObjectiveRadiographic changes in knee osteoarthritis (OA) are not always associated with symptoms, especially in its early stages. Ultrasonography (US) can detect early changes in the knee joint, but the changes that reflect symptoms have not been fully elucidated. This study aimed to identify US-detectable changes in the knee that are often associated with knee symptoms and demonstrate the feasibility of early diagnosis in symptomatic knee OA using US.DesignIn this cross-sectional community-based study, 1,667 participants aged ≥60 years (1,103 women [66%]) were included. All participants concurrently underwent US and radiography of the knee and completed the Knee Society Knee Scoring System (KSS) questionnaire. Simple and multiple regression analyses were used to examine the associations between US findings and KSS symptom subscales.ResultsAmong all participants, medial meniscus protrusion and medial osteophytes, age, and body mass index showed significant associations with KSS symptom scores. Among 894 participants with Kellgren-Lawrence (KL) grade ≤1, medial osteophytes and age were significantly associated with KSS symptom score. US measures were more related to KSS symptoms than KL grades.ConclusionsAmong the knee US-detectable changes, medial osteophytes were strongly associated with knee symptoms. Osteophytes are reliable predictors of symptomatic early knee OA, even in participants with few radiographic OA changes.

Metabolic obesity and the risk of knee osteoarthritis progression in elderly community residents: A 3-year longitudinal cohort study.

Metabolic syndrome is a major health problem worldwide associated with obesity, thus drawing attention to its relation to osteoarthritis (OA). However, it is still uncertain whether metabolic syndrome or body fat distribution is associated with knee OA. The aim of this longitudinal study was to elucidate the association between metabolic obesity and adverse structural changes of knee OA assessed by magnetic resonance imaging (MRI). Participants were recruited from the Hallym Aging Study cohort in Korea. Knee MRI scans, along with dual-energy X-ray absorptiometry, were assessed in 226 participants at baseline and after 3years. The structural progression in the tibiofemoral joint was evaluated using the semi-quantitative Whole-Organ MRI Score (WORMS) for cartilage morphology and bone marrow lesions (BML). Logistic regression with generalized estimating equation was performed for associations of metabolic risk factors with worsening of WORMS scores at the subregional level. In the medial compartment, fat mass in women was associated with cartilage loss, but the statistical significance disappeared after adjusting for body mass index. Metabolic syndrome and each of its components were not associated with cartilage loss or increase of BML. On the other hand, the interaction effects of metabolic syndrome on the association between obesity and knee OA progression were not significant. In this cohort, metabolic effects of obesity on knee cartilage damage and BML were not demonstrated. Further large-scale studies are required to prove the causal relationship between metabolic obesity and knee OA.

Non‐invasive assessment of knee osteoarthritis patients using thermal imaging

Radiography is a widely used method for grading and tracking the anatomical changes in knee osteoarthritis (OA) patients. The ease of thermography in mapping functional information via the skin temperature (Tsk) helps in the diagnosis of various musculoskeletal diseases. There is a significant involvement of soft tissues in knee OA due to the complex osteoligamentous degeneration, which may affect the knee Tsk. A total of 62 patients with knee OA were analysed using thermography. The mean Tsk was computed by extracting the region of interest from the acquired thermal images using an automatic segmentation technique for frontal, lateral, and medial views. The mean Tsk for grade 1, 2, 3 and 4 were 30.96 ± 0.59, 31.56 ± 0.79, 31.40 ± 1.22, 32.20 ± 0.70 ˚C respectively. A significant temperature difference was found between grade 2 and 4 (p = 0.02, p = 0.018), grade 3 and 4 (p = 0.03, p = 0.02) for frontal and lateral views; whereas no significant difference was found between grade 2 and 3. Further, 2-way ANOVA test showed that risk factors (like age, BMI and duration of disease) do affect the mean Tsk significantly with a p-value of 0.0003, 0.02, and 0.008.