To estimate the prevalence of acetabular ossifications in the adult population with asymptomatic, morphologically normal hips at CT and to determine whether the presence of labral ossifications is associated with patient-related (sex, age, BMI), or hip-related parameters (joint space width, and cam- and pincer-type femoroacetabular impingement morphotype). We prospectively included all patients undergoing thoracoabdominal CT over a 3-month period. After exclusion of patients with a clinical history of hip pathology and/or with signs of osteoarthritis on CT, we included a total of 150 hips from 75 patients. We analyzed the presence and the size of labral ossifications around the acetabular rim. The relationships between the size of labral ossifications and patient- and hip-related parameters were tested using multiple regression analysis.Introduction and Objective
Materials and Methods
While knee osteoarthritis (OA) is now recognized as a complex disease affecting the whole joint, not just the cartilages, there remains a paucity of data regarding the interactions between knee components. One relationship of particular interest is between the spatial variations in cartilage thickness (CTh) and subchondral bone mineral density (BMD). Indeed, bone and cartilage are two mechanosensitive tissues that interact as a functional unit and there is evidence of a biomechanical coupling between both tissues. Particularly, a recent in vivo study has shown a positive relationship in non-OA knees with thicker cartilage where bone is denser, and an alteration of this relationship in OA knees. These observations support the concept of an osteochondral unit and warrant additional research to assess the influence of bone depth. Therefore, this study aimed to characterize the relationship between spatial variations in CTh and BMD measured at various depths below the bone surface. CT-arthrography of 20 non-OA tibias and 20 severe medial-compartment OA tibias were segmented to build 3D mesh models of the bones and cartilages. Each individual tibia model was registered to a reference tibia, allowing to calculate BMD maps at 1, 3, 5 and 10mm below the bone-cartilage interface in the medial compartment. Pearson correlations between CTh maps and the four BMD maps were then calculated for each knee. Lastly, differences in correlation coefficients between successive bone layers were assessed using Wilcoxon signed-rank tests. In both OA and non-OA tibias, the correlation coefficients were higher with the BMD measured in the 1mm layer, and followed a pattern of statistically significant decrease with bone layers of increasing depth (p < 0.021). In non-OA tibias, the median relationship was positive with a strong effect size in the 1, 3 and 5mm layers, while in OA tibias the median relationship was positive only in the 1mm layer and with a medium effect size. In the OA tibias, the median relationship was negative with a weak effect size in the 3 and 5mm layers, and it was negative with a medium effect size in the 10mm layer. In conclusion, the results of the present study support the value of considering bone and cartilage as a unit, and more generally support OA pathophysiology models based on relationships among knee properties.
While osteophytes are a hallmark feature of knee osteoarthritis (OA), there is limited information regarding their location. In particular, it is unknown whether osteophytes develop in patient-specific locations or if there are consistent osteophyte locations among OA knees. This lack of data mainly stems from the fact that osteophytes have been mostly assessed with scores quantifying their size or severity but not their location. Given the important role that bone could play in OA development and the option it offers for OA treatment, there is a need to better understand the osteophyte locations. This study aimed to develop a method to compare osteophyte locations among knees and determine the overlapping ratio. CT arthrogram of 11 medial-compartment OA tibias (Kellgren-Lawrence grade ≥ 3) were segmented to locate the osteophytes and a bone matching technique was used to report the osteophyte locations of the 11 knees on a single reference tibia. This newly proposed method was highly reproducible (intra-operator ICC = 0.89). When used to compare the 11 tibias, it showed that more than 60% of the overall subosteophytal area, defined as the reference bone area covered by at least one osteophyte from one knee, was common to less than two tibias. Moreover, less than 20% of the overall subosteophytal area was common to five or more tibias. The results of this study suggest that osteophyte locations are specific to each knee. Future work should determine the relationships with mechanical loading, as this could explain the high inter-patient variability.
Although knee osteoarthritis (OA) has first been thought to be a wear-and-tear disease of the articular cartilage, it is now established that it is a disease of the entire joint. Unfortunately, its complex physiopathology is still incompletely understood, limiting the design of efficient therapeutic options. Recently, it has been suggested that OA could be related to the breakdown of the relationships among knee tissues rather than to isolated alterations of one or more tissues. However, there is a paucity of data regarding relationships among knee tissues. Better understanding the bone and cartilage relationships is thus of particular interest as both tissues contribute to the transfer of the mechanical loads through the joint and altered loading is known to be a main factor of OA onset and progression. Specifically, there is an interest to determine if cartilage thickness (CTh) and subchondral bone mineral density (sBMD), two properties related to loading, are adapted in healthy femurs. CT-arthrography of the knee was performed unilaterally on 16 healthy subjects (8 males; 61.8± 2.8 years old). Bone and cartilage boundaries were segmented on the CT images in order to calculate 3D CTh and sBMD maps. sBMD was calculated as the average intensity of the CT-arthrography in the superficial 3mm of bone. The 3D CTh and sBMD maps were transformed into 2D anatomically-standardized maps to allow comparison among individuals. According to literature, relationships between CTh and sBMD were assessed both in terms of magnitude and spatial distribution. The magnitude of CTh and sBMD was quantified using the ratio between the (CTh and sBMD) values in the load-bearing region of the medial and lateral condyles. The spatial distribution was quantified using the location of thickest cartilage or densest bone in the load-bearing region of the medial condyle. Pearson correlations were performed between CTh and sBMD metrics, using an alpha-level at 5%.Background
Method
Some models of knee osteoarthritis (OA) suggest that the properties of knee tissues are adapted in healthy joints, and that OA development is due to a breakdown in the equilibrium among tissue properties. Cartilage thickness and bone density are particularly important properties in this regard because both are related to the mechanical environment. This study tested the hypothesis that locations of thickest cartilage are associated with locations where bone density is the highest in non-OA tibias. CT-arthrography was performed on six non-OA subjects (2 males; 58± 15 years old). Images were segmented to build 3D models of the bone and cartilage structures. Maps of cartilage thickness were calculated for the medial and lateral subchondral bone areas by measuring the distance between bone and cartilage structures. Bone density maps were calculated based on the intensity of the CT-arthrography signal in the first 3mm of bone. The location of thickest cartilage and most dense bone were measured in the medial and lateral compartments. These locations were then normalised, and paired t-tests and linear regressions were performed to compare the thickness and density locations.Background
Method
Knee osteoarthritis (OA) is a serious health concern, requiring novel therapeutic options. Walking mechanics has long been identified as an important factor in the OA process. Specially, a larger peak knee adduction moment during the first half of stance (KAM) has been associated with the progression of medial knee OA. Consequently, various gait interventions have been designed to reduce the KAM, including walking with a decreased foot progression angle (FPA). Other gait variables have recently been associated with medial knee OA progression, particularly a larger peak knee flexion moment during stance (KFM) and a larger knee flexion angle at heel-strike (KFA). Currently, there is a paucity of data regarding the effect of reducing the FPA on the KFM and KFA. This study aimed to test for correlations between the FPA and the KAM, KFM and KFA. It was hypothesized that reducing the FPA is beneficial with respect to these three OA-related gait variables. Seven healthy subjects participated in this study after providing informed consent (4 male; 24 ± 5 years old; 21.9 ± 1.5 kg/m^2). Their walking mechanics was determined using a validated procedure based on a camera-based system (Vicon) and floor-mounted forceplates (Kistler). Participants were first asked to walk without instructions and these initial trials were used to determine their normal footstep characteristics. Then, footsteps with the same characteristics as during the normal trials, except for the FPA, were displayed on the floor and participants were requested to walk following these footsteps. Nine trials with visual instructions were collected for each participant, corresponding to FPA modifications in the range ± 20° compared to the normal FPA, with 5° increment. For each participant, the associations between FPA and knee biomechanics (KAM, KFM and KFA) were assessed using Pearson correlations based on the data from the 9 trials with FPA variations. Significant level was set a priori to 5%. Significant correlations were noted between FPA and KAM for 5 out of the 7 participants, with R comprised between 0.75 and 0.96. Four participants also reported significant correlations between FPA and KFA (−0.88<R<−0.69). Significant correlations between FPA and KFM were observed in 2 participants, with inconsistent R (−0.68 and 0.78). There was no significant correlation between FPA and walking speed for none of the participants. While the results confirmed that decreasing the FPA (toeing in) is often associated with a KAM reduction, they also showed relationships between decreased FPA and increased KFA. Therefore, this study suggests that reducing the FPA should be done in consideration of the possible negative changes in KFA. Similarly, although only one participant increased the KFM when decreasing the FPA, it seems important monitoring the effects FPA modifications could have on the KFM. The large variations observed among participants further suggest individualized gait modifications. This study should be extended to medial knee OA patients and longitudinal research is necessary to better understand the effects of decreasing the FPA.
Knee osteoarthritis (OA) affects an estimated 250 million people worldwide, with a cure yet to be found. Consequently, there is an urgent need to improve our understanding of OA physiopathology. While knee OA has long been mostly described as a loss of cartilage thickness (CTh) and research has focused on this characteristic, the role of bone alterations is rapidly gaining in interest. Analyzing subchondral bone mineral density (sBMD) is particularly interesting because this could inform on the mechanical environment at the knee. However, there is a paucity of data on sBMD in literature mainly because of the lack of prior methods to measure this parameter. A method for 3D sBMD assessment based on computed tomography (CT) scans was recently proposed, thus allowing testing for sBMD differences in knee OA. This study aimed at comparing non-OA and medial OA knees in terms of tibial sBMD and CTh. Specifically, it was hypothesized that sBMD and CTh differ with OA. Ten knees with severe medial OA and 10 matched non-OA knees were analyzed after ethical approval (50% male; 60 ± 3 years old). The arthro-CT scans of the 20 knees were segmented using custom software to build 3D mesh models of the tibial bone and cartilage. CTh maps were obtained by calculating the distance between cartilage and bone meshes, while sBMD maps were calculated based on the intensity of the CT in the first 3mm of bone. For each knee, the average CTh and sBMD values over the entire medial and lateral compartments were calculated and used to determine the medial-to-lateral (M/L) CTh and sBMD ratios. Unpaired t-tests and receiver operating characteristic (ROC) were used for statistical analysis. The M/L sBMD ratio was significantly higher in OA compared to non-OA knees (1.14 ± 0.04 vs. 1.08 ± 0.03; p<0.01), whereas the CTh ratio was not significantly different between groups (0.70 ± 0.21 vs. 0.85 ± 0.10; p=0.06). No significant differences were found between OA and non-OA knees for the average medial CTh and sBMD (p>0.4). High classification performance was obtained for the sBMD ratio and low performance for the average sBMD in the medial compartment (areas under the ROC curve of 0.9 and 0.6, respectively). CTh ratio and medial compartment average provided medium classification performances (areas under the curve of 0.7). This study showed that sBMD differed between non-OA and severe medial OA knees and that sBMD M/L ratio was more sensitive to OA severity than CTh variables. These results brought new insights into the pathogenesis of knee OA, by supporting the idea that sBMD is altered with OA and suggesting that sBMD could play a role in disease development. Indeed, the mechanical stresses on the cartilages are related to the mechanical characteristics of the bones. Indirectly, this study also demonstrated the value of arthro-CT scans to simultaneously assess sBMD and CTh. Additional studies with larger cohorts of patients at different stages of the disease are necessary to better understand when changes in sBMD occur.
In many fields, such as orthopedics and rehabilitation, measurement of segment orientation or three-dimensional (3D) joint rotation is highly required. However, even if laboratory systems (e.g., optical-based tracker) are enough accurate for human movement measurement, they have some limitations (e.g., cost, complexity, capture volume) that exclude their uses in routine practice. Recently, our group proposed an original system fusing a low level magnetic tracker (Minuteman®, Polhemus, USA) and 3D gyroscopes (Physilog®, BioAGM, CH) to measure segments orientation. These complementary devices were selected with the aim to provide real time orientation in clinical environment and without restriction on the acquisition duration. The objective of the present study was to assess the performances of this new system in routine clinical applications. For this evaluation, five healthy young men were enrolled and the orientation of their left thigh was considered. They were asked to perform two times a long scenario (14 min) which included various postures (standing, sitting and lying) and activities (e.g., walking and stairs climbing). These activities were realized both, in the vicinity and far from the magnetic source. Additionally, different metallic objects were inserted and moved in the capture volume to simulate assisted clinical applications. An optical motion capture system (VICON®, UK) was used as reference. In the absence of magnetic distortion and independently of the activity, we obtained a RMS orientation error of 1.2°. Generally, during distortion periods we obtained a slow growing orientation error of about 0.1°/s whatever the activity. In conclusion, the proposed system provided an accurate and real-time measurement of orientation in a large capture volume over a long duration. Furthermore the system performances were tested in an environment including representative distortions of routine clinical uses. In combination with a functional calibration, this system was very promising for routine measurements of 3D joint rotations.
Recently, many mathematical descriptors were proposed to quantify 3D motions of the foot and ankle complex. However, since the ranges of rotation in foot joints are rather small, the reliability of these kinematic assessments is questionable. Particularly, achievement of acceptable results for clinical decision makings demands to extract repeatable features. In this study, repeatability of kinematics assessment of multi-segment foot by means of different mathematical descriptors was investigated. 25 tiny markers were mounted on dominant anatomical landmarks of the foot and ankle complex. Six young healthy subjects were asked to walk over a forceplate surrounded by six infra-red cameras. Marker trajectories were captured during one stance phase and several trials per subject were recorded. Foot and ankle complex was considered as six rigid segments:
Shank, Hindfoot, Mid-foot, Medial forefoot Lateral forefoot Toes. 3D angles between each pair of segments (i.e., 1~2, 2~3, 3~4, 3~5 and 4~6) were calculated based on three common mathematical descriptors:
helical angle, joint coordinate system and projection angles. Then, the coefficient of multiple correlations (CMC) was used to estimate the degree of similarity among joint angle patterns for intra-subject and inter-subjects trials. It was observed that the three angle calculation methods had comparable repeatability for both intra-subject and inter-subjects kinematics. No significant difference among their repeatability was noticed. Most of angles showed good pattern repeatability intra-subject and acceptable pattern repeatability inter-subjects. In conclusion, all three calculation methods for foot joint angles can be reliably applied. Further studies enrolling patients with foot and ankle pathology are necessary to investigate the relevance of these measurements for clinical evaluations.
