Relationship between the goniometric alignment and articular cartilage damage in knee osteoarthritis

Amaratunga, H. A.; Adikari, S. B.; Dassanayake, Tharaka L.; Gamage, Jinadasa; Suraweera, H. J.

doi:10.4038/cmj.v62i3.8520

Cited by 2 publications

(1 citation statement)

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“…In the current study, the misalignment of the knee was assessed from two different clinical imaging modalities as well as using a traditional goniometer device. Goniometer is widely used in clinical practice and has been applied in OA studies [16], however despite the measurement being fast and easy to perform, its reliability to define the varus-valgus angle is low [17]. Conventional knee radiography allows to determine the actual anatomical angle between the femur and the tibia (an angle close to the one assessed by goniometer), but here we decided to focus on the JLCA as it is more representative of the difference in cartilage thicknesses between medial and lateral sides.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Assessment of Osteoarthritic Knee Instability: Comparison with Conventional Imaging Modalities

et al. 2018

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Knee osteoarthritis (OA) is the most common musculoskeletal disorder affecting all populations. One common knee OA symptom is instability; thus its assessment could allow diagnosing and following-up of the disease without using conventional imaging techniques, such as plain radiography or magnetic resonance imaging (MRI). Knee kinematic measurements using accelerometers could provide a low-cost and non-invasive option to quantify knee instability. The aim of this study was to assess the relationships between kinematic data, instability parameters derived from the imaging techniques, goniometer-based measurements, and radiological OA stage. The right knees of 66 females (44-67 years) were examined using MRI, plain radiography, and goniometer-based angle measurement. Kellgren-Lawrence (KL) grade and the joint line convergence angle (JLCA) were determined from the radiographs. Cartilage thickness and OA score (MOAKS) were derived from the MRI. A ratio between lateral and medial cartilage thicknesses was calculated from the average thickness of segmented cartilage over the weight bearing area (MRIratio). Accelerometers attached to thigh and shank were used to record kinematic signals during a one-leg-stand test. Power of the accelerometer signals along the anatomical longitudinal axis (Pacc) was used as a measure of knee instability. Finally, Spearman's correlations between the acquired parameters and KL grade / MOAKS scores were calculated. Leave-one-out cross-validation and logistic regression were used to discriminate OA subjects (KL ≥ 2). All the instability parameters (Pacc, JLCA and MRIratio), except the goniometer angle, showed significant correlations with KL grading (rho=0.32-0.64, p<0.01) and MOAKS composite score (rho=0.35-0.56, p<0.01). Both Pacc and JLCA showed higher areas under the ROC curve to discriminate OA (AUC=0.76 and AUC=0.78) than MRIratio and goniometer angle (AUC=0.55 and AUC=0.56). Our results demonstrate the clinical potential of kinematic knee instability measurements using low-cost accelerometers. Such approach could become a potential new tool in OA diagnostics.

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Section: Discussionmentioning

confidence: 99%