Visualization of Cartilage from Knee Joint Magnetic Resonance Images and Quantitative Assessment to Study the Effect of Age, Gender and Body Mass Index (BMI) in Progressive Osteoarthritis (OA)

Matada, Mallikarjunaswamy Shivagangadharaiah; Holi, Mallikarjun S.; Raman, Rajesh; Suvarna, Sujana Theja Jayaramu

doi:10.2174/1573405614666181018123251

Cited by 7 publications

(9 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the previous studies, a lot of evidence have shown that gender and age are closely related to the occurrence and progression of osteoarthritis. [ 14 ] Furthermore, the relationship between BMI and osteoarthritis has been confirmed in previous literature. Wolfe and Lane have shown that female patients with high body mass index are more likely to suffer from osteoarthritis.…”

Section: Discussionsupporting

confidence: 62%

See 1 more Smart Citation

The incidence and risk factors of contralateral knee arthroplasty after primary unilateral unicompartmental knee arthroplasty

Huang¹,

Li²,

Chen³

et al. 2021

Medicine

View full text Add to dashboard Cite

Unicompartmental knee arthroplasty (UKA) is one of the commonly used surgical methods for unicompartmental osteoarthritis in recent years. Although the prognosis of the operated knee has been widely studied, there are relatively little data on the natural history of the contralateral knee after unilateral replacement. The aim of this study was to explore the incidence and risk factors of consequential knee arthroplasty in patients with bilateral knee osteoarthritis (KOA) after receiving primary unilateral UKA, so as to provide a theoretical basis for making a more comprehensive treatment strategy for patients with KOA. We conducted a retrospective study and enrolled patients with bilateral KOA received unilateral UKA from June 2015 to December 2019 in the third department of joint orthopedics, the third hospital of Hebei Medical University. The patients were divided into replacement group and non-replacement group according to whether the contralateral knee joint received knee arthroplasty. Information about treatment of contralateral knee joint was collected from medical records to determine the incidence. Univariate analysis and multivariate logistic regression analysis were performed to identify the independent risk factors. A total of 502 patients were enrolled in this study. The incidence of contralateral knee arthroplasty was 38.64%. In the univariate analysis, vertical angle of mechanical axis, knee joint's internal and external joint space, Kellgren–Lawrence (K-L) classification, femoral tibial angle were the significant risk factors for contralateral knee arthroplasty. In the multivariate model, only vertical angle of mechanical axis ≥3.03° (odds ratio [OR] 4.36, 95% confidence interval [CI], 2.47–9.11), K-L classification grades 3 and 4 (OR 2.46,3.72; 95%CI, 1.31–4.25, 1.98–6.87), and femoral tibial angle ≥187.32° (OR 6.32, 95%, 2.23–18.87) remained associated with the occurrence of knee arthroplasty. About a quarter of patients with bilateral KOA received unilateral UKA will receive contralateral knee arthroplasty. Higher K-L classification, femoral tibial angle, and mechanical axis vertical angle are identified risk factors.

show abstract

Section: Discussionsupporting

confidence: 62%

“…In the previous studies, a lot of evidence have shown that gender and age are closely related to the occurrence and progression of osteoarthritis [14] . Furthermore, the relationship between BMI and osteoarthritis has been confirmed in previous literature.…”

Section: Discussionsupporting

confidence: 55%

The incidence and risk factors of contralateral knee arthroplasty after primary unilateral unicompartmental knee arthroplasty

Huang¹,

Li²,

Chen³

et al. 2021

Medicine

View full text Add to dashboard Cite

show abstract

“…In Asia, osteoarthritis of the knee is predominant, which may be related to different living habits and living environments. The epidemiological findings show that the peak prevalence of osteoarthritis in men and women can reach 24.7% and 54.6%, respectively, which is one of the diseases that greatly endanger the health of the elderly and seriously affect their quality of life [ 7 ]. With the rapid development of social economy, people's social lifestyle has changed, and the concept of health and medical model is also changing.…”

Section: Introductionmentioning

confidence: 99%

Study on the Influencing Factors of Osteoarthritis in Southern China

Ding

2022

Emergency Medicine International

View full text Add to dashboard Cite

Background. Osteoarthritis (OA) is a common chronic disease with numerous and interacting influencing factors, and current inadequate patient perceptions and behaviors in access to care contribute to the difficulties in the diagnosis, treatment, and management of osteoarthritis. Objective. The purpose of this study was to investigate the influencing factors of osteoarthritis (OA) in a southern Chinese population and to provide a scientific basis for the prevention and treatment of OA. Methods. A 1 : 2 matched case-control study was used to select 160 patients with OA from three hospitals in southern China as a case group. Three hundred and twenty cases of the same sex and similar age (within ± 2 years) were selected as the control group, and relevant data were collected for univariate and multivariate conditional logistic regression analysis. Results. There were no significant differences between the two groups of participants in terms of age, sex, and education ( P > 0.05 ). Logistic regression statistical analysis showed that genetic factors (OR = 4.52, 95% CI = 1.56–7.83), body mass index (OR = 2.57, 95% CI = 1.16–5.84), alcohol consumption (OR = 3.81, 95% CI = 1.53–5.87), and a history of external joint limb injury (OR = 3.37, 95% CI = 1.67–5.24) would increase the risk of OA. In contrast, eating more fresh vegetables (OR = 0.08, 95% CI = 0.03–0.31), more fresh fruits (OR = 0.34, 95% CI = 0.12–0.96), more soy products (OR = 0.11, 95% CI = 0.04–0.45), and exposure to sunlight (OR = 0.31, 95% CI = 0.14–0.71) would reduce the OA risk of OA. Conclusion. Obesity, alcohol consumption, and a history of joint trauma all increase the risk of OA in a southern Chinese population, whereas a diet rich in fresh vegetables, fresh fruit, soy products, and sun exposure would reduce the risk of OA. In the future, we should focus on improving patients’ awareness of medical care and developing their self-management skills, improving GPs’ treatment skills, improving negative attitudes of both doctors and patients, and promoting positive patient care.

show abstract

“…The symptoms, including pain, stiffness and walking disability can increase to the point to deteriorate life quality, leading in some cases to depression [ 5 ]. The pathology is prevalent in the obese female population, and correlates with knee diameter [ 6 , 7 , 8 , 9 ]. Disease frequency and severity increase with increasing age [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images

et al. 2022

View full text Add to dashboard Cite

Background and Objectives: Osteoarthritis (OA) of the knee is a degenerative disorder characterized by damage to the joint cartilage, pain, swelling, and walking disability. The purpose of this study was to assess whether demographic and radiologic parameters (knee diameters and knee cross-sectional area from magnetic resonance (MR) images) could be used as surrogate biomarkers for the prediction of OA. Materials and Methods: The knee diameters and cross-sectional areas of 481 patients were measured on knee MR images, and the corresponding demographic parameters were extracted from the patients’ clinical records. The images were graded based on the modified Outerbridge arthroscopic classification that was used as ground truth. Receiver-operating characteristic (ROC) analysis was performed on the collected data. Results: ROC analysis established that age was the most accurate predictor of severe knee cartilage degeneration (corresponding to Outerbridge grades 3 and 4) with an area under the curve (AUC) of the specificity–sensitivity plot of 0.865 ± 0.02. An age over 41 years was associated with a sensitivity and specificity for severe degeneration of 82.8% (CI: 77.5–87.3%), and 76.4% (CI: 70.4–81.6%), respectively. The second-best degeneration predictor was the normalized knee cross-sectional area, with an AUC of 0.767 ± 0.04), followed by BMI (AUC = 0.739 ± 0.02), and normalized knee maximal diameter (AUC = 0.724 ± 0.05), meaning that knee degeneration increases with increasing knee diameter. Conclusions: Age is the best predictor of knee damage progression in OA and can be used as surrogate marker for knee degeneration. Knee diameters and cross-sectional area also correlate with the extent of cartilage lesions. Though less-accurate predictors of damage progression than age, they have predictive value and are therefore easily available surrogate markers of OA that can be used also by general practitioners and orthopedic surgeons.

show abstract

Visualization of Cartilage from Knee Joint Magnetic Resonance Images and Quantitative Assessment to Study the Effect of Age, Gender and Body Mass Index (BMI) in Progressive Osteoarthritis (OA)

Cited by 7 publications

References 13 publications

The incidence and risk factors of contralateral knee arthroplasty after primary unilateral unicompartmental knee arthroplasty

The incidence and risk factors of contralateral knee arthroplasty after primary unilateral unicompartmental knee arthroplasty

Study on the Influencing Factors of Osteoarthritis in Southern China

Knee Diameter and Cross-Sectional Area as Biomarkers for Cartilage Knee Degeneration on Magnetic Resonance Images

Contact Info

Product

Resources

About