Atlas of Osteoarthritis

Arden, N K; Blanco, Francisco J.; Cooper, C; Guermazi, Ali; Hayashi, Daichi; Hunter, David J.; Javaid, M K; Rannou, F.; Roemer, Frank W.; Reginster, Jean‐Yves

doi:10.1007/978-1-910315-16-3

Cited by 63 publications

(56 citation statements)

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“…Osteoarthritis (OA) is the result -and the observable status -of inflammatory processes in a joint leading to functional and anatomical impairments. The resulting status often shows irreversible damages to the joint cartilage and the surrounding bone structures 1,2 . The knees are the most commonly affected joints in the human body and knee osteoarthritis (KOA) is more prevalent in females aged 60 years or more compared to males of the same age (13% vs 10%) 3 .…”

Section: Introductionmentioning

confidence: 99%

Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images

Abedin

Antony

McGuinness

et al. 2019

Sci Rep

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Knee osteoarthritis (KOA) is a disease that impairs knee function and causes pain. A radiologist reviews knee X-ray images and grades the severity level of the impairments according to the Kellgren and Lawrence grading scheme; a five-point ordinal scale (0–4). In this study, we used Elastic Net (EN) and Random Forests (RF) to build predictive models using patient assessment data (i.e. signs and symptoms of both knees and medication use) and a convolution neural network (CNN) trained using X-ray images only. Linear mixed effect models (LMM) were used to model the within subject correlation between the two knees. The root mean squared error for the CNN, EN, and RF models was 0.77, 0.97 and 0.94 respectively. The LMM shows similar overall prediction accuracy as the EN regression but correctly accounted for the hierarchical structure of the data resulting in more reliable inference. Useful explanatory variables were identified that could be used for patient monitoring before X-ray imaging. Our analyses suggest that the models trained for predicting the KOA severity levels achieve comparable results when modeling X-ray images and patient data. The subjectivity in the KL grade is still a primary concern.

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Section: Introductionmentioning

confidence: 99%

Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images

Abedin

Antony

McGuinness

et al. 2019

Sci Rep

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“…Osteoarthritis (OA) is a disease of the joints; it is the most common form of arthritis and is caused by the breakdown of joint cartilage and underlying bone (1). In 2004, OA led to moderate-severe disability in 43.4 million people worldwide (2).…”

Section: Introductionmentioning

confidence: 99%

miR‑486‑5p is upregulated in osteoarthritis and inhibits chondrocyte proliferation and migration by suppressing SMAD2

Shi

Guo

et al. 2018

Mol Med Report

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Osteoarthritis (OA) is the most common form of arthritis and is caused by the breakdown of joint cartilage. The present study aimed to investigate an effective method for the treatment of OA. It was demonstrated that, compared with other patients, patients with OA exhibited lower mRNA expression levels of SMAD family member 2 (SMAD2). MicroRNA (miR)‑486‑5p was predicted to bind with SMAD2, which was verified by dual‑luciferase reporter assay. Compared withcontrol patients who had no known history of OA or rheumatoid arthritis, patients with OA exhibited higher miR‑486‑5p expression level. Treatment with miR‑486‑5p mimics inhibited proliferation and migration of CHON‑001 human chondrocytes, and also inhibited the expression levels of type II collagen and aggrecan. However, treatment with a miR‑486‑5p inhibitor promoted proliferation and migration, and the expression of type II collagen and aggrecan. Short interfering RNA‑directed silencing of SMAD2 reversed the upregulated proliferation and migration and the expression level of type II collagen and aggrecan induced by the miR‑486‑5p inhibitor. In conclusion, the results of the present study indicated that miR‑486‑5p was upregulated in OA and may inhibit chondrocyte proliferation and migration by suppressing SMAD2.

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“…Osteoarthritis is a common disease that affects the joints leading to erosion of the cartilage. 1 Its main symptoms are pain, morning stiffness and the reduction of range of flexion and extension of the joint. 2 3.8% of the population complains of knee osteoarthritis.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the effect of aromatherapy in management of knee osteoarthritis patients

Zhang

Kerrin

Zikri

2018

IJCAM

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Objective:The study was performed to evaluate the effectiveness of aromatherapy massage in the treatment of grade two knee osteoarthritis.Patients and methods: 32 cases having bilateral grade two knee osteoarthritis were subjected to a massage with Lavender oil three times per week for four weeks. Results:The 32 patients showed significant improvement in pain on VAS, morning stiffness time and tenderness score just after the end of the sessions. Conclusion:Aromatherapy is a safe and cheap tool for reducing the pain of grade two knee osteoarthritis in patients.Citation: Zhang R, Kerrin TL, Zikri EN. Evaluation of the effect of aromatherapy in management of knee osteoarthritis patients. Int J Complement Alt Med. 2018;11(2):78-80.

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Atlas of Osteoarthritis

Cited by 63 publications

References 0 publications

Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images

Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images

miR‑486‑5p is upregulated in osteoarthritis and inhibits chondrocyte proliferation and migration by suppressing SMAD2

Evaluation of the effect of aromatherapy in management of knee osteoarthritis patients

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