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Effects of Integrated Therapeutic Exercises on Pain and Disability in Medial Knee Osteoarthritis

100%

Raghav S. , Singh A. , Mani S. , Srivastava A. , Kumar M.

tom 44

55-62

The purpose of this study was to compare the effect of quadriceps isometric exercises along with hip abductors isometric exercises as integrated exercise with quadriceps exercises in reducing pain, disability in medial knee osteoarthritis. The Total of 54 patients (both male and female) were recruited in this study but on the basis of inclusion and exclusion criteria, only 32 were included in this study. Womac index was opted as outcome measures to collect the data of pain, disability and functional limitation. Participants were randomly assigned to integrated exercise group; (n = 16) (mean age 52) who performed exercises [Quadriceps isometric along with hip abductor isometric exercises] and quadriceps isometric exercises group (n = 16) (mean age 49) performed for 3 weeks. 32 patients were analyzed and the effect of integrated exercises [Quadriceps isometric along with hip abductor isometric exercises] showed a statistically significant difference in pain, disability and functional limitation (p < 0.000). Total duration to collect the pre and post data of pain, disability and functional limitation was 3 weeks. 3 weeks of exercise protocol was effective in both groups in terms of reducing pain and disability but integrated exercises were found to be more effective than quadriceps exercise in improving the pain, disability and functional limitation over the time at the level of significance.

Decreased serum adiponectin reflects low vitamin D, high interleukin 6, and poor physical performance in knee osteoarthritis

63%

Udomsinprasert W. , Manoy P. , Yuktanandana P. , Tanavalee A. , Anomasiri W. , Honsawek S.

nr 3

A comparative analysis of automatic classification and grading methods for knee osteoarthritis focussing on X-ray images

51%

Saini D. , Chand T. , Chouhan D. K. , Prakash M.

tom Vol. 41, no. 2

419--444

Objective: The purpose of present review paper is to introduce the reader to key directions of manual, semi-automatic and automatic knee osteoarthritis (OA) severity classification from plain radiographs. This is a narrative review article in which we have described recent developments in severity evaluation of knee OA from X-ray images. We have primarily focussed on automatic analysis and have reviewed articles in which machine learning, transfer learning, active learning, etc. have been employed on X-ray images to access and classify the severity of knee OA. Methods: All original research articles on OA detection and classification using X-ray images published in English were searched on PubMed database, Google Scholar, RSNA radiology databases in year 2019. The search terms of ‘‘knee Osteoarthritis” were combined with search terms ‘‘Machine Learning”, ‘severity” and ‘‘X-ray”. Results: The initial search on various publication databases revealed a total of 743 results, out of which only 26 articles were considered relevant to radiographic knee OA severity analysis. The majority of the articles were based on automatic analysis. Manual segmentation based articles were least in numbers. Conclusion: Computer aided methods to diagnose knee OA are great tools to detect OA at ealry stages. Advancements in Human Computer Interface systems have led the researchers to bridge the gap between machine learning algorithms and expert healthcare professionals to provide better and timely treatment options to the knee OA affected patients.

Increased apoptosis in human knee osteoarthritis cartilage related to the expression of protein kinase B and protein kinase Calpha in chondrocytes

51%

Chen Q. , Zhang B. , Yi T. , Xia C.

nr 1