Gray-scale and color duplex Doppler ultrasound of hand joints in the evaluation of disease activity and treatment in rheumatoid arthritis

Psoriatic arthritis treatment to the target: a consensus, evidence-based clinical practice recommendations for the management of psoriatic arthritis and its concomitant clinical manifestations

Background

We aimed to provide up-to-date, evidence-based and consensus-based recommendations for Treat-to-Target management of psoriatic arthritis (PsA) and associated clinical manifestations.

In this recommendations, 14 key clinical questions were identified by scientific committee according to the Patient/Population, Intervention, Comparison, Outcomes and Timing (PICOT) approach. Literature Review team performed a systematic review to summarize evidence advocating the benefits and harms of available pharmacologic and non-pharmacologic therapies for psoriatic arthritis. Subsequently, recommendations were formulated. The level of evidence was determined for each section using the Oxford Centre for Evidence-based Medicine (CEBM) system. A 3-round Delphi process was conducted with 19 experts whom were drawn from different governorates and health centers across Egypt with diverse in their experiences, including private, governmental workplace, tertiary university hospitals, and insurance hospitals. All rounds were conducted online. A consensus was achieved on the direction and the strength of the recommendations.

Results

An online questionnaire was sent to an expert panel who participated in the three rounds (response rate 100%). At the end of round 3, a total of 51 recommendation items, categorized into 6 sections to address the main 6 psoriatic arthritis categories, were obtained. Agreement with the recommendations (rank 7–9) ranged from 89.5 to 100%. Consensus was reached (i.e., ≥ 75%of respondents strongly agreed or agreed) on the wording of all the 51 clinical standards identified by the scientific committee. Algorithms for the management of psoriatic arthritis have been suggested.

Conclusion

These recommendations provide an updated consensus on the pharmacological treatment of psoriatic arthritis and strategies to reach optimal treat-to-target outcomes in in common clinical scenarios, based on a combination of evidence and expert opinion. Best treatment decisions should be tailored to each individual patient situation.

Ultrasound Color Doppler Image Segmentation and Feature Extraction in MCP and Wrist Region in Evaluation of Rheumatoid Arthritis

The present study focuses on automatically to segment the blood flow pattern of color Doppler ultrasound in hand region of rheumatoid arthritis patients and to correlate the extracted the statistical features and color Doppler parameters with standard parameters. Thirty patients with rheumatoid arthritis (RA) and their total of 300 joints of both the hands, i.e., 240 MCP and 60 wrists were examined in this study. Ultrasound color Doppler of both the hands of all the patients was obtained. Automated segmentation of color Doppler image was performed using color enhancement scaling based segmentation algorithm. The region of interest is fixed in the MCP joints and wrist of the hand. Features were extracted from the defined ROI of the segmented output image. The color fraction was measured using Mimics software. The standard parameters such as HAQ score, DAS 28 score, and ESR was obtained for all the patients. The color fraction tends to be increased in wrist and MCP3 joints which indicate the increased blood flow pattern and color Doppler activity as part of inflammation in hand joints of RA. The ESR correlated significantly with the feature extracted parameters such as mean, standard deviation and entropy in MCP3, MCP4 joint and the wrist region. The developed automated color image segmentation algorithm provides a quantitative analysis for diagnosis and assessment of RA. The correlation study between the color Doppler parameters with the standard parameters provides moral significance in quantitative analysis of RA in MCP3 joint and the wrist region.