Prediction of recurrence and remission using superb microvascular imaging in rheumatoid arthritis

The Use of Superb Microvascular Imaging in Evaluating Rheumatic Diseases: A Systematic Review

Background and Objectives: Superb microvascular imaging is an advanced Doppler algorithm that seems to be useful in detecting low-velocity blood flow without using a contrast agent. Increasing evidence suggests that SMI is a more sensitive tool than conventional Doppler techniques for evaluating rheumatic diseases, especially inflammatory arthritis. We aimed to assess the use of SMI in evaluating joints and extraarticular structures. Materials and Methods: Two reviewers independently reviewed the literature to provide a global overview of the possibilities of SMI in rheumatology. Original English-language articles published between February 2014 and November 2022 were identified through database (PubMed, Medline, Ebsco, the Cochrane Library, and ScienceDirect) searching, and analysed to summarise existing evidence according to PRISMA methodology. Inclusion criteria covered original research articles reporting applications of SMI on rheumatic diseases and musculoskeletal disorders secondary to rheumatic conditions. Qualitative data synthesis was performed. Results: A total of 18 articles were included. No systematic reviews fulfilled our inclusion criteria. Most studies focused on characterising the synovial vascularity of rheumatoid arthritis. There have been several attempts to demonstrate SMI's value for evaluating extra-articular soft tissues (fat pads or salivary glands) and large-diameter vessels. The quantitative importance of SMI vascular indices could become a useful non-invasive diagnostic marker. Studies on therapeutic applications are still scarce, and the majority of studies have gaps in reporting the methodology (ultrasound performance technique and settings) of the research. Conclusions: SMI has proved to be useful in characterising low-flow vascularity, and growing evidence indicates that SMI is a non-invasive and lower-cost tool for prognostic assessment, especially in inflammatory arthritis. Preliminary findings also suggest potential interest in evaluating the effect of treatment.

Machine learning-based prediction of relapse in rheumatoid arthritis patients using data on ultrasound examination and blood test

Recent effective therapies enable most rheumatoid arthritis (RA) patients to achieve remission; however, some patients experience relapse. We aimed to predict relapse in RA patients through machine learning (ML) using data on ultrasound (US) examination and blood test. Overall, 210 patients with RA in remission at baseline were dichotomized into remission (n = 150) and relapse (n = 60) based on the disease activity at 2-year follow-up. Three ML classifiers [Logistic Regression, Random Forest, and extreme gradient boosting (XGBoost)] and data on 73 features (14 US examination data, 54 blood test data, and five data on patient information) at baseline were used for predicting relapse. The best performance was obtained using the XGBoost classifier (area under the receiver operator characteristic curve (AUC) = 0.747), compared with Random Forest and Logistic Regression (AUC = 0.719 and 0.701, respectively). In the XGBoost classifier prediction, ten important features, including wrist/metatarsophalangeal superb microvascular imaging scores, were selected using the recursive feature elimination method. The performance was superior to that predicted by researcher-selected features, which are conventional prognostic markers. These results suggest that ML can provide an accurate prediction of relapse in RA patients, and the use of predictive algorithms may facilitate personalized treatment options.

Musculoskeletal ultrasound for treating rheumatoid arthritis to target-a systematic literature review

OBJECTIVE

We aimed to systematically review the literature to retrieve evidence on the diagnostic and prognostic value of musculoskeletal ultrasound for a treat to target (T2T) approach in RA.

METHODS

Eight research questions were developed addressing the role of ultrasound (including different ultrasound scores and elementary lesions) for diagnosis, monitoring and prognosis of RA. PubMed and EMBASE were searched (2005-2020). Articles on RA and reporting data on musculoskeletal ultrasound were included and extracted according to the underlying questions, and risk of bias assessed according to the study design.

RESULTS

Out of 4632 records, 60 articles were included. Due to clinical heterogeneity, meta-analysis was not possible. Ultrasound better predicted disease relapses with respect to clinical examination in patients in remission, while both methods performed similarly in predicting response to therapy, achievement of remission and radiographic progression. Ultrasound was superior to clinical examination in diagnosing joint involvement using another imaging modality, such as magnetic resonance imaging, as reference. Limited ultrasound scores performed like more extensive evaluations for the detection of joint inflammation and for outcome prediction. Higher ultrasound scores of synovitis were linked to poor outcomes at all disease stages, but a specific cut-off distinguishing between low- and high-risk groups did not emerge.

CONCLUSIONS

These data confirm the pivotal role of ultrasound when evaluating synovial inflammation and when identifying RA patients at higher risk of relapse. Further research is needed to better define the role of ultrasound in a T2T management strategy in moderately-to-highly active RA.

Region specificity of rheumatoid foot symptoms associated with ultrasound-detected synovitis and joint destruction

OBJECTIVES

We aimed to clarify the clinical implication of ultrasound (US)-detected foot joint inflammation in tightly controlled patients with rheumatoid arthritis (RA).

METHODS

We evaluated bilateral foot joints (second to fifth metatarsophalangeal joints of forefoot; tarsometatarsal, cuneonavicular and midtarsal joints of midfoot) of 430 RA patients for synovitis using Power Doppler (PD) imaging by US. We made a cross-sectional and a 3-year longitudinal analysis about the associations of US-detected synovitis with clinical, laboratory and radiographic data as well as foot-specific outcomes using a self-administered foot evaluation questionnaire (SAFE-Q).

RESULTS

The US-detected foot synovitis was seen in 28% of patients. The US-detected synovitis was closely related to 28 joint-disease activity score (DAS28) more in the forefoot than in the midfoot, while related to joint destruction in both. Multiple regression analyses showed significant associations between midfoot PD positivity and SAFE-Q in the remission group. SAFE-Q was worsened after the 3-year interval, but PD positivity at baseline did not contribute to the changes. On the other hand, destruction of the joints with US-detected synovitis significantly progressed in 3 years than with not.

CONCLUSIONS

US-detected synovitis on foot joints were related to systemic inflammation, clinical symptoms, and future joint destruction with region specificity.

Positive rate and prognostic significance of the superb microvascular imaging signal in joints of rheumatoid arthritis patients in remission with normal C-reactive protein levels and erythrocyte sedimentation rates

PURPOSE

This study aimed to evaluate the positive rate and prognostic significance of superb microvascular imaging (SMI) in rheumatoid arthritis (RA) patients in remission with normal C-reactive protein (CRP) levels and erythrocyte sedimentation rates (ESR).

METHODS

The study enrolled 112 RA patients, and ultrasound (US) assessment was performed on 28 joints of each patient.

RESULTS

The SMI signal-positive rates for each joint were: metacarpophalangeal (MCP) joints: 20.5%, wrist joints: 43.8%, metatarsophalangeal (MTP) joints: 17.0%, and other foot joints: 25.0%. Investigation of the prognostic significance of the SMI signal in each joint revealed that only in the MTP joints was the total score of the SMI signal in the patients with relapse significantly higher than that in the patients with remission (P = 0.01). Comparison of the receiver operating characteristics curves for predicting relapse showed that the area under the curve (AUC) of the MTP joints was the highest (AUC = 0.66) of the investigated joints. The optimal threshold for the total MTP SMI score was 1 (accuracy = 83.3%). Positive/negative data of the SMI signal in the MTP joints were not significantly associated with the values of conventional disease activity markers.

CONCLUSION

In RA patients in remission with normal CRP and ESR levels, the percentage of positive SMI signal was highest in the wrist joints. However, the accuracy of the SMI signal for predicting relapse was greatest for the MTP joints, suggesting that US assessment of the MTP joints by SMI is useful for predicting relapse in these patients.

Musculoskeletal ultrasound using superb microvascular imaging documents treatment response to biosimilar infliximab in rheumatoid arthritis

A 60-year-old woman with rheumatoid arthritis consulted for acute flare. She had elevated disease activity score 28 - erythrocyte sedimentation rate (DAS 28-ESR) of 6.88 and clinical disease activity index (CDAI) of 32. Her 12-joint ultrasound revealed widespread joint effusion. Synovial vascularity scores measured through superb microvascular imaging (SMI) and power Doppler were universally increased. We documented her treatment response 2 weeks after she received a single dose of biosimilar infliximab using clinical and sonographic data. Her DAS 28-ESR and CDAI scores decreased to 4.21 and 7.0, respectively. Reduction in synovial vascularity scores was demonstrated using SMI. While there was near total resolution in joint effusion and tenosynovitis, SMI was able to demonstrate synovial vascularity in joints with no clinical swelling nor tenderness. Musculoskeletal ultrasound and superb microvascular imaging are useful adjuncts in evaluating synovitis in rheumatoid arthritis and documenting treatment response through documentation of synovial vascularity, effusion and tenosynovitis.