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

Matsuo, Hidemasa; Tabuchi, Yuya; Yukimatsu, Risako; Imamura, Akari; Shimizu, Mika; Inagaki, Maiko; Tsuji, Y; Nakabo, Shuichiro; Tsuji, Hideaki; Nakajima, Toshiki; Hashimoto, Motomu; Ito, Hiromu; Morinobu, Akio; Fujii, Yasutomo

doi:10.1007/s10396-021-01102-5

Cited by 4 publications

(6 citation statements)

References 26 publications

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“…Overall, 19 original studies of SMI application in rheumatology were found and 18 [ 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ] of them were analysed because we were not able to obtain the full text of one publication. The majority of the included studies were conducted in Japan [ 11 , 12 , 13 , 14 , 15 ], China [ 16 , 17 , 18 , 19 , 20 ], and Turkey [ 21 , 22 , 23 , 24 ]; single studies were conducted in Australia [ 25 ], Italy [ 26 ], South Korea [ 27 ] and the United Kingdom [ 28 ]. Reference screening provided three additional papers, but only one fulfilled the inclusion criteria and was included for analysis [ 20 ].…”

Section: Resultsmentioning

confidence: 99%

“…Supplemental Table S1 depicts the baseline characteristics of the identified studies and enrolled patients. The most studied rheumatic disease was RA (52.63% of studies) [ 11 , 12 , 13 , 14 , 16 , 18 , 19 , 20 , 26 ] representing up to 63.15% of the studies when analysed in a mixed sample together with non-RA arthritis [ 15 , 28 ]. The main target of the research was synovial vascularity of the joints (84.21%).…”

Section: Resultsmentioning

confidence: 99%

“…The included 18 studies were published between August 2016 and May 2022. Overall, 19 original studies of SMI application in rheumatology were found and 18 [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28] of them were analysed because we were not able to obtain the full text of one publication. The The included 18 studies were published between August 2016 and May 2022.…”

Section: Resultsmentioning

confidence: 99%

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

Seskute,

Jasionyte,

Rugiene

et al. 2023

Medicina

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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.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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

Seskute,

Jasionyte,

Rugiene

et al. 2023

Medicina

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“…Three features (wrist and MTP SMI scores and ESR) were also included in the researcher-selected features. Wrist and MTP SMI scores were reported as prognostic factors 12 , 13 , and ESR is one of RA’s most fundamental inflammation markers 1 , 4 . In the remaining seven features, ALT and height were significantly lower in patients with relapse.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, our group demonstrated the utility of superb microvascular imaging (SMI), a recent innovative type of Doppler US technology used for visualizing minute vessels with low blood flow velocity, in predicting relapse in RA patients 12 . Among joints generally assessed with the US, we showed that wrist and metatarsophalangeal (MTP) SMI scores might be vital for predicting RA relapse, depending on patients’ baseline disease activity 12 , 13 . However, it is unclear whether combining US data and other features, including clinical and biological markers, improves relapse prediction.…”

Section: Introductionmentioning

confidence: 99%

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

Matsuo

Kamada

Imamura

et al. 2022

Sci Rep

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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.

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Evaluation of tenosynovitis in patients with seronegative rheumatoid arthritis using microvascular flow imaging

Wang

et al. 2022

Medical Engineering & Physics

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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

Cited by 4 publications

References 26 publications

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

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

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

Evaluation of tenosynovitis in patients with seronegative rheumatoid arthritis using microvascular flow imaging

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