Mylab 60 system

Manufactured by Esaote

Sourced in Italy, France

The MyLab 60 is a diagnostic imaging system designed for various medical applications. It offers core imaging functionalities, but a detailed unbiased description without extrapolation is not available.

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2 protocols using mylab 60 system

Ultrasound Assessment of Hand Osteoarthritis Synovitis

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US examination was performed by a single experienced examiner (PvdM) using a MyLab 60 system (Esaote, Genua, Italy) with an 18–6 MHz linear array transducer. Patient and probe positioning were performed according to EULAR guidelines [10 (link)]. Dedicated scoring systems for US synovitis in hand OA are not yet available. We, therefore, used the standardized scoring system from the Outcome Measurements in Rheumatology Clinical Trials (OMERACT) guidelines that is intended to assess synovitis in hand and wrist joints of RA patients [11 (link)]. In this scoring system, greyscale US (GSUS) findings on joint effusion and synovial thickening [12 (link)], as well as power Doppler (PDUS) findings are graded on a semiquantitive scale ranging between 0 and3 [13 (link),14 (link)]. Features that might potentially lead to misclassification of synovitis by OST were also assessed: extensor tendinitis, flexor tenosynovitis, dorsal vascularity, osteophytes, and erosions. Assessment of synovitis, tendinitis/tenosynovitis, and features potentially misclassifying synovitis, were described in more detail previously.[8 (link)]
With GSUS grade 1 findings frequently present in health controls,[15 (link)] US joint inflammation was defined as GSUS synovitis >1 or PDUS synovitis >0 or a GSUS/PDUS tenosynovitis score >0.

Besselink N.J., Jacobs J.W., Westgeest A.A., van der Meijde P., Welsing P.M., Marijnissen A.C., Lafeber F.P, & Van Spil W.E. (2019). Can optical spectral transmission assess ultrasound-detected synovitis in hand osteoarthritis?. PLoS ONE, 14(2), e0209761.

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Isometric Gastrocnemius Muscle Data

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We used five different datasets in this study (Table I). Data were collected at the University of Graz, the Graz University of Technology and the University of Queensland between 2014 and 2020 on 123 healthy and 38 impaired individuals. Our research was approved by the responsible ethics committees, and their approval numbers are given in Table I. With 1590 recordings, the isometric maximum voluntary contractions (MVC) and passive torque movements (PT) on the medial gastrocnemius (MG) had the largest share in the dataset. A smaller amount of data was collected on the MG during running (48 recordings). The measurements on the lateral gastrocnemius (LG) consist of 109 recordings. The complete and fully anonymous dataset holds 1747 video recordings with a mean length of 19.84 seconds per video. Sequences were captured at frame-rates of 30 frames per second (fps) for studies with an Aixplorer V6 (SuperSonic Imagine, Aix-en-Provence, France) US system (Aixplorer, Fig. 1(a)), 25 fps for studies with the Esaote MyLab60 system (Esaote, Fig. 1(b)), and 30-80 fps for the Telemed ArtUs US (Telemed, Fig. 1(c)), respectively.

Leitner C., Jarolim R., Englmair B., Kruse A., Hernandez K.A.L., Konrad A., Su E.Y., Schrottner J., Kelly L.A., Lichtwark G.A., Tilp M, & Baumgartner C. (2022). A Human-Centered Machine-Learning Approach for Muscle-Tendon Junction Tracking in Ultrasound Images. IEEE transactions on bio-medical engineering, 69(6).

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