Ml6 15 probe

Manufactured by GE Healthcare

Sourced in United States

The ML6-15 probe is a medical imaging device designed for use with ultrasound systems. It is a linear array transducer that operates within a frequency range of 6 to 15 MHz. The probe is used to capture high-resolution images of various anatomical structures.

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Lab products found in correlation

Logiq e9 us system, by GE Healthcare (1 mentions) Iu22 ultrasound system, by Philips (1 mentions) Logiq e10, by GE Healthcare (1 mentions) Ge discovery mr750, by GE Healthcare (1 mentions) Vivid e7, by GE Healthcare (1 mentions) Logiq s8 us system, by GE Healthcare (1 mentions)

6 protocols using ml6 15 probe

Ultrasound Evaluation of Lower Extremity Bursae

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US examinations of the lower extremity were performed using an iU22 ultrasound system (Philips Healthcare, Bothell, WA, USA) with a L5-12 probe or LOGIQ E9 US system (GE Healthcare, WI, USA) with a ML6-15 probe. The examined lower extremity bursae included the bilateral suprapatellar bursa (SPB), deep infrapatellar bursa (DIPB), popliteal bursa (PB), and retrocalcaneal bursa (RCB). All US scans were conducted by two physicians (Chi-Qiu Wu and Lei Zhang) with more than 5 years of musculoskeletal US experience each.
US examinations of the SPB and DIPB were performed with the subjects sitting with both knees flexed at 30°.[9 (link)] The probe was placed at the knees longitudinally above the patella, and the SPB could be detected between the quadriceps tendon and femur with two fat pads surrounding it. While the probe was placed longitudinally below the patella, the DIPB could be found between the patellar tendon and tibia. The PB and RCB were scanned in a prone position with the legs keeping straight. The PB could be observed between the semimembranosus muscle and the medial head of the gastrocnemius muscle when the probe was placed horizontally below the popliteal fossa. The RCB could be detected longitudinally in the rear between the Achilles tendon and the posterior–superior corner of the calcaneus.

Gao Y.Y., Wu C.Q., Liu W.X., Zhang L, & Li C.L. (2016). High-resolution Sonographic Measurements of Lower Extremity Bursae in Chinese Healthy Young Men. Chinese Medical Journal, 129(3), 309-312.

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Ultrasound Assessment of Hand Joints

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An ultrasound scan of both hands was performed with a General Electric (GE, Chicago, Illinois, USA) Logiq E10 with a GE ML 6–15 probe. Greyscale pictures were obtained of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), distal interphalangeal (DIP) and first carpometacarpal (CMC) joints in the longitudinal plane from the dorsal side with the joint centered. For each patient, 30 ultrasound pictures (10 MCP, 10 PIP, 8 DIP and 2 CMC) were manually segmented into bone, synovium and osteophytes using the open source software CVAT (17 ). All images and segmentations were then assessed for quality by a rheumatologist, and the pictures were subsequently scored for osteophyte severity from 0 to 3 according to the EOGS (8 ). The rheumatologist assessing for quality has over 10 years’ experience in musculoskeletal ultrasound, has published in the field and is a frequent teacher and organizer of musculoskeletal ultrasound courses.
The total number of images obtained for AI development is shown in Table 1.

Overgaard B.S., Christensen A.B., Terslev L., Savarimuthu T.R, & Just S.A. (2024). Artificial intelligence model for segmentation and severity scoring of osteophytes in hand osteoarthritis on ultrasound images. Frontiers in Medicine, 11, 1297088.

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Ultrasound and MRI Assessment of Tumor

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The animals were anesthetized by intraperitoneal injection of 3% sodium pentobarbital (1 ml/100 g). The ultrasound treatment of the tumor was assessed using GE Vivid E7 ultrasonic diagnostic equipment, ML6-15 probe, frequency 15 MHz, imaging depth 2 cm. MRI was performed on a 3.0 T MRI scanner (GE Discovery MR 750, 3.0 T). In order to obtain the maximum signal-to-noise ratio image, the orthogonal knee joint coil was adopted. The scan sequence used time-of-flight (TOF) 3D fast gradient echo sequence. Parameters were as follows: TR/TE = 22/5.7 ms, excitation angle = 15°, FOV = 8 cm × 6 cm, matrix = 512 × 512, layer thickness = 1.2 mm. Contrast to noise ratio (CNR) was used to measure and analyze the video intensity before and after contrast. CNR = ROI signal intensity-signal intensity of surrounding muscle tissue/background noise signal intensity.

Fu D., Huang X., Lv Z., Zhang Y., Chen M., Zhang W, & Su D. (2022). Ultrasound and magnetic resonance imaging of cyclic arginine glycine aspartic acid-gadopentetic acid-polylactic acid in human breast cancer by targeting αvβ3 in xenograft-bearing nude mice. Bioengineered, 13(3), 7105-7117.

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Ultrasound Detection of Post-Surgical Hematoma

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A dedicated radiologist assessed patients’ surgical sites for the detection of post-surgical haematoma using the US technique. The radiologist’s evaluated the surgical site for haematoma at the bedside based on a semi-quantitative estimation of the volume on the third postoperative day and repeated it on the fifth postoperative day. The surgical site was examined using a LOGIQ S8 US system and a ML6-15 probe (GE Healthcare, Chalfont St Giles, United Kingdom). The same operator carried out the US evaluation of the hip surgical site, scanning hip anteriorly and laterally both in longitudinal and transverse planes, emphasising the region of surgical scar. The haematoma was defined as an echogenic area within the surgical area, and the maximum depth of the thickness was recorded in millimetres (mm); we did not record haematoma’s length because it is not more relevant than a collection limited to a few cm cephalo-caudal. The clinical evaluation was made blind by two independent senior orthopaedic surgeons. Typical signs were fullness and pain, bluish or purple discoloration of the underlying skin, and bleeding. The clinical agreement on the absence of haematoma, disagreement about haematoma’s presence, and agreement on haematoma’s presence was defined after two senior surgeons’ independent assessment.

Ruggiero C., Pioli G., Petruccelli R., Baroni M., Prampolini R., Pignedoli P., Antinolfi P., Rinonapoli G., Cappa M., Boccardi V., Bendini C., Mecocci P., Caraffa A, & Sabbetta E. (2023). The correlates of post-surgical haematoma in older adults with proximal femoral fractures. Aging Clinical and Experimental Research, 35(4), 867-875.

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Automated Ultrasound Scoring of Rheumatoid Arthritis

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ARTHUR is a system developed first as a University of Southern Denmark (SDU) and Odense University Hospital (OUH) project, then developed into a company called ROPCA Holding (Odense, Denmark). The version of ARTHUR used in this trial (Fig. 1B) is composed of; (1) A table with a touch screen where the hands are placed. (2) A camera to detect the individual joints of the hand. (3) A clinically approved (IEC 60601-1 and IEC 62304) robotic arm (Model: LBR Med 7 R800, Kuka Robotics, Augsburg, Germany). ( 4) With an attached ML-6-15 probe from GE (GE Healthcare, Chicago, USA) connected to a GE Logiq 10 scanner to record ultrasound images of the joints (Fig. 1E-H). ( 5) The system used a CE approved AI system, DIANA, to score RA disease activity on Doppler ultrasound images. ( 6) Through audio and instructions on the touch screen, the patient is guided through the process. (Fig. 1C). The patient is instructed how to apply and remove ultrasound gel in this process, one hand at a time (Fig. 1D). All examinations were observed for any safety issues.

Frederiksen B.A., Schousboe M., Terslev L., Iversen N., Lindegaard H., Savarimuthu T.R, & Just S.A. (2022). Ultrasound joint examination by an automated system versus by a rheumatologist: from a patient perspective. Advances in rheumatology (London, England), 62(1).

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Ultrasound Assessment of Hands and Wrists

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The rheumatologist used a GE Logiq 10 ultrasound scanner with an ML-6-15 probe from GE (GE Healthcare, Chicago, USA) for the ultrasound assessment of hands and wrists bilateral. The patients were seated with their hands resting on an examination bed (Fig. 1A). The ultrasound examination followed the EULAR guidelines [21] .

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