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Aplio 500

Manufactured by Philips

The Aplio 500 is a digital ultrasound system designed for general diagnostic imaging. It features advanced imaging capabilities and is suitable for a variety of clinical applications.

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7 protocols using aplio 500

1

Gallbladder Ultrasound for Biliary Atresia

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A total of 179 cases were randomly selected from 597 BA children, with each case containing three images, resulting in a total of 537 gallbladder ultrasound images. A total of 196 cases were randomly selected from 1,032 non-BA children, resulting in a total of 588 gallbladder ultrasound images. All selected cases were used as the training set. The remaining cases were used as the test set (a total of 3,762 images). A radiologist with 5 years of experience in pediatric ultrasound used LabelMe image annotation software to manually draw a label that included the entire gallbladder on the training set data, which was checked by another radiologist with more than 15 years of experience in pediatric ultrasound to ensure that the labels were correct (Figure 1). The training set contained 621 Mindray Resona 7S images, 414 Toshiba Aplio 500 images, and 90 Philips Epiq 7C images. The test set contains 2,775 images of Mindray Resona 7S, 327 images of Toshiba Aplio 500, 42 images of Philips Epiq 7C, 582 images of Siemens Sequoia, and 36 images of SuperSonic Aixplorer.
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2

Gallbladder Ultrasound Imaging Database

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Different ultrasonic diagnostic systems and different high-frequency ultrasonic probes were used to obtain the largest long-axis ultrasonic images of the gallbladder of all subjects, with each case containing three images, including 3,096 images of the non-BA group and 1,791 images of the BA group, for a total of 4,887 images. The ultrasonic diagnostic systems (probe) included Mindray Resona 7S (L14-5WU, L14-3WU, and L9-3U), Toshiba Aplio 500 (14 L5, 12 L5), Philips Epiq 7C (L12-3), Siemens Sequoia (18 L6 and 10 L4), and SuperSonic Aixplorer (SL10-2). Ultrasound images were directly exported from the ultrasonic diagnostic systems in JPG, TIF, BMP, or DICOM format. The image inclusion criteria were the following: (1) linear array probe, frequency > 8 MHz, rectangular imaging, scanning depth 4–6 cm and (2) clear image, resolution ≥300 × 300 dpi; (3) no markers or scales in the image. The image exclusion criteria were the following: (1) convex array probe or frequency < 7 MHz; scanning depth > 6 cm or < 4 cm; (2) blurred image; (3) the absence of gallbladder; and (4) unclear disease diagnosis.
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3

Ultrasound Characterization of Gastric Lesions

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Color doppler ultrasonic diagnostic apparatus from Toshiba Aplio 500, Supersonic Aixplorer, and PHILIPS EPIQ5 was used. Transabdominal ultrasound was performed using a convex array probe and a line array probe. We conducted a retrospective review of the image data and selected two-dimensional (2D) ultrasound images in digital imaging and communications in medicine (DICOM) format that scanned by convex array probe, which clearly showed the largest cross-section of each lesion. The tumor location(gastric or extra-gastric),internal echo (hypoecho or isoecho), echo homogeneity (homogeneous or inhomogeneous), boundary (clear or unclear), shape (regular or irregular), blood flow signals of the lesion (according to the Alder blood flow classification, where grades 0 and 1 were merged as low blood supply, and grades 2 and 3 were merged as multiple blood supply), presence of necrotic cystic degeneration (necrotic areas were diagnosed from sharply demarcated anechoic areas), and maximum lesion diameter (≤5.0 cm or >5.0 cm) were recorded in detail.
In this study, the tumor outline at the largest cross-sectional area was manually drawn to indicate the region of interest (ROI) along the tumor margin using a free open-source software package (ITK-SNAP, version 3.8.0, University of Pennsylvania, Philadelphia, USA).
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4

Breast Lesion Ultrasound Imaging Analysis

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Different types of ultrasound diagnostic equipment (LOGIQ E9, Siemens Acuson S2000, Toshiba Aplio 500 and Philips EPIQ 5) were used at the above 2 hospitals, employing a high-frequency linear probe with radial, transverse, and longitudinal scans on both breasts. Ultrasound images were exported with the format of digital imaging and communication in medicine from the picture archiving and communication system database.
In this study, sonographer 1 was responsible for collecting the ultrasound image information of the patients. Preprocessing was carried out using resampling technique, resampling all of the ultrasound images so that they were 1 mm × 1 mm × 1 mm to obviate the disturbances due to the nonuniform spatial resolution. Next, ITK-SNAP software (open source software; http://www.itk-snap.org) was employed to manually outline region of interest that covered the largest cross-sectional area of each breast lesion in the transverse plane. This was carried out independently by sonographer 2 (sonographer 1 from Hospital 2, with more than 5 years’ experience in ultrasonic diagnosis) not knowing a patient's histopathological grade result.
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5

Contrast-enhanced Ultrasound Imaging of Tumors

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Ultrasound instruments used were Toshiba Aplio 500, Philips IU Elite color Doppler ultrasound instrument (frequency 1.0–6.0 MHz), with convex array probe. The images with displayed through PDFI, SMI imaging software, and contrast software.
The patient exposed the abdomen with a supine or lateral position. Firstly, conventional two-dimensional ultrasound was performed to observe the location, size, and shape of the tumors from different angles and the maximum diameter of the tumors was measured. Then CDFI, PDFI, and monochrome SMI were conducted to observe the blood flow in the tumors. The gray-scale gain was 75–90 dB. The measuring scales of CDFI and SMI were 9.8–19.6 cm/s and 1.5–2.4 cm/s, respectively.
A section which clearly showed both tumors and the surrounding kidney tissue was chosen for contrast-enhanced ultrasound (CEUS). Sono Vue solution (1.2 mL, dissolved by 5 mL saline) was used as ultrasound contrast agent. The whole procedure continued for more than 2 minutes, and the relative images were recorded. The imaging parameters of CEUS were mechanical index (MI) < 0.05, and dynamic range 40–50 dB.
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6

Comparative Ultrasound Imaging Techniques

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The study consisted of three arms: A, B, and C (Figure 1). Arm A tested four ultrasound devices: the Siemens Acuson S3000, Toshiba Aplio 500 (software version 5.0), Philips Epiq 7, and GE Logiq E9. We chose the Siemens S3000 ultrasound scanner as the reference device because the largest number of studies exist for this ultrasound scanner or its predecessor, the Siemens S2000[27 (link)-29 (link)]. The Siemens S3000 and Philips Epiq 7 devices use p-SWE technology, and the Aplio 500 Toshiba and GE Logiq E9 devices use 2D-SWE technology. Study arm A showed that the Toshiba Aplio 500 device (software version 5.0) generated strongly deviating results compared to the other ultrasound devices tested. Due to the divergent results between Toshiba Aplio 500 (version 5.0) and the other tested devices, especially the reference device, the Toshiba Aplio 500 was tested using software version 6.0 against the Siemens Acuson S3000 in study arm B. In study arm C, the results of study arms A and B were compared to investigate the differences between the two different software versions of the Toshiba Aplio 500. Study arm A was conducted from May 2015 to September 2015 and study arm B from November 2016 to April 2017.
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7

Ultrasound Imaging for Thyroid Tumor Characterization

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GE Logiq E8, Toshiba Aplio 500, and Philips IU22 ultrasound diagnostic systems and high-frequency linear array probes (5–12 MHz) were used to assess the number, size, echogenicity, border, margin, shape, microcalcification, blood flow, and capsular invasion of the tumor. If the patient had multiple lesions, the largest one was selected as the observation object. The tumors were divided into three groups: the largest diameter <10 mm, 10–20 mm, and >20 mm. The blood flow of the tumor was graded by the Adler semiquantitative method,29 (link) according to the following criteria: Grade I: no obvious blood flow, indicating the absence of obvious blood flow signal inside the tumor; Grade II: small amount of blood flow, showing 1–2 punctate or short rod blood flow signals in the tumor; Grade III: moderate blood flow, showing 3–4 punctate blood flow signals or one long strip of blood flow signal in the tumor; and Grade IV: abundant blood flow, showing >5 punctate blood flow signals, >2 long strip blood flow signals, reticular blood flow signals, or dendritic blood flow signals. At ultrasound, when it was observed that the tumor was in contact with >25% of the adjacent thyroid capsule, or the thyroid capsule was disrupted by the tumor, or the soft tissue around the thyroid gland was invaded, it was defined as capsular invasion.6 (link),30 (link),31 (link)
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