Ge voluson e8

Manufactured by GE Healthcare

Sourced in United States, Austria

The GE Voluson E8 is a high-performance ultrasound system designed for women's healthcare applications. It offers advanced imaging capabilities and features to support diagnostic procedures.

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Lab products found in correlation

Ge voluson e10, by GE Healthcare (2 mentions) Iu elite, by Philips (2 mentions) Resona r9, by Mindray (2 mentions) Vivid 9, by GE Healthcare (1 mentions) Electro chemiluminescence immunoassay, by Beckman Coulter (1 mentions) Ge voluson e6, by GE Healthcare (1 mentions) Epiq 7, by Philips (1 mentions) Ge logic e9, by GE Healthcare (1 mentions) Aplio 500, by Toshiba (1 mentions) Epiq 5, by Philips (1 mentions) Ric6 12 d, by GE Healthcare (1 mentions)

14 protocols using ge voluson e8

Ultrasound and Doppler Evaluation of Fetal Growth

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Ultrasound and Doppler evaluations were performed using General Electric (GE) Vivid 9 or GE Voluson E8 (GE Healthcare, Milwaukee, WI, USA) ultrasound equipment with 2- to 5-MHz or 4- to 6-MHz probes. In normally grown fetuses, gestational age was confirmed prior to 11 weeks by the crown-rump length measurement; no complications were documented during pregnancy; delivery occurred between 37 and 42 weeks of gestation; and birth weight was normal^{83 (link)}. Estimated fetal weight was calculated using the Hadlock formula^{84 (link)}. For growth-restricted fetuses, gestational age was estimated in accordance with the earliest ultrasound scan.
Doppler evaluation was performed in the umbilical artery, middle cerebral artery, and ductus venosus^{85 (link)}. Recordings were obtained in the absence of maternal or fetal movement with an angle of insonation as close as possible to 0° and with a high-pass wall filter of 60 MHz. Three to five consecutive and regular waveforms were obtained and the pulsatility index (PI) was calculated^{86 (link)}. A PI value ≥2 SD for gestational age was considered abnormal^{87 (link)}.

Tang X., Hernandez-Andrade E., Ahn H., Garcia M., Saker H., Korzeniewski S.J., Tarca A.L., Yeo L., Hassan S.S, & Romero R. (2015). Intermediate diastolic velocity as a parameter of cardiac dysfunction in growth-restricted fetuses. Fetal diagnosis and therapy, 39(1), 28-39.

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Midluteal Uterine Artery Blood Flow Evaluation

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An ultrasound examination of uterine artery blood flow was performed using a 2.9-MHz (range, 2–5 MHz) transvaginal microconvex probe (GE Voluson E8; GE Healthcare Austria GmbH & Co OG, Zipf, Austria). The examiners were blinded to the history of all subjects.
Ultrasonic Doppler assessment was performed during the midluteal phase at 7 to 10 days after women’s ovulation, which was confirmed by follicular monitoring through an ultrasound examination. Serum progesterone levels were measured during the midluteal phase with an electrochemiluminescence immunoassay (Beckman Coulter, Tokyo, Japan).

Zhang K., Wang E., Li Y., Xu H., Zhang J., Wang X, & Shu J. (2020). Role of low-molecular-weight heparin in altering uterine artery blood flow in recurrent spontaneous abortion: a prospective study. The Journal of International Medical Research, 48(8), 0300060520945558.

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Fetal Ultrasound Screening with GE Voluson E8

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The GE Voluson E8 color Doppler ultrasound system (GE Healthcare, Chicago, IL, USA) was selected and operated with C-5-D and RA84-8-D probes. The pregnant woman was placed in the supine position and the fetus was screened according to routine early pregnancy ultrasound.

Ji X., Han Z., Wu Y, & Zhang S. (2022). Study on normal reference value of fetal facial profile markers during the first trimester of pregnancy. Translational Pediatrics, 11(1), 99-107.

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Standardized Uterine Artery Doppler Measurements

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UtA Doppler, including calculation of the left and right UtA-PI and -RI, was measured by trained sonographers using GE Voluson-E6 or GE Voluson-E8 ultrasound devices (GE Healthcare, Zipf, Austria) according to standardized protocols [14 (link)]. The ultrasonographers placed the probe on the lower quadrant of the abdomen after identification of the uterine artery at the intersection with the external iliac artery employing color Doppler. At insonation angles of < 30°, pulsed-wave Doppler was used to obtaining at least three similar flow velocity waveforms for each side. Measurements for both right and left UtA PI/RI were calculated. Intra- and inter-observer repeatability was examined by 95% limits of agreement (Bland–Altman method) [15 (link)] using the right UtA-PI data of 50 randomly selected pregnant women without preeclampsia. The result showed that the UtA Doppler measurement had good repeatability (Figure S1).

Wu J.N., Li M.Q., Xie F, & Zhang B. (2021). Gestational week-specific of uterine artery Doppler indices in predicting preeclampsia: a hospital-based retrospective cohort study. BMC Pregnancy and Childbirth, 21, 843.

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Transvaginal Ultrasound Evaluation of Ovarian Masses

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All participants underwent transvaginal ultrasonography whenever possible. If a mass was too large to be fully displayed on transvaginal ultrasonography, it could be supplemented with a transabdominal US. Transrectal or transabdominal ultrasonography could be performed if a patient was unsuitable for transvaginal ultrasonography. The following US equipment was used in the study: GE Voluson E10, GE Voluson E8, GE Healthcare (GE Medical Systems, Zipf, Austria), and Mindray Resona R9 (Mindray Bio-Medical Electronics Co., Ltd., China), with RIC5-9-D, V11-3HU transvaginal US probes, and C1-5-D and SC6-1U abdominal US probes. Recorded US semantic features included: maximum diameter of the lesion (≤ 50, 50–100, and ≥ 100 mm), characteristics of the mass (cystic, cystic-solid mixed, solid), colour Doppler score (1, no blood flow signal; 2, low blood flow signal; 3, moderate blood flow signal; 4, rich blood flow signal), laterality of the mass (unilateral or bilateral), and ascites (present or absent). If a patient had more than one ovarian mass, we selected the mass with the most complex morphology or the largest for further assessment [12 (link), 29 (link), 30 ].

Du Y., Guo W., Xiao Y., Chen H., Yao J, & Wu J. (2024). Ultrasound-based deep learning radiomics model for differentiating benign, borderline, and malignant ovarian tumours: a multi-class classification exploratory study. BMC Medical Imaging, 24, 89.

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Ultrasound Characterization of Benign and Malignant Breast Lesions

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The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). The study was approved by the ethics committee of Pudong New Area People’s Hospital (No. 2022-131), and individual consent for this retrospective analysis was waived. The images were consecutively collected between 1 August 2020 and 1 December 2021. A total of 557 benign and 506 malignant BLs from Pudong New Area People’s Hospital were screened, and 1,063 patients were enrolled in this work. For patients with multiple BLs, only the most suspicious or the largest diameter BL was selected. The exclusion criteria and enrollment process are shown in Figure 1. The patients were aged from 29 to 78 years. The size of each BL was measured as the largest diameter of each BL. All US images were obtained from Siemens S3000 (Siemens Healthineers, Erlangen, Germany), Philips Epiq 7 (Philips Healthcare, Amsterdam, The Netherlands), Philips IU Elite (Philips Healthcare), GE Voluson E8 (GE Medical Systems, Chicago, IL, USA), and Toshiba Aplio 400 (Toshiba, Tokyo, Japan).
The US image data were reviewed by 2 radiologists with at least 5 years of experience in interpreting breast US images by consensus. The radiologists were blinded to the pathology results. In cases of disagreement, a senior radiologist with more than 20 years of experience in breast US imaging was consulted.

Zhu Y.C., Sheng J.G., Deng S.H., Jiang Q, & Guo J. (2022). A deep learning-based diagnostic pattern for ultrasound breast imaging: can it reduce unnecessary biopsy?. Gland Surgery, 11(9), 1529-1537.

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Comprehensive 3D Uterine Ultrasound Assessment

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We used three-dimensional ultrasound instruments (GE Voluson E8 and E10, GE Healthcare, Tiefenbach, Zipf, Austria). All instruments were equipped with high frequency intracavitary probe (RIC5-9-D, 5–9 MHz). All patients underwent transvaginal (or transrectal) ultrasound scan in a lithotomy position with an empty bladder, combined with transabdominal scan if necessary.
Every assessment of the uterus should start with identification of the bladder and the cervix. The position of the uterus was noted and measurements taken. The uterus was scanned in the sagittal plane from cornu to cornu and in the (oblique) transverse plane from the cervix to the fundus. Having established an overview of the whole uterus, the image was magnified to contain only the uterine corpus. The magnification should be as large as possible, focusing on the area of interest (13 (link)). The probes collected grayscale images and color Doppler ultrasound or energy Doppler ultrasound images of the uterus and bilateral appendages from left to right in multiple sections, and the images or dynamic videos were stored in the hard disk of the machines or in the ultrasonic workstation.

Lin D., Zhao L., Zhu Y., Huang Y., Yuan K., Liu W., Li S., Guo X, & Hao Y. (2021). Combination IETA Ultrasonographic Characteristics Simple Scoring Method With Tumor Biomarkers Effectively Improves the Differentiation Ability of Benign and Malignant Lesions in Endometrium and Uterine Cavity. Frontiers in Oncology, 11, 605847.

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Ultrasound Imaging Instruments and Settings

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The DDH-SUSC collaboration group used GE Voluson E8, GE Logic E9 (General Electric Company, Boston, MA), Philips IU 22, Philips IU Elite, Philips CX50, Philips Epiq5 (Royal Philips, Amsterdam, Netherlands), Mindray DC-7 (Mindray Medical International, Shenzhen, China), ESaote Mylab (ESaote Company, Genoa, Italy), Toshiba Aplio500, Toshiba AlokaF75 (Toshiba Corporation, Tokyo, Japan), Hitachi Vision Preirus (Hitachi Company, Tokyo, Japan), and other ultrasonic instruments with a high-frequency (6-12 MHz) linear array probe for ultrasound experiments.

Xu N., Xia B., Tao H., Sun K., Liu Q., Chen W., Wang D., Gao H., Guo Y., Liu Y., Gao J., Teng J., Li T., He Q, & Wu Z. (2022). Epidemiological investigation and ultrasonic diagnosis of developmental dysplasia of the hip in Chinese infants: A large multi-center cohort study. Medicine, 101(2), e28320.

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Placental Segmentation from Ultrasound Volumes

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This study was performed in accordance with the Declaration of Helsinki.
This human study was approved by the University of Pennsylvania Institutional
Review Board - approval: 811129. All adult participants provided written
informed consent to participate in this study.
Ultrasound volume datasets were obtained at 11–14 weeks’
gestation using GE Voluson E8 (GE Healthcare, WI, USA) ultrasound machines. The
“max quality” setting was used during the acquisition of the
images, and sector width and sweep angle were increased to ensure inclusion of
the entire placenta within the 3D sweep. The resulting raw images are in various
dimensions, ranging from 245×265×173 to 714×726×488
voxels. The mean voxel dimensions were 0.49±0.04 mm, uniform in all 3
axes.
In addition to the N=442 SGA study set, we use two more datasets for
developing the segmentation pipeline, with the placenta manually labeled as
ground truth. The CNNs are trained on an N=99 training set, under a 4-fold
cross-validation scheme for tuning the models. After training and tuning is
complete, we use an N=25 test set to measure the segmentation performance. The
N=442 SGA study set, the N=99 train set, and the N=25 test set are all
independent from each other.

Schwartz N., Oguz I., Wang J., Pouch A., Yushkevich N., Parameshwaran S., Gee J., Yushkevich P, & Oguz B. (2021). Fully automated placental volume quantification from 3DUS for prediction of small-for-gestational-age infants. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 41(6), 1509-1524.

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Ovarian Tumor Ultrasonography Characterization

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All participants underwent transvaginal ultrasonography whenever feasible. Transabdominal ultrasonography was performed in cases where the tumour size prevented complete visualisation using transvaginal ultrasonography. Transrectal or transabdominal ultrasonography was performed if the patient was unsuitable for a transvaginal ultrasound examination. Some ultrasound equipment, such as GE Voluson E10, GE Voluson E8, GE Healthcare (GE Medical Systems, Zipf, Austria), and Mindray Resona R9, was used for data collection. The transducers used in this study included the RIC5-9-D and V11-3HU transvaginal probes and the C1-5-D and SC6-1U transabdominal probes. Various ultrasound semantic features were recorded, such as the maximum diameter of the lesion and its classification (≤ 50 mm, 50–100 mm, and ≥ 100 mm), the characteristics of the mass (cystic, mixed cystic and solid, and solid), the colour flow score (1, no flow signal; 2, small amount of blood flow signal; 3, moderate blood flow signal; and 4, enriched blood flow signals), the side of the lesion (unilateral or bilateral), and the presence or absence of ascites. The mass with the most complex morphological structure or the largest volume was selected when multiple ovarian-adnexal masses were present [18 (link), 37 (link), 43 (link)].

Du Y., Xiao Y., Guo W., Yao J., Lan T., Li S., Wen H., Zhu W., He G., Zheng H, & Chen H. (2024). Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours. BioMedical Engineering OnLine, 23, 41.

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