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ULTRASONOGRAPHY: changes in submission and publication patterns 1 year after being listed in SCIE

Yu JS

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Artificial intelligence for ultrasonography: unique opportunities and challenges

Park SH

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Current status of image-based surveillance in hepatocellular carcinoma

Kim DH, Choi JI

Although the overall prognosis of patients with hepatocellular carcinoma (HCC) remains poor, curative treatment may improve the survival of patients diagnosed at an early stage through surveillance. Accordingly, ultrasonography (US)-based...
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Artificial intelligence in musculoskeletal ultrasound imaging

Shin Y, Yang J, Lee YH, Kim S

Ultrasonography (US) is noninvasive and offers real-time, low-cost, and portable imaging that facilitates the rapid and dynamic assessment of musculoskeletal components. Significant technological improvements have contributed to the increasing adoption...
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Obstetric ultrasound: where are we and where are we going?

Abramowicz JS

Diagnostic ultrasound (DUS) is, arguably, the most common technique used in obstetrical practice. From A mode, first described by Ian Donald for gynecology in the late 1950s, to B mode...
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Applications of machine learning and deep learning to thyroid imaging: where do we stand?

Ha EJ, Baek JH

Ultrasonography (US) is the primary diagnostic tool used to assess the risk of malignancy and to inform decision-making regarding the use of fine-needle aspiration (FNA) and postFNA management in patients...
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Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer

Lee SE, Sim Y, Kim S, Kim EK

Purpose: The purpose of this study was to evaluate the predictive performance of ultrasonography (US)-based radiomics for axillary lymph node metastasis and to compare it with that of a clinicopathologic...
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Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

Yi J, Kang HK, Kwon JH, Kim KS, Park MH, Seong YK, Kim DW, Ahn B, Ha K, Lee J, Hah Z, Bang WC

In this review of the most recent applications of deep learning to ultrasound imaging, the architectures of deep learning networks are briefly explained for the medical imaging applications of classification,...
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Malignancy risk of thyroid nodules with nonshadowing echogenic foci

Sohn YM, Na DG, Paik W, Gwon HY, Noh BJ

Purpose: This study was conducted to determine the malignancy risk and diagnostic value of various types of nonshadowing echogenic foci (NEF) in the risk stratification of thyroid nodules. Methods: A total...
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False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients

Kim Y, Rim J, Kim SM, Yun BL, Park SY, Ahn HS, Kim B, Jang M

Purpose: The purpose of this study was to measure the cancer detection rate of computer-aided detection (CAD) software in preoperative automated breast ultrasonography (ABUS) of breast cancer patients and to...
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Reproducibility of shear wave elastography among operators, machines, and probes in an elasticity phantom

Alrashed AI, Alfuraih AM

Purpose: This study was aimed to investigate the reproducibility of shear wave elastography (SWE) among operators, machines, and probes in a phantom, and to evaluate the effect of depth of...
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US LI-RADS visualization score: diagnostic outcome of ultrasound-guided focal hepatic lesion biopsy in patients at risk for hepatocellular carcinoma

Kang JH, Choi SH, Kim SY, Lee SJ, Shin YM, Won HJ, Kim PN

Purpose: This study investigated the diagnostic outcome of ultrasound (US)-guided focal hepatic lesion biopsy in patients at risk for hepatocellular carcinoma (HCC) and evaluated the US visualization score as a...
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Whirling technique for thyroid fine needle aspiration biopsy: a preliminary study of effectiveness and safety

Shin JH, Han SW, Lee HL, Ihn YK

Purpose: This study was aimed to compare thyroid fine needle aspiration biopsy (FNAB) techniques (conventional vs. whirling) in terms of cell harvesting ability ex vivo, the unsatisfactory rate and complication...
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Radiofrequency ablation of benign thyroid nodules: recommendations from the Asian Conference on Tumor Ablation Task Force

Ha EJ, Baek JH, Che Y, Chou YH, Fukunari N, Kim Jh, Lin WC, My LT, Na DG, Quek LHH, Wu MH, Yamakado K, Zhou J

Radiofrequency ablation (RFA) is a thermal ablation technique widely used for the management of benign thyroid nodules. To date, five academic societies in various countries have reported clinical practice guidelines,...
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Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard

Jeon SK, Joo I, Kim SY, Jang JK, Park J, Park HS, Lee ES, Lee JM

Purpose: This study was aimed to investigate the value of quantitative ultrasound (US) parameters from radiofrequency (RF) data analysis for assessing hepatic steatosis, using controlled attenuation parameter (CAP)-based steatosis grades...
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Impact of respiratory motion on liver stiffness measurements according to different shear wave elastography techniques and region of interest methods: a phantom study

Lee JH, Lee SM, Yoon JH, Kim MJ, Ha HI, Park SJ, Kim ES, Lee K, Lee JM

Purpose: This study quantified the impact of respiratory motion on liver stiffness measurements according to different shear wave elastography (SWE) techniques and region of interest (ROI) methods, using liver fibrosis...
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Test-retest repeatability of ultrasonographic shear wave elastography in a rat liver fibrosis model: toward a quantitative biomarker for preclinical trials

Shin Y, Huh J, Ham SJ, Cho YC, Choi Y, Woo DC, Lee J, Kim KW

Purpose: This study evaluated the test-retest repeatability and measurement variability of ultrasonographic shear wave elastography (SWE) for liver stiffness in a rat liver fibrosis model. Methods: In 31 Sprague-Dawley rats...
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