Ultrasonography

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Meta-Analysis
	Diagnostic performance of ultrasound risk stratification systems on thyroid nodules cytologically classified as indeterminate: a systematic review and meta-analysis Zhichao Xing, Yuxuan Qiu, Jingqiang Zhu, Anping Su, Wenshuang Wu Ultrasonography. 2023;42(4):518-531. Published online June 18, 2023 DOI: https://doi.org/10.14366/usg.23055

Original Articles
	Orientation of the ultrasound probe to identify the taller-than-wide sign of thyroid malignancy: a registry-based study with the Thyroid Imaging Network of Korea Min Ji Hong, Young Hen Lee, Ji-hoon Kim, Dong Gyu Na, Sung-Hye You, Ji Eun Shin, Seul Kee Kim, Kyung-Sook Yang; Korean Society of Thyroid Radiology Ultrasonography. 2023;42(1):111-120. Published online July 19, 2022 DOI: https://doi.org/10.14366/usg.22082 Cited By 1


	Combined use of shear-wave elastography and Doppler ultrasonography in equivocal fibroepithelial lesions of the breast diagnosed by core needle biopsy Ji Soo Choi, Eun Young Ko, Min-Ji Kim, Eun Sook Ko, Boo-Kyung Han Ultrasonography. 2023;42(1):31-40. Published online May 23, 2022 DOI: https://doi.org/10.14366/usg.22008


	Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level Si Eun Lee, Kyunghwa Han, Ji Hyun Youk, Jee Eun Lee, Ji-Young Hwang, Miribi Rho, Jiyoung Yoon, Eun-Kyung Kim, Jung Hyun Yoon Ultrasonography. 2022;41(4):718-727. Published online March 30, 2022 DOI: https://doi.org/10.14366/usg.22014


	Second-line Sonazoid-enhanced ultrasonography for Liver Imaging Reporting and Data System category 3 and 4 on gadoxetate-enhanced magnetic resonance imaging Yeun-Yoon Kim, Ji Hye Min, Jeong Ah Hwang, Woo Kyoung Jeong, Dong Hyun Sinn, Hyo Keun Lim Ultrasonography. 2022;41(3):519-529. Published online January 28, 2022 DOI: https://doi.org/10.14366/usg.21198 Cited By 2


	Differentiation of cystic biliary atresia and choledochal cysts using prenatal ultrasonography Lizhu Chen, Fujiao He, Kaihui Zeng, Bing Wang, Jingyu Li, Dan Zhao, Zeyu Yang, Weidong Ren Ultrasonography. 2022;41(1):140-149. Published online May 10, 2021 DOI: https://doi.org/10.14366/usg.21028 Cited By 5

Meta-Analysis
	Contrast-enhanced ultrasound Liver Imaging Reporting and Data System category M: a systematic review and meta-analysis Jaeseung Shin, Sunyoung Lee, Yeun-Yoon Kim, Yong Eun Chung, Jin-Young Choi, Mi-Suk Park Ultrasonography. 2022;41(1):74-82. Published online May 19, 2021 DOI: https://doi.org/10.14366/usg.21011 Cited By 3

Original Articles
	Diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System for thyroid malignancy according to nodule size: a comparison with five society guidelines Dong Gyu Na, Wooyul Paik, Jaehyung Cha, Hye Yun Gwon, Suh Young Kim, Roh-Eul Yoo Ultrasonography. 2021;40(4):474-485. Published online December 9, 2020 DOI: https://doi.org/10.14366/usg.20148 Cited By 14


	Assessing the diagnostic performance of thyroid biopsy with recommendations for appropriate interpretation Su Min Ha, Jung Hwan Baek, Dong Gyu Na, Chan-Kwon Jung, Chong Hyun Suh, Young Kee Shong, Tae Yon Sung, Dong Eun Song, Jeong Hyun Lee Ultrasonography. 2021;40(2):228-236. Published online May 19, 2020 DOI: https://doi.org/10.14366/usg.19099 Cited By 2


	US LI-RADS visualization score: diagnostic outcome of ultrasound-guided focal hepatic lesion biopsy in patients at risk for hepatocellular carcinoma Ji Hun Kang, Sang Hyun Choi, So Yeon Kim, So Jung Lee, Yong Moon Shin, Hyung Jin Won, Pyo-Nyun Kim Ultrasonography. 2021;40(1):167-175. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.19066 Cited By 6

Special Reviews of Artifical Intelligence (Part 1)
	Applications of machine learning and deep learning to thyroid imaging: where do we stand? Eun Ju Ha, Jung Hwan Baek Ultrasonography. 2021;40(1):23-29. Published online July 3, 2020 DOI: https://doi.org/10.14366/usg.20068 Cited By 17


	Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency Jonghyon Yi, Ho Kyung Kang, Jae-Hyun Kwon, Kang-Sik Kim, Moon Ho Park, Yeong Kyeong Seong, Dong Woo Kim, Byungeun Ahn, Kilsu Ha, Jinyong Lee, Zaegyoo Hah, Won-Chul Bang Ultrasonography. 2021;40(1):7-22. Published online September 14, 2020 DOI: https://doi.org/10.14366/usg.20102 Cited By 17

Review Article
	Prenatal diagnosis of transposition of the great arteries: an updated review Nathalie Jeanne Bravo-valenzuela, Alberto Borges Peixoto, Edward Araujo Júnior Ultrasonography. 2020;39(4):331-339. Published online June 8, 2020 DOI: https://doi.org/10.14366/usg.20055 Cited By 5

Original Article
	CT features of thyroid nodules with isolated macrocalcifications detected by ultrasonography Wooyul Paik, Dong Gyu Na, Hye Yun Gwon, Jinna Kim Ultrasonography. 2020;39(2):130-136. Published online October 23, 2019 DOI: https://doi.org/10.14366/usg.19045 Cited By 10

Review Article
	Contrast-enhanced ultrasound approach to the diagnosis of focal liver lesions: the importance of washout Hyun Kyung Yang, Peter N. Burns, Hyun-Jung Jang, Yuko Kono, Korosh Khalili, Stephanie R. Wilson, Tae Kyoung Kim Ultrasonography. 2019;38(4):289-301. Published online March 17, 2019 DOI: https://doi.org/10.14366/usg.19006 Cited By 31

Original Articles
	Reliable measurements of physiologic ankle syndesmosis widening using dynamic 3D ultrasonography: a preliminary study Seung Woo Cha, Kee Jeong Bae, Jee Won Chai, Jina Park, Yoon-Hee Choi, Dong Hyun Kim Ultrasonography. 2019;38(3):236-245. Published online November 14, 2018 DOI: https://doi.org/10.14366/usg.18056 Cited By 3


	Use of the ultrasound-based total malignancy score in the management of thyroid nodules Giovanni Guido Pompili, Silvia Tresoldi, Anna Ravelli, Alessandra Primolevo, Giovanni Di Leo, Gianpaolo Carrafiello Ultrasonography. 2018;37(4):315-322. Published online January 6, 2018 DOI: https://doi.org/10.14366/usg.17063 Cited By 5

Review Article
	Application of contrast-enhanced ultrasound for evaluation of thyroid nodules Jia Zhan, Hong Ding Ultrasonography. 2018;37(4):288-297. Published online July 3, 2018 DOI: https://doi.org/10.14366/usg.18019 Cited By 25

Original Article
	Application of computer-aided diagnosis in breast ultrasound interpretation: improvements in diagnostic performance according to reader experience Ji-Hye Choi, Bong Joo Kang, Ji Eun Baek, Hyun Sil Lee, Sung Hun Kim Ultrasonography. 2018;37(3):217-225. Published online August 14, 2017 DOI: https://doi.org/10.14366/usg.17046 Cited By 49

Pictorial Essay
	Diagnosing ectopic pregnancy in the emergency setting Robert Lee, Carolyn Dupuis, Byron Chen, Andrew Smith, Young H. Kim Ultrasonography. 2018;37(1):78-87. Published online August 19, 2017 DOI: https://doi.org/10.14366/usg.17044 Cited By 18

Original Articles
	Logistic LASSO regression for the diagnosis of breast cancer using clinical demographic data and the BI-RADS lexicon for ultrasonography Sun Mi Kim, Yongdai Kim, Kuhwan Jeong, Heeyeong Jeong, Jiyoung Kim Ultrasonography. 2018;37(1):36-42. Published online April 14, 2017 DOI: https://doi.org/10.14366/usg.16045 Cited By 59


	Prenatal diagnosis of aberrant right subclavian artery in an unselected population Mi Jin Song, Byoung Hee Han, Young-Hwa Kim, So Young Yoon, Yoo Mi Lee, Hye Su Jeon, Bo Kyung Park Ultrasonography. 2017;36(3):278-283. Published online February 20, 2017 DOI: https://doi.org/10.14366/usg.16046 Cited By 17


	Differential diagnosis between intraductal papillary mucinous neoplasm with an associated invasive carcinoma and pancreatic ductal adenocarcinoma on ultrasonography: the utility of echo intensity and contrast enhancement Masato Saito, Naoki Hirokawa, Yoko Usami, Masanori Someya, Koh-ichi Sakata Ultrasonography. 2017;36(3):260-269. Published online February 4, 2017 DOI: https://doi.org/10.14366/usg.16039 Cited By 2


	Which supplementary imaging modality should be used for breast ultrasonography? Comparison of the diagnostic performance of elastography and computer-aided diagnosis Si Eun Lee, Ji Eun Moon, Yun Ho Rho, Eun-Kyung Kim, Jung Hyun Yoon Ultrasonography. 2017;36(2):153-159. Published online September 24, 2016 DOI: https://doi.org/10.14366/usg.16033 Cited By 9


	Clinical application of S-Detect to breast masses on ultrasonography: a study evaluating the diagnostic performance and agreement with a dedicated breast radiologist Kiwook Kim, Mi Kyung Song, Eun-Kyung Kim, Jung Hyun Yoon Ultrasonography. 2017;36(1):3-9. Published online April 14, 2016 DOI: https://doi.org/10.14366/usg.16012 Cited By 52

Review Article
	Molecular subtypes and imaging phenotypes of breast cancer Nariya Cho Ultrasonography. 2016;35(4):281-288. Published online July 21, 2016 DOI: https://doi.org/10.14366/usg.16030 Cited By 73

Original Article
	Thyroid nodules with isolated macrocalcification: malignancy risk and diagnostic efficacy of fine-needle aspiration and core needle biopsy Dong Gyu Na, Dae Sik Kim, Soo Jin Kim, Jae Wook Ryoo, So Lyung Jung Ultrasonography. 2016;35(3):212-219. Published online December 27, 2015 DOI: https://doi.org/10.14366/usg.15074 Cited By 43

Case Report
	Non-puerperal mastitis masking pre-existing breast malignancy: importance of follow-up imaging Jin Kyung An, Jeong Joo Woo, Seung A Lee Ultrasonography. 2016;35(2):159-163. Published online June 11, 2015 DOI: https://doi.org/10.14366/usg.15024 Cited By 5

Original Articles
	Thyroid nodules with minimal cystic changes have a low risk of malignancy Dong Gyu Na, Ji-hoon Kim, Dae Sik Kim, Soo Jin Kim Ultrasonography. 2016;35(2):153-158. Published online December 15, 2015 DOI: https://doi.org/10.14366/usg.15070 Cited By 25


	Differentiation of benign and malignant thyroid nodules based on the proportion of sponge-like areas on ultrasonography: imaging-pathologic correlation Jee Young Kim, So Lyung Jung, Mee Kyung Kim, Tae-Jung Kim, Jae Young Byun Ultrasonography. 2015;34(4):304-311. Published online April 23, 2015 DOI: https://doi.org/10.14366/usg.15016 Cited By 17

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3.1

Visualizing the lymphatic vessels and flow with high-resolution ultrasonography and microvascular flow imaging. Ultrasonography. 2023;42:466-473