Ultrasonography

Most Cited Articles

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Most-cited articles are from the articles published during the last two years (2021 ~ ).

Review Article
	Radiofrequency ablation of benign thyroid nodules: recommendations from the Asian Conference on Tumor Ablation Task Force Eun Ju Ha, Jung Hwan Baek, Ying Che, Yi-Hong Chou, Nobuhiro Fukunari, Ji-hoon Kim, Wei-Che Lin, Le Thi My, Dong Gyu Na, Lawrence Han Hwee Quek, Ming-Hsun Wu, Koichiro Yamakado, Jianhua Zhou Ultrasonography. 2021;40(1):75-82. Published online September 8, 2020 DOI: https://doi.org/10.14366/usg.20112 Cited By 31

Original Articles
	Clinical practice guidelines for radiofrequency ablation of benign thyroid nodules: a systematic review Minkyoung Lee, Jung Hwan Baek, Chong Hyun Suh, Sae Rom Chung, Young Jun Choi, Jeong Hyun Lee, Eun Ju Ha, Dong Gyu Na Ultrasonography. 2021;40(2):256-264. Published online June 8, 2020 DOI: https://doi.org/10.14366/usg.20015 Cited By 26


	Quantitative ultrasound radiofrequency data analysis for the assessment of hepatic steatosis using the controlled attenuation parameter as a reference standard Sun Kyung Jeon, Ijin Joo, So Yeon Kim, Jong Keon Jang, Juil Park, Hee Sun Park, Eun Sun Lee, Jeong Min Lee Ultrasonography. 2021;40(1):136-146. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.20042 Cited By 23


	A pilot clinical study of low-intensity transcranial focused ultrasound in Alzheimer’s disease Hyeonseok Jeong, Jooyeon Jamie Im, Jong-Sik Park, Seung-Hee Na, Wonhye Lee, Seung-Schik Yoo, In-Uk Song, Yong-An Chung Ultrasonography. 2021;40(4):512-519. Published online January 16, 2021 DOI: https://doi.org/10.14366/usg.20138 Cited By 22

Special Review of Artifical Intelligence (Part 1)
	Artificial intelligence in musculoskeletal ultrasound imaging YiRang Shin, Jaemoon Yang, Young Han Lee, Sungjun Kim Ultrasonography. 2021;40(1):30-44. Published online September 6, 2020 DOI: https://doi.org/10.14366/usg.20080 Cited By 21

Special Review of Artificial Intelligence (part 2)
	Artificial intelligence in breast ultrasonography Jaeil Kim, Hye Jung Kim, Chanho Kim, Won Hwa Kim Ultrasonography. 2021;40(2):183-190. Published online November 12, 2020 DOI: https://doi.org/10.14366/usg.20117 Cited By 21

Original Article
	Sonazoid-enhanced ultrasonography: comparison with CT/MRI Liver Imaging Reporting and Data System in patients with suspected hepatocellular carcinoma Jeong Ah Hwang, Woo Kyoung Jeong, Ji Hye Min, Yeun-Yoon Kim, Nam Hun Heo, Hyo Keun Lim Ultrasonography. 2021;40(4):486-498. Published online January 15, 2021 DOI: https://doi.org/10.14366/usg.20120 Cited By 21

Special Reviews of Artifical Intelligence (Part 1)
	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 20


	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 19

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 17


	Comparison of the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System for thyroid malignancy with three international guidelines Eun Ju Ha, Jung Hee Shin, Dong Gyu Na, So Lyung Jung, Young Hen Lee, Wooyul Paik, Min Ji Hong, Yeo Koon Kim, Chang Yoon Lee Ultrasonography. 2021;40(4):594-601. Published online April 5, 2021 DOI: https://doi.org/10.14366/usg.21056 Cited By 16


	Reproducibility of shear wave elastography among operators, machines, and probes in an elasticity phantom Abdulaziz Ibrahim Alrashed, Abdulrahman M. Alfuraih Ultrasonography. 2021;40(1):158-166. Published online May 9, 2020 DOI: https://doi.org/10.14366/usg.20011 Cited By 15

Meta-Analysis
	Accuracy of the ultrasound attenuation coefficient for the evaluation of hepatic steatosis: a systematic review and meta-analysis of prospective studies Jong Keon Jang, Sang Hyun Choi, Ji Sung Lee, So Yeon Kim, Seung Soo Lee, Kyung Won Kim Ultrasonography. 2022;41(1):83-92. Published online June 1, 2021 DOI: https://doi.org/10.14366/usg.21076 Cited By 15

Original Article
	A comparison of the diagnostic performance of the O-RADS, RMI4, IOTA LR2, and IOTA SR systems by senior and junior doctors Yuyang Guo, Baihua Zhao, Shan Zhou, Lieming Wen, Jieyu Liu, Yaqian Fu, Fang Xu, Minghui Liu Ultrasonography. 2022;41(3):511-518. Published online January 31, 2022 DOI: https://doi.org/10.14366/usg.21237 Cited By 14

Review Article
	Obstetric ultrasound: where are we and where are we going? Jacques S Abramowicz Ultrasonography. 2021;40(1):57-74. Published online August 25, 2020 DOI: https://doi.org/10.14366/usg.20088 Cited By 13

Original Article
	Reproducibility and diagnostic performance of the vascular index of superb microvascular imaging in real-time breast ultrasonography for evaluating breast masses Eun Ji Lee, Yun-Woo Chang, Eunsun Oh, Jiyoung Hwang, Hyun-joo Kim, Seong Sook Hong Ultrasonography. 2021;40(3):398-406. Published online November 27, 2020 DOI: https://doi.org/10.14366/usg.20153 Cited By 13

Meta-Analysis
	Combination of shear-wave elastography with ultrasonography for detection of breast cancer and reduction of unnecessary biopsies: a systematic review and meta-analysis Sun-young Park, Bong Joo Kang Ultrasonography. 2021;40(3):318-332. Published online December 24, 2020 DOI: https://doi.org/10.14366/usg.20058 Cited By 12

Original Article
	What shear wave elastography parameter best differentiates breast cancer and predicts its histologic aggressiveness? Hyunjin Kim, Jeongmin Lee, Bong Joo Kang, Sung Hun Kim Ultrasonography. 2021;40(2):265-273. Published online June 15, 2020 DOI: https://doi.org/10.14366/usg.20007 Cited By 11

Review Article
	Current status of image-based surveillance in hepatocellular carcinoma Dong Hwan Kim, Joon-Il Choi Ultrasonography. 2021;40(1):45-56. Published online July 25, 2020 DOI: https://doi.org/10.14366/usg.20067 Cited By 11

Original Article
	Key imaging features for differentiating cystic biliary atresia from choledochal cyst: prenatal ultrasonography and postnatal ultrasonography and MRI Hyun Joo Shin, Haesung Yoon, Seok Joo Han, Kyong Ihn, Hong Koh, Ja-Young Kwon, Mi-Jung Lee Ultrasonography. 2021;40(2):301-311. Published online July 31, 2020 DOI: https://doi.org/10.14366/usg.20061 Cited By 11

3.1

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