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Most Cited Articles
> Browse Articles > Most Cited Articles
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 23
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 20
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 19
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 17
Special Review 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 16
Original Article
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 16
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 14
Original Articles
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 13
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 12
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 11
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 11
Special Review 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 11
Original Articles
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 11
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 10
Editorial
Artificial intelligence for ultrasonography: unique opportunities and challenges
Seong Ho Park
Ultrasonography.
2021;40(1):3-6. Published online November 3, 2020 DOI:
https://doi.org/10.14366/usg.20078
Cited By 10
Special Review of Artificial Intelligence (part 2)
Current status of deep learning applications in abdominal ultrasonography
Kyoung Doo Song
Ultrasonography.
2021;40(2):177-182. Published online September 2, 2020 DOI:
https://doi.org/10.14366/usg.20085
Cited By 9
Original Article
Liver stiffness quantification in biopsy-proven nonalcoholic fatty liver disease patients using shear wave elastography in comparison with transient elastography
Adele Taibbi, Salvatore Petta, Domenica Matranga, Giovanni Caruana, Roberto Cannella, Gabriele Busè, Vito Di Marco, Massimo Midiri, Tommaso Vincenzo Bartolotta
Ultrasonography.
2021;40(3):407-416. Published online December 18, 2020 DOI:
https://doi.org/10.14366/usg.20147
Cited By 9
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 9
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 8
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 7
5.6
2021
CiteScore
77th percentile
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