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Original Articles
Energy sustainability of breast ultrasound: comparison of automated and handheld ultrasound systems
Ji Young Lee, Jeong Taek Lee, Bo Kyoung Seo, Min Sun Bae, Yangin Moon, Hangseok Choi, Yeunggurl Yoon, Sungyun Choi
Ultrasonography. 2026;45(5):460-470.   Published online July 2, 2026
DOI: https://doi.org/10.14366/usg.26043
                         Supplementary      
Effect of an annotation-free artificial intelligence system for simultaneous detection and diagnosis on breast ultrasonography: a multireader, multicase study across diverse healthcare professionals
Hasang Park, Kyunghwa Han, Hye Won Kim, Won Hwa Kim, Jaeil Kim, Jung Hyun Yoon
Ultrasonography. 2026;45(4):342-350.   Published online April 1, 2026
DOI: https://doi.org/10.14366/usg.26033
                   Supplementary      
Direct deep learning analysis of three-dimensional automated breast ultrasound videos with reading mode optimization for breast cancer diagnosis
Yuqing Guo, Changyan Wang, Yingchun Liu, Yun Pang, Rui Ge, Weiping Li, Lizhuang Liu, Qi Zhang, Lin Chen
Ultrasonography. 2026;45(1):80-91.   Published online November 10, 2025
DOI: https://doi.org/10.14366/usg.25096
                         Supplementary      
Supplemental automated breast ultrasound in negative screening mammography: early-stage cancer detection in dense breasts with limited yield in non-dense breasts
Soo-Yeon Kim, Sung Eun Song, Min Sun Bae, Kyu Ran Cho, Bo Kyoung Seo, Ok Hee Woo
Ultrasonography. 2026;45(1):18-29.   Published online October 17, 2025
DOI: https://doi.org/10.14366/usg.25134
                         Supplementary      
Review Article
Ductal abnormalities as primary findings on breast ultrasonography: a literature review and proposed classification
Ken Oba, Hiroko Tsunoda, Woo Kyung Moon
Ultrasonography. 2025;44(4):245-259.   Published online May 6, 2025
DOI: https://doi.org/10.14366/usg.25048
                         Supplementary      
Original Articles
Utilization of artificial intelligence to triage patients with delayed follow-up of probably benign breast ultrasound findings
Tali Amir, Kristen Coffey, Jeffrey S Reiner, Varadan Sevilimedu, Victoria L Mango
Ultrasonography. 2025;44(2):145-152.   Published online January 21, 2025
DOI: https://doi.org/10.14366/usg.24206
                  
Improving breast ultrasonography education: the impact of AI-based decision support on the performance of non-specialist medical professionals
Sangwon Lee, Hye Sun Lee, Eunju Lee, Won Hwa Kim, Jaeil Kim, Jung Hyun Yoon
Ultrasonography. 2025;44(2):124-133.   Published online December 12, 2024
DOI: https://doi.org/10.14366/usg.24171
                         Supplementary      
Impact of adding preoperative magnetic resonance imaging to ultrasonography on male breast cancer survival: a matched analysis with female breast cancer
Jeongmin Lee, Ka Eun Kim, Myoung Kyoung Kim, Haejung Kim, Eun Sook Ko, Eun Young Ko, Boo-Kyung Han, Ji Soo Choi
Ultrasonography. 2025;44(1):72-82.   Published online September 23, 2024
DOI: https://doi.org/10.14366/usg.24130
                         Supplementary      
Perspective
Equity in breast cancer screening for Asian women with dense breasts through ultrasonography: lessons learned from Japanese mammography screening and the J-START trial
Takayoshi Uematsu
Ultrasonography. 2025;44(1):42-47.   Published online October 7, 2024
DOI: https://doi.org/10.14366/usg.24149
                  
Original Article
Ultrasonographic features of the skin and subcutis: correlations with the severity of breast cancer–related lymphedema
Ji Youn Park, Jae Yong Jeon, Seungwoo Cha
Ultrasonography. 2024;43(4):284-293.   Published online May 31, 2024
DOI: https://doi.org/10.14366/usg.24059
                  
Review Article
Artificial intelligence in breast ultrasound: application in clinical practice
Hila Fruchtman Brot, Victoria L. Mango
Ultrasonography. 2024;43(1):3-14.   Published online August 29, 2023
DOI: https://doi.org/10.14366/usg.23116
                  
Pictorial Essay
Clinical applications of shear wave dispersion imaging for breast lesions: a pictorial essay
Min Sun Bae, Hyo Young Kim, Hyunseung Oh, Bo Kyoung Seo
Ultrasonography. 2023;42(4):589-599.   Published online August 7, 2023
DOI: https://doi.org/10.14366/usg.23079
                  
Review Article
Overcoming the limitations of screening mammography in Japan and Korea: a paradigm shift to personalized breast cancer screening based on ultrasonography
Takayoshi Uematsu, Ayumi Izumori, Woo Kyung Moon
Ultrasonography. 2023;42(4):508-517.   Published online July 26, 2023
DOI: https://doi.org/10.14366/usg.23047
                  
Original Articles
Role of Doppler US and elastography prior to biopsy to identify candidates for avoidance of surgery following neoadjuvant chemotherapy for breast cancer
Soo-Yeon Kim, Han-Byoel Lee, Wonshik Han, Su Hyun Lee, Jung Min Chang, Nariya Cho
Ultrasonography. 2023;42(2):323-332.   Published online January 10, 2023
DOI: https://doi.org/10.14366/usg.22185
                  
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
                         Supplementary      
Pictorial Essays
Tips for finding magnetic resonance imaging-detected suspicious breast lesions using second-look ultrasonography: a pictorial essay
Taejun Jeon, Young Seon Kim, Hye Min Son, Seung Eun Lee
Ultrasonography. 2022;41(3):624-632.   Published online February 28, 2022
DOI: https://doi.org/10.14366/usg.21219
                  
Unexpected hyperechoic lesions of the breast and their correlations with pathology: a pictorial essay
Seo Young Park, Jee Young Park, Ji Won Park, Won Hwa Kim, Ji Young Park, Hye Jung Kim
Ultrasonography. 2022;41(3):597-609.   Published online February 12, 2022
DOI: https://doi.org/10.14366/usg.21243
                  
Original Articles
Improving the quality of breast ultrasound examination performed by inexperienced ultrasound doctors with synchronous tele-ultrasound: a prospective, parallel controlled trial
Yi-Kang Sun, Xiao-Long Li, Qiao Wang, Bo-Yang Zhou, An-Qi Zhu, Chuan Qin, Le-Hang Guo, Hui-Xiong Xu
Ultrasonography. 2022;41(2):307-316.   Published online August 15, 2021
DOI: https://doi.org/10.14366/usg.21081
                         Supplementary      
Ultrasonography and ultrasound-guided fine-needle aspiration biopsy can predict a heavy nodal metastatic burden in early-stage breast cancer
Hye Shin Ahn, Sun Mi Kim, Mijung Jang, Bo La Yun, Eunyoung Kang, Eun-Kyu Kim, So Yeon Park, Bohyoung Kim
Ultrasonography. 2021;40(4):520-529.   Published online January 21, 2021
DOI: https://doi.org/10.14366/usg.20143
                         Supplementary      
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
                  
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
                  
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
                  
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
                  
Original Articles
Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer
Si Eun Lee, Yongsik Sim, Sungwon Kim, Eun-Kyung Kim
Ultrasonography. 2021;40(1):93-102.   Published online April 1, 2020
DOI: https://doi.org/10.14366/usg.20026
                  
False-negative results on computer-aided detection software in preoperative automated breast ultrasonography of breast cancer patients
Youngjune Kim, Jiwon Rim, Sun Mi Kim, Bo La Yun, So Yeon Park, Hye Shin Ahn, Bohyoung Kim, Mijung Jang
Ultrasonography. 2021;40(1):83-92.   Published online March 24, 2020
DOI: https://doi.org/10.14366/usg.19076
                  
Pictorial Essay
Breast lesions during pregnancy and lactation: a pictorial essay
Seung Eun Lee, Young Kyung Bae
Ultrasonography. 2020;39(3):298-310.   Published online January 23, 2020
DOI: https://doi.org/10.14366/usg.19070
                  
Original Articles
Comparison of breast tissue markers for tumor localization in breast cancer patients undergoing neoadjuvant chemotherapy
Ja Ho Koo, Eun-Kyung Kim, Hee Jung Moon, Jung Hyun Yoon, Vivian Youngjean Park, Min Jung Kim
Ultrasonography. 2019;38(4):336-344.   Published online April 7, 2019
DOI: https://doi.org/10.14366/usg.19004
                  
Feasibility of ultrasound-guided absorbable retaining thread needle localization for nonpalpable breast lesions
Seo Young Park, Hye Jung Kim, Won Hwa Kim, Hye Jin Cheon, Hoseok Lee, Ho Yong Park, Jin Hyang Jung, Ji Young Park
Ultrasonography. 2019;38(3):272-276.   Published online January 8, 2019
DOI: https://doi.org/10.14366/usg.18059
                  
Reliability of automated versus handheld breast ultrasound examinations of suspicious breast masses
Gabin Yun, Sun Mi Kim, Bo La Yun, Hye Shin Ahn, Mijung Jang
Ultrasonography. 2019;38(3):264-271.   Published online December 23, 2018
DOI: https://doi.org/10.14366/usg.18055
                  
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