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Young Jun Choi
Researcher at University of Ulsan
Publications - 145
Citations - 4603
Young Jun Choi is an academic researcher from University of Ulsan. The author has contributed to research in topics: Thyroid nodules & Thyroid. The author has an hindex of 31, co-authored 130 publications receiving 3265 citations. Previous affiliations of Young Jun Choi include Asan Medical Center.
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Journal ArticleDOI
2017 Thyroid Radiofrequency Ablation Guideline: Korean Society of Thyroid Radiology
Ji Hoon Kim,Jung Hwan Baek,Hyun Kyung Lim,Hye Shin Ahn,Seon Mi Baek,Yoon Jung Choi,Young Jun Choi,Sae Rom Chung,Eun Ju Ha,Soo Yeon Hahn,So Lyung Jung,Dae Sik Kim,Soo Jin Kim,Yeo Koon Kim,Chang Yoon Lee,Jeong Hyun Lee,Kwang Hwi Lee,Young Hen Lee,Jeong Seon Park,Hye Sun Park,Jung Hee Shin,Chong Hyun Suh,Jin Yong Sung,Jung Suk Sim,Inyoung Youn,Miyoung Choi,Dong Gyu Na +26 more
TL;DR: The revised guideline for the optimal use of radiofrequency ablation for thyroid tumors is based on a comprehensive analysis of the current literature and expert consensus.
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Functional MR Imaging of Prostate Cancer
TL;DR: A comprehensive evaluation in which both functional and anatomic MR imaging techniques are used with an understanding of their particular advantages and disadvantages may help improve the accuracy of MR for detection and localization of prostate cancer.
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A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment
Young Jun Choi,Jung Hwan Baek,Hye Sun Park,Woo Hyun Shim,Tae Yong Kim,Young Kee Shong,Jeong Hyun Lee +6 more
TL;DR: The sensitivity of the CAD system using AI for malignant thyroid nodules was as good as that of the experienced radiologist, while specificity and accuracy were lower than those of theienced radiologist.
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Wash‐in rate on the basis of dynamic contrast‐enhanced MRI: Usefulness for prostate cancer detection and localization
Jeong Kon Kim,Seong Sook Hong,Young Jun Choi,Seong Ho Park,Hanjong Ahn,Choung-Soo Kim,Kyoung-Sik Cho +6 more
TL;DR: To evaluate the usefulness of the wash‐in rate based on dynamic contrast‐enhanced MRI for the detection and localization of prostate cancer, a DCE MRI study is conducted at the ULTIMATE and SOTA levels.
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Thyroid Imaging Reporting and Data System Risk Stratification of Thyroid Nodules: Categorization Based on Solidity and Echogenicity
TL;DR: The malignancy risk of thyroid nodules can be stratified by TIRADS according to US patterns by combining solidity, echogenicity, and suspicious US features.