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Eunkyung Kim

Yonsei University · 医学

研究室紹介

Professor Eunkyung Kim's research lab specializes in medical imaging and diagnostic radiology, with a strong focus on improving the accuracy of cancer detection through advanced ultrasound and artificial intelligence. The lab investigates thyroid and breast cancer using sonographic classification, fine-needle aspiration biomarkers (such as thyroglobulin), and AI-driven diagnostic tools to enhance early detection and reduce diagnostic uncertainty. Key research directions include optimizing BI-RADS classification systems, evaluating the role of inflammatory cytokines in autoimmune joint destruction, and developing machine learning algorithms to support radiologists in interpreting mammograms and thyroid nodules.

ultrasound imagingartificial intelligence in radiologythyroid cancerbreast cancer screeningbiomarker detection

Research Overview

Papers
605
Total Citations
32,333
Papers (5y)
24
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
24total
2021
2022
2023
2024
2025
Citations per year (5y)
671total
20212022202320242025

Selected Papers

15
1
Article|1,052 citations·2002
New Sonographic Criteria for Recommending Fine-Needle Aspiration Biopsy of Nonpalpable Solid Nodules of the Thyroid
Eun‐Kyung Kim, Cheong Soo Park, Woung Youn Chung, Ki Keun Oh, Dong Ik Kim, Jong Tae Lee, Hyung Sik Yoo
SJR Q1American Journal of RoentgenologyOA

Considering the high level of sensitivity of our proposed sonographic classification, fine-needle aspiration biopsy should be performed on thyroid nodules classified as positive, regardless of palpability.

Endocrinology, Diabetes and MetabolismMedicine
2
Article|522 citations·2020
Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study
Hyo-Eun Kim, Hak Hee Kim, Boo‐Kyung Han, Kihwan Kim, Kyunghwa Han, Hyeonseob Nam, Eun Hye Lee, Eun‐Kyung Kim
SJR Q1The Lancet Digital HealthOA

BACKGROUND: Mammography is the current standard for breast cancer screening. This study aimed to develop an artificial intelligence (AI) algorithm for diagnosis of breast cancer in mammography, and explore whether it could benefit radiologists by improving accuracy of diagnosis. METHODS: In this retrospective study, an AI algorithm was developed and validated with 170 230 mammography examinations collected from five institutions in South Korea, the USA, and the UK, including 36 468 cancer positi

Artificial IntelligenceComputer Science
3
Article|223 citations·2009
Interobserver and Intraobserver Variations in Ultrasound Assessment of Thyroid Nodules
Seon Hyeong Choi, Eun‐Kyung Kim, Jin Young Kwak, Min Jung Kim, Eun Ju Son
SJR Q1ThyroidOA

Experienced radiologists showed more than a moderate degree of agreement in US assessment of thyroid nodules, and their final assessments were highly accurate.

Endocrinology, Diabetes and MetabolismMedicine
4
Article|213 citations·2017
IL-17-mediated mitochondrial dysfunction impairs apoptosis in rheumatoid arthritis synovial fibroblasts through activation of autophagy
Eun‐Kyung Kim, Jeong-Eun Kwon, Seon-Young Lee, Eunjung Lee, Dasom Kim, Su‐Jin Moon, Jennifer Lee, Seung‐Ki Kwok, Sung‐Hwan Park, Mi‐La Cho
SJR Q1Cell Death and DiseaseOA

Fibroblast-like synoviocytes (FLSs) are a major cell population of the pannus that invades cartilage and bone in rheumatoid arthritis (RA). FLS resistance to apoptosis is a major characteristic of RA. The aims of this study were to investigate the effects of interleukin-17 (IL-17) and IL-17-producing T helper (Th17) cells on resistance to apoptosis in FLSs from RA patients (RA FLSs) and their roles in mitochondrial dysfunction and autophagy. Mitochondrial function was assessed in RA FLSs and FLS

EpidemiologyMedicine
5
Article|174 citations·2007
Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound
Hye‐Jeong Lee, Eun‐Kyung Kim, Min Jung Kim, Ji Hyun Youk, Ji Young Lee, Dae Ryong Kang, Ki Keun Oh
SJR Q1European Journal of RadiologyOA
Pathology and Forensic MedicineMedicine
6
Article|161 citations·2008
Thyroglobulin measurement in fine‐needle aspirate washouts: the criteria for neck node dissection for patients with thyroid cancer
Min Jung Kim, Eun‐Kyung Kim, Byung Moon Kim, Jin Young Kwak, Eun Jig Lee, Cheong Soo Park, Woong Youn Cheong, Kee‐Hyun Nam
SJR Q2Clinical EndocrinologyOA

BACKGROUND: Several studies report that detection of thyroglobulin (Tg) in fine-needle aspiration (FNA) biopsy washout fluid from lymph nodes identifies recurrences/metastases of differentiated papillary thyroid cancer (DPTC) in the neck with higher sensitivity and specificity than fine-needle aspiration cytology (FNAC). However, the diagnostic FNA-Tg cutoff values have not yet been established. OBJECTIVE: To determine an appropriate diagnostic threshold value for Tg levels in FNA washout fluid

Endocrinology, Diabetes and MetabolismMedicine
7
Article|145 citations·2008
Clinical Application of the BI-RADS Final Assessment to Breast Sonography in Conjunction with Mammography
Eun‐Kyung Kim, Kyung Hee Ko, Ki Keun Oh, Jin Young Kwak, Jai Kyung You, Min Jung Kim, Byeong‐Woo Park
SJR Q1American Journal of RoentgenologyOA

OBJECTIVE: The objective of our study was to report the results of classification of sonographic findings according to BI-RADS and to calculate the positive predictive value (PPV) for each BI-RADS assessment category. SUBJECTS AND METHODS: We prospectively classified 4,668 breast sonograms according to BI-RADS final assessment category. Suspicious sonographic findings were divided into major and minor suspicious findings. Category 1 was normal and category 2 was a benign finding such as cyst or

Pathology and Forensic MedicineMedicine
8
Article|131 citations·2013
A single-molecule dissection of ligand binding to a protein with intrinsic dynamics
Eun‐Kyung Kim, Sang-Hwa Lee, Aram Jeon, Jung Min Choi, Hee‐Seung Lee, Sungchul Hohng, Hak‐Sung Kim
SJR Q1Nature Chemical Biology
Molecular BiologyBiochemistry, Genetics and Molecular Biology
9
Article|126 citations·2009
Papillary Microcarcinoma of the Thyroid: Predicting Factors of Lateral Neck Node Metastasis
Jin Young Kwak, Eun‐Kyung Kim, Min Jung Kim, Eun Ju Son, Woong Youn Chung, Cheong Soo Park, Kee‐Hyun Nam
SJR Q1Annals of Surgical OncologyOA
Endocrinology, Diabetes and MetabolismMedicine
10
Article|126 citations·2003
Enzyme-Amplified Electrochemical Detection of DNA Using Electrocatalysis of Ferrocenyl-Tethered Dendrimer
Eun‐Kyung Kim, Kyu‐Won Kim, Haesik Yang, Youn Tae Kim, Juhyoun Kwak
SJR Q1Analytical Chemistry

We have developed a sandwich-type enzyme-linked DNA sensor as a new electrochemical method to detect DNA hybridization. A partially ferrocenyl-tethered poly(amidoamine) dendrimer (Fc-D) was used as an electrocatalyst to enhance the electronic signals of DNA detection as well as a building block to immobilize capture probes. Fc-D was immobilized on a carboxylic acid-terminated self-assembled monolayer (SAM) by covalent coupling of unreacted amine in Fc-D to the acid. Thiolated capture probe was a

Molecular BiologyBiochemistry, Genetics and Molecular Biology
11
Article|126 citations·2018
Applying Data-driven Imaging Biomarker in Mammography for Breast Cancer Screening: Preliminary Study
Eun‐Kyung Kim, Hyo-Eun Kim, Kyunghwa Han, Bong Joo Kang, Yu‐Mee Sohn, Ok Hee Woo, Chan Wha Lee
SJR Q1Scientific ReportsOA

We assessed the feasibility of a data-driven imaging biomarker based on weakly supervised learning (DIB; an imaging biomarker derived from large-scale medical image data with deep learning technology) in mammography (DIB-MG). A total of 29,107 digital mammograms from five institutions (4,339 cancer cases and 24,768 normal cases) were included. After matching patients' age, breast density, and equipment, 1,238 and 1,238 cases were chosen as validation and test sets, respectively, and the remainde

Artificial IntelligenceComputer Science
12
Article|125 citations·2006
New tetrazine-based fluoroelectrochromic window; modulation of the fluorescence through applied potential
Yuna Kim, Eun‐Kyung Kim, Gilles Clavier, Pierre Audebert
SJR Q1Chemical Communications

A new electrofluorescent switch was prepared with an electroactive fluorescent tetrazine blend of polymer electrolyte; the cells contain four layers: the tetrazine polymer film, a photocured polymer electrolyte film, and two indium-tin oxide plates as the two contact electrodes.

Polymers and PlasticsMaterials Science
13
Article|108 citations·2017
The frequency and clinical impact of HER2 alterations in lung adenocarcinoma
Eun‐Kyung Kim, Kyunga Kim, Chang Young Lee, Hyo Sup Shim
SJR Q1PLoS ONEOA

Human epidermal growth factor receptor 2 (HER2 or ErbB2) can be overexpressed, amplified and/or mutated in malignant tumors, and is a candidate for therapeutic targeting. However, molecular associations and clinical significances of these alterations were controversial in lung cancer. In this study, we investigated the frequency and clinicopathological significance of HER2 dysregulation in patients with lung adenocarcinoma. HER2 protein overexpression, gene amplification, and gene mutation were

OncologyMedicine
14
Article|108 citations·2009
Effects of silica nanoparticle and GPTMS addition on TEOS-based stone consolidants
Eun‐Kyung Kim, Jongok Won, Jinyoung Do, Sa Dug Kim, Yong Soo Kang
SJR Q1Journal of Cultural Heritage
Earth-Surface ProcessesEarth and Planetary Sciences
15
Article|105 citations·2011
Color Combination of Conductive Polymers for Black Electrochromism
Haijin Shin, Yuna Kim, Thiruvelu Bhuvana, Jiyea Lee, Xu Yang, Cheolmin Park, Eun‐Kyung Kim
SJR Q1ACS Applied Materials & Interfaces

Conducting polymers that absorb three primary colors, red, green, and blue (RGB), were introduced with a yellow electrochromic polymer (Y) for the preparation of black electrochromic devices. Red poly(3-hexylthiophene) (P3HT) and blue poly(3,4-ethylenedioxythiophene) (PEDOT) were coated on one side of the electrode as a cathodically coloring electrochromic (EC) layer, while green poly(aniline-N-butylsulfonate) (PANBS) and yellow EC poly{[1,3-bis(9',9'-dihexylfluoren-20-yl)azulenyl]-alt-[2",7"-(9

Polymers and PlasticsMaterials Science

Research Areas

Endocrinology, Diabetes and MetabolismPathology and Forensic MedicineCancer ResearchMolecular BiologyRadiology, Nuclear Medicine and ImagingImmunology

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