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Eun Sook Ko

Sungkyunkwan University · 医学

研究室紹介

Professor Eun Sook Ko's research lab specializes in breast imaging and radiomics, focusing on optimizing the diagnostic and prognostic value of dynamic contrast-enhanced MRI in breast cancer. The lab investigates perfusion heterogeneity, background parenchymal enhancement, and quantitative MRI biomarkers to improve risk stratification and treatment response prediction. Key research directions include the impact of menstrual cycle and breast composition on MRI features, the role of radiomics in survival modeling, and the clinical implications of non-invasive imaging findings in preoperative and neoadjuvant settings. The lab also explores abbreviated MRI protocols to enhance accessibility and efficiency in breast cancer screening and diagnosis.

breast MRIradiomicsperfusion imagingneoadjuvant chemotherapybackground parenchymal enhancement

Research Overview

Papers
140
Total Citations
3,441
Papers (5y)
52
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
52total
2021
2022
2023
2024
2025
Citations per year (5y)
574total
20212022202320242025

Selected Papers

15
1
Article|197 citations·2009
Triple-negative breast cancer: correlation between imaging and pathological findings
Eun Sook Ko, Byung Hee Lee, Hyun‐Ah Kim, Woo-Chul Noh, Min Suk Kim, Sang‐Ah Lee
SJR Q1European Radiology
Cancer ResearchBiochemistry, Genetics and Molecular Biology
2
Article|77 citations·2013
Analysis of Factors that Influence the Accuracy of Magnetic Resonance Imaging for Predicting Response after Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer
Eun Sook Ko, Boo‐Kyung Han, Rock Bum Kim, Eun Young Ko, Jung Hee Shin, Soo Yeon Hahn, Seok Jin Nam, Jeong Eon Lee, Se Kyung Lee, Young‐Hyuck Im, Yeon Hee Park
SJR Q1Annals of Surgical Oncology
Radiology, Nuclear Medicine and ImagingMedicine
3
Article|67 citations·2022
Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with Prognosis in Breast Cancer Patients
Hwan-ho Cho, Haejung Kim, Sang Yu Nam, Jeong Eon Lee, Boo‐Kyung Han, Eun Young Ko, Eun Young Ko, Ji Soo Choi, Hyunjin Park, Eun Sook Ko, Eun Sook Ko
SJR Q1CancersOA

The purpose of this study was to identify perfusional subregions sharing similar kinetic characteristics from dynamic contrast-enhanced magnetic resonance imaging (MRI) using data-driven clustering, and to evaluate the effect of perfusional heterogeneity based on those subregions on patients’ survival outcomes in various risk models. From two hospitals, 308 and 147 women with invasive breast cancer who underwent preoperative MRI between October 2011 and July 2012 were retrospectively enrolled as

Radiology, Nuclear Medicine and ImagingMedicine
4
Article|57 citations·2013
Apparent Diffusion Coefficient in Estrogen Receptor–Positive Invasive Ductal Breast Carcinoma: Correlations with Tumor-Stroma Ratio
Eun Sook Ko, Boo‐Kyung Han, Rock Bum Kim, Eun Yoon Cho, Soomin Ahn, Seok Jin Nam, Eun Young Ko, Jung Hee Shin, Soo Yeon Hahn
SJR Q1Radiology

In estrogen receptor-positive breast cancers, ADC values showed significant differences according to the tumor-stroma ratio and dominant stroma type.

Radiology, Nuclear Medicine and ImagingMedicine
5
Article|50 citations·2016
Background Parenchymal Enhancement on Preoperative Magnetic Resonance Imaging
Ji Soo Choi, Eun Sook Ko, Eun Young Ko, Boo‐Kyung Han, Seok Jin Nam
SJR Q3MedicineOA

To retrospectively investigate whether background parenchymal enhancement (BPE) of the contralateral breast on preoperative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is associated with therapeutic outcomes following neoadjuvant chemotherapy (NAC) in unilateral invasive breast cancer. The institutional review board approved this study, and informed consent was waived. Between 2009 and 2011, 93 women with unilateral invasive breast cancer (43 premenopausal women who performed

Cancer ResearchBiochemistry, Genetics and Molecular Biology
6
Article|50 citations·2013
Automated volumetric breast density estimation: A comparison with visual assessment
Jeong-Meen Seo, Eun Sook Ko, Boo‐Kyung Han, Eun Young Ko, Jung Hee Shin, Soo Yeon Hahn
SJR Q2Clinical RadiologyOA
Pulmonary and Respiratory MedicineMedicine
7
Review|49 citations·2019
Abbreviated Magnetic Resonance Imaging for Breast Cancer Screening: Concept, Early Results, and Considerations
Eun Sook Ko, Elizabeth A. Morris
SJR Q1Korean Journal of RadiologyOA

Breast magnetic resonance imaging (MRI) has been increasingly utilized, especially in screening for high-risk cases, because of its high sensitivity and superior ability to detect cancers as compared with mammography and ultrasound. Several limitations such as higher cost, longer examination time, longer interpretation time, and low availability have hindered the wider application of MRI, especially for screening of average-risk women. To overcome some of these limitations and increase access to

Radiology, Nuclear Medicine and ImagingMedicine
8
Article|45 citations·2010
Background enhancement in breast MR: Correlation with breast density in mammography and background echotexture in ultrasound
Eun Sook Ko, Byung Hee Lee, Hye Young Choi, Rock Bum Kim, Woo-Chul Noh
SJR Q1European Journal of Radiology
Radiology, Nuclear Medicine and ImagingMedicine
9
Article|44 citations·2013
Background parenchymal enhancement on breast MRI: Influence of menstrual cycle and breast composition
Seok Seon Kang, Eun Young Ko, Boo‐Kyung Han, Jung Hee Shin, Soo Yeon Hahn, Eun Sook Ko, Eun Sook Ko, Eun Sook Ko
SJR Q1Journal of Magnetic Resonance Imaging

PURPOSE: To evaluate the menstrual cycle and breast composition influence on background parenchymal enhancement of breast magnetic resonance imaging (MRI) and to investigate the optimal time for breast MR examinations. MATERIALS AND METHODS: We evaluated the dynamic contrast-enhanced breast MR images of 238 women who had completed a questionnaire survey about menstrual status. On MRI, the degree of enhancement (DE) of normal parenchyma was measured in the images 2 minutes and 6 minutes after con

Radiology, Nuclear Medicine and ImagingMedicine
10
Article|43 citations·2017
Background parenchymal enhancement on breast MRI: association with recurrence-free survival in patients with newly diagnosed invasive breast cancer
Yaeji Lim, Eun Sook Ko, Boo‐Kyung Han, Eun Young Ko, Ji Soo Choi, Jeong Eon Lee, Se Kyung Lee
SJR Q1Breast Cancer Research and Treatment
Radiology, Nuclear Medicine and ImagingMedicine
11
Article|35 citations·2007
Sonographically-Guided 14-Gauge Core Needle Biopsy for Papillary Lesions of the Breast
Eun Sook Ko, Nariya Cho, Joo Hee, Jeong Seon Park, Sun Mi Kim, Woo Kyung Moon
SJR Q1Korean Journal of RadiologyOA

OBJECTIVE: We wanted to assess the need for surgical excising papillary lesions of the breast that were diagnosed upon sonographically guided 14-gauge core needle biopsy. MATERIALS AND METHODS: Sixty-nine women (age range: 25-74 years, mean age: 51.7 years) with 69 papillary lesions (4.9%) were diagnosed and followed after performing sonographically guided 14-gauge core needle biopsies. Surgical excision was performed for 44 (64%) of 69 papillary lesions, and 25 lesions were followed with imagin

Pathology and Forensic MedicineMedicine
12
Article|34 citations·2016
Assessment of Invasive Breast Cancer Heterogeneity Using Whole-Tumor Magnetic Resonance Imaging Texture Analysis
Eun Sook Ko, Jae‐Hun Kim, Yaeji Lim, Boo‐Kyung Han, Eun Yoon Cho, Seok Jin Nam
SJR Q3MedicineOA

There is no study that investigates the potential correlation between the heterogeneity obtained from texture analysis of medical images and the heterogeneity observed from histopathological findings. We investigated whether texture analysis of magnetic resonance images correlates with histopathological findings.Seventy-five patients with estrogen receptor positive invasive ductal carcinoma who underwent preoperative breast magnetic resonance imaging (MRI) were included. Tumor entropy and unifor

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|29 citations·2009
Noncalcified Ductal Carcinoma In Situ
Jae Hwan Kim, Eun Sook Ko, Do Youn Kim, Heon Han, Jeong-Hee Sohn, Du Hwan Choe
SJR Q2Journal of Ultrasound in Medicine

Imaging findings for noncalcified DCIS are relatively nonspecific and are frequently similar to those of invasive malignancy. This knowledge may be useful for detecting noncalcified DCIS, planning treatment, and predicting the prognosis.

Cancer ResearchBiochemistry, Genetics and Molecular Biology
14
Article|28 citations·2019
Radiomics signature on 3T dynamic contrast-enhanced magnetic resonance imaging for estrogen receptor-positive invasive breast cancers
Kyung Jin Nam, Hyunjin Park, Eun Sook Ko, Yaeji Lim, Hwan-ho Cho, Jeong Eon Lee
SJR Q3MedicineOA

To evaluate the ability of a radiomics signature based on 3T dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) to distinguish between low and non-low Oncotype DX (OD) risk groups in estrogen receptor (ER)-positive invasive breast cancers.Between May 2011 and March 2016, 67 women with ER-positive invasive breast cancer who performed preoperative 3T MRI and OD assay were included. We divided the patients into low (OD recurrence score [RS] <18) and non-low risk (RS ≥18) groups. Extra

Radiology, Nuclear Medicine and ImagingMedicine
15
Article|24 citations·2016
Analysis of factors influencing the degree of detectability on diffusion-weighted MRI and diffusion background signals in patients with invasive breast cancer
Soo Yeon Hahn, Eun Sook Ko, Boo‐Kyung Han, Yaeji Lim, Seonhye Gu, Eun Young Ko
SJR Q3MedicineOA

To determine the factors influencing the degree of detectability of lesions and diffusion background signals on magnetic resonance diffusion-weighted imaging (DWI) in invasive breast cancer.Institutional review board approval was obtained and patient consent was waived. Patients with newly diagnosed invasive ductal carcinoma, who underwent preoperative breast magnetic resonance imaging with DWI were included in this study (n = 167). Lesion detectability on DWI and contrast-enhanced subtracted T1

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Radiology, Nuclear Medicine and ImagingCancer ResearchPathology and Forensic MedicineEndocrinology, Diabetes and MetabolismPulmonary and Respiratory MedicineArtificial Intelligence

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