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공성혜 교수

Sung Hye Kong

서울대학교 · 의학

연구실 소개

공성혜 교수의 연구실은 갑상선암 및 골다공로시스를 중심으로 한 임상 연구를 수행하며, 특히 저위험도 피부성 갑상선 미소암에서 수술과 활성적 관찰 간의 삶의 질 비교, 골다공로시스의 정밀 예측 모델 개발, 그리고 골다공로시스와 인지 기능 저하 간의 연관성에 대한 장기적 관찰 연구를 진행하고 있습니다. 특히 머신러닝 기반의 골절 위험 예측 알고리즘과 TBS(트라베큘라 뼈 점수)의 임상적 활용 최적화에 초점을 맞추고 있습니다. 이는 환자의 개인화된 치료 결정과 예방 전략 수립에 기여하고자 하는 연구 목표를 가지고 있습니다.

활성적 관찰골절 위험 예측TBS기계학습인지 기능 저하

연구 현황

논문 수
114
총 인용 수
1,498
최근 5년 논문
67
주요 분야
의학

연구 성과 추이

표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.

5개년 연도별 논문 게재 수
67총합
2021
2022
2023
2024
2025
5개년 연도별 피인용 수
647총합
20212022202320242025

주요 논문

15
1
논문|인용수 88·2019
Longitudinal Assessment of Quality of Life According to Treatment Options in Low-Risk Papillary Thyroid Microcarcinoma Patients: Active Surveillance or Immediate Surgery (Interim Analysis of MAeSTro)
Sung Hye Kong, Junsun Ryu, Min Joo Kim, Sun Wook Cho, Young Shin Song, Ka Hee Yi, Do Joon Park, Yul Hwangbo, You Jin Lee, Kyu Eun Lee, Su‐jin Kim, Woo‐Jin Jeong
SJR Q1FWCI 6.7Thyroid

<b><i>Background:</i></b> In this ongoing multicenter prospective cohort study on active surveillance (AS) in low-risk papillary thyroid microcarcinoma (PTMC), we aimed to compare the quality of life (QoL) of participants based on their choice of treatment, that is, AS or immediate surgery (OP). <b><i>Methods:</i></b> QoL of 203 participants who chose AS and 192 participants who underwent OP was evaluated using a thyroid-specific QoL questionnaire at diagnosis and during follow-up (median 8 mont

Endocrinology, Diabetes and MetabolismMedicine
2
논문|인용수 81·2020
A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort
Sung Hye Kong, Daehwan Ahn, Buomsoo Kim, Karthik Srinivasan, Sudha Ram, Hana Kim, A Ram Hong, Jung Hee Kim, Nam H. Cho, Chan Soo Shin
SJR Q1FWCI 7.5JBMR PlusOA

The prediction of fracture risk in osteoporotic patients has been a topic of interest for decades, and models have been developed for the accurate prediction of fracture, including the fracture risk assessment tool (FRAX). As machine-learning methodologies have recently emerged as a potential model for medical prediction tools, we aimed to develop a novel fracture prediction model using machine-learning methods in a prospective community-based cohort. In this study, 2227 participants (1257 femal

Orthopedics and Sports MedicineMedicine
3
리뷰|인용수 64·2022
Effect of Vitamin D Supplementation on Risk of Fractures and Falls According to Dosage and Interval: A Meta-Analysis
Sung Hye Kong, Han Na Jang, Jung Hee Kim, Sang Wan Kim, Chan Soo Shin
SJR Q1FWCI 9.0Endocrinology and MetabolismOA

Daily vitamin D dose of 800 to 1,000 IU was the most probable way to reduce the fracture and fall risk. Further studies designed with various regimens and targeted vitamin D levels are required to elucidate the benefits of vitamin D supplements.

Pathology and Forensic MedicineMedicine
4
논문|인용수 57·2017
Dietary calcium intake and risk of cardiovascular disease, stroke, and fracture in a population with low calcium intake
Sung Hye Kong, Jung Hee Kim, A Ram Hong, Nam H. Cho, Chan Soo Shin
SJR Q1FWCI 4.6American Journal of Clinical NutritionOA
Orthopedics and Sports MedicineMedicine
5
논문|인용수 56·2022
Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm
Sung Hye Kong, Jae-Won Lee, Byeonguk Bae, Jin Kyeong Sung, Kyu Hwan Jung, Jung Hee Kim, Chan Soo Shin
SJR Q1FWCI 4.1Endocrinology and MetabolismOA

DeepSurv, a CNN-based prediction algorithm using baseline image and clinical information, outperformed the FRAX and CoxPH models in predicting osteoporotic fracture from spine radiographs in a longitudinal cohort.

Biomedical EngineeringEngineering
6
논문|인용수 55·2017
Dietary potassium intake is beneficial to bone health in a low calcium intake population: the Korean National Health and Nutrition Examination Survey (KNHANES) (2008–2011)
Sung Hye Kong, Jung Hee Kim, A Ram Hong, Ju‐Myung Lee, Sang Wan Kim, Chan Soo Shin
SJR Q1FWCI 2.2Osteoporosis International
NephrologyMedicine
7
논문|인용수 46·2018
Insulin Resistance is Associated with Cognitive Decline Among Older Koreans with Normal Baseline Cognitive Function: A Prospective Community-Based Cohort Study
Sung Hye Kong, Young Joo Park, Jun‐Young Lee, Nam H. Cho, Min Kyong Moon
SJR Q1FWCI 2.4Scientific ReportsOA

We evaluated whether metabolic factors were associated with cognitive decline, compared to baseline cognitive function, among geriatric population. The present study evaluated data from an ongoing prospective community-based Korean cohort study. Among 1,387 participants who were >65 years old, 422 participants were evaluated using the Korean mini-mental status examination (K-MMSE) at the baseline and follow-up examinations. The mean age at the baseline was 69.3 ± 2.9 years, and 222 participants

Psychiatry and Mental healthMedicine
8
논문|인용수 42·2021
Epidemiology and prognosis of parathyroid carcinoma: real-world data using nationwide cohort
Sung Hye Kong, Jung Hee Kim, Man Young Park, Sang Wan Kim, Chan Soo Shin
SJR Q1FWCI 4.3Journal of Cancer Research and Clinical OncologyOA
NephrologyMedicine
9
논문|인용수 33·2021
Application of the Trabecular Bone Score in Clinical Practice
Sung Hye Kong, Namki Hong, Jin‐Woo Kim, Deog Yoon Kim, Jung Hee Kim
SJR Q2FWCI 5.7Journal of Bone MetabolismOA

The trabecular bone score (TBS) was introduced as an indirect index of trabecular microarchitecture, complementary to bone mineral density (BMD), and is derived using the same dual energy X-ray absorptiometry images. Recently, it has been approved for clinical use in Korea. Therefore, we conducted a comprehensive review to optimize the use of TBS in clinical practice. The TBS is an independent predictor of osteoporotic fractures in postmenopausal women and men aged >50 years. The TBS is potentia

Orthopedics and Sports MedicineMedicine
10
리뷰|인용수 32·2021
Applications of Machine Learning in Bone and Mineral Research
Sung Hye Kong, Chan Soo Shin
SJR Q1FWCI 3.6Endocrinology and MetabolismOA

In this unprecedented era of the overwhelming volume of medical data, machine learning can be a promising tool that may shed light on an individualized approach and a better understanding of the disease in the field of osteoporosis research, similar to that in other research fields. This review aimed to provide an overview of the latest studies using machine learning to address issues, mainly focusing on osteoporosis and fractures. Machine learning models for diagnosing and classifying osteoporo

Orthopedics and Sports MedicineMedicine
11
논문|인용수 30·2016
Anti-programmed cell death 1 therapy triggering diabetic ketoacidosis and fulminant type 1 diabetes
Sung Hye Kong, Seo Young Lee, Ye Yang, Tae Min Kim, Soo Heon Kwak
SJR Q1FWCI 2.7Acta Diabetologica
GeneticsBiochemistry, Genetics and Molecular Biology
12
논문|인용수 30·2019
Dehydroepiandrosterone Sulfate and Free Testosterone but not Estradiol are Related to Muscle Strength and Bone Microarchitecture in Older Adults
Sung Hye Kong, Jung Hee Kim, Ji Hyun Lee, A Ram Hong, Chan Soo Shin, Nam H. Cho
SJR Q1FWCI 1.3Calcified Tissue International
PhysiologyMedicine
13
논문|인용수 25·2019
Low free T3 to free T4 ratio was associated with low muscle mass and impaired physical performance in community-dwelling aged population
Sung Hye Kong, Jung Hee Kim, Young Joo Park, J. H. Lee, A Ram Hong, Chan Soo Shin, N. H. Cho
SJR Q1FWCI 2.1Osteoporosis International
Endocrinology, Diabetes and MetabolismMedicine
14
논문|인용수 17·2018
Subclinical Hypothyroidism and Coronary Revascularization After Coronary Artery Bypass Grafting
Sung Hye Kong, Ji Won Yoon, Sang Yoon Kim, Tae Jung Oh, Kay‐Hyun Park, Joong Haeng Choh, Young Joo Park, Cheong Lim
SJR Q2FWCI 0.8The American Journal of Cardiology
Endocrinology, Diabetes and MetabolismMedicine
15
논문|인용수 15·2019
Effects of Dapagliflozin on Endothelial Function, Renal Injury Markers, and Glycemic Control in Drug-Naïve Patients with Type 2 Diabetes Mellitus
Sung Hye Kong, Bo Kyung Koo, Min Kyong Moon
SJR Q1FWCI 1.4Diabetes & Metabolism JournalOA

Dapagliflozin treatment did not affect systemic endothelial function or renal injury markers except <i>N</i>-acetyl-beta-D-glucosaminidase.

Endocrinology, Diabetes and MetabolismMedicine

대표 연구 분야

Endocrinology, Diabetes and MetabolismSurgeryOrthopedics and Sports MedicineNephrologyPhysiologyOncology

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