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Kyung-Hwa Han

Yonsei University · 医学

研究室紹介

Professor Kyung-Hwa Han's research lab specializes in diagnostic and prognostic radiology, with a strong focus on improving clinical decision-making through advanced medical imaging and artificial intelligence. The lab investigates the integration of radiological findings—particularly from MRI and contrast-enhanced imaging—into predictive models to enhance disease diagnosis and outcome prediction. A key area of innovation involves the development and evaluation of AI-generated radiology reports for accuracy, patient-friendliness, and clinical utility, while rigorously assessing for artificial hallucinations. The lab also emphasizes methodological rigor in radiological research, including inter-reader agreement and survival analysis using Cox regression with attention to real-world data limitations.

radiological imagingclinical prediction modelsAI-generated reportssurvival analysisinter-reader agreement

Research Overview

Papers
412
Total Citations
11,790
Papers (5y)
125
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
125total
2022
2023
2024
2025
2026
Citations per year (5y)
1,369total
20222023202420252026

Selected Papers

15
1
Review|163 citations·2016
How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical Methods
Kyunghwa Han, Kijun Song, Byoung Wook Choi
SJR Q1Korean Journal of RadiologyOA

Clinical prediction models are developed to calculate estimates of the probability of the presence/occurrence or future course of a particular prognostic or diagnostic outcome from multiple clinical or non-clinical parameters. Radiologic imaging techniques are being developed for accurate detection and early diagnosis of disease, which will eventually affect patient outcomes. Hence, results obtained by radiological means, especially diagnostic imaging, are frequently incorporated into a clinical

Radiology, Nuclear Medicine and ImagingMedicine
2
editorial|131 citations·2022
Restricted Mean Survival Time for Survival Analysis: A Quick Guide for Clinical Researchers
Kyunghwa Han, Inkyung Jung
SJR Q1Korean Journal of RadiologyOA

In radiological research, survival analysis has been increasingly used to evaluate prognostic outcomes Researchers may be familiar with the use of Cox proportional hazards (PH) regression to quantify the effect of predictors, such as treatment, imaging, or radiological variables, using hazard ratios. Cox regression requires the proportional hazards assumption, which means that the ratio of hazards between groups is constant over the entire study period, to be valid; however, this scenario is rar

Economics and EconometricsEconomics, Econometrics and Finance
3
Article|76 citations·2024
Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting
Jiwoo Park, Kangrok Oh, Kyunghwa Han, Young Han Lee
SJR Q1Scientific ReportsOA

The purposes were to assess the efficacy of AI-generated radiology reports in terms of report summary, patient-friendliness, and recommendations and to evaluate the consistent performance of report quality and accuracy, contributing to the advancement of radiology workflow. Total 685 spine MRI reports were retrieved from our hospital database. AI-generated radiology reports were generated in three formats: (1) summary reports, (2) patient-friendly reports, and (3) recommendations. The occurrence

Health InformaticsMedicine
4
Article|25 citations·2019
Imaging Features of Hepatocellular Carcinoma
Jinwoo Son, Shin Hwang, Sumi Park, Kyunghwa Han, Yong Eun Chung, Jin‐Young Choi, Myeong‐Jin Kim, Mi‐Suk Park
SJR Q1Investigative RadiologyOA

OBJECTIVES: The aim of this study was to compare the major imaging features of hepatocellular carcinoma (HCC) on magnetic resonance imaging (MRI) scans with Gd-EOB-DTPA (EOB) and extracellular agent (ECA; Gd-DTPA) contrast media. MATERIALS AND METHODS: Among 184 surgically proven HCCs in 169 patients who underwent a liver MRI with either EOB (n = 120) or ECA (n = 49), 55 HCCs were matched according to tumor size, Edmonson grade (major and worst), and gross type for each of the 2 contrast media.

HepatologyMedicine
5
editorial|24 citations·2024
Statistical Methods for the Analysis of Inter-Reader Agreement Among Three or More Readers
Kyunghwa Han, Leeha Ryu
SJR Q1Korean Journal of RadiologyOA

The inter-reader agreement is a key imaging interpretation-related outcome parameter in radiological research.The interpretation of medical images can be affected by the subjective assessment of readers.Therefore, the measure of inter-reader agreement is crucial.A substantial degree of reliability is required in clinical research involving image interpretation.To evaluate the extent of inter-reader agreement, measures of agreement such as kappa, intraclass correlation coefficient (ICC), and conc

Statistics, Probability and UncertaintyDecision Sciences
6
Article|12 citations·2017
1.5–2 cm tumor size was not associated with distant metastasis and mortality in small thyroid cancer: A population-based study
Kyunghwa Han, Eun‐Kyung Kim, Jin Young Kwak
SJR Q1Scientific ReportsOA

Most guidelines for the diagnosis and management of thyroid nodules have suggested fine-needle aspiration as a diagnostic tool, with some of these previously published guidelines suggesting a cutoff size of 1.5 cm. In thyroid cancers (1-2 cm), we hypothesized that tumors 1.5 cm or larger had more unfavorable clinical outcomes than ones smaller than 1.5 cm nodules. Using the Surveillance, Epidemiology, and End Results database, we identified 14,117 patients diagnosed with only primary thyroid can

Endocrinology, Diabetes and MetabolismMedicine
7
Article|11 citations·2022
CT-based radiomics signature for differentiation between cardiac tumors and thrombi: a retrospective, multicenter study
Ji Won Lee, Chul Hwan Park, Dong Jin Im, Kye Ho Lee, Tae Hoon Kim, Kyunghwa Han, Jin Hur
SJR Q1Scientific ReportsOA

The study aimed to develop and validate whether the computed tomography (CT) radiomics analysis is effective in differentiating cardiac tumors and thrombi. For this retrospective study, a radiomics model was developed on the basis of a training dataset of 192 patients (61.9 ± 13.3 years, 90 men) with cardiac masses detected in cardiac CT from January 2010 to September 2019. We constructed three models for discriminating between a cardiac tumor and a thrombus: a radiomics model, a clinical model,

Cardiology and Cardiovascular MedicineMedicine
8
Article|11 citations·2020
Strap muscle invasion in differentiated thyroid cancer does not impact disease-specific survival: a population-based study
Ja Kyung Yoon, Jandee Lee, Eun‐Kyung Kim, Jung Hyun Yoon, Vivian Youngjean Park, Kyunghwa Han, Jin Young Kwak
SJR Q1Scientific ReportsOA

TNM staging system of differentiated thyroid cancer defines gross strap muscle invasion as T3b stage. However, the impact of strap muscle invasion on disease-specific survival (DSS) remains controversial. To elucidate the survival impact of strap muscle invasion of any degree in thyroid cancers, the Surveillance, Epidemiology, and End Results (SEER) database (1973-2018) was queried for thyroid cancer only patients on July 2019 (n = 19,914). The Cox proportional hazard analysis with multivariable

Endocrinology, Diabetes and MetabolismMedicine
9
Review|4 citations·2018
Trends in statistical methods in articles published in Archives of Plastic Surgery between 2012 and 2017
Kyunghwa Han, Inkyung Jung
SJR Q2Archives of Plastic SurgeryOA

This review article presents an assessment of trends in statistical methods and an evaluation of their appropriateness in articles published in the Archives of Plastic Surgery (APS) from 2012 to 2017. We reviewed 388 original articles published in APS between 2012 and 2017. We categorized the articles that used statistical methods according to the type of statistical method, the number of statistical methods, and the type of statistical software used. We checked whether there were errors in the

Statistics, Probability and UncertaintyDecision Sciences
10
Article|4 citations·2015
Lesion stiffness measured by shear-wave elastography: Preoperative predictor of the histologic underestimation of US-guided core needle breast biopsy
Ah Young Park, Eun Ju Son, Jeong‐Ah Kim, Kyunghwa Han, Ji Hyun Youk
SJR Q1European Journal of RadiologyOA
Pathology and Forensic MedicineMedicine
11
Article|4 citations·2024
Gadoxetic acid-enhanced MRI for the detection of liver metastases from melanoma
Hyun Jung Chung, Nieun Seo, Kyunghwa Han, Heejin Bae, Yong Eun Chung, Min Kyu Jung, Mi‐Suk Park
SJR Q1PLoS ONEOA

PURPOSE: We aimed to assess imaging findings and detection sensitivity for melanoma liver metastases on gadoxetic acid-enhanced magnetic resonance imaging (MRI). METHODS: This retrospective study included patients with melanoma liver metastasis who underwent gadoxetic acid-enhanced MRI. Two abdominal radiologists independently evaluated signal characteristics of liver metastases on morphologic imaging (precontrast T1- and T2-weighted imaging), diffusion-weighted imaging (DWI), dynamic imaging, a

OphthalmologyMedicine
12
Article|3 citations·2011
A Study of Relation Between Yamanaka Hardness and Penetrometer Cone Index
Kyunghwa Han, Hee-Rae Cho, Sang-Ho Jeon, Yong-Seon Zhang
Korean Journal of Soil Science and FertilizerOA

산중식 경도 (YA, MPa)와 관입식 경도 Cone index (PE, MPa) 의 측정치를 토양특성이 다른 16개 지점에서 비교해 본 결과, 다음과 같은 회귀식을 구할 수 있었다. <TEX>$$PE=YA^*1.80+0.16(R^2=0.91^{***},N=16)$$</TEX> 이 회귀식의 적용범위는 산중식경도 0.1 MPa 이상 1.3 MPa 이하, mm 단위로 8.0 mm 이상 24.5 mm 이하였다. This study was conducted in order to compare between Yamanaka hardness (YA), hand-push type, and penetrometer cone index (PE), on 16 upland sites. Yamanaka hardness had significant correlation with penetrometer cone index. The regression equation was <TEX>$PE=1.80^*YA+0.

Soil ScienceAgricultural and Biological Sciences
13
Article|3 citations·2022
Comparison of Coronary Computed Tomography Angiography Image Quality With High-concentration and Low-concentration Contrast Agents
Dong Jin Im, Yun‐Hyeon Kim, Ki Seok Choo, Joon‐Won Kang, Jung Im Jung, Yoo-Dong Won, Hyo Rim Kim, Myung Hee Chung, Kyunghwa Han, Byoung Wook Choi
SJR Q2Journal of Thoracic Imaging

PURPOSE: To confirm that the image quality of coronary computed tomography (CT) angiography with a low tube voltage (80 to 100 kVp), iterative reconstruction, and low-concentration contrast agents (iodixanol 270 to 320 mgI/mL) was not inferior to that with conventional high tube voltage (120 kVp) and high-concentration contrast agent (iopamidol 370 mgI/mL). MATERIALS AND METHODS: This prospective, multicenter, noninferiority, randomized trial enrolled a total of 318 patients from 8 clinical site

Radiology, Nuclear Medicine and ImagingMedicine
14
Article|2 citations·2018
Trends in statistical methods in articles published in Archives of Plastic Surgery between 2012 and 2017
한경화, 정인경

This review article presents an assessment of trends in statistical methods and an evaluation of their appropriateness in articles published in the Archives of Plastic Surgery (APS) from 2012 to 2017. We reviewed 388 original articles published in APS between 2012 and 2017. We categorized the articles that used statistical methods according to the type of statistical method, the number of statistical methods, and the type of statistical software used. We checked whether there were errors in the

15
Article|2 citations·2018
Water-dispersible Clay Content in Summer Rainy Season for Korean Irrigated Rice Paddy Fields as Affected by Cultivated Years Using Heavy Agro-machinery and Soil Properties
Kyunghwa Han
SJR Q4Korean Journal of Environmental AgricultureOA

Water-dispersible Clay Content in Summer Rainy Season for Korean Irrigated Rice Paddy Fields as Affected by Cultivated Years Using Heavy Agro-machinery and Soil Properties-Agro-machinery,Exchangeable sodium percentage,Middleton’s method,Paddy soil,Water-dispersibility of clay

Ecology, Evolution, Behavior and SystematicsAgricultural and Biological Sciences

Research Areas

Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineEndocrinology, Diabetes and MetabolismGeneticsHepatologySurgery

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