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Chae‐Seon Hong

Yonsei University · 医学

研究室紹介

Professor Chae-Seon Hong's research lab specializes in advancing radiation oncology through innovative treatment planning, patient-specific device development, and predictive modeling. The lab focuses on improving the precision and safety of radiation therapy for cancer patients, particularly in head and neck and breast cancers, by optimizing treatment delivery techniques such as IMRT and VMAT. Key research directions include the development of 3D-printed patient-specific devices—like tongue displacement devices—to reduce organ-at-risk doses, the creation of AI-driven tools for automated radiation dermatitis assessment, and the establishment of robust NTCP models for predicting treatment complications such as lymphedema. The lab integrates medical physics, radiation oncology, and biomedical engineering to enhance clinical outcomes and treatment efficiency.

radiation therapy3D printingNTCP modelingAI segmentationpatient-specific devices

Research Overview

Papers
117
Total Citations
944
Papers (5y)
45
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
45total
2021
2022
2023
2024
2025
Citations per year (5y)
191total
20212022202320242025

Selected Papers

15
1
Article|33 citations·2014
Dosimetric effects of multileaf collimator leaf width on intensity‐modulated radiotherapy for head and neck cancer
Chae‐Seon Hong, Sang Gyu Ju, Min Kyu Kim, Jung‐in Kim, Jin Man Kim, Tae‐Suk Suh, Youngyih Han, Yong Chan Ahn, Doo Ho Choi, Heerim Nam, Hee Chul Park
SJR Q1Medical Physics

PURPOSE: The authors evaluated the effects of multileaf collimator (MLC) leaf width (2.5 vs. 5 mm) on dosimetric parameters and delivery efficiencies of intensity-modulated radiation therapy (IMRT) and volumetric-modulated arc therapy (VMAT) for head and neck (H&N) cancers. METHODS: The authors employed two types of mock phantoms: large-sized head and neck (LH&N) and small-sized C-shape (C-shape) phantoms. Step-and-shoot IMRT (S&S_IMRT) and VMAT treatment plans were designed with 2.5- and 5.0-mm

RadiationPhysics and Astronomy
2
Article|23 citations·2019
Development of a semi-customized tongue displacement device using a 3D printer for head and neck IMRT
Chae‐Seon Hong, Dongryul Oh, Sang Gyu Ju, Yong Chan Ahn, Cho Hee Na, Dong Yeol Kwon, Cheol Chong Kim
SJR Q1Radiation OncologyOA

PURPOSE: To reduce radiation doses to the tongue, a patient-specific semi-customized tongue displacement device (SCTDD) was developed using a 3D printer (3DP) for head and neck (H&N) radiation therapy (RT). Dosimetric characteristics of the SCTDD were compared with those of a standard mouthpiece (SMP). MATERIALS AND METHODS: The SCTDD consists of three parts: a mouthpiece, connector with an immobilization mask, and tongue displacer, which can displace the tongue to the contralateral side of the

Pulmonary and Respiratory MedicineMedicine
3
Article|22 citations·2020
Detailed evaluation of Mobius3D dose calculation accuracy for volumetric-modulated arc therapy
Jihun Kim, Jihun Kim, Min Cheol Han, Eungman Lee, Kwangwoo Park, Kyung Hwan Chang, Dong Wook Kim, Jin Sung Kim, Jin Sung Kim, Chae‐Seon Hong
SJR Q1Physica MedicaOA
RadiationPhysics and Astronomy
4
Article|16 citations·2023
Development and Validation of a Normal Tissue Complication Probability Model for Lymphedema After Radiation Therapy in Breast Cancer
Ye-In Park, Jee Suk Chang, Heejoo Ko, Sang Hee Im, Jin Sung Kim, Hwa Kyung Byun, Yong Bae Kim, Wonguen Jung, Kyubo Kim, Chae‐Seon Hong
SJR Q1International Journal of Radiation Oncology*Biology*PhysicsOA

We first developed and validated the multivariable NTCP model for the lymphedema incidence in patients with breast cancer after radiation therapy. The multivariable NTCP model showed excellent performance and robustness in predicting lymphedema in both internal and completely independent external validations. The multivariable model for lymphedema prediction was robust and reliable for different treatment modalities and fractionation regimens.

OncologyMedicine
5
Article|15 citations·2022
A New Approach to Quantify and Grade Radiation Dermatitis Using Deep-Learning Segmentation in Skin Photographs
Y.I. Park, Seo Hee Choi, Chae‐Seon Hong, Minho Stephen Cho, Byoung Kwan Son, Min Cheol Han, Jihun Kim, H. Kim, Dong Wook Kim, D.W. Kim, J.S. Kim, J.S. Kim
SJR Q1Clinical OncologyOA

AimsObjective evaluation of radiation dermatitis is important for analysing the correlation between the severity of radiation dermatitis and dose distribution in clinical practice and for reliable reporting in clinical trials. We developed a novel radiation dermatitis segmentation system based on convolutional neural networks (CNNs) to consistently evaluate radiation dermatitis.Materials and methodsThe radiation dermatitis segmentation system is designed to segment the radiation dermatitis occur

Radiology, Nuclear Medicine and ImagingMedicine
6
Article|15 citations·2020
A Retrospective Dosimetric Analysis of the New ESTRO-ACROP Target Volume Delineation Guidelines for Postmastectomy Volumetric Modulated Arc Therapy After Implant-Based Immediate Breast Reconstruction
Kyung Hwan Chang, Jee Suk Chang, Kwangwoo Park, Seung Yeun Chung, Se Young Kim, Ryeong Hwang Park, Min Cheol Han, Jihun Kim, Jihun Kim, Hojin Kim, Ho Lee, Dong Wook Kim
SJR Q2Frontiers in OncologyOA

Purpose: The European Society of Radiation & Oncology and Advisory Committee on Radiation Oncology Practice (ESTRO-ACROP) presented new guidelines for clinical target volume (CTV) delineation in post-mastectomy radiation therapy (PMRT) after implant-based immediate breast reconstruction (IBR-i). This study evaluated the dosimetric characteristics, dosimetric accuracy, and delivery accuracy of these guidelines in volumetric modulated arc therapy (VMAT). Methods and Materials: This retrospecti

Cancer ResearchBiochemistry, Genetics and Molecular Biology
7
Article|13 citations·1999
Bildgebung des Thorax mit der Mehrschicht- Spiral-CT
Chae‐Seon Hong, B. von R�ckmann, Axel Stadie, MF Reiser, Christoph R. Becker, R. Eibel, U. Joseph Schoepf, R. Br�ning
Der Radiologe
Pulmonary and Respiratory MedicineMedicine
8
Article|12 citations·2015
Carotid-Sparing TomoHelical 3-Dimensional Conformal Radiotherapy for Early Glottic Cancer
Chae‐Seon Hong, Dongryul Oh, Sang Gyu Ju, Yong Chan Ahn, Jae Myoung Noh, K. Chung, Jin Sung Kim, Tae Suk Suh
SJR Q1Cancer Research and TreatmentOA

TH-3DCRT showed excellent carotid-sparing capability, while offering high efficiency and maintaining good PTV coverage.

RadiationPhysics and Astronomy
9
Article|11 citations·2020
Commissioning and clinical implementation of Mobius3D and MobiusFX: Experience on multiple linear accelerators
Jihun Kim, Min Cheol Han, Kwangwoo Park, Kyung Hwan Chang, Dong Wook Kim, Chae‐Seon Hong, Jin Sung Kim
SJR Q1Physica MedicaOA
RadiationPhysics and Astronomy
10
Article|10 citations·2013
Standard Criterion of VUS for ROC Surface
Chae‐Seon Hong, Eunkyoung Jung, D.G. Jung
Korean Journal of Applied Statistics

Abstract Many situations are classified into more than two categories in real world. In this work, we consider ROCsurface and VUS, which are graphical representation methods for classification models with three categories.The standard criteria of AUC for the probability of default based on Basel II is extended to the VUS for ROCsurface; therefore, the standardized criteria of VUS for the classification model is proposed. The ranges ofAUC, K-S and mean difference statistics corresponding to VUS value

Artificial IntelligenceComputer Science
11
Article|10 citations·2019
Feasibility of hybrid TomoHelical- and TomoDirect-based volumetric gradient matching technique for total body irradiation
Chae‐Seon Hong, Minjoo Kim, Jihun Kim, Kyung Hwan Chang, Kwangwoo Park, Dong Wook Kim, Min Cheol Han, Hong In Yoon, Jin Sung Kim, Ho Lee
SJR Q1Radiation OncologyOA

BACKGROUND: Tomotherapy-based total body irradiation (TBI) is performed using the head-first position (HFP) and feet-first position (FFP) due to treatment length exceeding the 135 cm limit. To reduce the dosimetric variation at the match lines, we propose and verify a volumetric gradient matching technique (VGMT) by combining TomoHelical (TH) and TomoDirect (TD) modes. METHODS: of solid water phantom. Planning target volume (PTV) was divided into upper, lower, and gradient volumes. The junction

RadiationPhysics and Astronomy
12
Article|9 citations·2022
A pilot study of a novel method to visualize three-dimensional dose distribution on skin surface images to evaluate radiation dermatitis
Ye-In Park, Seo Hee Choi, Chae‐Seon Hong, Min-Seok Cho, Junyoung Son, Ji Won Jang, Jihun Kim, Hojin Kim, Dong Wook Kim, Jin Sung Kim, Jin Sung Kim, Jin Sung Kim
SJR Q1Scientific ReportsOA

Predicting the radiation dose‒toxicity relationship is important for local tumor control and patients' quality of life. We developed a first intuitive evaluation system that directly matches the three-dimensional (3D) dose distribution with the skin surface image of patients with radiation dermatitis (RD) to predict RD in patients undergoing radiotherapy. Using an RGB-D camera, 82 3D skin surface images (3DSSIs) were acquired from 19 patients who underwent radiotherapy. 3DSSI data acquired inclu

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|8 citations·2017
Normal lung sparing Tomotherapy technique in stage III lung cancer
Chae‐Seon Hong, Sang Gyu Ju, Yong Chan Ahn, Gyu Sang Yoo, Jae Myoung Noh, Dongryul Oh, K. Chung, Hongryull Pyo, Kwanghyun Jo
SJR Q1Radiation OncologyOA

Radiation pneumonitis (RP) has been a challenging obstacle in treating stage III lung cancer patients. Beam angle optimization (BAO) technique for Tomotherapy was developed to reduce the normal lung dose for stage III non-small cell lung cancer (NSCLC). Comparative analyses on plan quality by 3 different Intensity-modulated radiation therapy (IMRT) methods with BAO were done. Ten consecutive stage IIIB NSCLC patients receiving linac-based static IMRT (L-IMRT) with total 66 Gy in 33 fractions to

Radiology, Nuclear Medicine and ImagingMedicine
14
Article|7 citations·2020
Statistical Analysis of Treatment Planning Parameters for Prediction of Delivery Quality Assurance Failure for Helical Tomotherapy
Kyung Hwan Chang, Young Hyun Lee, Byung Hun Park, Min Cheol Han, Jihun Kim, Jihun Kim, Hojin Kim, Min Seok Cho, Hyokyeong Kang, Ho Lee, Dong Wook Kim, Kwangwoo Park
SJR Q2Technology in Cancer Research & TreatmentOA

PURPOSE: This study aimed to investigate the parameters with a significant impact on delivery quality assurance (DQA) failure and analyze the planning parameters as possible predictors of DQA failure for helical tomotherapy. METHODS: In total, 212 patients who passed or failed DQA measurements were retrospectively included in this study. Brain (n = 43), head and neck (n = 37), spinal (n = 12), prostate (n = 36), rectal (n = 36), pelvis (n = 13), cranial spinal irradiation and a treatment field i

RadiationPhysics and Astronomy
15
Article|7 citations·2022
Performance Evaluation of Deformable Image Registration Algorithms Using Computed Tomography of Multiple Lung Metastases
Min Cheol Han, Jihun Kim, Chae‐Seon Hong, Kyung Hwan Chang, Su Chul Han, Kwangwoo Park, Dong Wook Kim, Hojin Kim, Jee Suk Chang, Jina Kim, Sunsuk Kye, Ryeong Hwang Park
SJR Q2Technology in Cancer Research & TreatmentOA

Purpose: Various deformable image registration (DIR) methods have been used to evaluate organ deformations in 4-dimensional computed tomography (4D CT) images scanned during the respiratory motions of a patient. This study assesses the performance of 10 DIR algorithms using 4D CT images of 5 patients with fiducial markers (FMs) implanted during the postoperative radiosurgery of multiple lung metastases. Methods: To evaluate DIR algorithms, 4D CT images of 5 patients were used, and ground-truths

RadiationPhysics and Astronomy

Research Areas

RadiationPulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingBiomedical EngineeringArtificial IntelligenceOncology

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