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Sungheon Kim

Yonsei University · 医学

研究室紹介

Professor Sungheon Kim's research lab specializes in advanced medical imaging techniques for cancer diagnosis and treatment monitoring, with a focus on diffusion-weighted and dynamic contrast-enhanced MRI in head and neck squamous cell carcinomas (HNSCC). The lab investigates quantitative imaging biomarkers such as apparent diffusion coefficient (ADC), perfusion parameters, and intravoxel incoherent motion (IVIM) to predict treatment response and assess tumor microenvironment. Key research directions include understanding the physiological basis of diffusion and perfusion signals, modeling transcytolemmal water exchange, and exploring noninvasive assessment of interstitial fluid pressure as a predictor of therapy efficacy. The lab integrates preclinical and clinical studies to translate imaging biomarkers into clinical decision support tools.

diffusion MRIDCE-MRItreatment response predictiontumor microenvironmentimaging biomarkers

Research Overview

Papers
213
Total Citations
7,861
Papers (5y)
62
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
62total
2022
2023
2024
2025
2026
Citations per year (5y)
153total
20222023202420252026

Selected Papers

15
1
Article|392 citations·2009
Diffusion-Weighted Magnetic Resonance Imaging for Predicting and Detecting Early Response to Chemoradiation Therapy of Squamous Cell Carcinomas of the Head and Neck
Sungheon Kim, Laurie A. Loevner, Harry Quon, Eric J. Sherman, Gregory S. Weinstein, Alex Kilger, Harish Poptani
SJR Q1Clinical Cancer ResearchOA

PURPOSE: The aim of this study was to investigate the utility of apparent diffusion coefficient (ADC) for prediction and early detection of treatment response in head and neck squamous cell carcinomas (HNSCC). EXPERIMENTAL DESIGN: Diffusion-weighted magnetic resonance imaging studies were performed on 40 patients with newly diagnosed HNSCC before, during, and after the end of chemoradiation therapy. Analysis was done on data from 33 patients after exclusion of 7 patients that had incomplete data

OtorhinolaryngologyMedicine
2
Article|197 citations·2009
Prediction of Response to Chemoradiation Therapy in Squamous Cell Carcinomas of the Head and Neck Using Dynamic Contrast-Enhanced MR Imaging
Sungheon Kim, Laurie A. Loevner, Harry Quon, Alex Kilger, Eric J. Sherman, G S Weinstein, Ara A. Chalian, Harish Poptani
SJR Q1American Journal of NeuroradiologyOA

These results indicate that pretreatment DCE-MR imaging can be potentially used for prediction of response to chemoradiation therapy of HNSCC.

Radiology, Nuclear Medicine and ImagingMedicine
3
Article|162 citations·2008
Differentiation between glioblastomas and solitary brain metastases using diffusion tensor imaging
Sumei Wang, Sungheon Kim, Sanjeev Chawla, Ronald L. Wolf, Weiguo Zhang, Donald M. O’Rourke, Kevin Judy, Elias R. Melhem, Harish Poptani
SJR Q1NeuroImageOA
Radiology, Nuclear Medicine and ImagingMedicine
4
Article|147 citations·2016
Evaluation of a known breast cancer using an abbreviated breast MRI protocol: Correlation of imaging characteristics and pathology with lesion detection and conspicuity
Laura Heacock, Amy N. Melsaether, Samantha L. Heller, Yiming Gao, Kristine Pysarenko, James S. Babb, Sungheon Kim, Linda Moy
SJR Q1European Journal of Radiology
Radiology, Nuclear Medicine and ImagingMedicine
5
Article|85 citations·2005
Dependence on diffusion time of apparent diffusion tensor of ex vivo calf tongue and heart
Sungheon Kim, Gloria Chi‐Fishman, Alan Barnett, Carlo Pierpaoli
SJR Q1Magnetic Resonance in Medicine

The time dependence of the apparent diffusion tensor of ex vivo calf heart and tongue was measured for diffusion times (tau(d)) between 32 and 810 ms. The results showed evidence of restricted diffusion in the muscle tissues of both organs. In regions where the myofibers are parallel, the largest eigenvalue (lambda(1)) of the diffusion tensor remained the same for all diffusion times measured, while the other eigenvalues (lambda(2), lambda(3)) decreased by 29-36% between tau(d) = 32 ms and tau(d

Radiology, Nuclear Medicine and ImagingMedicine
6
Article|72 citations·2007
Transcytolemmal water exchange in pharmacokinetic analysis of dynamic contrast‐enhanced MRI data in squamous cell carcinoma of the head and neck
Sungheon Kim, Harry Quon, Laurie A. Loevner, Mark Rosen, Lawrence Dougherty, Alex Kilger, Jerry D. Glickson, Harish Poptani
SJR Q1Journal of Magnetic Resonance Imaging

PURPOSE: To investigate the effect of transcytolemmal water exchange on the dynamic contrast-enhanced (DCE) T(1)-weighted MRI of human squamous cell carcinomas of the head and neck (HNSCC). MATERIALS AND METHODS: Nine patients with HNSCC nodal metastasis underwent pretreatment DCE-MRI with a temporal resolution of 2.5 seconds and a spatial resolution of 1 mm x 1 mm x 5 mm at 1.5T. We used two pharmacokinetic models for data analysis: generalized kinetic model (GKM) without considering transcytol

Radiology, Nuclear Medicine and ImagingMedicine
7
Article|49 citations·2007
Diffusion tensor MRI in rat models of invasive and well‐demarcated brain tumors
Sungheon Kim, Stephen Pickup, Oliver Hsu, Harish Poptani
SJR Q1NMR in Biomedicine

Diffusion tensor imaging (DTI) and its metrics, such as mean diffusivity (MD) and fractional anisotropy (FA), have been used to detect the extent of brain tumors and understand tumor growth and its influence on the surrounding tissue. However, there are conflicting reports on how DTI metrics can be used for tumor diagnosis. The physiological interpretation of these metrics in terms of tumor growth is also not clear. The objective of this study was to investigate the DTI parameters in two rat bra

Radiology, Nuclear Medicine and ImagingMedicine
8
Article|46 citations·2011
Interstitial fluid pressure correlates with intravoxel incoherent motion imaging metrics in a mouse mammary carcinoma model
Sungheon Kim, Lindsey Decarlo, Gene Y. Cho, Jens H. Jensen, Daniel K. Sodickson, Linda Moy, Silvia C. Formenti, Robert J. Schneider, Judith D. Goldberg, Eric E. Sigmund
SJR Q1NMR in Biomedicine

The effective delivery of a therapeutic drug to the core of a tumor is often impeded by physiological barriers, such as the interstitial fluid pressure (IFP). There are a number of therapies that can decrease IFP and induce tumor vascular normalization. However, a lack of a noninvasive means to measure IFP hinders the utilization of such a window of opportunity for the maximization of the treatment response. Thus, the purpose of this study was to investigate the feasibility of using intravoxel i

Radiology, Nuclear Medicine and ImagingMedicine
9
Article|44 citations·2021
Measurement of cellular‐interstitial water exchange time in tumors based on diffusion‐time‐dependent diffusional kurtosis imaging
Jin Zhang, Gregory Lemberskiy, Linda Moy, Els Fieremans, Dmitry S. Novikov, Sungheon Kim
SJR Q1NMR in BiomedicineOA

Purpose To assess the feasibility of using diffusion‐time‐dependent diffusional kurtosis imaging (tDKI) to measure cellular‐interstitial water exchange time ( τ ex ) in tumors, both in animals and in humans. Methods Preclinical tDKI studies at 7 T were performed with the GL261 glioma model and the 4T1 mammary tumor model injected into the mouse brain. Clinical studies were performed at 3 T with women who had biopsy‐proven invasive ductal carcinoma. tDKI measurement was conducted using a diffusio

Radiology, Nuclear Medicine and ImagingMedicine
10
Article|42 citations·2015
Influence of temporal regularization and radial undersampling factor on compressed sensing reconstruction in dynamic contrast enhanced MRI of the breast
Sungheon Kim, Li Feng, Robert Grimm, Melanie Freed, Kai Tobias Block, Daniel K. Sodickson, Linda Moy, Ricardo Otazo
SJR Q1Journal of Magnetic Resonance ImagingOA

BACKGROUND: To evaluate the influence of temporal sparsity regularization and radial undersampling on compressed sensing reconstruction of dynamic contrast-enhanced (DCE) MRI, using the iterative Golden-angle RAdial Sparse Parallel (iGRASP) MRI technique in the setting of breast cancer evaluation. METHODS: DCE-MRI examinations of the breast (n = 7) were conducted using iGRASP at 3 Tesla. Images were reconstructed with five different radial undersampling schemes corresponding to temporal resoluti

Radiology, Nuclear Medicine and ImagingMedicine
11
Review|33 citations·2016
Potential Role of PET/MRI for Imaging Metastatic Lymph Nodes in Head and Neck Cancer
Sungheon Kim, Kent Friedman, Sohil H. Patel, Mari Hagiwara
SJR Q1American Journal of RoentgenologyOA

OBJECTIVE: This article explores recent developments in PET and MRI, separately or combined, for assessing metastatic lymph nodes in patients with head and neck cancer. CONCLUSION: The synergistic role of PET and MRI for imaging metastatic lymph nodes has not been fully explored. To facilitate the understanding of the areas that need further investigation, we discuss potential mechanisms and evidence reported so far, as well as future directions and challenges for continued development and clini

OtorhinolaryngologyMedicine
12
Article|30 citations·2008
Enhanced delineation of white matter structures of the fixed mouse brain using Gd‐DTPA in microscopic MRI
Sungheon Kim, Stephen Pickup, Oliver Hsu, Harish Poptani
SJR Q1NMR in Biomedicine

The purpose of this study was to investigate the effect of gadolinium (III) diethyltriaminepenta-acetic acid (Gd-DTPA) mixed with a fixative on the image contrast between the white and gray matter of the perfusion-fixed mouse brain. A series of microscopic MRI (microMRI) studies using different concentrations of Gd-DTPA were performed at multiple time points to determine the optimal Gd-DTPA concentration and fixation time necessary to maximize the contrast-to-noise ratio between the white and gr

Radiology, Nuclear Medicine and ImagingMedicine
13
Article|28 citations·2020
Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous 18F-FDG-PET and MRI
Jenny Chen, Mari Hagiwara, Babak Givi, Brian L. Schmidt, Liu C, Qi Chen, Jean Logan, Artem Mikheev, Henry Rusinek, Sungheon Kim
SJR Q1Scientific ReportsOA

Abstract In this study, we investigate the feasibility of using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI), diffusion weighted imaging (DWI), and dynamic positron emission tomography (PET) for detection of metastatic lymph nodes in head and neck squamous cell carcinoma (HNSCC) cases. Twenty HNSCC patients scheduled for lymph node dissection underwent DCE-MRI, dynamic PET, and DWI using a PET-MR scanner within one week prior to their planned surgery. During surgery, resected n

Orthopedics and Sports MedicineMedicine
14
Article|28 citations·2016
Separation of benign and malignant breast lesions using dynamic contrast enhanced MRI in a biopsy cohort
Sungheon Kim, Melanie Freed, Ana Paula Klautau Leite, Jin Zhang, Claudia R. Seuss, Linda Moy
SJR Q1Journal of Magnetic Resonance Imaging

Purpose To assess the diagnostic utility of contrast kinetic analysis for breast lesions and background parenchyma of women undergoing MRI‐guided biopsies, for whom standard clinical analysis had failed to separate benign and malignant lesions. Materials and Methods This study included 115 women who had indeterminate lesions based on routine diagnostic breast MRI exams and underwent an MRI (3 Tesla) ‐guided biopsy of one or more lesions suspicious for breast cancer. Breast dynamic contrast‐enhan

Radiology, Nuclear Medicine and ImagingMedicine
15
Article|28 citations·2018
Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice
Kerryanne Veronica Winters, Olivier Reynaud, Dmitry S. Novikov, Els Fieremans, Sungheon Kim
SJR Q1Magnetic Resonance in Medicine

Purpose To measure the microstructural changes during skeletal muscle growth and progressive pathologies using the random permeable model with diffusion MRI, and compare findings to conventional imaging modalities such as three‐point Dixon and T 2 imaging. Methods In vivo and ex vivo DTI experiments with multiple diffusion times (20‐700 ms) were completed on wild‐type ( n = 22) and muscle‐dystrophic mdx mice ( n = 8) at various developmental time points. The DTI data were analyzed with the rando

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Radiology, Nuclear Medicine and ImagingElectrical and Electronic EngineeringOtorhinolaryngologyArtificial IntelligenceCognitive NeurosciencePulmonary and Respiratory Medicine

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