서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 특별 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

일시: 2015년 10월 21일 수요일 오전 11시

연사: 윤정희 (서울대학교병원 영상의학과)

장소: 서울대학교 25동 411호

Title: Introduction to Radiogenomics: what is it?

Abstract

Profiling of gene expression in cancer tissue has been providing better understanding of pathologic conditions and pathways. Literatures have been investigating its role for diagnostic classification, prediction of response and prognostication. Indeed, as of now, small molecules and target agents have been administered on the basis of such genetic information.

Radiology has been investigating links between morphologic features and histopathology. Now, as cancer research based on gene has emerged, there has been growing attention to merge imaging phenotype and genotypes in radiologic societies. This attempt is often referred to as “radiogenomics”. The background of this attempt is based on the limitation of gene expression profiling. It is often based on invasive process, and has a risk of sampling bias, and tissue confirmation is often unrealistic depending on the site. Meanwhile, imaging is able to provide anatomic and morphologic information including overall disease spread pattern non-invasively. Thus, if genomic traits are successfully linked with imaging features, it would be clinically valuable and also contribute to patient-tailored medicine. However, this field is still in its infancy and it requires more attention of researchers in various fields and further investigation for validation.

In this seminar, I will give a brief introduction of radiogenomics and current status of radiology, including literature review on radiogenomics.

Educational background

College of Medicine -------- M.D.

Seoul National University

March 1999-Feb. 2005

Graduate school, College of Medicine ---------M.S

Seoul National University

March 2010-Feb. 2012

Graduate school, College of Medicine--------Ph.D.

Seoul National University

March 2012-Feb. 2014

Recent Publications

1. Yoon JH, Lee JM, Klotz E, Jeon JH, Han JK, Choi BI. Estimation of Hepatic Extracellular Volume Fraction using Multi-Phasic Liver CT for Hepatic Fibrosis Grading, Investigative Radiology 2015;50(4):290-6

2. Yoon JH, Lee JM, Suh KS, Lee KW, Yi NJ, Lee KB, Han JK, Choi BI.Combined Use of MR Fat Quantification and MR Elastography in Living Liver Donors: Can It Reduce the Need for Preoperative Liver Biopsy?Radiology 2015276(2):453-64

3. Yoon JH, Lee JM, Jun JH, Suh KS, Coulon P, Han JK, Choi BI. Feasibility of three-dimensional virtual surgical planning in living liver donors, Abdominal imaging 2015;40(3):510-20

4. Yoon JH, Lee JM, LeeES, BaekJ, LeeS, IwadateY, Han JK, Choi BI, Navigated three-dimensional T1-weighted gradient-echo sequence for gadoxetic acid liver magnetic resonance imaging in patients with limited breath-holding capacity. Abdominal imaging 2015;40(2):278-88

5. Yoon JH, Lee JM, Woo S, Hwang EJ, Hwang I, Choi W, Han JK, Choi BI. Switching Bipolar Hepatic Radiofrequency Ablation Using Internally Cooled-wet Electrodes: Comparison with Consecutive Monopolar and Switching Monopolar Modes.Br J Radiol 201588(1050):20140468

6. Yoon JH, Lee JM, Hur BY, J Baek, ShimH, HanJK, ChoiBI. Influence of the adaptive iterative dose reduction 3D algorithm on the detectability of low-contrast lesions and radiation dose repeatability in abdominal computed tomography: a phantom study.Abdominal Imaging 2015; 40(6): 1843-52

7. Yoon JH, Lee JM, Paek M, Han JK, Choi BI. Quantitative assessment of hepatic function: modified look-locker inversion recovery (MOLLI) sequence for T1 mapping on Gd-EOB-DTPA-enhanced liver MR imaging.European Radiology 2015, epub ahead of print (PMID: 26373756)

8. Woo H, Lee JY, Yoon JH, Kim W, Cho B, Choi BI. Comparison of the Reliability of Acoustic Radiation Force Impulse Imaging and Supersonic Shear Imaging in Measurement of Liver Stiffness.Radiology 2015, epub ahead of print (PMID 26147680)

9. Kim R, Lee JM, Shin CI, Lee ES, Yoon JH, Joo I, Kim SH, Hwang I, Han JK, Choi BI.Differentiation of intrahepatic mass-forming cholangiocarcinoma from hepatocellular carcinoma on gadoxetic acid-enhanced

liver MR imaging.European Radiology 2015, epub ahead of print (PMID: 26373763)

10. YoonJH,Lee JM, Yu MH, Kim EJ, Han JK, Choi BI. Fat suppressed, Three Dimensional T1-weighted Imaging Using a Dual-echo Dixon Technique and High-acceleration Parallel Acquisition for Gadoxetic Acid-enhanced Liver MR Imaging at 3T, Acta Radiologica 2014, epub ahead of print(PMID: 25480475)

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최