Mycobacterium bovis BCG osteitis, a rare complication of BCG vaccination. The aims of this study were to evaluate the clinical and imaging characteristics of BCG osteitis. Read More

Meeting name: SPR 2019 Annual Meeting & Postgraduate Course , 2019

Authors: Cheon Jung-eun, Choi Eun Hwa, Yoo Won Joon, Choi Young Hun, Kim In-one, Kim Woo Sun

Keywords: BCG vaccine: adverse reaction, ostemyelitis, infant

The use of pediatric abdominal CT has been increasing rapidly. However increased radiation exposure is a public health concern for children because of children are more sensitive to radiation than adults. The purpose of this study is to estimate which patient-related factors affect radiation dose, to pediatric patients undergoing abdominal CT Read More

Meeting name: IPR 2016 Conjoint Meeting & Exhibition , 2016

Authors: Park Ji Eun, Choi Young Hun, Cheon Jung-eun, Kim Woo Sun, Kim In-one, Cho Hyun Suk

Keywords: Radiation dose, Abdominal CT

Brain MRI in children is often limited by motion artifacts. Radial k-space sampling techniques have been shown to reduce motion artifacts. To compare a contrast-enhanced radial volumetric interpolated brain examination (radial VIBE) sequence with a magnetization-prepared rapid acquisition gradient echo (MP-RAGE) sequence in pediatric brain MR imaging. Read More

Meeting name: IPR 2016 Conjoint Meeting & Exhibition , 2016

Authors: Park Ji Eun, Choi Young Hun, Cheon Jung-eun, Kim Woo Sun, Kim In-one, Cho Hyun Suk

Keywords: VIBE, radial VIBE, MPRAGE, Brain MRI

The recent advances of the lymphatic intervention, has prompted progress in imaging of the lymphatic system. We would describe the clinical usefulness of the dynamic contrast-enhanced (DCE) magnetic resonance (MR) lymphangiography for imaging of the lymphatic system in pediatric patients. Read More

Meeting name: SPR 2019 Annual Meeting & Postgraduate Course , 2019

Authors: Lee Seunghyun, Hur Saebeom, Choi Young Hun, Cho Yeon Jin, Cheon Jung-eun, Kim Woo Sun, Kim In-one

Keywords: lymphangiography, MRI, dynamic contrast-enhanced

The purpose of this study was to develop a convolutional neural network (CNN)-based deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on conventional radiography and to assess its feasibility and diagnostic performance. Read More

Meeting name: SPR 2020 Annual Meeting & Postgraduate Course , 2020

Authors: Cho Yeon Jin, Park Hyoung Suk, Jeon Kiwan, Choi Young Hun, Choi Gayoung, Lee Seul Bi, Lee Seunghyun, Cheon Jung-eun, Kim Woo Sun, Ryu Young Jin, Hwang Jae-yeon

Keywords: Artificial intelligence, Developmental dysplasia of the hip, Conventional radiography