Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Yeon-Joo Jeong"'
Autor:
You-Seon Song, In-Sook Lee, Kyoung-Hyup Nam, Dong-Hwan Kim, In-Ho Han, Hwangbo Lee, Yeon-Joo Jeong, Jeong-A Yeom
Publikováno v:
Medicina, Vol 58, Iss 9, p 1307 (2022)
Backgroundand Objectives: To date, imaging characterization of non-rheumatic retro-odontoid pseudotumors (NRROPs) has been lacking; therefore, NRROPs have been confused with atlantoaxial joint involvement of rheumatoid arthritis (RA). It is important
Externí odkaz:
https://doaj.org/article/3ffbd8925b75432f82c26bf9ba9f9b7b
Autor:
Jeong-A Yeom, Ki-Uk Kim, Minhee Hwang, Ji-Won Lee, Kun-Il Kim, You-Seon Song, In-Sook Lee, Yeon-Joo Jeong
Publikováno v:
Medicina, Vol 58, Iss 7, p 939 (2022)
Background and Objectives: Although reducing the radiation dose level is important during diagnostic computed tomography (CT) applications, effective image quality enhancement strategies are crucial to compensate for the degradation that is caused by
Externí odkaz:
https://doaj.org/article/c435d891a32d487f9ca79b4ad93efc1d
Publikováno v:
Medicina, Vol 58, Iss 6, p 791 (2022)
Background and Objectives: Glomus tumors are rare benign tumors. The majority of them affect the skin the most and are rarer in the trachea, where the glomus bodies may not be present. Only scarce reports of tracheal glomus tumors have been reported
Externí odkaz:
https://doaj.org/article/1c570b18b54641bbaf904c97ba05e2e7
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 5, Pp 883-901 (2024)
Various diseases can affect the esophagus. Endoscopic ultrasound (EUS), which provides precise information about the layers of the esophageal wall, is the primary approach used to investigate esophageal diseases. However, CT is one of the most impo
Externí odkaz:
https://doaj.org/article/b2a3f7a4012e45a2872dead3d84c97e5
Autor:
Jin Woo Kim, Taehwa Kim, Kun-Il Kim, Yeon Joo Jeong, Dohyung Kim, Dong Hoon Shin, Yun Seong Kim
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 5, Pp 954-959 (2024)
Immunoglobulin G4-related disease (IgG4-RD) is an immune-mediated condition characterized by mass-forming inflammation with a sclerosing pattern that can affect nearly any organ. However, involvement of the diaphragm in IgG4-RD is exceptionally rar
Externí odkaz:
https://doaj.org/article/28d54425dd1e4510b444981bd215280d
Publikováno v:
Journal of the Korean Society of Radiology, Vol 85, Iss 3, Pp 649-653 (2024)
A pulmonary artery periadventitial hematoma is a rare complication of a Stanford type A intramural hematoma. As the proximal ascending aorta and pulmonary artery share a common adventitial layer, extravasated blood from the intramural hematoma in t
Externí odkaz:
https://doaj.org/article/b011e77bbb7a4108ae7494ab270ff6bb
Publikováno v:
Medicina, Vol 60, Iss 8, p 1301 (2024)
Background and Objectives: This study’s objective was to investigate the influence of increased scan speed and pitch on image quality and nodule volumetry in patients who underwent ultra-low-dose chest computed tomography (CT). Material and Methods
Externí odkaz:
https://doaj.org/article/c1031258e6a345529ae3783ecd364d13
Autor:
Sangwon Baek, Yeon joo Jeong, Yun-Hyeon Kim, Jin Young Kim, Jin Hwan Kim, Eun Young Kim, Jae-Kwang Lim, Jungok Kim, Zero Kim, Kyunga Kim, Myung Jin Chung
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52134 (2024)
BackgroundRobust and accurate prediction of severity for patients with COVID-19 is crucial for patient triaging decisions. Many proposed models were prone to either high bias risk or low-to-moderate discrimination. Some also suffered from a lack of c
Externí odkaz:
https://doaj.org/article/3d993f54f2134e3fbc09ac41244396b2
Autor:
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e51951 (2023)
Externí odkaz:
https://doaj.org/article/2f488acb09e14f218d74a3e232776c35
Autor:
Hyun Woo Lee, Hyun Jun Yang, Hyungjin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon Ho Yoon, Soo-Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Lim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun-Hyeon Kim, Yeon Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42717 (2023)
BackgroundAn artificial intelligence (AI) model using chest radiography (CXR) may provide good performance in making prognoses for COVID-19. ObjectiveWe aimed to develop and validate a prediction model using CXR based on an AI model and clinical var
Externí odkaz:
https://doaj.org/article/6d9afc9176334d08a33aba54e963313e