Jeong A Kim
Inje University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jeong A Kim.
Korean Journal of Radiology | 2015
Young Jin Kim; Hwan Seok Yong; Sung Mok Kim; Jeong A Kim; Dong Hyun Yang; Yoo Jin Hong
The development of cardiac CT has provided a non-invasive alternative to echocardiography, exercise electrocardiogram, and invasive angiography and cardiac CT continues to develop at an exponential speed even now. The appropriate use of cardiac CT may lead to improvements in the medical performances of physicians and can reduce medical costs which eventually contribute to better public health. However, until now, there has been no guideline regarding the appropriate use of cardiac CT in Korea. We intend to provide guidelines for the appropriate use of cardiac CT in heart diseases based on scientific data. The purpose of this guideline is to assist clinicians and other health professionals in the use of cardiac CT for diagnosis and treatment of heart diseases, especially in patients at high risk or suspected of heart disease.
Korean Journal of Radiology | 2017
Kyongmin Sarah Beck; Jeong A Kim; Yeon Hyeon Choe; Sim Kui Hian; John Hoe; Yoo Jin Hong; Sung Mok Kim; Tae Hoon Kim; Young Jin Kim; Yun Hyeon Kim; Sachio Kuribayashi; Jong-Min Lee; Lilian Leong; Tae-Hwan Lim; Bin Lu; Jae Hyung Park; Hajime Sakuma; Dong Hyun Yang; Tan Swee Yaw; Yung-Liang Wan; Zhaoqi Zhang; Shihua Zhao; Hwan Seok Yong
In 2010, the Asian Society of Cardiovascular Imaging (ASCI) provided recommendations for cardiac CT and MRI, and this document reflects an update of the 2010 ASCI appropriate use criteria (AUC). In 2016, the ASCI formed a new working group for revision of AUC for noninvasive cardiac imaging. A major change that we made in this document is the rating of various noninvasive tests (exercise electrocardiogram, echocardiography, positron emission tomography, single-photon emission computed tomography, radionuclide imaging, cardiac magnetic resonance, and cardiac computed tomography/angiography), compared side by side for their applications in various clinical scenarios. Ninety-five clinical scenarios were developed from eight selected pre-existing guidelines and classified into four sections as follows: 1) detection of coronary artery disease, symptomatic or asymptomatic; 2) cardiac evaluation in various clinical scenarios; 3) use of imaging modality according to prior testing; and 4) evaluation of cardiac structure and function. The clinical scenarios were scored by a separate rating committee on a scale of 1–9 to designate appropriate use, uncertain use, or inappropriate use according to a modified Delphi method. Overall, the AUC ratings for CT were higher than those of previous guidelines. These new AUC provide guidance for clinicians choosing among available testing modalities for various cardiac diseases and are also unique, given that most previous AUC for noninvasive imaging include only one imaging technique. As cardiac imaging is multimodal in nature, we believe that these AUC will be more useful for clinical decision making.
International Journal of Cardiovascular Imaging | 2018
Hyun Jung Koo; Joon-Won Kang; Jeong A Kim; Joon Bum Kim; Sung-Ho Jung; Suk Jung Choo; Cheol Hyun Chung; Jae Won Lee; Tae-Hwan Lim; Dong Hyun Yang
In patients with aortic regurgitation (AR), a precise preoperative assessment of aortic valve (AV) pathology is important if AV repair or sparing operation is an alternative option. The aim of this study was to assess the diagnostic accuracy of computed tomography (CT) for evaluating the AR mechanism compared with surgical inspection. 59 patients with AR who underwent AV surgery and preoperative cardiac CT were evaluated. AR mechanism was classified into type 1 (aortic dilatation or cusp perforation), type 2 (prolapsed cusp) and type 3 (cusp retraction). Agreement between CT and surgical inspection was obtained. Correlation between aortic regurgitant orifice (ARO) and imaging parameters were evaluated. On surgical inspection, type 1 AR was noted in 22 patients, type 2 in 16 and type 3 in 21. Agreement regarding the AR mechanism on CT was excellent (intra-class correlation coefficient, 0.81). At the patient level, the Cohen’s κ value for CT findings with surgical inspection was of 0.89. At the cusp level, moderate agreement was noted between CT and surgical inspection. In the per-cusp analysis, CT had a sensitivity of 72.6%, specificity of 85.1%, positive predictive value of 73.8% and negative predictive value of 84.3% for the detection of aortic cusp abnormality. The diameter, perimeter and area of aortic annulus had moderate correlation with ARO (r = 0.54–0.66, P < 0.001). CT-derived classification of AR mechanism showed excellent agreement with surgical inspection.
Anticancer Research | 2007
Jeong A Kim; Hyeyoung Park; Ji Young Im; Wahn Soo Choi; Hyung Sik Kim
Journal of Clinical Radiololgy | 2014
Young Jin Kim; Hwan Seok Yong; Sung Mok Kim; Jeong A Kim; Dong Hyun Yang; Yoo Jin Hong
Clinical Research in Cardiology | 2018
Hyun Jung Koo; Hojin Ha; Joon-Won Kang; Jeong A Kim; Jae-Kwan Song; Hwa Jung Kim; Tae-Hwan Lim; Dong Hyun Yang
Journal of Clinical Radiololgy | 2015
Yeonyee E. Yoon; Yoo Jin Hong; Hyung-Kwan Kim; Jeong A Kim; Jin Oh Na; Dong Hyun Yang; Young Jin Kim; Eui-Young Choi
T201404352.pdf | 2014
Yeonyee E. Yoon; Yoo Jin Hong; Eui-Young Choi; Young-Jin Kim; Dong Hyun Yang; Jin Oh Na; Jeong A Kim; Hyung Kwan Kim
Toxicology Letters | 2007
Hyung Sik Kim; Ju Young Ryu; Jung Whang; Hyeyoung Park; Ji Young Im; Jeong A Kim; Mee Young Ahn; Jaewon Lee
환경독성보건학회 심포지엄 및 학술대회 | 2005
Ena Lee; Mee Young Ahn; Hee-Jin Kim; Ju Young Ryu; Jeong A Kim; Hyeyoung Park; Ji-young Im; Hyung Sik Kim