Skip Navigation
Skip to contents
Filter

ARTICLE TYPE

more+
SELECT FILTER
 
Close

PUBLICATION DATE

14 results
Display

Erratum: Structural and Functional Features on Quantitative Chest Computed Tomography in the Korean Asian versus the White American Healthy Non-Smokers

Cho HB, Chae KJ, Jin GY, Choi J, Lin CL, Hoffman EA, Wenzel SE, Castro M, Fain SB, Jarjour NN, Schiebler , Barr RG, Hansel N, Cooper CB, Kleerup EC, Han MK, Woodruff P, Kanner RE, Bleecker E, Peters SP, Moore WC, Lee CH, Choi S, the National Heart, Lung and Blood Institute's SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) and Severe Asthma Research Program (SARP)

On page 1236, One of the corresponding author's institution was omitted. College of Medicine, Seoul National University, is added to the corresponding author's institutions.
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Concordance of Three International Guidelines for Thyroid Nodules Classified by Ultrasonography and Diagnostic Performance of Biopsy Criteria

Yim Y, Na DG, Ha EJ, Baek JH, Sung JY, Kim JH, Moon WJ

OBJECTIVE: To investigate the concordance of three international guidelines: the Korean Thyroid Association/Korean Society of Thyroid Radiology, American Thyroid Association, and American College of Radiology for thyroid nodules classified by...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Predictors of Catastrophic Outcome after Endovascular Thrombectomy in Elderly Patients with Acute Anterior Circulation Stroke

Ahn Y, Kim SK, Baek BH, Lee YY, Lee HJ, Yoon W

OBJECTIVE: Avoiding a catastrophic outcome may be a more realistic goal than achieving functional independence in the treatment of acute stroke in octogenarians. This study aimed to investigate predictors of...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Development and Validation of a Deep Learning System for Segmentation of Abdominal Muscle and Fat on Computed Tomography

Park HJ, Shin Y, Park J, Kim H, Lee IS, Seo DW, Huh J, Lee TY, Park T, Lee J, Kim KW

OBJECTIVE: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle and fat areas on computed tomography (CT) images. MATERIALS AND METHODS: A fully...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Feasibility of Simultaneous Multislice Acceleration Technique in Diffusion-Weighted Magnetic Resonance Imaging of the Rectum

Park JH, Seo N, Lim JS, Hahm J, Kim MJ

OBJECTIVE: To assess the feasibility of simultaneous multislice-accelerated diffusion-weighted imaging (SMS-DWI) of the rectum in comparison with conventional DWI (C-DWI) in rectal cancer patients. MATERIALS AND METHODS: This study included 65...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Using 2-mSv Appendiceal CT in Usual Practice for Adolescents and Young Adults: Willingness Survey of 579 Radiologists, Emergency Physicians, and Surgeons from 20 Hospitals

Kim HJ, Lee KH, Kim M, Park SB, Ko Y, LOCAT Group

OBJECTIVE: To survey care providers' willingness to use 2-mSv computed tomography (CT) in their usual practice for adolescents and young adults with suspected appendicitis. MATERIALS AND METHODS: An ethical committee approved...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Myocardial Coverage and Radiation Dose in Dynamic Myocardial Perfusion Imaging Using Third-Generation Dual-Source CT

Takafuji M, Kitagawa K, Ishida M, Goto Y, Nakamura S, Nagasawa N, Sakuma H

OBJECTIVE: Third-generation dual-source computed tomography (3rd-DSCT) allows dynamic myocardial CT perfusion imaging (dynamic CTP) with a 10.5-cm z-axis coverage. Although the increased radiation exposure associated with the 50% wider scan...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Neuroimaging in Randomized, Multi-Center Clinical Trials of Endovascular Treatment for Acute Ischemic Stroke: A Systematic Review

Suh CH, Jung SC, Kim B, Cho SJ, Woo DC, Oh WY, Lee JG, Kim KW

Appropriate use and analysis of neuroimaging techniques is an inevitable aspect of clinical trials for patients with acute ischemic stroke. Neuroimaging examinations were recently used to define the core eligibility...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Basics of Deep Learning: A Radiologist's Guide to Understanding Published Radiology Articles on Deep Learning

Do S, Song KD, Chung JW

Artificial intelligence has been applied to many industries, including medicine. Among the various techniques in artificial intelligence, deep learning has attained the highest popularity in medical imaging in recent years....
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Automated Breast Ultrasound System for Breast Cancer Evaluation: Diagnostic Performance of the Two-View Scan Technique in Women with Small Breasts

Kwon BR, Chang JM, Kim SY, Lee SH, Kim SY, Lee SM, Cho N, Moon WK

OBJECTIVE: To comparatively evaluate the scan coverage and diagnostic performance of the two-view scan technique (2-VST) of the automated breast ultrasound system (ABUS) versus the conventional three-view scan technique (3-VST)...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Automated Breast Ultrasound Screening for Dense Breasts

Kim SH, Kim HH, Moon WK

Mammography is the primary screening method for breast cancers. However, the sensitivity of mammographic screening is lower for dense breasts, which are an independent risk factor for breast cancers. Automated...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
History of the Asian Society of Abdominal Radiology

Choi BI, Kim MJ, Kim SH, Mori H, Minami M

The history and administrative system of the Asian Society of Abdominal Radiology (ASAR) are described briefly with a focus on its academic activity, including congresses and education. ASAR is one...
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Introduction of New Breast Section Editor

Choe YH

No abstract available.
CITED
export Copy
Close
SHARE
Twitter Facebook
Close
Thanks to the Reviewers of the Korean Journal of Radiology

Choe YH

No abstract available.
CITED
export Copy
Close
SHARE
Twitter Facebook
Close

Go to Top

Copyright © 2021 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr