- Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology
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Eui Jin EJ, Goo JM, Yoon SH, Beck KS, Seo JB, Choi BW, Chung MJ, Park CM, Jin KN, Lee SM
- KMID: 2521721
- Korean J Radiol.
- 2021 Nov;22(11):1743-1748.
- doi: 10.3348/kjr.2021.0544
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- Emerging Trends in the Treatment of Advanced Hepatocellular Carcinoma: A Radiological Perspective
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Kim GH, Kim JH, Kim PH, Chu HH, Gwon DI, Ko HK
- KMID: 2521757
- Korean J Radiol.
- 2021 Nov;22(11):1822-1833.
- doi: 10.3348/kjr.2021.0229
This is a narrative review of various treatment modalities for advanced hepatocellular carcinoma (HCC), with a focus on recent updates in radiological treatments, as well as novel treatment concepts related... -
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- Pre- and Post-Treatment Imaging of Primary Central Nervous System Tumors in the Molecular and Genetic Era
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Ahn SS, Cha S
- KMID: 2521761
- Korean J Radiol.
- 2021 Nov;22(11):1858-1874.
- doi: 10.3348/kjr.2020.1450
Recent advances in the molecular and genetic characterization of central nervous system (CNS) tumors have ushered in a new era of tumor classification, diagnosis, and prognostic assessment. In this emerging... -
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- Double Outlet Right Ventricle: In-Depth Anatomic Review Using Three-Dimensional Cardiac CT Data
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Goo HW
- KMID: 2521764
- Korean J Radiol.
- 2021 Nov;22(11):1894-1908.
- doi: 10.3348/kjr.2021.0248
Double outlet right ventricle (DORV) is a relatively common congenital heart disease in which both great arteries are connected completely or predominantly to the morphologic RV. Unlike other congenital heart... -
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- Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts
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Lee JG, Kim H, Kang H, Koo HJ, Kang JW, Kim YH, Yang DH
- KMID: 2521752
- Korean J Radiol.
- 2021 Nov;22(11):1764-1776.
- doi: 10.3348/kjr.2021.0148
Objective: This study aimed to validate a deep learning-based fully automatic calcium scoring (coronary artery calcium [CAC]_auto) system using previously published cardiac computed tomography (CT) cohort data with the manually... -
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- Prognosis after Curative Resection of Single Hepatocellular Carcinoma with A Focus on LI-RADS Targetoid Appearance on Preoperative Gadoxetic Acid-Enhanced MRI
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Moon JY, Min JH, Kim YK, Cha D, Hwang JA, Ko SE, Choi SY, Yun EJ, Kim SW, Won HJ
- KMID: 2521754
- Korean J Radiol.
- 2021 Nov;22(11):1786-1796.
- doi: 10.3348/kjr.2020.1428
Objective: To evaluate the prognostic implications of preoperative magnetic resonance imaging (MRI) features of hepatocellular carcinoma (HCC) with a focus on those with targetoid appearance based on the Liver Imaging... -
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- Percutaneous Thrombin Injection Based on Computational Fluid Dynamics of Femoral Artery Pseudoaneurysms
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Kim HH, Kim KW, Lee C, Choi YH, Kim MU, Baba Y
- KMID: 2521758
- Korean J Radiol.
- 2021 Nov;22(11):1834-1840.
- doi: 10.3348/kjr.2020.1340
Objective: To analyze the computational fluid dynamics (CFD) of femoral artery pseudoaneurysm (FAP), identify a suitable location and timing for percutaneous thrombin injection (PTI) based on this analysis, and report... -
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- Neuroimaging Findings in Patients with COVID-19: A Systematic Review and Meta-Analysis
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Kim PH, Kim M, Suh CH, Chung SR, Park JE, Kim SC, Choi YJ, Lee JH, Kim HS, Baek JH, Choi CG, Kim SJ
- KMID: 2521762
- Korean J Radiol.
- 2021 Nov;22(11):1875-1885.
- doi: 10.3348/kjr.2021.0127
Objective: Central nervous system involvement in coronavirus disease 2019 (COVID-19) has been increasingly reported. We performed a systematic review and meta-analysis to evaluate the incidence of radiologically demonstrated neurologic complications... -
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- Pearls and Potential Pitfalls for Correct Diagnosis of Ovarian Cystadenofibroma in MRI: A Pictorial Essay
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Avesani G, Caliolo G, Gui B, Petta F, Panico C, Manna VL, Moro F, Testa AC, Scambia G, Manfredi R
- KMID: 2521756
- Korean J Radiol.
- 2021 Nov;22(11):1809-1821.
- doi: 10.3348/kjr.2020.1312
Ovarian cystadenofibroma is a benign ovarian tumor that is characterized by a consistent percentage of masses, which remain indeterminate in ultrasonography and require magnetic resonance (MR) investigation; they may mimic... -
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- CT Assessment of Myocardial Perfusion and Fractional Flow Reserve in Coronary Artery Disease: A Review of Current Clinical Evidence and Recent Developments
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Yun CH, Hung CL, Wen MS, Wan YL, So A
- KMID: 2521722
- Korean J Radiol.
- 2021 Nov;22(11):1749-1763.
- doi: 10.3348/kjr.2020.1277
Coronary computed tomography angiography (CCTA) is routinely used for anatomical assessment of coronary artery disease (CAD). However, invasive measurement of fractional flow reserve (FFR) is the current gold standard for... -
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- Quantitative MRI Assessment of Pancreatic Steatosis Using Proton Density Fat Fraction in Pediatric Obesity
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Kim J, Albakheet SS, Han K, Yoon H, Lee MJ, Koh H, Kim S, Suh J, Han SJ, Ihn K, Shin HJ
- KMID: 2521763
- Korean J Radiol.
- 2021 Nov;22(11):1886-1893.
- doi: 10.3348/kjr.2020.1343
Objective: To assess the feasibility of quantitatively assessing pancreatic steatosis using magnetic resonance imaging (MRI) and its correlation with obesity and metabolic risk factors in pediatric patients. Materials and Methods: Pediatric... -
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- Volumetric CT Texture Analysis of Intrahepatic Mass-Forming Cholangiocarcinoma for the Prediction of Postoperative Outcomes: Fully Automatic Tumor Segmentation Versus Semi-Automatic Segmentation
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Park S, Lee JM, Park J, Lee J, Bae JS, Kim JH, Joo I
- KMID: 2521755
- Korean J Radiol.
- 2021 Nov;22(11):1797-1808.
- doi: 10.3348/kjr.2021.0055
Objective: To determine whether volumetric CT texture analysis (CTTA) using fully automatic tumor segmentation can help predict recurrence-free survival (RFS) in patients with intrahepatic mass-forming cholangiocarcinomas (IMCCs) after surgical resection. Materials... -
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- Effects of Contrast Phases on Automated Measurements of Muscle Quantity and Quality Using CT
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Kim DW, Kim KW, Ko Y, Park T, Lee J, Lee JB, Ha J, Ahn H, Sung YS, Kim HK
- KMID: 2521765
- Korean J Radiol.
- 2021 Nov;22(11):1909-1917.
- doi: 10.3348/kjr.2021.0105
Objective: Muscle quantity and quality can be measured with an automated system on CT. However, the effects of contrast phases on the muscle measurements have not been established, which we... -
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- Deep Learning-Based Algorithm for the Detection and Characterization of MRI Safety of Cardiac Implantable Electronic Devices on Chest Radiographs
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Kim UH, Kim MY, Park EA, Lee W, Lim WH, Kim HL, Oh S, Jin KN
- KMID: 2521766
- Korean J Radiol.
- 2021 Nov;22(11):1918-1928.
- doi: 10.3348/kjr.2021.0201
Objective: With the recent development of various MRI-conditional cardiac implantable electronic devices (CIEDs), the accurate identification and characterization of CIEDs have become critical when performing MRI in patients with CIEDs.... -
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- Quantitative Evaluation of Gastrocnemius Medialis Stiffness During Passive Stretching Using Shear Wave Elastography in Patients with Parkinson’s Disease: A Prospective Preliminary Study
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Yin L, Du L, Li Y, Xiao Y, Zhang S, Ma H, He W
- KMID: 2521759
- Korean J Radiol.
- 2021 Nov;22(11):1841-1849.
- doi: 10.3348/kjr.2020.1338
Objective: To prospectively investigate the feasibility of shear wave elastography (SWE) as a new quantitative and objective method for evaluating the stiffness of the gastrocnemius medialis (GM) muscle during passive... -
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- Accurate Measurement of Agatston Score Using kVp-Independent Reconstruction Algorithm for Ultra-High-Pitch Sn150 kVp CT
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Hu X, Tao X, Zhang Y, Niu Z, Zhang Y, Allmendinger T, Kuang Y, Chen B
- KMID: 2521753
- Korean J Radiol.
- 2021 Nov;22(11):1777-1785.
- doi: 10.3348/kjr.2021.0050
Objective: To investigate the accuracy of the Agatston score obtained with the ultra-high-pitch (UHP) acquisition mode using tin-filter spectral shaping (Sn150 kVp) and a kVp-independent reconstruction algorithm to reduce the... -
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- Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT
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Yeoh H, Hong SH, Ahn C, Choi JY, Chae HD, Yoo HJ, Kim JH
- KMID: 2521760
- Korean J Radiol.
- 2021 Nov;22(11):1850-1857.
- doi: 10.3348/kjr.2021.0140
Objective: The purpose of this study was to assess whether a deep learning (DL) algorithm could enable simultaneous noise reduction and edge sharpening in low-dose lumbar spine CT. Materials and Methods:... -
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