Journal of the Korean Society of Radiology最新文献

CAD-RADS: A Standardized Reporting System for Coronary CT Angiography. CAD-RADS：冠状动脉CT血管造影标准化报告系统。

IF 0.6

Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2025.0122

Jin Hur, Yoo Jin Hong

{"title":"CAD-RADS: A Standardized Reporting System for Coronary CT Angiography.","authors":"Jin Hur, Yoo Jin Hong","doi":"10.3348/jksr.2025.0122","DOIUrl":"https://doi.org/10.3348/jksr.2025.0122","url":null,"abstract":"Coronary CT angiography (CTA) has been firmly established as a reliable and accurate noninvasive diagnostic modality for the evaluation of coronary artery disease (CAD). The Coronary Artery Disease Reporting and Data System (CAD-RADS) was developed to standardize the interpretation and reporting of coronary CTA findings, including the presence, extent, and composition of coronary atherosclerotic plaques. The CAD-RADS classification is a comprehensive system that summarizes patient-level imaging results based on the most severe coronary artery lesion, ranging from CAD-RADS 0 (no CAD evidence) to CAD-RADS 5 (complete occlusion of a coronary artery). This system also provides clinical management recommendations corresponding to each classification level, including suggestions for further diagnostic testing and therapeutic strategies. CAD-RADS has the potential to enhance communication between radiologists and referring clinicians, thereby facilitating more effective and consistent clinical decision-making. It also supports a more appropriate use of invasive coronary angiography by improving diagnostic precision.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"227-246"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cardiovascular Flow Imaging. 心血管血流成像。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2025.0124

Jongmin Lee

引用次数: 0

Cardiac CT for the Assessment of Ischemic Cardiomyopathy. 心脏CT对缺血性心肌病的评估。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2025.0125

Ji Won Lee, Eun-Ju Kang, Sung Ho Hwang, Sung Mok Kim

{"title":"Cardiac CT for the Assessment of Ischemic Cardiomyopathy.","authors":"Ji Won Lee, Eun-Ju Kang, Sung Ho Hwang, Sung Mok Kim","doi":"10.3348/jksr.2025.0125","DOIUrl":"https://doi.org/10.3348/jksr.2025.0125","url":null,"abstract":"Ischemic cardiomyopathy is a major cause of heart failure, and the accurate assessment of myocardial ischemia, infarction, and tissue characteristics is essential for therapeutic decision-making. Cardiac CT provides integrated structural and functional information by enabling coronary anatomical evaluation, as well as assessment of left ventricular volume, ejection fraction, and regional wall motion. CT myocardial perfusion imaging enables the evaluation of hemodynamically significant ischemia, whereas late iodine enhancement CT directly visualizes myocardial infarction and fibrosis. Dual-energy CT improves contrast resolution and quantitative analysis, supporting enhanced myocardial tissue characterization such as extracellular volume estimation. CT-derived fractional flow reserve complements the physiological assessment of coronary stenosis, and integrating these findings with perfusion, scarring, tissue composition, and functional parameters improves the differentiation between ischemic and non-ischemic cardiomyopathies. With these advances, cardiac CT has evolved into a multiparametric platform for myocardial evaluation. This review summarizes its role in ischemic cardiomyopathy.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"181-197"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing The Predictive Efficacy of Preoperative MRI Findings in Determining the Location of Dural Defects Associated with Spinal Extradural Arachnoid Cysts. 评估术前MRI检查在确定脊髓硬膜外蛛网膜囊肿相关硬脑膜缺损位置的预测效果。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-17 DOI: 10.3348/jksr.2025.0045

Youngjun Hur, Choong Guen Chee, Joon Woo Lee, Eugene Lee, Youngjune Kim

{"title":"Assessing The Predictive Efficacy of Preoperative MRI Findings in Determining the Location of Dural Defects Associated with Spinal Extradural Arachnoid Cysts.","authors":"Youngjun Hur, Choong Guen Chee, Joon Woo Lee, Eugene Lee, Youngjune Kim","doi":"10.3348/jksr.2025.0045","DOIUrl":"https://doi.org/10.3348/jksr.2025.0045","url":null,"abstract":"Purpose: To evaluate the diagnostic utility of four preoperative MRI findings in identifying the location of dural defects associated with spinal extradural arachnoid cyst (SEAC) to optimize surgical planning.Materials and methods: Fifteen patients with symptomatic SEAC who underwent surgery between 2003 and 2023 were analyzed retrospectively. The following preoperative MRI features were independently evaluated by two radiologists: the septation sign, extraforaminal extension with or without bone remodeling, the C-sign, and the flow-void sign. The accuracy of each finding in predicting the location of surgically confirmed dural defects was assessed.Results: The septation sign was observed in all patients (100%), with the accuracy of predicting the location of the dural defect ranging from 80% to 87%. Extraforaminal extension was also identified in all patients, with a similar accuracy of (80%-87%). The C-sign and flow-void signs were less frequently observed (40%-47% and 47%-93%, respectively), with accuracies in predicting the dural defect location ranging from 71%-83% and 71%-79%, respectively. Inter-reader agreement was highest for the C-sign and flow-void sign (100%), followed by extraforaminal extension (93%) and the septation sign (80%).Conclusion: Recognition of MRI features-the septation sign, extraforaminal extension with or without bone remodeling, the C-sign, and the flow-void sign-may aid in localizing dural defects. These imaging markers may support surgical planning for SEAC.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"339-352"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Key Considerations for Photon-Counting CT versus Energy-Integrating Detector CT in the Evaluation of Lung Cancer. 光子计数CT与能量积分检测器CT在肺癌评估中的关键考虑。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2026.0027

Gong Yong Jin

引用次数: 0

[Preface to the Special Issue on 'Pragmatic Cardiovascular Imaging']. [“实用心血管成像”特刊序言]。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2026.0035

Jongmin Lee

引用次数: 0

Interpreting a Thick Myocardium on Cardiac MR: A Practical Guide for Radiologists. 解读心脏MR厚心肌：放射科医生的实用指南。

IF 0.6

Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2025.0130

Moon Young Kim, Hyun Jung Koo, Eun Ju Chun, Whal Lee

{"title":"Interpreting a Thick Myocardium on Cardiac MR: A Practical Guide for Radiologists.","authors":"Moon Young Kim, Hyun Jung Koo, Eun Ju Chun, Whal Lee","doi":"10.3348/jksr.2025.0130","DOIUrl":"https://doi.org/10.3348/jksr.2025.0130","url":null,"abstract":"Cardiac MR (CMR) imaging plays a central role in the differential diagnosis of a thick myocardium by enabling a comprehensive assessment of myocardial morphology and tissue characteristics. Cine imaging is useful for assessing the distribution and symmetry of hypertrophy, ventricular cavity size, and focal morphological abnormalities. T1/T2 mapping and extracellular volume measurement provide a quantitative assessment of myocardial fibrosis, inflammation, and infiltration, whereas late gadolinium enhancement patterns offer qualitative visualization of disease-specific tissue injury. Strain analyses provide complementary information on early functional impairment. In this review, we propose a practical CMR-based approach for interpreting increased myocardial wall thickness using increased wall thickness as the initial imaging finding. We systematically distinguish true pathological hypertrophy from pressure-related or physiological hypertrophy, and pseudothickening. Hypertrophic cardiomyopathy, metabolic and systemic diseases, including cardiac amyloidosis, Fabry disease, uremic cardiomyopathy, and acute inflammatory phases of sarcoidosis and myocarditis, along with hypertensive heart disease, aortic stenosis, and athlete's heart, are reviewed with emphasis on their pathophysiology and characteristic CMR features. Common diagnostic pitfalls and a stepwise diagnostic algorithm applicable in routine clinical practice are also discussed.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"247-267"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062393/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Milestone in Hepatocellular Carcinoma Surveillance: Clinical Validation of the 2023 AASLD Guidance. 肝细胞癌监测的新里程碑：2023 AASLD指南的临床验证

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2026.0029

Hee Sun Park

引用次数: 0

[Development of a Computer-Aided Automatic-Detection Deep-Learning Algorithm to Identify a Urinary Stone in Low-Dose Non-Enhanced CT Images]. [在低剂量非增强CT图像中识别尿路结石的计算机辅助自动检测深度学习算法的发展]。

IF 0.6

Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-17 DOI: 10.3348/jksr.2024.0031

Nam Hoon Kim, Sung Bin Park, Chang-Won Jeong

{"title":"[Development of a Computer-Aided Automatic-Detection Deep-Learning Algorithm to Identify a Urinary Stone in Low-Dose Non-Enhanced CT Images].","authors":"Nam Hoon Kim, Sung Bin Park, Chang-Won Jeong","doi":"10.3348/jksr.2024.0031","DOIUrl":"https://doi.org/10.3348/jksr.2024.0031","url":null,"abstract":"Purpose: To develop a computer-aided automatic-detection (CAD) deep-learning algorithm to identify a urinary stone in low-dose non-enhanced CT images.Materials and methods: This retrospective study was performed at a single institution. Over a period of 14 months, the low-dose CT images of 486 patients with suspicious urinary stone disease were collected. The labeling of urinary stones, or not, in low-dose CT images was performed by an expert uroradiologist as a reference standard. We used labeled CT scans (axial 1,144, coronal 1,279, sagittal 765). We developed a CAD deep-learning algorithm using the YOLO v7 model. The data ratio for training, validation, and testing was set at 6:3:1. The performance of our proposed CAD deep-learning algorithm at identifying a urinary stone was analyzed using several parameters, such as the mean average performance (mAP), precision, recall, F1-score, and accuracy.Results: The mAP of our proposed algorithm was 95%. The accuracy of the CAD deep-learning algorithm for urinary stone detection was 93% and 92%, in the training and test sets, respectively.Conclusion: The proposed CAD algorithm developed using a deep-learning model has high performance at urinary stone detection in low-dose CT images.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"328-338"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062379/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role of Cardiac CT in the Evaluation of Valvular Heart Disease. 心脏CT在评价瓣膜性心脏病中的作用。

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Journal of the Korean Society of Radiology Pub Date : 2026-03-01 Epub Date: 2026-03-30 DOI: 10.3348/jksr.2026.0002

Jong Eun Lee, Dong Hyun Yang

{"title":"Role of Cardiac CT in the Evaluation of Valvular Heart Disease.","authors":"Jong Eun Lee, Dong Hyun Yang","doi":"10.3348/jksr.2026.0002","DOIUrl":"https://doi.org/10.3348/jksr.2026.0002","url":null,"abstract":"Cardiac CT has become an essential imaging modality in the diagnostic and therapeutic workflow for valvular heart disease (VHD), particularly in the era of transcatheter and minimally invasive valve therapies. The existing guidelines emphasize cardiac CT infrastructure and expertise as core requirements for both primary and comprehensive valve centers. Advances in CT acquisition and image reconstruction allow precise evaluation of valvular morphology, motion, and calcification, supporting accurate disease-severity grading and procedural planning. In comparison with echocardiography, cardiac CT provides superior spatial resolution and is less affected by acoustic shadowing from heavy calcification or prosthetic materials, making it especially valuable in complex or inconclusive cases. This review summarizes the CT scanning protocols and reconstruction strategies for valvular assessment and discusses CT-based evaluations of native-valve stenosis and regurgitation, prosthetic-valve dysfunction-including structural degeneration, thrombosis, and pannus-and infective endocarditis, highlighting the complementary role of CT alongside echocardiography in comprehensive VHD management.","PeriodicalId":101329,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"87 2","pages":"198-226"},"PeriodicalIF":0.6,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13062384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147680129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0