{"title":"South Korea's Artificial Intelligence Framework Act: A Guide for Healthcare Professionals.","authors":"Seong Ho Park, Won Bok Lee, Dong Hyun Yang","doi":"10.3348/kjr.2026.0115","DOIUrl":"https://doi.org/10.3348/kjr.2026.0115","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147348724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Refining the Analytical Framework Linking CT Utilization and Pneumonia Incidence in Older Adults.","authors":"Man Sun, Dan Zang, Jun Chen","doi":"10.3348/kjr.2025.1822","DOIUrl":"https://doi.org/10.3348/kjr.2025.1822","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response to \"Refining the Analytical Framework Linking CT Utilization and Pneumonia Incidence in Older Adults\".","authors":"Eui Jin Hwang","doi":"10.3348/kjr.2025.1922","DOIUrl":"https://doi.org/10.3348/kjr.2025.1922","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":5.3,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146113534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-01Epub Date: 2026-01-02DOI: 10.3348/kjr.2025.0966
Shin Mei Chan, Vitor F Martins, Kathleen Marsh, Kang Wang, Jake T Weeks, Aiguo Han, Meng Yin, Kathryn J Fowler, Claude B Sirlin, Cheng William Hong
Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease, is the fastest-growing cause of chronic liver disease worldwide, affecting approximately 30% of the global population. Imaging is vital for detecting, quantifying, and monitoring hepatic steatosis-the defining abnormality of MASLD-and subsequent fibrosis-the key determinant of liver-related outcomes. This review summarizes the principles, clinical usage, efficacy, and advancements in various imaging modalities for the noninvasive assessment of hepatic steatosis and fibrosis, with an emphasis on ultrasound, CT, and MRI. Additionally, this review explores the evolving landscape of MASLD diagnostic approaches, including machine-learning techniques, opportunistic screening, standardized imaging guidelines, and therapies, emphasizing the pivotal role that radiologists can play in shaping these developments.
{"title":"Imaging Evaluation for Steatotic Liver Disease.","authors":"Shin Mei Chan, Vitor F Martins, Kathleen Marsh, Kang Wang, Jake T Weeks, Aiguo Han, Meng Yin, Kathryn J Fowler, Claude B Sirlin, Cheng William Hong","doi":"10.3348/kjr.2025.0966","DOIUrl":"10.3348/kjr.2025.0966","url":null,"abstract":"<p><p>Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease, is the fastest-growing cause of chronic liver disease worldwide, affecting approximately 30% of the global population. Imaging is vital for detecting, quantifying, and monitoring hepatic steatosis-the defining abnormality of MASLD-and subsequent fibrosis-the key determinant of liver-related outcomes. This review summarizes the principles, clinical usage, efficacy, and advancements in various imaging modalities for the noninvasive assessment of hepatic steatosis and fibrosis, with an emphasis on ultrasound, CT, and MRI. Additionally, this review explores the evolving landscape of MASLD diagnostic approaches, including machine-learning techniques, opportunistic screening, standardized imaging guidelines, and therapies, emphasizing the pivotal role that radiologists can play in shaping these developments.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":"137-151"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865115/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145912161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Radiology Research and Publishing Across 2025-2026: Perspectives From <i>KJR</i>.","authors":"Seong Ho Park","doi":"10.3348/kjr.2025.1968","DOIUrl":"10.3348/kjr.2025.1968","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"27 2","pages":"81-84"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146064252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use of Urine Bags Following Contrast-Enhanced Radiological Procedures: Option to Reduce the Environmental Impact of Contrast Agents and a New Source for Scientific Analyses.","authors":"Ingrid B Böhm","doi":"10.3348/kjr.2025.1852","DOIUrl":"10.3348/kjr.2025.1852","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"27 2","pages":"194-195"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146064254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Access and Reimbursement for Artificial Intelligence in Radiology: A Central Asian Perspective.","authors":"Tairkhan Dautov, Ainara Darbaeva, Zhuldyz Aimagambetova, Vitaly Polushkin","doi":"10.3348/kjr.2025.1638","DOIUrl":"10.3348/kjr.2025.1638","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":" ","pages":"85-90"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865108/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145912085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
YunMeng Wang, WeiYi Zhou, YuanYuan Cui, JianKun Dai, YuXin Cheng, QingQing Wen, TianYi Xing, HongBiao Sun, Song Jiang, MeiLing Xu, ZhenHuan Wang, Yan Song, Tuo Li, Yi Xiao
Objective: This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO).
Materials and methods: A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTRasym) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTRasym values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman's correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO.
Results: Patients with active TAO showed lower MTR values (P < 0.001) and higher MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) (all P < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (r = -0.402; P < 0.001), while MTRasym (1 ppm), MTRasym (2 ppm), and MTRasym (3.5 ppm) were positively correlated with CAS (r = 0.369, 0.350, and 0.349, respectively; all P < 0.001). MTR and MTRasym (1 ppm) were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTRasym (1 ppm) in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTRasym (1 ppm) significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (P = 0.029 and 0.001).
Conclusion: MTR and MTRasym (1 ppm) were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.
{"title":"Quantitative Chemical Exchange Saturation Transfer MRI for Diagnosing Thyroid-Associated Ophthalmopathy Activity: A Prospective Feasibility Study.","authors":"YunMeng Wang, WeiYi Zhou, YuanYuan Cui, JianKun Dai, YuXin Cheng, QingQing Wen, TianYi Xing, HongBiao Sun, Song Jiang, MeiLing Xu, ZhenHuan Wang, Yan Song, Tuo Li, Yi Xiao","doi":"10.3348/kjr.2025.1101","DOIUrl":"10.3348/kjr.2025.1101","url":null,"abstract":"<p><strong>Objective: </strong>This prospective study evaluated the feasibility of chemical exchange saturation transfer (CEST) MRI for assessing disease activity in thyroid-associated ophthalmopathy (TAO).</p><p><strong>Materials and methods: </strong>A total of 88 patients with active TAO, 76 with inactive TAO, and 30 healthy controls were enrolled. CEST MRI-derived magnetization transfer ratio (MTR) and MTR asymmetry (MTR<sub>asym</sub>) at 1 ppm, 2 ppm, and 3.5 ppm were calculated. Clinical data, MTR, and MTR<sub>asym</sub> values for the extraocular muscles (one representative muscle per eye, yielding two measurements per participant) were compared among the groups. Spearman's correlation was used to examine associations between imaging parameters and the clinical activity score (CAS) in patients with TAO. Logistic regression analysis was used to identify independent associations between imaging parameters and disease activity in patients with TAO (active vs. inactive). Receiver operating characteristic (ROC) analysis was conducted to evaluate the diagnostic performance for discriminating active from inactive TAO.</p><p><strong>Results: </strong>Patients with active TAO showed lower MTR values (<i>P</i> < 0.001) and higher MTR<sub>asym (1 ppm)</sub>, MTR<sub>asym (2 ppm)</sub>, and MTR<sub>asym (3.5 ppm)</sub> (all <i>P</i> < 0.001) compared with those with inactive TAO. MTR was negatively correlated with CAS (<i>r</i> = -0.402; <i>P</i> < 0.001), while MTR<sub>asym (1 ppm)</sub>, MTR<sub>asym (2 ppm)</sub>, and MTR<sub>asym (3.5 ppm)</sub> were positively correlated with CAS (<i>r</i> = 0.369, 0.350, and 0.349, respectively; all <i>P</i> < 0.001). MTR and MTR<sub>asym (1 ppm)</sub> were independently associated with TAO activity. The areas under the ROC curve (AUCs) for MTR and MTR<sub>asym (1 ppm)</sub> in discriminating active from inactive TAO were 0.772 and 0.730, respectively. Combining MTR with MTR<sub>asym (1 ppm)</sub> significantly improved diagnostic performance compared with either parameter alone, achieving an AUC of 0.805 (<i>P</i> = 0.029 and 0.001).</p><p><strong>Conclusion: </strong>MTR and MTR<sub>asym (1 ppm)</sub> were independently associated with TAO activity. Their combination further enhanced diagnostic performance in distinguishing active from inactive TAO, suggesting their potential as quantitative imaging biomarkers to guide treatment in patients with TAO.</p>","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"27 2","pages":"161-173"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865116/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146064302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marat Khodjibekov, Yulduz Khodjibekova, Lalita Yunusova
{"title":"Building the Future of Radiology Through Artificial Intelligence: Uzbekistan National Efforts and Innovations.","authors":"Marat Khodjibekov, Yulduz Khodjibekova, Lalita Yunusova","doi":"10.3348/kjr.2025.1550","DOIUrl":"10.3348/kjr.2025.1550","url":null,"abstract":"","PeriodicalId":17881,"journal":{"name":"Korean Journal of Radiology","volume":"27 2","pages":"91-93"},"PeriodicalIF":5.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12865103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146064323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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