• Title/Summary/Keyword: Radiology science department

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Diagnosing Hepatocellular Carcinoma Using Sonazoid Contrast-Enhanced Ultrasonography: 2023 Guidelines From the Korean Society of Radiology and the Korean Society of Abdominal Radiology

  • Woo Kyoung Jeong;Hyo-Jin Kang;Sang Hyun Choi;Mi-Suk Park;Mi Hye Yu;Bohyun Kim;Myung-Won You;Sanghyeok Lim;Young Seo Cho;Min Woo Lee;Jeong Ah Hwang;Jae Young Lee;Jung Hoon Kim;Ijin Joo;Jae Seok Bae;So Yeon Kim;Yong Eun Chung;Dong Hwan Kim;Jeong Min Lee
    • Korean Journal of Radiology
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    • v.24 no.6
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    • pp.482-497
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    • 2023

  • Sonazoid, a second-generation ultrasound contrast agent, was introduced for the diagnosis of hepatic nodules. To clarify the issues with Sonazoid contrast-enhanced ultrasonography for the diagnosis of hepatocellular carcinoma (HCC), the Korean Society of Radiology and Korean Society of Abdominal Radiology collaborated on the guidelines. The guidelines are de novo, evidence-based, and selected using an electronic voting system for consensus. These include imaging protocols, diagnostic criteria for HCC, diagnostic value for lesions that are inconclusive on other imaging results, differentiation from non-HCC malignancies, surveillance of HCC, and treatment response after locoregional and systemic treatment for HCC.

  • https://doi.org/10.3348/kjr.2023.0324 인용 PDF

Ethanol Ablation of the Thyroid Nodules: 2018 Consensus Statement by the Korean Society of Thyroid Radiology

  • Soo Yeon Hahn;Jung Hee Shin;Dong Gyu Na;Eun Joo Ha;Hye Shin Ahn;Hyun Kyung Lim;Jeong Hyun Lee;Jeong Seon Park;Ji-hoon Kim;Jin Yong Sung;Joon Hyung Lee;Jung Hwan Baek;Jung Hyun Yoon;Jung Suk Sim;Kwang Hwi Lee;Seon Mi Baek;So Lyung Jung;Yeo Koon Kim;Yoon Jung Choi
    • Korean Journal of Radiology
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    • v.20 no.4
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    • pp.609-620
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    • 2019

  • Minimally invasive treatment of symptomatic thyroid nodules is now commonplace. Ethanol ablation (EA) of thyroid cystic nodules has been performed since the 1990s, but there is no global consensus or guideline. Although various limitations of EA have been described, recommendations for practical application are necessary. Therefore, the Task Force Committee of the Korean Society of Thyroid Radiology initiated the present consensus statement and here we provide recommendations for the role of EA in the management of symptomatic thyroid nodules. These recommendations are based on evidence to date from the literature and expert opinion.

  • https://doi.org/10.3348/kjr.2018.0696 인용 PDF

Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke

  • Yiran Zhou;Di Wu;Su Yan;Yan Xie;Shun Zhang;Wenzhi Lv;Yuanyuan Qin;Yufei Liu;Chengxia Liu;Jun Lu;Jia Li;Hongquan Zhu;Weiyin Vivian Liu;Huan Liu;Guiling Zhang;Wenzhen Zhu
    • Korean Journal of Radiology
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    • v.23 no.8
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    • pp.811-820
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    • 2022

  • Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825-0.910) in the training cohort and 0.890 (0.844-0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.

  • https://doi.org/10.3348/kjr.2022.0160 인용 PDF