Seung-Bok Kim
Yonsei University · 医学
研究室紹介
Professor Seung-Bok Kim's research lab specializes in medical imaging and hepatocellular carcinoma (HCC) diagnosis, with a strong focus on improving the accuracy and clinical utility of liver imaging systems such as LI-RADS and KLCA-NCC. The lab investigates diagnostic performance, prognostic implications, and risk stratification of liver tumors using MRI and CT, particularly in high-risk populations. Key research directions include non-invasive diagnosis of HCC, evaluation of imaging categories like LR-M, and the role of non-invasive tests (NITs) in monitoring liver fibrosis and complications in chronic liver disease. The lab also explores the integration of artificial intelligence in radiology to enhance diagnostic efficiency and reduce clinical decision-making errors.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Large language models (LLMs) have revolutionized the global landscape of technology beyond natural language processing. Owing to their extensive pre-training on vast datasets, contemporary LLMs can handle tasks ranging from general functionalities to domain-specific areas, such as radiology, without additional fine-tuning. General-purpose chatbots based on LLMs can optimize the efficiency of radiologists in terms of their professional work and research endeavors. Importantly, these LLMs are on a
Patients with tumors preoperatively categorized as LR-M may have a worse prognosis than those with tumors categorized LR-3, LR-4, or LR-5 after curative resection of single hepatic malignancy.
BACKGROUND/AIMS: This study aimed to compare the diagnostic performances of Liver Imaging Reporting and Data System (LI-RADS) 2018 and Korean Liver Cancer Association-National Cancer Center (KLCA-NCC) 2018 criteria on magnetic resonance imaging (MRI) for the noninvasive diagnosis of hepatocellular carcinoma (HCC) in high-risk patients. METHODS: This retrospective study included 273 treatment-naïve patients (71 patients with extracellular contrast agent [ECA]-MRI and 202 patients with hepatobilia
BACKGROUND & AIMS: The liver Imaging Reporting and Data System (LI-RADS) is a comprehensive system for standardizing liver imaging in patients at high risk for hepatocellular carcinoma (HCC). We performed a meta-analysis to determine the diagnostic performance of the LR-5 category for HCC and the pooled proportions of HCCs in each LI-RADS category using CT/MRI LI-RADS v2017. METHODS: We searched multiple databases for original studies reporting on the diagnostic accuracy of CT/MRI LI-RADS v2017.
What is the diagnostic and prognostic performance of NITs for portal hypertension?10.What is the performance of NITs for predicting hepatocellular carcinoma (HCC), hepatic decompensation, and death?11.How useful are NITs for monitoring the progression of CLDs? 12. What is the usefulness of NITs for evaluating liver fibrosis in pediatric and adolescent patients?Internal and external review and approval process Manuscripts and recommendations prepared by each member were reviewed for content integ
BACKGROUND: According to the Liver Imaging Reporting and Data System (LI-RADS), the LI-RADS category M (LR-M), which are probably or definitely malignant but are not specific for hepatocellular carcinomas (HCCs), does not exclude HCCs. A gap in knowledge remains, including their characteristics and recurrence of HCCs categorized as LR-M. PURPOSE: To compare the characteristics of HCCs categorized as LR-M with HCCs categorized as LR-4 or LR-5 (LR-4/5) using the LI-RADS version 2018 and evaluate t
The 8th edition of the American Joint Committee on Cancer (AJCC) staging system for pancreatic cancer (PC) has been validated for pathological staging; however, its significance for clinical staging remains uncertain. We validated the prognostic performance and suitability of the current staging system for the clinical staging of PC. We identified 1043 patients from our PC registry who were staged by imaging according to the 8th edition staging system and conducted analysis, including overall su
PURPOSE: Preclinical data indicate that response to radiotherapy (RT) depends on DNA damage repair. In this study, we investigated the role of mutations in genes related to DNA damage repair in treatment outcome after RT. MATERIALS AND METHODS: Patients with solid tumor who participated in next generation sequencing panel screening using biopsied tumor tissue between October 2013 and February 2019 were reviewed and 97 patients that received RT were included in this study. Best response to RT and
Background Imaging studies have limitations in evaluating pancreatic ductal adenocarcinoma (PDAC) treatment response. Purpose To investigate the effectiveness of combined CT and carbohydrate antigen 19-9 (CA 19-9) evaluation at 8 weeks after first-line treatment to predict overall survival (OS) of patients with nonmetastatic PDAC. Materials and Methods Patients with nonmetastatic PDAC who received first-line treatment with either chemotherapy or concurrent chemoradiation in a single-center PDAC
When CBD is visible on US in patients diagnosed with type IIIa biliary atresia, other US features could have a false negative status. A subcapsular flow on the color Doppler US would be noted in the type IIIa biliary atresia patients.