Ja-Keung Yoon
Yonsei University · Medicine
About the Lab
Professor Ja-Keung Yoon's research lab specializes in medical imaging and diagnostic radiology, with a focus on advancing MRI techniques for liver and pancreatic cancer detection. The lab investigates innovative imaging methods such as compressed sensing and parallel imaging to improve scan efficiency and image quality in dynamic contrast-enhanced MRI. It also explores the application of artificial intelligence, particularly deep learning, in interpreting pediatric abdominal radiographs for early diagnosis of conditions like intussusception. Additionally, the lab examines molecular imaging biomarkers and sarcopenia assessment to support personalized cancer diagnosis and prognosis.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15OBJECTIVES: The aim of this study was to investigate the utility of a combined compressed sensing and parallel imaging (C-SENSE) technique for single breath-hold, double arterial phase (AP) examinations in gadoxetate-enhanced magnetic resonance imaging (MRI) of the liver. MATERIALS AND METHODS: We retrospectively reviewed single breath-hold, double AP images obtained by using a C-SENSE technique for gadoxetate-enhanced dynamic liver MRI in a total of 127 patients (89 men and 38 women; mean age,
BACKGROUND: The reported diagnostic performance for hepatocellular carcinoma (HCC) of each major imaging feature on MRI using standardized definitions of the Liver Imaging Reporting and Data System (LI-RADS) is variable. It is important to know the actual performance of each LI-RADS major imaging feature for imaging diagnosis of HCC and determine the sources of heterogeneity between the reported results. PURPOSE: To systematically determine the performance of each major imaging feature of LI-RAD
Our data provide sex-specific cutoff values for the SMA and SMI at the L3 level measured by CT imaging in a healthy Korean population, which may be applicable for identifying sarcopenia in this population.
The purpose of this study was to develop and test the performance of a deep learning-based algorithm to detect ileocolic intussusception using abdominal radiographs of young children. For the training set, children (≤5 years old) who underwent abdominal radiograph and ultrasonography (US) for suspicion of intussusception from March 2005 to December 2017 were retrospectively included and divided into control and intussusception groups according to the US results. A YOLOv3-based algorithm was deve
BACKGROUND: The goal of this study was to investigate the expression of sarcosine metabolism-related proteins, namely glycine N-methyltransferase (GNMT), sarcosine dehydrogenase (SARDH), and l-pipecolic acid oxidase (PIPOX), in the different breast cancer subtypes and to assess the implications of differences in expression pattern according to subtype. METHODS: We analyzed the expression of GNMT, SARDH, and PIPOX in a tissue microarray of 721 breast cancer cases using immunohistochemistry (IHC).
Abstract The objective of this study was to evaluate the role of regional lymph node (LN) metastasis detected on preoperative CT and/or 18 F-fluoro-2-deoxyglucose-positron emission tomography (FDG-PET) scans in the prediction of early tumor recurrence after curative surgical resection of pancreatic ductal adenocarcinoma (PDAC). This retrospective study included 137 patients who underwent upfront surgery with R0 resection of PDAC between 2013 and 2016. Regional LN metastasis was identified using
TNM staging system of differentiated thyroid cancer defines gross strap muscle invasion as T3b stage. However, the impact of strap muscle invasion on disease-specific survival (DSS) remains controversial. To elucidate the survival impact of strap muscle invasion of any degree in thyroid cancers, the Surveillance, Epidemiology, and End Results (SEER) database (1973-2018) was queried for thyroid cancer only patients on July 2019 (n = 19,914). The Cox proportional hazard analysis with multivariable
The creation of transjugular intrahepatic portosystemic shunt (TIPS) is a widely performed technique to relieve portal hypertension, and to manage recurrent variceal bleeding and refractory ascites in patients where medical and/or endoscopic treatments have failed. However, portosystemic shunt creation can be challenging in the presence of chronic portal vein occlusion. In this case report, we describe a minimally invasive endovascular mesocaval shunt creation with transsplenic approach for the
Hepatocellular carcinoma frequently recurs after surgery, necessitating personalized clinical approaches based on tumor avatar models. However, location-dependent oxygen concentrations resulting from the dual hepatic vascular supply drive the inherent heterogeneity of the tumor microenvironment, which presents challenges in developing an avatar model. In this study, tissue samples from 12 patients with hepatocellular carcinoma are cultured directly on a chip and separated based on preference of
BACKGROUND: Hepatocellular carcinoma (HCC) can be diagnosed without pathologic confirmation in high-risk patients. Therefore, it is necessary to compare current imaging criteria for noninvasive-diagnosis of HCC. PURPOSE: To systematically compare performance of 2018 European Association for the Study of the Liver (EASL) criteria and Liver Imaging Reporting and Data System (LI-RADS) for noninvasive-diagnosis of HCC. STUDY TYPE: Systematic review and meta-analysis. SUBJECTS: Eight studies with 223
Research Areas
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