A5101429939- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease Diagnosis and Treatment
- Pancreatic and Hepatic Oncology Research
- Radiomics and Machine Learning in Medical Imaging
- Liver Disease and Transplantation
- Nutrition and Health in Aging
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Organ Transplantation Techniques and Outcomes
- MRI in cancer diagnosis
- Cancer Immunotherapy and Biomarkers
- Neuroendocrine Tumor Research Advances
- Advanced X-ray and CT Imaging
- Renal cell carcinoma treatment
- Lung Cancer Treatments and Mutations
- Colorectal Cancer Screening and Detection
- Esophageal and GI Pathology
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Hepatitis B Virus Studies
- Acute Kidney Injury Research
- Colorectal Cancer Surgical Treatments
- Advanced Materials and Mechanics
- Glioma Diagnosis and Treatment
- Gallbladder and Bile Duct Disorders
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Asan Medical Center
2016-2025
University of Ulsan
2016-2025
Ulsan College
2016-2025
Yonsei University
2019-2024
Ajou University
2023
Kyung Hee University
2022
Samsung Medical Center
2012-2020
West Pharmaceutical Services (United Kingdom)
2015
Kyungpook National University
2011-2014
Dongduk Women's University
2012
Background The diagnostic abilities of multimodal large language models (LLMs) using direct image inputs and the impact temperature parameter LLMs remain unexplored. Purpose To investigate ability GPT-4V Gemini Pro Vision in generating differential diagnoses at different temperatures compared with radiologists
Objective: We aimed to develop and validate a deep learning system for fully automated segmentation of abdominal muscle fat areas on computed tomography (CT) images. Materials Methods:A convolutional network-based was developed using training dataset 883 CT scans from 467 subjects.Axial images obtained at the inferior endplate level 3rd lumbar vertebra were used analysis.Manually drawn maps skeletal muscle, visceral fat, subcutaneous created serve as ground truth data.The performance...
Purpose To develop and validate a radiomics-based model for staging liver fibrosis by using gadoxetic acid–enhanced hepatobiliary phase MRI. Materials Methods In this retrospective study, 436 patients (mean age, 51 years; age range, 18–86 319 men [mean years]; 117 women 50 18–79 years]) with pathologic analysis–proven who underwent MRI from June 2015 to December 2016 were randomized in three-to-one ratio into development (n = 329) test 107) cohorts, respectively. the cohort, was developed...
The objective of this study was to evaluate the anti-aging potential and skin safety red ginseng (RG) fermented (FRG) using Lactobacillus brevis for use as cosmetic ingredients. Concentrations uronic acid, polyphenols, flavonoids, antioxidant activities were greater in FRG compared RG. contents total ginsenosides not significantly different. However, ginsenoside metabolite content higher (14,914.3 μg/mL) RG (5697.9 μg/mL). tyrosinase inhibitory activity (IC50) 27.63 μg/mL, more potent with...
The aim of our study was to retrospectively determine predictive factors for a decline in forced vital capacity (FVC) on initial CT using texture-based automated quantification patients with idiopathic pulmonary fibrosis (IPF).For study, 193 IPF and 1-year follow-up function tests were enrolled study. A system used in-house software quantify six regional patterns: normal, ground-glass opacity (GGO), reticular (RO), honeycombing, emphysema, consolidation. FVC defined as decrease the more than...
Quantification of abdominal muscle mass by cross-sectional imaging has been increasingly used to diagnose sarcopenia; however, the technical method for quantification not standardized yet. We aimed determine an optimal measure area.Among 50 consecutive subjects who underwent CT and MRI possible liver donation, total area (TAMA) psoas (TPA) at L3 inferior endplate level were measured two blinded readers. Inter-scan agreement between inter-reader readers evaluated using intraclass correlation...
Purpose To evaluate the influence of fitting methods on accuracy and reliability intravoxel incoherent motion (IVIM) parameters, with a particular emphasis constraint function. Materials Methods Diffusion‐weighted (DW) imaging data were analyzed using IVIM‐based full‐fitting (simultaneous fit all parameters) segmented‐fitting (step‐by‐step each parameter), without function, to estimate molecular diffusion coefficient ( D slow ), perfusion fraction f flow‐related fast ). Computational...
Abstract Background & Aims We aimed to compare the performance of gadoxetic acid‐enhanced abbreviated MRI (AMRI)‐based surveillance and ultrasound‐only in high‐risk patients for hepatocellular carcinoma (HCC). Methods Prospectively recruited (>5% annual risk HCC) who underwent one three rounds complete (CMRI) ultrasound at 6‐months intervals were retrospectively analysed. AMRI consisted diffusion‐weighted, T2‐weighted, hepatobiliary phase imaging. The sensitivity, specificity,...
Background There are few data on the relationship between acute hypersensitivity reactions and dose injection rate of iodinated contrast material for CT. Purpose To determine lower speed CT reactions. Materials Methods This retrospective study included adults (age ≥18 years) undergoing nonionic material–enhanced abdominal August 2016 January 2017 (control period) 2018 (intervention period); all examinations were conducted in an outpatient setting. Compared with during control period,...
Background Deep learning (DL) may facilitate the diagnosis of various pancreatic lesions at imaging. Purpose To develop and validate a DL-based approach for automatic identification patients with solid cystic neoplasms abdominal CT compare its diagnostic performance that radiologists. Materials Methods In this retrospective study, three-dimensional nnU-Net–based DL model was trained using data who underwent resection between January 2014 March 2015 subset without abnormality in 2014....
Background Immune checkpoint inhibitors (ICI) have become an important treatment option for non-small cell lung cancer (NSCLC). We aimed to evaluate the clinical impact of pseudoprogression (PsP) and beyond RECIST1.1-defined progressive disease (TBP) on outcome in NSCLC patients treated with ICI.Methods ICI between Mar 2016 July 2018 were recruited a consecutive manner. Response was assessed every 8–12 weeks using RECIST1.1 iRECIST. Based iRECIST, PsP defined as (PD) subsequently reset...