Beomseok Son
Sungkyunkwan University · 医学
研究室紹介
Professor Beomseok Son's research lab specializes in radiomics and medical image analysis, focusing on leveraging advanced MRI and ultrasound techniques to improve diagnostic accuracy and prognostic prediction in neurological, oncological, and urological conditions. The lab develops machine learning-based models that extract quantitative imaging features to predict molecular markers, differentiate disease subtypes (e.g., HPV status in oropharyngeal cancer, JME vs. GTCA), and guide personalized treatment decisions. A key focus is translating radiomic signatures into clinically actionable tools for early detection and risk stratification.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Obtaining ARFI measurements of the kidney is feasible in young children with median SWVs of 1.75 m/sec in normal kidneys. Median SWVs increased in high-grade hydronephrotic kidneys but were not different between hydronephrotic kidneys with and without UPJO.
OBJECTIVES: To investigate whether a radiomic MRI feature-based prediction model can differentiate oropharyngeal squamous cell carcinoma (SCC) according to the human papillomavirus (HPV) status. STUDY DESIGN: Retrospective cohort study. METHODS: Pretreatment MRI data from 62 consecutive patients with oropharyngeal SCC were retrospectively reviewed, and chronologically allocated to training (n = 43) and test sets (n = 19). Enhancing tumors were semi-automatically segmented on each slice of the po
PURPOSE: In glioma, molecular alterations are closely associated with disease prognosis. This study aimed to develop a radiomics-based multiple gene prediction model incorporating mutual information of each genetic alteration in glioblastoma and grade 4 astrocytoma, IDH-mutant. METHODS: From December 2014 through January 2020, we enrolled 418 patients with pathologically confirmed glioblastoma (based on the 2016 WHO classification). All selected patients had preoperative MRI and isocitrate dehyd
Software-aided reading showed significant incremental value in the sensitivity of clinicians in the detection of aneurysms on MRA without a significant increase in false-positive findings, especially for the neurosurgeon and neurologist. Software-aided reading showed equivocal value for the radiologist.
Background Cervical node metastasis is one of the most significant prognostic factors in patients with oropharyngeal squamous cell carcinoma (SCC). There is little information regarding the comparison of histopathologic analysis following neck dissection with imaging results in oropharyngeal SCC. Purpose To investigate the clinical utility of PET-CT compared with computed tomography (CT) or magnetic resonance imaging (MRI) for detecting nodal metastasis in oropharyngeal SCC patients with palpabl
BACKGROUND: The clinical presentation of juvenile myoclonic epilepsy (JME) and epilepsy with generalized tonic-clonic seizures alone (GTCA) is similar, and MRI scans are often perceptually normal in both conditions making them challenging to differentiate. PURPOSE: To develop and validate an MRI-based radiomics model to accurately diagnose JME and GTCA, as well as to classify prognostic groups. STUDY TYPE: Retrospective. POPULATION: 164 patients (127 with JME and 37 with GTCA) patients (age 24.0
By comparing the prevalence of emotional and behaviour health problems among institutionalized juvenile offenders with that amongst a non‐offending sample of adolescents, this study indicates common characteristics of the perceived emotional and behavioural problems, and describes risk factors pertinent to persistent juvenile offending. Familial backgrounds, behavioural and emotional measures were collected through self‐report surveys. Results showed that young people in secure units claimed sig