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Yoon, Soon Ho

Seoul National University · 医学

研究室紹介

Professor Yoon Soon Ho's research lab specializes in diagnostic radiology and medical imaging, with a strong focus on thoracic and abdominal radiology. The lab investigates advanced imaging techniques for early detection and characterization of lung and liver diseases, particularly using CT and PET-CT. Key research directions include the radiological features of COVID-19 pneumonia, sarcopenia assessment via deep learning on whole-body CT, and improving the safety and accuracy of percutaneous lung biopsies. The lab also develops AI-driven tools for automated segmentation of body composition, enhancing personalized medicine and clinical decision-making.

medical imaginglung cancersarcopeniadeep learningpercutaneous biopsy

Research Overview

Papers
250
Total Citations
6,701
Papers (5y)
101
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
101total
2022
2023
2024
2025
2026
Citations per year (5y)
791total
20222023202420252026

Selected Papers

15
1
Article|662 citations·2020
Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea
Soon Ho Yoon, Kyung Hee Lee, Jin Yong Kim, Young Kyung Lee, Hongseok Ko, Ki Hwan Kim, Chang Min Park, Yun‐Hyeon Kim
SJR Q1Korean Journal of RadiologyOA

COVID-19 pneumonia in Korea primarily manifested as pure to mixed ground-glass opacities with a patchy to confluent or nodular shape in the bilateral peripheral posterior lungs. A considerable proportion of patients with COVID-19 pneumonia had normal chest radiographs.

Radiology, Nuclear Medicine and ImagingMedicine
2
Article|247 citations·2011
Small (≤20 mm) Pancreatic Adenocarcinomas: Analysis of Enhancement Patterns and Secondary Signs with Multiphasic Multidetector CT
Soon Ho Yoon, Jeong Min Lee, Jae Yoon Cho, Kyoung Bun Lee, Ji Eun Kim, Seung Kyoung Moon, Soo Jin Kim, Jee Hyun Baek, Seung Ho Kim, Se Hyung Kim, Jae Young Lee, Joon Koo Han
SJR Q1Radiology

http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11101133/-/DC1.

OncologyMedicine
3
Article|124 citations·2009
Multiphasic MDCT Enhancement Pattern of Hepatocellular Carcinoma Smaller Than 3 cm in Diameter: Tumor Size and Cellular Differentiation
Soon Ho Yoon, Jeong Min Lee, Young So, Sung Hyun Hong, Soo Jin Kim, Joon Koo Han, Byung Ihn Choi
SJR Q1American Journal of Roentgenology

The prevalent enhancement patterns of HCC smaller than 3 cm on multiphasic MDCT scans differed depending on tumor size and cellular differentiation. HCCs smaller than 2 cm and well-differentiated HCCs frequently had atypical enhancement patterns.

HepatologyMedicine
4
Article|118 citations·2021
Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment
Yoon Seong Lee, Namki Hong, Joseph Nathanael Witanto, Ye Ra Choi, Junghoan Park, Pierre Decazes, Florian Eude, Chang Oh Kim, Hyeon Chang Kim, Jin Mo Goo, Yumie Rhee, Soon Ho Yoon
SJR Q1Clinical NutritionOA

BACKGROUND & AIMS: Body composition analysis on CT images is a valuable tool for sarcopenia assessment. We aimed to develop and validate a deep neural network applicable to whole-body CT images of PET-CT scan for the automatic volumetric segmentation of body composition. METHODS: F-fluorodeoxyglucose PET-CT scans of 100 patients were retrospectively included. Two radiologists semi-automatically labeled the following seven body components in every CT image slice, providing a total of 46,967 image

PhysiologyMedicine
5
Review|94 citations·2015
Observer variability in RECIST-based tumour burden measurements: a meta-analysis
Soon Ho Yoon, Kyung Won Kim, Jin Mo Goo, Dong‐Wan Kim, Seokyung Hahn
SJR Q1European Journal of Cancer
Radiology, Nuclear Medicine and ImagingMedicine
6
Article|79 citations·2010
Real-time contrast-enhanced ultrasound-guided biopsy of focal hepatic lesions not localised on B-mode ultrasound
Soon Ho Yoon, Kyoung Ho Lee, So Yeon Kim, Young Hoon Kim, Jee Hyun Kim, Sang Hyub Lee, Tae Kyoung Kim
SJR Q1European Radiology
HepatologyMedicine
7
Article|75 citations·2019
Analysis of Complications of Percutaneous Transthoracic Needle Biopsy Using CT-Guidance Modalities In a Multicenter Cohort of 10568 Biopsies
Soon Ho Yoon, Chang Min Park, Kyung Hee Lee, Kun Young Lim, Young Joo Suh, Dong Jin Im, Jin Hur, Dae Hee Han, Mi‐Jin Kang, Ji Yung Choo, Cherry Kim, Jung Im Kim
SJR Q1Korean Journal of RadiologyOA

Hemoptysis occurred less frequently with CT-based guidance modalities in comparison with fluoroscopy. Although pneumothorax requiring chest tube insertion showed a similar incidence, pneumothorax was more frequently detected using CT-based guidance modalities.

Pulmonary and Respiratory MedicineMedicine
8
Review|67 citations·2020
2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology
Soon Ho Yoon, Sang Min Lee, Chul Hwan Park, Jong Hyuk Lee, Hyungjin Kim, Kum Ju Chae, Kwang Nam Jin, Kyung Hee Lee, Jung Im Kim, Jung Hee Hong, Eui Jin Hwang, Heekyung Kim
SJR Q1Korean Journal of RadiologyOA

Percutaneous transthoracic needle biopsy (PTNB) is one of the essential diagnostic procedures for pulmonary lesions. Its role is increasing in the era of CT screening for lung cancer and precision medicine. The Korean Society of Thoracic Radiology developed the first evidence-based clinical guideline for PTNB in Korea by adapting pre-existing guidelines. The guideline provides 39 recommendations for the following four main domains of 12 key questions: the indications for PTNB, pre-procedural eva

Pulmonary and Respiratory MedicineMedicine
9
Article|65 citations·2017
Incidental Anterior Mediastinal Nodular Lesions on Chest CT in Asymptomatic Subjects
Soon Ho Yoon, Seung Ho Choi, Chang Hyun Kang, Jin Mo Goo
SJR Q1Journal of Thoracic Oncology
NeurologyMedicine
10
Article|58 citations·2022
Chest CT Findings in Hospitalized Patients with SARS-CoV-2: Delta versus Omicron Variants
Soon Ho Yoon, Jong Hyuk Lee, Baek-Nam Kim
SJR Q1RadiologyOA

Background CT manifestations of SARS-CoV-2 may differ among variants. Purpose To compare the chest CT findings of SARS-CoV-2 between the Delta and Omicron variants. Materials and Methods This retrospective study collected consecutive baseline chest CT images of hospitalized patients with SARS-CoV-2 from a secondary referral hospital when the Delta and Omicron variants were predominant. Two radiologists categorized CT images according to the RSNA classification system for COVID-19 and visually gr

Infectious DiseasesMedicine
11
Article|58 citations·2016
Tumor Heterogeneity in Lung Cancer: Assessment with Dynamic Contrast-enhanced MR Imaging
Soon Ho Yoon, Chang Min Park, Sang Joon Park, Jeong‐Hwa Yoon, Seokyung Hahn, Jin Mo Goo
SJR Q1Radiology

Purpose To evaluate histogram and texture parameters on pretreatment dynamic contrast material-enhanced (DCE) magnetic resonance (MR) images in lung cancer in terms of temporal change, optimal time for analysis, and prognostic potential. Materials and Methods This retrospective study was approved by the institutional review board, and the requirement to obtain informed consent was waived. Thirty-eight patients with pathologically proved lung cancer undergoing standard pretreatment DCE MR imaging

Radiology, Nuclear Medicine and ImagingMedicine
12
Review|48 citations·2021
Pleural recurrence after transthoracic needle lung biopsy in stage I lung cancer: a systematic review and individual patient-level meta-analysis
Hyunsook Hong, Seokyung Hahn, Haruhisa Matsuguma, Masayoshi Inoue, Yasushi Shintani, Osamu Honda, Yotaro Izumi, Keisuke Asakura, Hisao Asamura, Tetsuya Isaka, Kyungjong Lee, Yong Soo Choi
SJR Q1Thorax

INTRODUCTION: Conflicting results exist regarding whether preoperative transthoracic biopsy increases the risk of pleural recurrence in early lung cancer. We conducted a systematic, patient-level meta-analysis to evaluate the risk of pleural recurrence in stage I lung cancer after percutaneous transthoracic lung biopsy. METHODS: A systematic search of OVID-MEDLINE, Embase and the Cochrane Database of Systematic Reviews was performed through October 2018. Eligible studies were original articles o

Pulmonary and Respiratory MedicineMedicine
13
Article|48 citations·2018
Personalized 3D-Printed Model for Informed Consent for Stage I Lung Cancer: A Randomized Pilot Trial
Soon Ho Yoon, Samina Park, Chang Hyun Kang, In Kyu Park, Jin Mo Goo, Young Tae Kim
SJR Q1Seminars in Thoracic and Cardiovascular Surgery
Pulmonary and Respiratory MedicineMedicine
14
Article|39 citations·2025
CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images
Seowoo Lee, Jiwon Youn, Hyungjin Kim, Mansu Kim, Soon Ho Yoon
SJR Q1European RadiologyOA

OBJECTIVE: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists. MATERIALS AND METHODS: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset

Radiology, Nuclear Medicine and ImagingMedicine
15
Review|38 citations·2013
Positron Emission Tomography/Magnetic Resonance Imaging Evaluation of Lung Cancer
Soon Ho Yoon, Jin Mo Goo, Sang Min Lee, Chang Min Park, Hyo Jung Seo, Gi Jeong Cheon
SJR Q2Journal of Thoracic Imaging

Various designs of positron emission tomography/magnetic resonance imaging (PET/MRI) systems have been recently introduced to clinical practice, which have overcome preexisting technical challenges concerning the fusion of PET and MRI systems. Although further improvements are still necessary especially for bony lesions, quantification using current MRI-based attenuation correction techniques has been shown to be comparable to that of PET/computed tomography (CT) systems. On the basis of the res

Radiology, Nuclear Medicine and ImagingMedicine

Research Areas

Pulmonary and Respiratory MedicineRadiology, Nuclear Medicine and ImagingInfectious DiseasesOncologyEpidemiologyPhysiology

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