Chansik An

Associate professor

CHA University

South Korea

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About

Chansik An is an Associate Professor at CHA University in South Korea. His research focuses on hepatocellular carcinoma and imaging techniques, as reflected in his recent articles on the prognostic significance of volumetric parameters in FDG PET/CT and the comparison of MRI and ultrasonography for cancer surveillance. He is also involved in studies related to liver function changes in patients receiving Atezolizumab plus Bevacizumab therapy and the application of machine learning models in radiomics.

Articles (14)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (3)

Do Young Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

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Na Reum Kim

Yonsei University Health System

SOUTH KOREA

View details

Myeong-Jin Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

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Chansik An

Research Interests

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Articles (14)

Non-contrast magnetic resonance imaging versus ultrasonography for hepatocellular carcinoma surveillance: A randomized, single-center trial

Prognostic Significance of Volumetric Parameters on Pretreatment FDG PET/CT in Patients With Hepatocellular Carcinoma Receiving Atezolizumab Plus Bevacizumab Therapy

Association between incidental perirenal fat stranding on CT and metabolic syndrome in otherwise healthy adults

Additional nodules detected using EOB-MRI in patients with resectable single hepatocellular carcinoma: an implication for active treatment strategy

CT Evaluation of Long-Term Changes in Common Bile Duct Diameter after Cholecystectomy

Distinct Characteristics and Changes in Liver Function of Patients with Hepatocellular Carcinoma Treated with Atezolizumab Plus Bevacizumab for more than 1 Year

Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasis

Positive Versus Neutral Oral Contrast Material for Detection of Malignant Deposits in Intraabdominal Nonsolid Organs on CT

Recognizing and Minimizing Artifacts at Dual-Energy CT

Dual-Energy CT Images: Pearls and Pitfalls

The Effect of Lung Volume on the Size and Volume of Pulmonary Subsolid Nodules on CT: Intraindividual Comparison between Total Lung Capacity and Tidal Volume

Diagnostic performance of Liver Imaging Reporting and Data System in patients at risk of both hepatocellular carcinoma and metastasis

Improved Sensitivity and Reader Confidence in CT Colonography Using Dual-Layer Spectral CT: A Phantom Study

Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation.

Collaborators (3)

Do Young Kim

Na Reum Kim

Myeong-Jin Kim

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