Hepatocellular carcinoma risk stratification to identify patients suitable for intensive surveillance in viral hepatitis: the SELECT score

Question Ultrasound features have not been incorporated into hepatocellular carcinoma risk prediction models, despite ultrasound being the primary surveillance modality. Findings The SELECT model, incorporating demographics, laboratory findings and ultrasound features (cirrhosis and multiple cirrhotic nodules), demonstrated superior performance compared to existing models. Clinical relevance The SELECT model effectively identifies viral hepatitis patients with ≥ 2.5% annual HCC risk who would benefit from intensive surveillance using alternative imaging modalities, optimizing resource allocation and achieving higher diagnostic yield.

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Publication Details

Journal
European Radiology
Published
2025-10-25
DOI
https://doi.org/10.1007/s00330-025-12060-8
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.35

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article

Hepatocellular carcinoma risk stratification to identify patients suitable for intensive surveillance in viral hepatitis: the SELECT score

Se Woo Kim, Sun Kyung Jeon, Jae Seok Bae, Yeun‐Yoon Kim et al.
1 citations
European Radiology
Liver Disease Diagnosis and Treatment
1.35
article

Hepatocellular carcinoma risk stratification to identify patients suitable for intensive surveillance in viral hepatitis: the SELECT score

Se Woo Kim, Sun Kyung Jeon, Jae Seok Bae, Yeun‐Yoon Kim, Eun Ju Cho, Won Chang, Yun Bin Lee, Sook‐Hyang Jeong, Jeongin Yoo, Jeong Hee Yoon, Young Hoon Kim, Do Young ‍Kim, Jin‐Young Choi, Heesoo Kim, Yunhee Choi, Jeong Min Lee
article en
1 citations

Abstract

Question Ultrasound features have not been incorporated into hepatocellular carcinoma risk prediction models, despite ultrasound being the primary surveillance modality. Findings The SELECT model, incorporating demographics, laboratory findings and ultrasound features (cirrhosis and multiple cirrhotic nodules), demonstrated superior performance compared to existing models. Clinical relevance The SELECT model effectively identifies viral hepatitis patients with ≥ 2.5% annual HCC risk who would benefit from intensive surveillance using alternative imaging modalities, optimizing resource allocation and achieving higher diagnostic yield.

European Radiology
Seoul National University (KR), Yonsei University (KR), Severance Hospital (KR), Samsung Medical Center (KR), Seoul National University Hospital (KR), Seoul National University Bundang Hospital (KR), National University College (PR), Sungkyunkwan University (KR)
National Research Foundation, Seoul National University, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 14%
Liver Disease Diagnosis and Treatment
1.35
DOIOpen Access PDFOpenAlex
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