ArticleFrontiers in oncology2022
Deep Learning of Liver Contrast-Enhanced Ultrasound to Predict Microvascular Invasion and Prognosis in Hepatocellular Carcinoma.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Accuracy of Medical Image-Based Deep Learning for Detecting Microvascular Invasion in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Artificial Intelligence for Contrast-Enhanced Ultrasound of the Liver: A Systematic Review.Digestion · 2025Pooled it
- Prognostic value of liver stiffness measurement and contrast-enhanced ultrasound in chronic liver disease: a prospective cohort study.Abdominal radiology (New York) · 2026Article
- Prediction of microvascular invasion in hepatocellular carcinoma using contrast-enhanced ultrasound and deep learning.Nature communications · 2026Article
- MEP-Net: a PIDNet-based model with median-enhanced spatial-channel attention for segmentation of hepatocellular carcinoma in CEUS images.BMC medical imaging · 2026Article
- The Potential of Artificial Intelligence to Improve Selection Criteria for Liver Transplantation in HCC.Cancers · 2025Review
- Prognostication of Hepatocellular Carcinoma Using Artificial Intelligence.Korean journal of radiology · 2024Review
- Predicting the Efficacy of Neoadjuvant Chemotherapy for Pancreatic Cancer Using Deep Learning of Contrast-Enhanced Ultrasound Videos.Diagnostics (Basel, Switzerland) · 2023Article
- Radiological findings in non-surgical recurrent hepatocellular carcinoma: From locoregional treatments to immunotherapy.World journal of gastroenterology · 2023Review
- Preoperative and Prognostic Prediction of Microvascular Invasion in Hepatocellular Carcinoma: A Review Based on Artificial Intelligence.Technology in cancer research & treatmentReview
Corrections and comments
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Authors and funding
19 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Microvascular invasion (MVI) is a well-known risk factor for poor prognosis in hepatocellular carcinoma (HCC). This study aimed to develop a deep convolutional neural network (DCNN) model based on contrast-enhanced ultrasound (CEUS) to predict MVI, and thus to predict prognosis in patients with HCC. Methods: A total of 436 patients with surgically resected HCC who underwent preoperative CEUS were retrospectively enrolled. Patients were divided into training ( Results: Compared with the Clinical model, the CEUS-DCNN model exhibited similar sensitivity, but higher specificity (71.4% vs. 38.1%, Conclusions: The proposed CECL-DCNN model based on preoperative CEUS video can serve as a noninvasive tool to predict MVI status in HCC, thereby predicting poor prognosis.
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Registered trials
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