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Liver Neoplasms

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Retrospective Analysis of Radiofrequency Ablation in Patients with Small Solitary Hepatocellular Carcinoma: Survival Outcomes and Development of a Machine Learning Prognostic Model.

Current medical science Sep 30, 2024
BACKGROUND AND OBJECTIVE: The effectiveness of radiofrequency ablation (RFA) in improving long-term survival outcomes for patients with a solitary hepatocellular carcinoma (HCC) measuring 5 cm or less remains uncertain. This study was designed to elu...
Retrospective Studies Female SEER Program Humans Radiofrequency Ablation Aged Liver Neoplasms Machine Learning Adult Carcinoma, Hepatocellular Prognosis Male Treatment Outcome Middle Aged ROC Curve
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Pretreatment CT-based machine learning radiomics model predicts response in unresectable hepatocellular carcinoma treated with lenvatinib plus PD-1 inhibitors and interventional therapy.

Journal for immunotherapy of cancer Sep 25, 2024
Quinolines Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Immune Checkpoint Inhibitors Antineoplastic Combined Chemotherapy Protocols Phenylurea Compounds Tomography, X-Ray Computed Female Aged Radiomics Humans Machine Learning
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Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning.

PloS one Sep 25, 2024
BACKGROUND: Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.
Swine Algorithms Microwaves Ultrasonography Machine Learning Temperature Ablation Techniques Animals Liver Neoplasms Liver
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Novel prognostic signature for hepatocellular carcinoma using a comprehensive machine learning framework to predict prognosis and guide treatment.

Frontiers in immunology Sep 24, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) is highly aggressive, with delayed diagnosis, poor prognosis, and a lack of comprehensive and accurate prognostic models to assist clinicians. This study aimed to construct an HCC prognosis-related gene sign...
Gene Expression Profiling Transcriptome Liver Neoplasms Female Biomarkers, Tumor Humans Male Carcinoma, Hepatocellular Machine Learning Middle Aged Prognosis Gene Expression Regulation, Neoplastic Nomograms
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Identification of macrotrabecular-massive hepatocellular carcinoma through multiphasic CT-based representation learning method.

Medical physics Sep 23, 2024
BACKGROUND: Macrotrabecular-massive hepatocellular carcinoma (MTM-HCC) represents an aggressive subtype of HCC and is associated with poor survival.
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Machine Learning Carcinoma, Hepatocellular Image Processing, Computer-Assisted Male Middle Aged Liver Neoplasms
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AI-Safe-C score: Assessing liver-related event risks in patients without cirrhosis after successful direct-acting antiviral treatment.

Journal of hepatology Sep 20, 2024
BACKGROUND & AIMS: Direct-acting antivirals (DAAs) have considerably improved chronic hepatitis C (HCV) treatment; however, follow-up after sustained virological response (SVR) typically neglects the risk of liver-related events (LREs). This study in...
Humans Artificial Intelligence Risk Assessment Hong Kong ROC Curve Sustained Virologic Response Liver Neoplasms Antiviral Agents Liver Cirrhosis Hepatitis C, Chronic Aged France Adult Republic of Korea Male Female Middle Aged Risk Factors
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NecroGlobalGCN: Integrating micronecrosis information in HCC prognosis prediction via graph convolutional neural networks.

Computer methods and programs in biomedicine Sep 19, 2024
BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma (HCC) ranks fourth in cancer mortality, underscoring the importance of accurate prognostic predictions to improve postoperative survival rates in patients. Although micronecrosis has been shown to ha...
Necrosis Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Humans Neural Networks, Computer Prognosis Female Male
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Advanced Prediction of Hepatic Oncogenic Transformation in HBV Patients via RNA-Seq Data Analysis and Deep Learning Techniques.

International journal of molecular sciences Sep 11, 2024
Liver cancer, recognized as a significant global health issue, is increasingly correlated with Hepatitis B virus (HBV) infection, as evidenced by numerous scientific studies. This study aims to examine the correlation between HBV infection and the de...
Deep Learning Cell Transformation, Neoplastic Liver Neoplasms Carcinoma, Hepatocellular Humans Hepatitis B virus Neural Networks, Computer Hepatitis B RNA-Seq Sequence Analysis, RNA
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Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation.

Medical physics Sep 9, 2024
BACKGROUND: Ablation zone segmentation in contrast-enhanced computed tomography (CECT) images enables the quantitative assessment of treatment success in the ablation of liver lesions. However, fully automatic liver ablation zone segmentation in CT i...
Liver Neoplasms Image Processing, Computer-Assisted Automation Humans Ablation Techniques Neural Networks, Computer Tomography, X-Ray Computed
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A Multi-Scale Liver Tumor Segmentation Method Based on Residual and Hybrid Attention Enhanced Network with Contextual Integration.

Sensors (Basel, Switzerland) Sep 9, 2024
Liver cancer is one of the malignancies with high mortality rates worldwide, and its timely detection and accurate diagnosis are crucial for improving patient prognosis. To address the limitations of traditional image segmentation techniques and the ...
Neural Networks, Computer Algorithms Liver Neoplasms Image Processing, Computer-Assisted Humans Liver
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