AIMC Topic: Liver Neoplasms

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Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Follow-Up Studies Early Detection of Cancer Biomarkers, Tumor alpha-Fetoproteins Alkaline Phosphatase Male Female Liver Neoplasms Middle Aged Infant, Newborn Carcinoma, Hepatocellular Infant Young Adult Humans Longitudinal Studies Adolescent Machine Learning Adult Child, Preschool Retrospective Studies Child Alanine Transaminase Tyrosinemias
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Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing.

Communications biology Apr 14, 2025
We had previously reported a convolutional neural network (CNN) based approach, called the holistic kinetic model (HK model 1), for detecting 5-methylcytosine (5mC) by single molecule real-time sequencing (Pacific Biosciences). In this study, we cons...
Adenine 5-Methylcytosine Neural Networks, Computer Sequence Analysis, DNA Deep Learning Humans DNA Methylation Liver Neoplasms Cell-Free Nucleic Acids Carcinoma, Hepatocellular
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Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 13, 2025
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. However, in clinical settings without manual annotations, assessing segmenta...
Humans Image Processing, Computer-Assisted Bayes Theorem Skin Neoplasms Image Interpretation, Computer-Assisted Reproducibility of Results Uncertainty Deep Learning Liver Neoplasms
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Integrated multi-omics analysis and machine learning refine molecular subtypes and clinical outcome for hepatocellular carcinoma.

Hereditas Apr 12, 2025
The high morbidity and mortality of hepatocellular carcinoma (HCC) impose a substantial economic burden on patients' families and society, and the majority of HCC patients are detected at advanced stages and experience poor therapeutic outcomes, wher...
Algorithms Prognosis Male Liver Neoplasms Carcinoma, Hepatocellular Humans Multiomics Machine Learning
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Evaluating the dosimetric and positioning accuracy of a deep learning based synthetic-CT model for liver radiotherapy treatment planning.

Biomedical physics & engineering express Apr 11, 2025
An MRI-only workflow requires synthetic computed tomography (sCT) images to enable dose calculation. This study evaluated the dosimetric and patient positioning accuracy of deep learning-generated sCT for liver radiotherapy.sCT images were generated ...
Radiometry Radiotherapy Dosage Radiotherapy, Intensity-Modulated Patient Positioning Deep Learning Liver Neoplasms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Liver Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Algorithms Tomography, X-Ray Computed
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Habitat Radiomics Based on MRI for Predicting Metachronous Liver Metastasis in Locally Advanced Rectal Cancer: a Two‑center Study.

Academic radiology Apr 9, 2025
RATIONALE AND OBJECTIVES: This study aimed to explore the feasibility of using habitat radiomics based on magnetic resonance imaging (MRI) to predict metachronous liver metastasis (MLM) in locally advanced rectal cancer (LARC) patients. A nomogram wa...
Retrospective Studies Female Predictive Value of Tests Aged Rectal Neoplasms Adult Neoplasms, Second Primary Radiomics Liver Neoplasms Male Nomograms Middle Aged Magnetic Resonance Imaging Humans Machine Learning
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Deep learning-based uncertainty quantification for quality assurance in hepatobiliary imaging-based techniques.

Oncotarget Apr 4, 2025
Recent advances in deep learning models have transformed medical imaging analysis, particularly in radiology. This editorial outlines how uncertainty quantification through embedding-based approaches enhances diagnostic accuracy and reliability in he...
Humans Diagnostic Imaging Reproducibility of Results Deep Learning Quality Assurance, Health Care Liver Neoplasms Uncertainty
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LKAN: LLM-Based Knowledge-Aware Attention Network for Clinical Staging of Liver Cancer.

IEEE journal of biomedical and health informatics Apr 4, 2025
Clinical staging of liver cancer (CSoLC), an important indicator for evaluating primary liver cancer (PLC), is key in the diagnosis, treatment, and rehabilitation of liver cancer. In China, the current CSoLC adopts the China liver cancer (CNLC) stagi...
Natural Language Processing Humans Neoplasm Staging Neural Networks, Computer Liver Neoplasms
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Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 2, 2025
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-VIBE) on image quality and procedural parameters during MR-guided thermoablation of liver malignancies, compared to standard VIBE (SD-VIBE).
Ablation Techniques Liver Microwaves Magnetic Resonance Imaging, Interventional Retrospective Studies Female Aged Humans Middle Aged Male Deep Learning Liver Neoplasms Magnetic Resonance Imaging
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Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma.

Scientific reports Apr 1, 2025
The microarray and single-cell RNA-sequencing (scRNA-seq) datasets of hepatocellular carcinoma (HCC) were downloaded from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (W...
Humans Machine Learning Biomarkers, Tumor Single-Cell Analysis Gene Regulatory Networks Sequence Analysis, RNA Gene Expression Regulation, Neoplastic Molecular Docking Simulation Gene Expression Profiling Liver Neoplasms Carcinoma, Hepatocellular
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