AIMC Topic: Liver
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Development of a Low-Profile, Piezoelectric Robot for MR-Guided Abdominal Needle Interventions.
Annals of biomedical engineering
Apr 23, 2025
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and treatment, including procedures, such as biopsy, brachytherapy, and microwave ablation. Although MR-guided needle placement offers several distinct advan...
Nuciferine activates intestinal TAS2R46 to attenuate metabolic disorders and hyperlipidemia via hepatic VLDL regulation.
Phytomedicine : international journal of phytotherapy and phytopharmacology
Apr 22, 2025
BACKGROUND: Dysregulated blood lipid metabolism, a primary driver of hyperlipidemia, is closely associated with excessive very low-density lipoprotein (VLDL) synthesis and secretion. Nuciferine, a bioactive compound isolated from lotus leaves, demons...
Deep Visual Proteomics maps proteotoxicity in a genetic liver disease.
Nature
Apr 16, 2025
Protein misfolding diseases, including α1-antitrypsin deficiency (AATD), pose substantial health challenges, with their cellular progression still poorly understood. We use spatial proteomics by mass spectrometry and machine learning to map AATD in h...
The efficacy and toxicity equilibrium of emodin for liver injury: A bidirectional meta-analysis and machine learning.
Phytomedicine : international journal of phytotherapy and phytopharmacology
Apr 11, 2025
BACKGROUND: Emodin, a hepatoprotective agent derived from various herbs, exhibits dual effects on liver injury, necessitating further investigation into its therapeutic and toxic properties. Traditional meta-analyses lack predictive capability for do...
Characterization of fibrotic liver tissue microstructure for predicting shear wave speed variability: a machine-learning-based computational study.
Physics in medicine and biology
Apr 11, 2025
This study aimed to establish a link between the microstructure of simulated fibrotic liver tissues and the measured shear wave speed (SWS) variability using a machine-learning (ML)-based approach.. Fibrotic liver tissues were simulated using biphasi...
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 ...
SFM-Net: Semantic Feature-Based Multi-Stage Network for Unsupervised Image Registration.
IEEE journal of biomedical and health informatics
Apr 4, 2025
It is difficult for general registration methods to establish the fine correspondence between images with complex anatomical structures. To overcome the above problem, this work presents SFM-Net, an unsupervised multi-stage semantic feature-based net...
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).
ResTransUNet: A hybrid CNN-transformer approach for liver and tumor segmentation in CT images.
Computers in biology and medicine
Mar 28, 2025
BACKGROUND AND OBJECTIVE: Accurate medical tumor segmentation is critical for early diagnosis and treatment planning, significantly improving patient outcomes. This study aims to enhance liver and tumor segmentation from CT and liver images by develo...
Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy.
Technology in cancer research & treatment
Mar 28, 2025
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segme...
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