AIMC Topic: Liver Neoplasms

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Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.

Analytical cellular pathology (Amsterdam) Aug 4, 2019
Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver cancer without any effective therapy. Plant-derived compounds acting as anticancer agents can induce apoptosis by targeting several signaling pathways. ...
Down-Regulation Up-Regulation Gene Ontology Humans RNA, Messenger Liver Neoplasms Gene Expression Regulation, Neoplastic Carcinoma, Hepatocellular Hep G2 Cells Lactones
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A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes.

Chemical research in toxicology Jul 29, 2019
Pediatric patients are at elevated risk of adverse drug reactions, and there is insufficient information on drug safety in children. Complicating risk assessment in children, there are numerous age-dependent changes in the absorption, distribution, m...
Child Liver Neoplasms Principal Component Analysis Cytochrome P-450 Enzyme System Adolescent Time Factors Child, Preschool Inactivation, Metabolic Sulfurtransferases Glutathione Transferase Glucuronosyltransferase Oxygenases Carboxylesterase Humans Neural Networks, Computer Infant
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Residual convolutional neural network for predicting response of transarterial chemoembolization in hepatocellular carcinoma from CT imaging.

European radiology Jul 22, 2019
BACKGROUND: We attempted to train and validate a model of deep learning for the preoperative prediction of the response of patients with intermediate-stage hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE).
Disease Progression Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Chemoembolization, Therapeutic Tomography, X-Ray Computed Female Male Middle Aged Humans Retrospective Studies
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Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Medical physics Jul 20, 2019
PURPOSE: To effectively grade hepatocellular carcinoma (HCC) based on deep features derived from diffusion weighted images (DWI) with multiple b-values using convolutional neural networks (CNN).
Carcinoma, Hepatocellular Image Processing, Computer-Assisted Neoplasm Grading Diffusion Magnetic Resonance Imaging Female Humans Male Neural Networks, Computer Middle Aged Liver Neoplasms
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MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.

Physics in medicine and biology Jul 16, 2019
Magnetic resonance imaging (MRI) has been widely used in combination with computed tomography (CT) radiation therapy because MRI improves the accuracy and reliability of target delineation due to its superior soft tissue contrast over CT. The MRI-onl...
Humans Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiography, Abdominal
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Assessing micrometastases as a target for nanoparticles using 3D microscopy and machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jul 8, 2019
Metastasis of solid tumors is a key determinant of cancer patient survival. Targeting micrometastases using nanoparticles could offer a way to stop metastatic tumor growth before it causes excessive patient morbidity. However, nanoparticle delivery t...
Machine Learning Female Image Interpretation, Computer-Assisted Neoplasm Micrometastasis Lung Neoplasms Animals Mice Liver Neoplasms Nanoparticles Imaging, Three-Dimensional Mice, Inbred BALB C
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Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks.

Academic radiology May 28, 2019
OBJECTIVES: To develop a deep learning-based algorithm to automatically identify optimal portal venous phase timing (PVP-timing) so that image analysis techniques can be accurately performed on post contrast studies.
Humans Neural Networks, Computer Algorithms Portal Vein Retrospective Studies Clinical Trials as Topic Deep Learning Liver Neoplasms Contrast Media
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Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections.

PloS one May 20, 2019
PURPOSE: To compare manual corrections of liver masks produced by a fully automatic segmentation method based on convolutional neural networks (CNN) with manual routine segmentations in MR images in terms of inter-observer variability and interaction...
Observer Variation Neural Networks, Computer Magnetic Resonance Imaging Humans Algorithms Liver Liver Neoplasms Image Interpretation, Computer-Assisted Carcinoma, Hepatocellular
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Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features.

European radiology May 15, 2019
OBJECTIVES: To develop a proof-of-concept "interpretable" deep learning prototype that justifies aspects of its predictions from a pre-trained hepatic lesion classifier.
Middle Aged Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging Predictive Value of Tests Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Bile Duct Neoplasms Female Aged Adult Male Machine Learning Algorithms Retrospective Studies Proof of Concept Study Cholangiocarcinoma Bile Ducts, Intrahepatic
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Dynamic contrast-enhanced computed tomography diagnosis of primary liver cancers using transfer learning of pretrained convolutional neural networks: Is registration of multiphasic images necessary?

International journal of computer assisted radiology and surgery May 3, 2019
PURPOSE: To evaluate the effect of image registration on the diagnostic performance of transfer learning (TL) using pretrained convolutional neural networks (CNNs) and three-phasic dynamic contrast-enhanced computed tomography (DCE-CT) for primary li...
Reproducibility of Results Tomography, Spiral Computed Aged Male Middle Aged Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Neural Networks, Computer Contrast Media Humans Algorithms Retrospective Studies Female
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