scholarly journals Genotype phenotype classification of hepatocellular adenoma

2007 ◽  
Vol 13 (19) ◽  
pp. 2649 ◽  
Author(s):  
Paulette Bioulac-Sage
Keyword(s):  
Hepatocellular Adenoma ◽  
Phenotype Classification

New MRI features improve subtype classification of hepatocellular adenoma

2018 ◽  
Vol 29 (5) ◽  
pp. 2436-2447 ◽  
Author(s):  
Sylvain Bise ◽  
Nora Frulio ◽  
Arnaud Hocquelet ◽  
Nicolas Alberti ◽  
Jean-Frederic Blanc ◽  
...  
Keyword(s):  
Hepatocellular Adenoma ◽  
Subtype Classification ◽  
Mri Features

scholarly journals Phenotype classification of zebrafish embryos by supervised learning

2012 ◽  
Vol 211 ◽  
pp. S152 ◽  
Author(s):  
Nathalie Jeanray ◽  
Raphaël Marée ◽  
Benoist Pruvot ◽  
Olivier Stern ◽  
Pierre Geurts ◽  
...  
Keyword(s):  
Supervised Learning ◽  
Zebrafish Embryos ◽  
Phenotype Classification

scholarly journals Molecular classification of hepatocellular adenoma: A single-center experience

2019 ◽  
Vol 23 (2) ◽  
pp. 109
Author(s):  
Xue-Yin Shen ◽  
Xu-Guang Hu ◽  
Young-Bae Kim ◽  
Mi-Na Kim ◽  
Sung-Yeon Hong ◽  
...  
Keyword(s):  
Hepatocellular Adenoma ◽  
Molecular Classification ◽  
Single Center ◽  
Single Center Experience

scholarly journals Molecular Pathology of Hepatic Neoplasms: Classification and Clinical Significance

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Zenta Walther ◽  
Dhanpat Jain
Keyword(s):  
Liver Cancer ◽  
Current Knowledge ◽  
Hepatocellular Adenoma ◽  
Molecular Classification ◽  
Mutational Spectra ◽  
Hepatic Neoplasms ◽  
Technological Advances ◽  
Early Hcc ◽  
Gene Expression Studies

Recent technological advances have enabled investigators to characterize the molecular genetics and genomics of hepatic neoplasia in remarkable detail. From these studies, an increasing number of molecular markers are being identified that correlate with clinically important tumor phenotypes. This paper discusses current knowledge relevant to the molecular classification of epithelial primary hepatic tumors that arise in adults, including focal nodular hyperplasia (FNH), hepatocellular adenoma (HCA), hepatocellular carcinoma (HCC), cholangiocarcinoma (CC), and combined HCC-CC. Genetic analysis has defined molecular subtypes of HCA that are clinicopathologically distinct and can be distinguished through immunohistochemistry. Gene expression studies have identified molecular signatures of progression from dysplastic nodules (DNs) to early HCC in cirrhosis. Analyses of the mutational spectra, chromosomal aberrations and instability, transcriptomics, and microRNA profiles of HCC have revealed the existence of biologically distinct subtypes of this common malignancy, with prognostic implications. Molecular characterization of biliary and hepatic progenitor cell phenotypes in liver cancer has shed new light on the histogenesis of these tumors and has focused attention on novel therapeutic targets. In coming years, the molecular classification of hepatic neoplasms will be increasingly valuable for guiding patient care, as targeted therapies for liver cancer are developed and brought into clinical practice.

Molecular classification of hepatocellular adenoma in clinical practice

2017 ◽  
Vol 67 (5) ◽  
pp. 1074-1083 ◽  
Author(s):  
Jean-Charles Nault ◽  
Valérie Paradis ◽  
Daniel Cherqui ◽  
Valérie Vilgrain ◽  
Jessica Zucman-Rossi
Keyword(s):  
Clinical Practice ◽  
Hepatocellular Adenoma ◽  
Molecular Classification

scholarly journals Molecular Classification of Hepatocellular Adenoma Associates With Risk Factors, Bleeding, and Malignant Transformation

2017 ◽  
Vol 152 (4) ◽  
pp. 880-894.e6 ◽  
Author(s):  
Jean-Charles Nault ◽  
Gabrielle Couchy ◽  
Charles Balabaud ◽  
Guillaume Morcrette ◽  
Stefano Caruso ◽  
...  
Keyword(s):  
Risk Factors ◽  
Malignant Transformation ◽  
Hepatocellular Adenoma ◽  
Molecular Classification

scholarly journals Long term EIT based compliance monitoring in COVID-19 patients

2021 ◽  
Vol 7 (2) ◽  
pp. 323-326
Author(s):  
Imanol Isasa Reinoso ◽  
Rongqing Chen ◽  
András Lovas ◽  
Knut Moeller
Keyword(s):  
Electrical Impedance ◽  
Disease Diagnosis ◽  
The Body ◽  
Respiratory Complications ◽  
Impedance Tomography ◽  
Non Invasive ◽  
Phenotype Classification ◽  
Continuous Technology

Abstract The COVID-19 is a viral infection that causes respiratory complications. Infected lungs often present ground glass opacities, thus suggesting that medical imaging technologies could provide useful information for the disease diagnosis, treatment, and posterior recovery. The Electrical Impedance Tomography (EIT) is a non-invasive, radiationfree, and continuous technology that generates images by using a sequence of current injections and voltage measurements around the body, making it very appropriate for the study to monitor the regional behaviour of the lung. Moreover, this tool could also be used for a preliminary COVID-19 phenotype classification of the patients. This study is based on the monitoring of lung compliances of two COVID-19-infected patients: the results indicate that one of them could belong to the H-type, while the other is speculated belongs to L-type. It has been concluded that the EIT is a useful tool to obtain information regarding COVID-19 patients and could also be used to classify different phenotypes.

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