Gastroenterology

Ombitasvir, paritaprevir, and ritonavir plus ribavirin for chronic hepatitis C virus genotype 4 infection in Egyptian patients with or without compensated cirrhosis (AGATE-II): a multicentre, phase 3, partly randomised open-label trial.

BACKGROUND: In Egypt, chronic hepatitis C virus (HCV) infection occurs in around 10% of the population (about 8 million individuals), and is a leading cause of liver cirrhosis, hepatocellular carcinoma, and mortality. Although HCV genotype 4 constitutes about 20% of HCV infections worldwide, the prevalence in Egypt is more than 90%. We assessed the efficacy and safety of the two direct-acting anti...

Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China.

BACKGROUND: Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease.

Effect of goat milk on hepatotoxicity induced by antitubercular drugs in rats.

Aim of the present study was to assess the hepatoprotective activity of goat milk on antitubercular drug-induced hepatotoxicity in rats. Hepatotoxicit...

Clinical results of mean GTV dose optimized robotic guided SBRT for liver metastases.

BACKGROUND: We retrospectively evaluated the efficacy and toxicity of gross tumor volume (GTV) mean-dose-optimized and real-time motion-compensated ro...

Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery.

Studies associating changes in the levels of multiple biomolecules including proteins, glycans, glycoproteins, and metabolites with the onset of cance...

Automated development of artificial neural networks for clinical purposes: Application for predicting the outcome of choledocholithiasis surgery.

Among various expert systems (ES), Artificial Neural Network (ANN) has shown to be suitable for the diagnosis of concurrent common bile duct stones (C...

Adaptive contrast weighted learning for multi-stage multi-treatment decision-making.

Dynamic treatment regimes (DTRs) are sequential decision rules that focus simultaneously on treatment individualization and adaptation over time. To d...

A novel curvature-controllable steerable needle for percutaneous intervention.

Over the last few decades, flexible steerable robotic needles for percutaneous intervention have been the subject of significant interest. However, th...

Protection of hepatotoxicity using by prevention of ethanol-induced oxidative stress, DNA-damage and altered biochemical markers in Wistar rats.

BACKGROUND: Traditional systems of medicine use herbal drugs for hepatoprotection. Thus, the study was designed to evaluate the hepatoprotective and a...

Identification of lesion images from gastrointestinal endoscope based on feature extraction of combinational methods with and without learning process.

The gastrointestinal endoscopy in this study refers to conventional gastroscopy and wireless capsule endoscopy (WCE). Both of these techniques produce...

Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database.

Strategies for discovering common molecular events among disparate diseases hold promise for improving understanding of disease etiology and expanding...

Early Experience of Robot-Assisted Esophagectomy With Circular End-to-End Stapled Anastomosis.

BACKGROUND: Surgical resection is a critical element in the treatment of esophageal cancer. Esophagectomy is technically challenging and is associated...

Liver vessel segmentation based on extreme learning machine.

Liver-vessel segmentation plays an important role in vessel structure analysis for liver surgical planning. This paper presents a liver-vessel segment...

Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach.

Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its ultimately effect on the gastrointestinal tract that leads to the n...

Metastatic liver tumour segmentation with a neural network-guided 3D deformable model.

The segmentation of liver tumours in CT images is useful for the diagnosis and treatment of liver cancer. Furthermore, an accurate assessment of tumou...

Comparative analysis focusing on surgical and early oncological outcomes of open, laparoscopy-assisted, and robot-assisted approaches in rectal cancer patients.

PURPOSE: Because there are few comparative studies of open, laparoscopy-assisted (LA), and robot-assisted (RA) total mesorectal excision (TME) for rec...

Study on laparoscopic spleen preserving distal pancreatectomy procedures comparing splenic vessel preservation and non-preservation.

BACKGROUND: The purpose of this study is to investigate whether two types of laparoscopic spleen-preserving distal pancreatectomy (Lap-SPDP) technique...

Short- and mid-term outcomes of robotic-assisted total mesorectal excision for the treatment of rectal cancer. Our experience after 198 consecutive cases.

BACKGROUND: Robot-assisted total mesorectal excision is a safe alternative for rectal cancer treatment. Nevertheless, substantial data is still missin...

Functional results of robotic total intersphincteric resection with hand-sewn coloanal anastomosis.

BACKGROUND: In recent decades there has been an increasing trend toward sphincter-preserving procedures for the treatment of low rectal cancer. Roboti...

Automatic Multiple-Needle Surgical Planning of Robotic-Assisted Microwave Coagulation in Large Liver Tumor Therapy.

The "robotic-assisted liver tumor coagulation therapy" (RALTCT) system is a promising candidate for large liver tumor treatment in terms of accuracy a...