Pulmonology

Human pulmonary artery endothelial cells in the model of mucopolysaccharidosis VI present a prohypertensive phenotype.

BACKGROUND: Mucopolysaccharidosis type VI (MPS VI) is an autosomal recessive lysosomal disorder caused by a deficient activity of N-acetylgalactosamine-4-sulfatase (ARSB). Pulmonary hypertension (PH) occurs in MPS VI patients and is a marker of bad prognosis. Malfunction of endothelium, which regulates vascular tonus and stimulates angiogenesis, can contribute to the occurrence of PH in MPS VI.

[Robot-assisted surgery in visceral and thoracic surgery gynaecology, urology--importantanaesthetic considerations].

Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of application. Beside urology, this technique has also been implemented in visceral and thoracic surgery and gynaecology. For the surgeon an enhanced view of the surgical field and a better mobility of the instruments are the most important advantages. Thus, it is possible to work more accurate and prevent i...

Segmentation of pulmonary nodules in computed tomography using a regression neural network approach and its application to the Lung Image Database Consortium and Image Database Resource Initiative dataset.

We present new pulmonary nodule segmentation algorithms for computed tomography (CT). These include a fully-automated (FA) system, a semi-automated (S...

Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector machine (SVM) ensembles and their "nonensemble" va...

Impact of robot-assisted laparoscopic prostatectomy on the management of general anesthesia: efficacy of blood withdrawal during a steep Trendelenburg position.

INTRODUCTION: Robot-assisted laparoscopic prostatectomy (RALP) is being increasingly used. However, a steep Trendelenburg position and pneumoperitoneu...

IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.

Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one of the most striking manifestations. Although it c...

A Comparison of SVM and GMM-Based Classifier Configurations for Diagnostic Classification of Pulmonary Sounds.

GOAL: The aim of this study is to find a useful methodology to classify multiple distinct pulmonary conditions including the healthy condition and var...

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine.

BACKGROUND: Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled growth of abnormal cells in the lung. A computed tomograp...

Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns about the safety of this approach because the positi...

Development of system using beam's eye view images to measure respiratory motion tracking errors in image-guided robotic radiosurgery system.

The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be patient-dependent because the SRTS relies on an indivi...

A novel neural-inspired learning algorithm with application to clinical risk prediction.

Clinical risk prediction - the estimation of the likelihood an individual is at risk of a disease - is a coveted and exigent clinical task, and a corn...

Classification of lung cancer using ensemble-based feature selection and machine learning methods.

Lung cancer is one of the leading causes of death worldwide. There are three major types of lung cancers, non-small cell lung cancer (NSCLC), small ce...

Robotic and video-assisted thoracic surgery lung segmentectomy for malignant and benign lesions.

OBJECTIVES: The experience with robotic techniques (RATS) and video-assisted thoracic surgery (VATS) in pulmonary segmentectomy is still limited. We e...

Three-dimensional SVM with latent variable: application for detection of lung lesions in CT images.

The study aims to improve the performance of current computer-aided schemes for the detection of lung lesions, especially the low-contrast in gray den...

Preliminary clinical experience with a dedicated interventional robotic system for CT-guided biopsies of lung lesions: a comparison with the conventional manual technique.

OBJECTIVE: Evaluate the performance of a robotic system for CT-guided lung biopsy in comparison to the conventional manual technique.

Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease.

The purpose of this study was to develop automatic classifiers to simplify the clinical use and increase the accuracy of the forced oscillation techni...

The method and efficacy of support vector machine classifiers based on texture features and multi-resolution histogram from (18)F-FDG PET-CT images for the evaluation of mediastinal lymph nodes in patients with lung cancer.

OBJECTIVES: In clinical practice, image analysis is dependent on simply visual perception and the diagnostic efficacy of this analysis pattern is limi...

Quantitative analysis of mitochondrial morphology and membrane potential in living cells using high-content imaging, machine learning, and morphological binning.

Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) has been hampered by the lack of automated, determi...

A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data.

BACKGROUND: Venous thromboembolisms (VTEs), which include deep vein thrombosis (DVT) and pulmonary embolism (PE), are associated with significant mort...

A robust method for online heart sound localization in respiratory sound based on temporal fuzzy c-means.

This work presents a detailed framework to detect the location of heart sound within the respiratory sound based on temporal fuzzy c-means (TFCM) algo...