Results 31 to 40 of about 96,005 (269)
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images [PDF]
Accurately and precisely characterizing the morphology of small pulmonary structures from Computed Tomography (CT) images, such as airways and vessels, is becoming of great importance for diagnosis of pulmonary diseases. The smaller conducting airways are the major site of increased airflow resistance in chronic obstructive pulmonary disease (COPD ...
arxiv +1 more source
Structure and position-aware graph neural network for airway labeling [PDF]
We present a novel graph-based approach for labeling the anatomical branches of a given airway tree segmentation. The proposed method formulates airway labeling as a branch classification problem in the airway tree graph, where branch features are extracted using convolutional neural networks (CNN) and enriched using graph neural networks.
arxiv
Yuqi Li,1,2,* Changjin Ji,1,2,* Weiao Sun,1,2 Huahui Xiong,1,2 Zheng Li,3 Xiaoqing Huang,1,2 Tingting Fan,1,2 Junfang Xian,3 Yaqi Huang1,2 1School of Biomedical Engineering, Capital Medical University, Beijing, People’s Republic of China ...
Li Y+8 more
doaj
Pediatric obstructive sleep apnea (OSA), a relatively common sleep-related breathing disorder affecting ∼1-5% of children, is often caused by anatomical obstruction and/or collapse of the nasal and/or pharyngeal airways.
Pranidhi Baddam+11 more
doaj +1 more source
Extraction of Pulmonary Airway in CT Scans Using Deep Fully Convolutional Networks [PDF]
Accurate, automatic and complete extraction of pulmonary airway in medical images plays an important role in analyzing thoracic CT volumes such as lung cancer detection, chronic obstructive pulmonary disease (COPD), and bronchoscopic-assisted surgery navigation.
arxiv
Importance of slow vital capacity in the detection of airway obstruction
OBJECTIVE: To investigate the presence of airway obstruction by determining the FEV1/FVC and FEV1/slow vital capacity (SVC) ratios. METHODS: This was a quantitative, retrospective cross-sectional study.
Ana Raquel Goncalves de Barros+2 more
doaj +1 more source
Predicting Development of Chronic Obstructive Pulmonary Disease and its Risk Factor Analysis [PDF]
Chronic Obstructive Pulmonary Disease (COPD) is an irreversible airway obstruction with a high societal burden. Although smoking is known to be the biggest risk factor, additional components need to be considered. In this study, we aim to identify COPD risk factors by applying machine learning models that integrate sociodemographic, clinical, and ...
arxiv
Lung function in Lolland‐Falster Health Study (LOFUS)
Background COPD prevalence in Denmark is estimated at 18% based on data from urban populations. However, studies suggest that using the clinical cut‐off for airway obstruction in population studies may overestimate prevalence.
Katja Kemp Jacobsen+4 more
doaj +1 more source
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning [PDF]
Intrathoracic airway segmentation in computed tomography (CT) is a prerequisite for various respiratory disease analyses such as chronic obstructive pulmonary disease (COPD), asthma and lung cancer. Unlike other organs with simpler shapes or topology, the airway's complex tree structure imposes an unbearable burden to generate the "ground truth" label (
arxiv
Central airway obstruction presents as an emergency with dyspnea and stridor. Anesthetic management of rigid bronchoscopy-guided tracheal stenting is highly stimulating procedure requiring general anesthesia.
Sakshi Thakore+3 more
doaj