Use of 3-dimensional computed tomography reconstruction studies in the preoperative assessment of patients undergoing balloon dilatation for tracheobronchial stenosis. (25/132)

BACKGROUND: Balloon dilatation (BD) is a useful method of treating tracheobronchial stenosis (TBS); however, accurate preoperative identification of the lesion is difficult. Three-dimensional computed tomography (3D-CT) is an imaging method that may allow more accurate definition of the lesion(s) preoperatively. STUDY OBJECTIVE: It is the aim of this study to present our finding using 3D-CT as a part of the preoperative evaluation of patients with TBS undergoing BD. METHODS: We studied a prospective case series of 17 consecutive patients who underwent 29 BDs for TBS from a variety of benign and malignant causes at a tertiary care hospital. All patients had a preoperative spiral CT; these data were processed by a software program, VIDA, which was developed at this institution, and 3D-CT reconstruction images of the TBS were created. This enabled accurate preoperative anatomic definition of the lesion. The patients subsequently underwent BD. RESULTS: All 17 patients had lesions identified with 3D-CT. Six patients had tracheal lesions and 12 patients had main stem lesions. One patient had combined tracheal and main stem lesions and 2 other patients had bilateral main stem lesions. Nine out of 17 patients required only one BD. One patient had a failed BD. The remaining 6 patients required more than one BD for optimal results (up to a maximum of 4). The follow-up period ranged from 1 to 34 months. CONCLUSIONS: 3D-CT offers accurate definition of TBS, including anatomic location, number of lesions present and status of airway distal to lesion. In this study, all preoperative lesions were correctly identified prior to BD.  (+info)

Christmas surprise: the unnoticed journey of a needle-from bronchus to intestine. (26/132)

We report on a 14-year-old Arabian girl who suddenly developed coughing after having aspirated a needle used for fixing her headscarf. The chest X-ray showed the needle located in the right main bronchus. However, subsequent flexible bronchoscopy could not detect any foreign body. A further X-ray of the abdomen showed the needle now behind the diaphragm. Gastro-oesophageal endoscopy was also uneventful. On the third day, the needle was excreted naturally. Astonishingly, this journey of the wandering needle from bronchus to intestine was not realised by the patient at any time. Our case highlights that children and adolescents should be warned repeatedly about the risks of putting needles between their teeth. It also reminds the physician to diagnose aspirated foreign bodies as early as possible to prevent wandering and migrating, which may induce new risks and unnecessary diagnostic and therapeutic procedures.  (+info)

Fully automated system for three-dimensional bronchial morphology analysis using volumetric multidetector computed tomography of the chest. (27/132)

Recent advancements in computed tomography (CT) have enabled quantitative assessment of severity and progression of large airway damage in chronic pulmonary disease. The advent of fast multidetector computed tomography scanning has allowed the acquisition of rapid, low-dose 3D volumetric pulmonary scans that depict the bronchial tree in great detail. Volumetric CT allows quantitative indices of bronchial airway morphology to be calculated, including airway diameters, wall thicknesses, wall area, airway segment lengths, airway taper indices, and airway branching patterns. However, the complexity and size of the bronchial tree render manual measurement methods impractical and inaccurate. We have developed an integrated software package utilizing a new measurement algorithm termed mirror-image Gaussian fit that enables the user to perform automated bronchial segmentation, measurement, and database archiving of the bronchial morphology in high resolution and volumetric CT scans and also allows 3D localization, visualization, and registration.  (+info)

Intrathoracic airway trees: segmentation and airway morphology analysis from low-dose CT scans. (28/132)

The segmentation of the human airway tree from volumetric computed tomography (CT) images builds an important step for many clinical applications and for physiological studies. Previously proposed algorithms suffer from one or several problems: leaking into the surrounding lung parenchyma, the need for the user to manually adjust parameters, excessive runtime. Low-dose CT scans are increasingly utilized in lung screening studies, but segmenting them with traditional airway segmentation algorithms often yields less than satisfying results. In this paper, a new airway segmentation method based on fuzzy connectivity is presented. Small adaptive regions of interest are used that follow the airway branches as they are segmented. This has several advantages. It makes it possible to detect leaks early and avoid them, the segmentation algorithm can automatically adapt to changing image parameters, and the computing time is kept within moderate values. The new method is robust in the sense that it works on various types of scans (low-dose and regular dose, normal subjects and diseased subjects) without the need for the user to manually adjust any parameters. Comparison with a commonly used region-grow segmentation algorithm shows that the newly proposed method retrieves a significantly higher count of airway branches. A method that conducts accurate cross-sectional airway measurements on airways is presented as an additional processing step. Measurements are conducted in the original gray-level volume. Validation on a phantom shows that subvoxel accuracy is achieved for all airway sizes and airway orientations.  (+info)

Matching and anatomical labeling of human airway tree. (29/132)

Matching of corresponding branchpoints between two human airway trees, as well as assigning anatomical names to the segments and branchpoints of the human airway tree, are of significant interest for clinical applications and physiological studies. In the past, these tasks were often performed manually due to the lack of automated algorithms that can tolerate false branches and anatomical variability typical for in vivo trees. In this paper, we present algorithms that perform both matching of branchpoints and anatomical labeling of in vivo trees without any human intervention and within a short computing time. No hand-pruning of false branches is required. The results from the automated methods show a high degree of accuracy when validated against reference data provided by human experts. 92.9% of the verifiable branchpoint matches found by the computer agree with experts' results. For anatomical labeling, 97.1% of the automatically assigned segment labels were found to be correct.  (+info)

In vitro validation of computational fluid dynamic simulation in human proximal airways with hyperpolarized 3He magnetic resonance phase-contrast velocimetry. (30/132)

Computational fluid dynamics (CFD) and magnetic resonance (MR) gas velocimetry were concurrently performed to study airflow in the same model of human proximal airways. Realistic in vivo-based human airway geometry was segmented from thoracic computed tomography. The three-dimensional numerical description of the airways was used for both generation of a physical airway model using rapid prototyping and mesh generation for CFD simulations. Steady laminar inspiratory experiments (Reynolds number Re = 770) were performed and velocity maps down to the fourth airway generation were extracted from a new velocity mapping technique based on MR velocimetry using hyperpolarized (3)He gas. Full two-dimensional maps of the velocity vector were measured within a few seconds. Numerical simulations were carried out with the experimental flow conditions, and the two sets of data were compared between the two modalities. Flow distributions agreed within 3%. Main and secondary flow velocity intensities were similar, as were velocity convective patterns. This work demonstrates that experimental and numerical gas velocity data can be obtained and compared in the same complex airway geometry. Experiments validated the simulation platform that integrates patient-specific airway reconstruction process from in vivo thoracic scans and velocity field calculation with CFD, hence allowing the results of this numerical tool to be used with confidence in potential clinical applications for lung characterization. Finally, this combined numerical and experimental approach of flow assessment in realistic in vivo-based human airway geometries confirmed the strong dependence of airway flow patterns on local and global geometrical factors, which could contribute to gas mixing.  (+info)

Imaging techniques for small animal imaging models of pulmonary disease: micro-CT. (31/132)

Microcomputed tomography (micro-CT) is ideal for quantifying pulmonary disease because of the inherent contrast between tissue and air that exists in the lungs. Both in vivo and in vitro studies can be performed using micro-CT. Live animal studies show function, while fixed specimen studies show structure. Through the use of image processing techniques, both acute and chronic lung diseases can be quantified. The information provided by micro-CT is complementary to histological evaluation, since CT is nondestructive. This paper discusses two examples, in vivo and in vitro, of how micro-CT can be used to assess pulmonary diseases in small animal models. With the use of micro-CT, we were able to quantify pulmonary fibrosis in the live rat and investigate the microstructure of the airway in fixed mouse lungs.  (+info)

Mounier-Kuhn syndrome: a rare cause of severe bronchial dilatation with normal pulmonary function test: a case report. (32/132)

Tracheobronchomegaly (TBM) (Mounier-Kuhn syndrome) is dilatation of the trachea and major bronchi because of atrophy or absence of elastic fibers and smooth muscle cells. We present a case of TBM with normal pulmonary function test (PFT). The patient was a 37-year-old man with increasing productive cough and without fever, wheezes, chest pain, weight loss or any respiratory disease. Chest helical computed tomography (CT) scan showed tracheomegaly with transversal diameters of the trachea of 44mm. CT scan showed collapse of the trachea. Few large diverticular out-pouching and openings in the trachea was seen in bronchoscopy. PFT results were normal. PFT in large airway disorders may be normal while abnormalities may indicate underlying small airway disorder. An underlying small airway disorders is responsible for abnormal reports in PFT of these patients. We may need to re-evaluate the role of PFT within follow-up of patients with large airway disorder.  (+info)