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Pulmonary Dysfunction and Disease

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Attention for Chapter 23: Airway Evaluation with Multidetector Computed Tomography Post-Processing Methods in Asthmatic Patients
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Chapter title
Airway Evaluation with Multidetector Computed Tomography Post-Processing Methods in Asthmatic Patients
Chapter number 23
Book title
Pulmonary Dysfunction and Disease
Published in
Advances in experimental medicine and biology, January 2016
DOI 10.1007/5584_2016_23
Pubmed ID
Book ISBNs
978-3-31-942009-7, 978-3-31-942010-3
Authors

Mateusz Patyk, Andrzej Obojski, Łukasz Gojny, Bernard Panaszek, Urszula Zaleska-Dorobisz

Abstract

Asthma is a chronic inflammatory obstructive airways disease. The disease occurs regardless of age and manifests with cough, attacks of breathlessness, and tightness in the chest. The pathophysiology of asthma is complex and still not fully understood. It is essential to find answers concerning the role of each part of the bronchial tree in asthma, especially the role of small bronchioles. With the development of newer generations of multidetector computed tomography (MDCT) and advanced post-processing methods it is possible to obtain more detailed images and gain insight into further aspects of asthma. MDCT post-processing methods can be divided into two-dimensional (2D) and three-dimensional (3D). In 2D projections, visualized hypodense regions correspond to the airway flow limitations. With the more advanced methods, such as multi planar reconstructions (MPR), images in different planes (axial, coronal, or sagittal) can be created. In the MPR technique only the voxels which are adjacent to each other in the predetermined plane can be extracted from the data set. Using the minimal/maximal intensity projections and shaded surface display, the volume of interest (VOI) can be extracted. High resolution CT scans can be used to create a more advanced imaging tool - the virtual bronchoscopy (VB). Using the VB makes it possible to visualize regions of obturation in the bronchi of up to the 5-8th generation. The MDCT with advanced post-processing methods is likely to assume an important role in the differential diagnosis of asthma, particularly when the diagnosis is dubious or hard to settle due to accompanying other lung diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 21%
Student > Ph. D. Student 2 14%
Researcher 2 14%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Medicine and Dentistry 6 43%
Nursing and Health Professions 1 7%
Unspecified 1 7%
Chemistry 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 June 2017.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Advances in experimental medicine and biology
#2,515
of 4,957 outputs
Outputs of similar age
#231,994
of 394,414 outputs
Outputs of similar age from Advances in experimental medicine and biology
#221
of 444 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,957 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 394,414 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 444 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.