Mucus Distribution Model in a Lung with Cystic Fibrosis
Cystic fibrosis (CF) is the most common autosomal recessive disease in Caucasians with a reported incidence of 1 in every 3200 live births. Most strikingly, CF is associated with early mortality. Host in flammatory responses result in airway mucus plugging, airway wall edema, and eventual destructio...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2012/970809 |
id |
doaj-73180efcf5254196b888ce14c169fc04 |
---|---|
record_format |
Article |
spelling |
doaj-73180efcf5254196b888ce14c169fc042020-11-25T00:36:01ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182012-01-01201210.1155/2012/970809970809Mucus Distribution Model in a Lung with Cystic FibrosisSara Zarei0Ali Mirtar1Forest Rohwer2Douglas J. Conrad3Rebecca J. Theilmann4Peter Salamon5Computational Science Research Center, San Diego State University, San Diego, CA 92182, USAElectrical and Computer Engineering Department, University of California, San Diego, La Jolla, CA 92093, USADepartment of Biology, San Diego State University, San Diego, CA 92182, USASchool of Medicine, University of California, San Diego, La Jolla, CA 92093, USADepartment of Radiology, University of California, San Diego, La Jolla, CA 92093, USADepartment of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USACystic fibrosis (CF) is the most common autosomal recessive disease in Caucasians with a reported incidence of 1 in every 3200 live births. Most strikingly, CF is associated with early mortality. Host in flammatory responses result in airway mucus plugging, airway wall edema, and eventual destruction of airway wall support structure. Despite aggressive treatment, the median age of survival is approximately 38 years. This work is the first attempt to parameterize the distributions of mucus in a CF lung as a function of time. By default, the model makes arbitrary choices at each stage of the construction process, whereby the simplest choice is made. The model is sophisticated enough to fit the average CF patients' spirometric data over time and to identify several interesting parameters: probability of colonization, mucus volume growth rate, and scarring rate. Extensions of the model appropriate for describing the dynamics of single patient MRI data are also discussed.http://dx.doi.org/10.1155/2012/970809 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sara Zarei Ali Mirtar Forest Rohwer Douglas J. Conrad Rebecca J. Theilmann Peter Salamon |
spellingShingle |
Sara Zarei Ali Mirtar Forest Rohwer Douglas J. Conrad Rebecca J. Theilmann Peter Salamon Mucus Distribution Model in a Lung with Cystic Fibrosis Computational and Mathematical Methods in Medicine |
author_facet |
Sara Zarei Ali Mirtar Forest Rohwer Douglas J. Conrad Rebecca J. Theilmann Peter Salamon |
author_sort |
Sara Zarei |
title |
Mucus Distribution Model in a Lung with Cystic Fibrosis |
title_short |
Mucus Distribution Model in a Lung with Cystic Fibrosis |
title_full |
Mucus Distribution Model in a Lung with Cystic Fibrosis |
title_fullStr |
Mucus Distribution Model in a Lung with Cystic Fibrosis |
title_full_unstemmed |
Mucus Distribution Model in a Lung with Cystic Fibrosis |
title_sort |
mucus distribution model in a lung with cystic fibrosis |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2012-01-01 |
description |
Cystic fibrosis (CF) is the most common autosomal recessive disease in Caucasians with a reported incidence of 1 in every 3200 live births. Most strikingly, CF is associated with early mortality. Host in flammatory responses result in airway mucus plugging, airway wall edema, and eventual destruction of airway wall support structure. Despite aggressive treatment, the median age of survival is approximately 38 years. This work is the first attempt to parameterize the distributions of mucus in a CF lung as a function of time. By default, the model makes arbitrary choices at each stage of the construction process, whereby the simplest choice is made. The model is sophisticated enough to fit the average CF patients' spirometric data over time and to identify several interesting parameters: probability of colonization, mucus volume growth rate, and scarring rate. Extensions of the model appropriate for describing the dynamics of single patient MRI data are also discussed. |
url |
http://dx.doi.org/10.1155/2012/970809 |
work_keys_str_mv |
AT sarazarei mucusdistributionmodelinalungwithcysticfibrosis AT alimirtar mucusdistributionmodelinalungwithcysticfibrosis AT forestrohwer mucusdistributionmodelinalungwithcysticfibrosis AT douglasjconrad mucusdistributionmodelinalungwithcysticfibrosis AT rebeccajtheilmann mucusdistributionmodelinalungwithcysticfibrosis AT petersalamon mucusdistributionmodelinalungwithcysticfibrosis |
_version_ |
1725306499074359296 |