Assessment of COPD severity by combining pulmonary function tests and chest CT images.
Int J Comput Assist Radiol Surg
; 8(3): 353-63, 2013 May.
Article
em En
| MEDLINE
| ID: mdl-23225021
ABSTRACT
PURPOSE:
Chronic obstructive pulmonary disease (COPD) is characterized by airflow limitations. Physicians frequently assess the stage using pulmonary function tests and chest CT images. This paper describes a novel method to assess COPD severity by combining measurements of pulmonary function tests (PFT) and the results of chest CT image analysis.METHODS:
The proposed method utilizes measurements from PFTs and chest CT scans to assess COPD severity. This method automatically classifies COPD severity into five stages, described in GOLD guidelines, by a multi-class AdaBoost classifier. The classifier utilizes 24 measurements as feature values, which include 18 measurements from PFTs and six measurements based on chest CT image analysis. A total of 3 normal and 46 abnormal (COPD) examinations performed in adults were evaluated using the proposed method to test its diagnostic capability.RESULTS:
The experimental results revealed that its accuracy rates were 100.0 % (resubstitution scheme) and 53.1 % (leave-one-out scheme). A total of 95.7 % of missed classifications were assigned in the neighboring severities.CONCLUSIONS:
These results demonstrate that the proposed method is a feasible means to assess COPD severity. A much larger sample size will be required to establish the limits of the method and provide clinical validation.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Testes de Função Respiratória
/
Tomografia Computadorizada por Raios X
/
Doença Pulmonar Obstrutiva Crônica
Tipo de estudo:
Guideline
Limite:
Adult
/
Aged
/
Aged80
/
Female
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Humans
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Male
/
Middle aged
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article