Chronic diffuse infiltrative lung disease: determination of the diagnostic value of clinical data, chest radiography, and CT and Bayesian analysis.
Details
Serval ID
serval:BIB_CEDD84607D2C
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Chronic diffuse infiltrative lung disease: determination of the diagnostic value of clinical data, chest radiography, and CT and Bayesian analysis.
Journal
Radiology
ISSN
0033-8419 (Print)
ISSN-L
0033-8419
Publication state
Published
Issued date
1994
Volume
191
Number
2
Pages
383-390
Language
english
Abstract
PURPOSE: To assess the value of clinical, chest radiographic, and computed tomographic (CT) findings in classifying chronic diffuse infiltrative lung disease (CDILD) MATERIALS AND METHODS: Two samples from the same population were consecutively studied: the training set (group A, n = 208) for the development of the decision aid and the test set (group B, n = 100) for validation. Computer-aided diagnoses were made with a Bayesian model that assigned to each patient diagnostic probabilities based on clinical, radiographic, or CT variables. RESULTS: In group A, a correct diagnosis based on clinical data was obtained in 29% of cases; radiography, 9%; and CT, 36%. This increased to 54% when clinical and radiographic variables were combined (P < .0001) and to 80% when data from all three were analyzed together (P < .0001). With prior and conditional probabilities determined from group A, the frequency of correct diagnosis in group B was 27% with clinical data, which increased to 53% (P < .0001) with radiographic findings and 61% after including CT data (P = .07). CONCLUSION: CT can help determine the specific diagnosis in patients with CDILD.
Keywords
Bayes Theorem, Diagnosis, Computer-Assisted, Female, Humans, Lung/radiography, Lung Diseases, Interstitial/epidemiology, Lung Diseases, Interstitial/radiography, Male, Middle Aged, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed
Pubmed
Create date
31/08/2011 13:46
Last modification date
20/08/2019 16:49