Chronic diffuse infiltrative lung disease: determination of the diagnostic value of clinical data, chest radiography, and CT and Bayesian analysis
| Autor: | Philippe Grenier, Michel Brauner, Catherine Beigelman, S Chevret, Dominique Valeyre, C Chastang |
|---|---|
| Rok vydání: | 1994 |
| Předmět: |
Male
medicine.medical_specialty Radiography Population Sensitivity and Specificity Group B medicine Humans Radiology Nuclear Medicine and imaging Diagnosis Computer-Assisted Medical diagnosis education Lung Retrospective Studies education.field_of_study business.industry Respiratory disease Bayes Theorem Retrospective cohort study Middle Aged medicine.disease medicine.anatomical_structure Female Radiology Tomography Lung Diseases Interstitial Tomography X-Ray Computed Nuclear medicine business |
| Zdroj: | Radiology. 191:383-390 |
| ISSN: | 1527-1315 0033-8419 |
| Popis: | 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.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).CT can help determine the specific diagnosis in patients with CDILD. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|