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Pulmonary measles disease: old and new imaging tools.
- Source :
-
La Radiologia medica [Radiol Med] 2018 Dec; Vol. 123 (12), pp. 935-943. Date of Electronic Publication: 2018 Jul 30. - Publication Year :
- 2018
-
Abstract
- Background: Measles virus can cause lower respiratory tract infection, so that chest radiography is necessary to investigate lung involvement in patients with respiratory distress.<br />Purpose: To assess measles pneumonia imaging during the measles outbreak occurred in 2016-2017 in Italy.<br />Material and Methods: We retrospectively observed adult patients with a serological diagnosis of measles, who underwent chest-X rays for suspected pneumonia. If a normal radiography resulted, the patient underwent unenhanced CT. A CT post processing software package was used for an additional quantitative lung and airway involvement analysis .<br />Results: Among 290 patients affected by measles, 150 underwent chest-X ray. Traditional imaging allowed the pneumonia diagnosis in 114 patients (76%). The most frequent abnormality at chest X-rays was bronchial wall thickening, observed in 88.5% of the cases; radiological findings are faint in the 25% of the cases (29/114 patients). In nine subjects with a normal chest X-ray, unenhanced CT with a quantitative analysis was performed, and depicted features consistent with constrictive bronchiolitis.<br />Conclusion: Measles may produce bronchiolitis and pneumonia. In the cases in which involvement of pulmonary parenchyma is not sufficient to result in radiological abnormalities, CT used with a dedicated postprocessing software package, provides an accurate lungs and airways analysis, also determining the percentage of lung involvement.
- Subjects :
- Adolescent
Adult
Aged
Disease Outbreaks
Female
Humans
Italy epidemiology
Male
Measles epidemiology
Middle Aged
Pneumonia, Viral epidemiology
Radiographic Image Interpretation, Computer-Assisted
Radiography, Thoracic
Retrospective Studies
Measles diagnostic imaging
Pneumonia, Viral diagnostic imaging
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 1826-6983
- Volume :
- 123
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- La Radiologia medica
- Publication Type :
- Academic Journal
- Accession number :
- 30062499
- Full Text :
- https://doi.org/10.1007/s11547-018-0919-y