ArticleSao Paulo medical journal = Revista paulista de medicina2010
A computed tomography scoring system to assess pulmonary disease among premature infants.
Article in Sao Paulo medical journal = Revista paulista de medicina, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Lung MRI scoring reveals persistence of emphysema-like changes in lungs of infants born preterm at (pre)school age.ERJ open research · 2025Article
- Dynamic computed tomography for evaluation of tracheobronchomalacia in premature infants with bronchopulmonary dysplasia.Pediatric pulmonology · 2023Article
- Bronchopulmonary dysplasia from chest radiographs to magnetic resonance imaging and computed tomography: adding value.Pediatric radiology · 2022Review
- Lung growth and pulmonary function after prematurity and bronchopulmonary dysplasia.Pediatric pulmonology · 2021Review
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7 authors.
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Abstract
CONTEXT AND
objectiveHigh-resolution computed tomography (HRCT) is considered to be the best method for detailed pulmonary evaluation. The aim here was to describe a scoring system based on abnormalities identified on HRCT among premature infants, and measure the predictive validity of the score in relation to respiratory morbidity during the first year of life. DESIGN AND
settingProspective cohort study in Instituto Fernandes Figueira, Fundação Oswaldo Cruz.
methodsScoring system based on HRCT abnormalities among premature newborns. The affected lung area was quantified according to the number of compromised lobes, in addition to bilateral pulmonary involvement. Two radiologists applied the score to 86 HRCT scans. Intraobserver and interobserver agreement were analyzed. The score properties were calculated in relation to predictions of respiratory morbidity during the first year of life.
resultsMost of the patients (85%) presented abnormalities on HRCT, and among these, 56.2% presented respiratory morbidity during the first year of life. Scores ranged from zero to 12. There was good agreement between observers (intraclass correlation coefficient, ICC = 0.86, confidence interval, CI: 0.64-0.83). The predictive scores were as follows: positive predictive value 81.8%, negative predictive value 56.3%, sensitivity 39.1%, and specificity 90.0%.
conclusionThe scoring system is reproducible, easy to apply and allows HRCT comparisons among premature infants, by identifying patients with greater likelihood of respiratory morbidity during the first year of life. Its use will enable HRCT comparisons among premature infants with different risk factors for respiratory morbidity.
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