Science and Research

Magnetic resonance imaging-based scoring of the diseased lung in the preterm infant with bronchopulmonary dysplasia: UNiforme Scoring of the disEAsed Lung in BPD (UNSEAL BPD)

Neonatal chronic lung disease lacks standardized assessment of lung structural changes. We addressed this clinical need by the development of a novel scoring system [UNSEAL BPD (UNiforme Scoring of the disEAsed Lung in BPD)] using T2-weighted single-shot fast-spin-echo sequences from 3 T MRI in very premature infants with and without bronchopulmonary dysplasia (BPD). Quantification of interstitial and airway remodeling, emphysematous changes, and ventilation inhomogeneity was achieved by consensus scoring on a five-point Likert scale. We successfully identified moderate and severe disease by logistic regression [area under the curve (AUC), 0.89] complemented by classification tree analysis revealing gestational age-specific structural changes. We demonstrated substantial interreader reproducibility (weighted Cohen's κ 0.69) and disease specificity (AUC = 0.91). Our novel MRI score enables the standardized assessment of disease-characteristic structural changes in the preterm lung exhibiting significant potential as a quantifiable endpoint in early intervention clinical trials and long-term disease monitoring.

  • Förster, K.
  • Marchi, H.
  • Stöcklein, S.
  • Dietrich, O.
  • Ehrhardt, H.
  • Wielpütz, M. O.
  • Flemmer, A. W.
  • Schubert, B.
  • Mall, M. A.
  • Ertl-Wagner, B.
  • Hilgendorff, A.

Keywords

  • Infant
  • Humans
  • Infant, Newborn
  • *Infant, Premature
  • *Bronchopulmonary Dysplasia/diagnostic imaging/pathology
  • Reproducibility of Results
  • Lung/diagnostic imaging/pathology
  • Gestational Age
  • Magnetic Resonance Imaging
  • bronchopulmonary dysplasia
  • premature
Publication details
DOI: 10.1152/ajplung.00430.2021
Journal: Am J Physiol Lung Cell Mol Physiol
Pages: L114-l122 
Number: 2
Work Type: Original
Location: Assoziieter Partner, CPC-M, TLRC, UGMLC
Disease Area: PLI
Partner / Member: BIH, HMGU, JLU, LMU, UKHD
Access-Number: 36410026

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