Evaluation of inter-observer variation for computed tomography identification of childhood interstitial lung disease

Joseph Jacob1,2, Catherine M Owens3, Alan S Brody4

  • 1Dept of Respiratory Medicine, University College London, London, UK.

ERJ Open Research
|August 2, 2019
PubMed

Insights

Diagnosing interstitial lung disease in children (chILD) using CT scans is unreliable, even for experts. Combining CT results with clinical, functional, and blood test data in a team setting can improve diagnostic accuracy for chILD.

Area of Science:

  • Pulmonology
  • Radiology
  • Pediatrics

Background:

  • Interstitial lung diseases in children (chILD) present diagnostic challenges.
  • Computed Tomography (CT) is a key imaging modality, but its interpretation for chILD is known to be variable.

Purpose of the Study:

  • To assess the reproducibility of chILD diagnoses made on CT scans.
  • To determine if integrating clinical, functional, and laboratory data improves diagnostic confidence.

Main Methods:

  • Review of CT scans for chILD diagnoses by sub-specialists.
  • Analysis of diagnostic concordance and factors influencing confidence.

Main Results:

  • CT interpretation for chILD showed poor reproducibility among sub-specialists.
  • Diagnostic confidence was enhanced when CT findings were considered alongside clinical, functional, and hematological data.

Conclusions:

  • CT interpretation alone is insufficient for reliable chILD diagnosis.
  • A multidisciplinary approach integrating imaging with comprehensive patient data is crucial for improving diagnostic accuracy in pediatric interstitial lung disease.

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