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Quantifying lung and diaphragm morphology using radiographs in normative pediatric subjects, and predicting CT-derived lung volume.

Mattan R OrbachSabah E ServaesOscar H MayerPatrick J CahillSriram Balasubramanian
Published in: Pediatric pulmonology (2021)
The reported pediatric age-specific reference data on 2D lung and diaphragm morphology and growth rates could be clinically used to identify lung and diaphragm pathologies during chest X-ray evaluations. The simple, precise, and clinically adaptable radiographic method for estimating CT-derived lung volumes may be used when pulmonary function tests are not readily available or difficult to perform.
Keyphrases
  • mechanical ventilation
  • computed tomography
  • image quality
  • magnetic resonance imaging
  • contrast enhanced
  • high resolution
  • machine learning
  • positron emission tomography
  • big data
  • artificial intelligence
  • deep learning