Imaging Spectrum of Childhood Interstitial Lung Diseases: Focus on Disorders Not Specific to Infancy

Orito Ikeda1, Yuko Tsujioka1, Gen Nishimura2

  • 1Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, Japan 160-8582.

Insights

Childhood interstitial lung disease (chILD) is a group of rare conditions. High-resolution CT imaging is crucial for diagnosing chILD by integrating various findings for accurate identification.

Area of Science:

  • Pediatric Pulmonology
  • Radiology
  • Rare Diseases

Background:

  • Childhood interstitial lung disease (chILD) encompasses diverse rare disorders previously lacking clear classification.
  • A new classification system by the chILD Research Network provides a systematic approach to identifying and categorizing these conditions.
  • chILDs are collectively frequent in pediatric practice, necessitating prompt diagnosis for improved outcomes.

Purpose of the Study:

  • To review current knowledge on imaging findings in childhood interstitial lung disease.
  • To highlight the role of high-resolution CT in diagnosing chILD.
  • To emphasize the integration of clinical, radiologic, pathologic, and genetic data for accurate diagnosis.

Main Methods:

  • Review of current scientific literature on chILD imaging.
  • Analysis of imaging findings in acute and chronic phases of chILD.
  • Integration of imaging patterns with clinical, pathological, and genetic data.

Main Results:

  • High-resolution CT is central to diagnosing chILD due to nonspecific clinical symptoms.
  • Acute-phase imaging may show ground-glass opacities and crazy-paving patterns.
  • Chronic-phase findings include reticulation, cysts, honeycombing, and mosaic attenuation, all requiring integration for diagnosis.

Conclusions:

  • Accurate diagnosis of chILD requires a multidisciplinary approach integrating diverse findings.
  • High-resolution CT imaging patterns, when meticulously analyzed, are key to identifying specific chILD diagnoses.
  • Early and precise diagnosis of chILD through integrated imaging improves patient outcomes.

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