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Updated: Apr 3, 2026

Protocol and Guidelines for Point-of-Care Lung Ultrasound in Diagnosing Neonatal Pulmonary Diseases Based on International Expert Consensus
Published on: March 6, 2019
Categorizing diffuse parenchymal lung disease in children
Matthias Griese1, Armin Irnstetter2, Meike Hengst3
1Department of Pediatric Pneumology, Dr. von Haunersches Kinderspital, University of Munich, German Center for Lung Research, Lindwurmstraße 4, 80337, Munich, Germany. matthias.griese@med.uni-muenchen.de.
Insights
A new system categorizes pediatric diffuse parenchymal lung diseases (DPLD) effectively, even with incomplete data. This workflow aids in consistent classification for better understanding of these complex pediatric lung conditions.
Area of Science:
- Pediatric Pulmonology
- Medical Informatics
Background:
- Pediatric Diffuse Parenchymal Lung Diseases (DPLD) require a dynamic and practical classification system.
- Existing systems may not accommodate incomplete patient data effectively.
Purpose of the Study:
- To verify a systematic and practical categorization system for pediatric DPLD.
- To enable dynamic classification irrespective of data completeness.
Main Methods:
- Utilized data from 2322 children in the kids-lung-register (1997-2012).
- Developed a workflow involving diagnosis, DPLD presence, systemic/lung condition determination, and category allocation.
- Validated the workflow with 100 re-categorized cases by two blinded raters.
Main Results:
- Two blinded raters achieved over 80% agreement in case re-categorization.
- Discrepancies were attributed to data limitations, rater knowledge, and system nuances.
Conclusions:
- The study presents a viable workflow and practical rules for pediatric DPLD categorization.
- Identified pitfalls and established a basis for international consensus guidelines.
Background:
Aim of this study was to verify a systematic and practical categorization system that allows dynamic classification of pediatric DPLD irrespective of completeness of patient data.
Methods:
The study was based on 2322 children submitted to the kids-lung-register between 1997 and 2012. Of these children 791 were assigned to 12 DPLD categories, more than 2/3 belonged to categories manifesting primarily in infancy. The work-flow of the pediatric DPLD categorization system included (i) the generation of a final working diagnosis, decision on the presence or absence of (ii) DPLD and (iii) a systemic or lung only condition, and (iv) the allocation to a category and subcategory. The validity and inter-observer dependency of this workflow was re-tested using a systematic sample of 100 cases.
Results:
Two blinded raters allocated more than 80% of the re-categorized cases identically. Non-identical allocation was due to lack of appreciation of all available details, insufficient knowledge of the classification rules by the raters, incomplete patient data, and shortcomings of the classification system itself.
Conclusions:
This study provides a suitable workflow and hand-on rules for the categorization of pediatric DPLD. Potential pitfalls were identified and a foundation was laid for the development of consensus-based, international categorization guidelines.
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