# Pediatric pulmonary nodules: current state of knowledge, AI applications, and future directions

**Authors:** Aki A. Tanimoto, Cara E. Morin, Andrew H. Schapiro, Eric J. Crotty, Andrew T. Trout, Jonathan R. Dillman, Russell C. Hardie

PMC · DOI: 10.1007/s00247-025-06447-4 · Pediatric Radiology · 2025-11-12

## TL;DR

This paper reviews the current understanding of pulmonary nodules in children, including their causes and the use of AI in evaluating them.

## Contribution

The paper provides a comprehensive review of AI applications for evaluating pediatric pulmonary nodules.

## Key findings

- Pediatric pulmonary nodules are often benign but can be malignant, with metastases being the most common malignant type.
- There are no definitive imaging features to distinguish benign from malignant nodules in children.
- AI is being explored as a tool for evaluating pediatric pulmonary nodules.

## Abstract

Pulmonary nodules are commonly encountered in pediatric patients. While metastases make up the majority of malignant pulmonary nodules found in children, nodules are also frequently identified in healthy children. Currently, there are no definitive nodule features to differentiate benign from malignant nodules, and there are no guidelines for incidental nodule follow-up in children similar in scope to the 2017 Fleischner Society Guidelines for adults. In this review, we discuss the epidemiology, histology, and imaging findings of pulmonary nodules found in healthy children, pulmonary metastases, primary pediatric lung cancer, and other causes of pulmonary nodules in children. We also explore current applications of artificial intelligence for the evaluation of pediatric pulmonary nodules.

## Full-text entities

- **Diseases:** metastases (MESH:D009362), lung cancer (MESH:D008175), Pulmonary nodules (MESH:D055613)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12831686/full.md

## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12831686/full.md

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Source: https://tomesphere.com/paper/PMC12831686