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

Aki A Tanimoto1,2, Cara E Morin3,4, Andrew H Schapiro3,4

  • 1Cincinnati Children's Hospital Medical Center, Cincinnati, United States. aki.tanimoto@cchmc.org.

Pediatric Radiology
|November 12, 2025
PubMed

Insights

Pediatric pulmonary nodules are common, appearing in healthy children and those with cancer. Current guidelines lack clarity for incidental nodule follow-up in children, necessitating further research and AI applications.

Area of Science:

  • Pediatric Pulmonology
  • Thoracic Imaging
  • Oncology

Background:

  • Pulmonary nodules are frequently found in pediatric patients, both in healthy children and those with malignancies.
  • Distinguishing benign from malignant pediatric pulmonary nodules based on imaging features remains challenging.
  • Existing guidelines for incidental nodule management in adults do not directly translate to pediatric populations.

Purpose of the Study:

  • To review the epidemiology, histology, and imaging characteristics of pediatric pulmonary nodules.
  • To discuss various causes of pulmonary nodules in children, including metastases, primary lung cancer, and benign conditions.
  • To explore the emerging role of artificial intelligence in evaluating pediatric pulmonary nodules.

Main Methods:

  • Literature review of pediatric pulmonary nodule research.
  • Analysis of epidemiological data, histological findings, and imaging features.
  • Discussion of current and potential applications of artificial intelligence (AI) in diagnosis.

Main Results:

  • Pulmonary nodules in children have diverse etiologies, with metastases being common in malignant cases.
  • Healthy children can also present with pulmonary nodules, complicating diagnosis.
  • There is a lack of established guidelines for managing incidental pulmonary nodules in pediatric patients.

Conclusions:

  • Pediatric pulmonary nodules require careful evaluation due to varied causes and diagnostic challenges.
  • Development of specific guidelines for pediatric nodule follow-up is crucial.
  • Artificial intelligence shows promise for improving the accuracy and efficiency of pediatric pulmonary nodule assessment.