Skip to main navigation Skip to search Skip to main content

Pediatric thyroid nodules: Ultrasonographic characteristics and inter-observer variability in prediction of malignancy

  • Dror Koltin
  • , Clodagh S. O'Gorman
  • , Amanda Murphy
  • , Bo Ngan
  • , Alan Daneman
  • , Oscar M. Navarro
  • , Cristian Garcia
  • , Eshetu G. Atenafu
  • , Jonathan D. Wasserman
  • , Jill Hamilton
  • , Marianna Rachmiel
  • University of Toronto
  • University Hospitals Limerick
  • Pontificia Universidad Católica de Chile
  • Princess Margaret Cancer Centre
  • Tel Aviv University

Research output: Contribution to journalArticlepeer-review

Abstract

Pediatric thyroid nodules, while uncommon, have high malignancy risk. The objectives of the study were (1) to identify sonographic features predictive of malignancy; (2) to create a prediction model; and (3) to assess inter-observer agreement among radiologists. Methods: All available cases of thyroid nodules, surgically removed between 2000 and 2009. Three radiologists reviewed the sonographic images; 2 pathologists reviewed the tissue specimens. Adult prediction models were applied. Interobserver variability was assessed. Results: Twenty-seven subjects, mean age 13.1±3.4 years, were included. Nineteen nodules were differentiated thyroid carcinomas. On multivariate analysis, size was the only significant predictor of malignancy. On recursive partitioning analysis, size >35 mm with microcalcification and ill-defined margins yielded the best prediction model. Radiologist inter-observer agreement regarding malignancy was moderate (κ=0.50). Conclusions: Larger size, microcalcifications and ill-defined margins on ultrasound demonstrate the best predictive model for malignancy in the pediatric population. Experienced pediatric radiologists demonstrate moderate inter-observer agreement in prediction of malignancy.

Original languageEnglish
Pages (from-to)789-794
Number of pages6
JournalJournal of Pediatric Endocrinology and Metabolism
Volume29
Issue number7
DOIs
Publication statusPublished - 1 Jul 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Inter-observer variability
  • prediction model
  • thyroid carcinoma
  • thyroid nodules
  • ultrasound

Fingerprint

Dive into the research topics of 'Pediatric thyroid nodules: Ultrasonographic characteristics and inter-observer variability in prediction of malignancy'. Together they form a unique fingerprint.

Cite this