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Age-specific risk of malignancy in pediatric thyroid cytology: Reframing ROM based on pre-test probability
Sule Canberk1, Zubair W Baloch2, Amber Isaza3
1Department of Pathology, Faculty of Medicine, RISE-Health, University of Porto (FMUP), 4200-319 Porto, Portugal.
The Journal of Clinical Endocrinology and Metabolism
|February 25, 2026
Summary
Thyroid nodule malignancy risk varies by age in children and young adults. Age-specific estimates improve risk assessment for paediatric thyroid cytology, guiding clinical decisions.
Area of Science:
- Endocrinology
- Paediatric Oncology
- Cytopathology
Background:
- Paediatric thyroid nodules, while rare, exhibit a higher malignancy rate compared to adult nodules.
- Current Bethesda risk-of-malignancy (ROM) estimates lack age stratification and are susceptible to verification bias.
Purpose of the Study:
- To develop age-specific ROM, likelihood ratios (LRs), and post-test malignancy probabilities for paediatric and young adult thyroid cytology.
- To address limitations of existing ROM estimates by incorporating age and quantifying verification bias.
Main Methods:
- Analysis of 2,728 thyroid fine-needle aspirations (FNAs) from patients aged 0-25 years across multiple tertiary centers (2000-2023).
- Classification using the 2023 Bethesda System and grouping into four age bands (0-8, 9-14, 15-18, 19-25 years).
- Calculation of lower-bound and surgery-only upper-bound ROM, with post-test probabilities computed using Bayes' theorem and age-specific pretest probabilities.
Main Results:
- Malignancy prevalence in operated nodules decreased with age, from 84.2% (0-8 years) to 64.6% (19-25 years).
- Verification bias was significant, with surgery-only ROM (67.7%) substantially higher than lower-bound ROM (24.6%).
- Indeterminate cytology categories showed age-related variations in post-test risk, e.g., follicular neoplasm ~71% risk in a 9-year-old vs. ~49% in a 24-year-old.
Conclusions:
- Age is a critical factor influencing both pretest and post-test malignancy probabilities in paediatric thyroid cytology.
- An age-stratified LR framework effectively quantifies verification bias and provides individualized risk estimates.
- These age-specific estimates are crucial for informed decision-making regarding surgery, molecular testing, and follow-up in young patients.

