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Research · 05 of 07

No cancers in 307 paediatric tonsillectomy specimens at a safety-net hospital

Careful preoperative examination identified nearly all tonsil cancers; a risk-based policy for sending tonsil histology is reasonable, especially in children.

Design
Retrospective single-centre cohort
Population
769 tonsillectomy specimens (307 paediatric, 462 adult)
Primary outcome
Occult (unexpected) malignancy
Effect
Paediatric 0% (0-1.19%); adult unexpected 1 of 443 (0.23%)

This retrospective cohort reviewed all 769 tonsillectomy specimens (307 paediatric, 462 adult) at a large US safety-net hospital and head and neck cancer referral centre from 2022 to 2025.

No paediatric specimen contained malignancy (0%; 95% CI 0-1.19%). There were 20 adult malignancies, and 19 were expected or suspected before surgery. The one unexpected cancer, a mantle cell lymphoma, was 0.23% of the 443 adult tonsils removed without preoperative concern.

Routine histology of every tonsil costs time and money. Safety-net populations have higher cancer risk, so this was a stringent test of whether clinical assessment is enough, and it largely was.

The numbers are small and single-centre, so the confidence intervals leave room for a rare cancer to be missed.

  • Examine tonsils carefully preoperatively for asymmetry, ulceration, induration or neck nodes.
  • Send specimens for histology where there is any clinical suspicion or risk factor.
  • Consider a risk-stratified pathology policy for routine paediatric tonsillectomy.
  • Document the preoperative examination that supports not sending a specimen.

Why it matters

It supports focusing histology on clinically suspicious tonsils instead of routinely examining every specimen.

Don't overread it

With 769 specimens at one hospital, the study cannot exclude a rare occult malignancy rate of up to about 1%.

The statistics, in plain English

Finding zero cases does not mean the true rate is zero; the upper confidence limit of 1.19% in children is the highest rate still consistent with the data.

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