High‐Frequency Ultrasound: A Novel Diagnostic Tool to Measure Pediatric Tonsils in 3 Dimensions
Bibliographic record
Abstract
OBJECTIVE: A wide variety of pathologies can affect the palatine tonsils. Ultrasound is a commonly used modality for assessing head and neck masses in children; however, its use in tonsillar evaluation has not been widely explored. The objective of this study was to measure 3-dimensional tonsillar size with ultrasound, in centimeters, and correlate these measurements with actual ex vivo dimensions on pathology specimens. STUDY DESIGN: We performed a prospective cohort study. SETTING: The study was set in a tertiary care children's hospital. SUBJECTS AND METHODS: Children undergoing tonsillectomy were included in the study. Transcervical high-frequency ultrasonography (HFU) was performed prior to surgery to obtain 3-dimensional measurements of the right and left palatine tonsils. Mean sizes were compared to ex vivo tonsil measurements and correlations were obtained. RESULTS: Seventy-five consecutive children underwent a transcervical HFU, with a total of 150 tonsils analyzed. The mean differences between HFU and pathology measurements were -0.08 cm and -0.24 cm for the right and left craniocaudal axes, -0.19 cm and -0.18 cm for the right and left mediolateral axes, and 0.05 cm and 0.03 cm for the right and left anteroposterior axes. Correlation coefficients between ultrasound and pathology measurements were all above 0.5. CONCLUSION: HFU can accurately measure the size of pediatric tonsils in 3 dimensions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".