Salivary gland scintigraphy in children with post duct ligation for sialorrhea
Bibliographic record
Abstract
1374 Objectives Sialorrhea is a major cause of morbidity in children with cerebral palsy or neurodegenerative disorders potentially causing recurrent pneumonia secondary to salivary aspiration. Ligation of the submandibular and parotid ducts is used to produce functional atrophy of the salivary glands with significantly decreased salivation. The purpose of this study is to evaluate the role of salivary gland scintigraphy in detecting residual salivary gland function in children with persistent drooling after duct ligation. Methods 20 salivary gland scans were reviewed retrospectively in 19 children with persistent drooling after four-duct ligation or parotid gland duct ligation with submandibular gland duct relocation. A dynamic study was acquired for 20 minutes followed by static images obtained in the LAO, RAO and anterior projections. Activity in the parotid and submandibular glands was interpreted as no function when there was no activity, residual but decreased function when the uptake was significantly less than thyroid uptake, or normal function when there was marked uptake similar to thyroid uptake. Results All patients had normal or residual function in at least one major salivary gland. 13 patients had four-duct ligation and 6 patients had parotid gland duct ligation. Of 38 total parotid glands 18 had normal function, 17 residual function and 3 no function. Of 26 total submandibular glands with ligation 8 had normal function, 13 residual function and 5 no function. In one patient, activity was seen in the lungs and major bronchi suggestive of salivary aspiration. Conclusions Salivary gland scintigraphy can be used to assess the major salivary gland function in children with persistent sialorrhea after duct ligation surgery.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".