Nontuberculous Mycobacterial Adenitis of the Head and Neck in Children: Experience From a Tertiary Care Pediatric Center
Bibliographic record
Abstract
OBJECTIVE: To describe our experience with the diagnosis, surgical treatment, and outcome of nontuberculous mycobacterial (NTM) adenitis of the head and neck in children, and to present a preliminary report about the use of NTM skin tests in our institution. STUDY DESIGN: Retrospective study. METHODS: The medical records of all children diagnosed with cervicofacial NTM adenitis were retrospectively reviewed for the period from January 1, 1995, through December 31, 2000. We also examined the use of intradermal skin tests for the diagnosis of NTM infection. RESULTS: Fifty patients were diagnosed with NTM cervicofacial adenitis. Pertinent demographic information, clinical presentation, investigation, and type of diagnostic procedures were documented. Surgical procedures, complications, and relapses were also noted. One unusual case of retropharyngeal adenitis is illustrated. All patients were treated with complete excision of their lesion at the first operation. No major complications were noted. Only one patient relapsed and required a second operation. Forty-one children were skin-tested with NTM antigens. Of these, 30 patients were dual-tested with Purified Protein Derivative (PPD) also. No adverse reactions were noted with the use of skin tests. Sensitivity of NTM antigens alone is 87%. Sensitivity of dual testing is 78%. No patient had a PPD-dominant reaction. CONCLUSION: Surgical excision is the treatment of choice of NTM adenitis because of the high cure rate with a single procedure, the excellent cosmetic result, and the low complication rate. NTM skin tests are safe and could be useful in early diagnosis of the infection but further investigation is needed.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".