A rare presentation of tuberculous adenitis mimicking metastatic breast lymphadenopathy
Bibliographic record
Abstract
Tuberculosis (TB) remains in 2022 a significant public health issue as it remains endemic in some areas of the globe, with a high prevalence in underdeveloped countries (Pujani, Khan, Hassan, Jetley, Raina, Breast Dis., 35(3): 195-198, 2015. doi:10.3233/BD-150405. PMID: 26406543). Pulmonary TB is the most common form, but TB can also have extrapulmonary manifestations like tubercular lymphadenopathy. Tuberculous lymphadenitis is the most extrapulmonary tuberculosis. It used to be called scrofula in the past coming from the Latin meaning breeding sow (Kokosali, Lloyd, Dent Update, 33(5): 306-308, 311, 2006. doi:10.12968/denu.2006.33.5.306. PMID: 16841612; Oberhelman, Watchmaker, Phillips, JAMA Dermatol, 155(5): 610, 2019. doi:10.1001/jamadermatol.2018.5651. PMID: 30942835). It is a common cause of peripheral lymphadenitis, seen mostly in the developing countries, but also reemerging among intravenous drugs users and immunocompromised population. Cervical nodes are the most commonly detected nodes in tuberculous lymphadenitis, accounting for 63% of the cases, followed by mediastinal (27%) and axillary nodes (8%) (Ahuja, Ying, Evans, King, Metreweli, Clin Radiol, 50(6): 391-395, 1995. doi:10.1016/s0009-9260(05)83136-8. PMID: 7789023). Tuberculous lymphadenitis affects predominantly the young population and children. There is also a slight female predilection. As to our knowledge, there have not been any reported cases as post-menopausal axillary tuberculous lymphadenitis, and it is the focus of this article.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".