Various Spectrum of Lesion in Palatine Tonsil Underwent for Tonsillectomy in Tertiary Care Center
Bibliographic record
Abstract
Background and Aim: The palatine tonsils are paired masses of lymphoid tissue that serve as an immune barrier against pathogenic substances entering the respiratory and digestive tracts. Tonsils, despite their defensive function, are susceptible to infection. This study was carried out to investigate the clinicopathological findings of diverse palatine tonsil lesions that had tonsillectomy in various age groups. Material and Methods: For one and a half years, a cross-sectional study was undertaken in the Department of ENT at Tertiary Care Institute of India. The cases included were from various age groups, ranging from children to the elderly, and had recurring occurrences of Acute Tonsillitis. A total of 84 cases were operated on, with tonsillectomy performed in 80 cases (unilateral-12, bilateral-68), and tonsillar biopsy performed in 03 cases. The available data for all patients in terms of age, gender, and clinical symptoms was gathered. Results: The most common age group afflicted in all cases of chronic tonsillitis is 21-30 years, accounting for 36.25%, followed by 31-40 years, accounting for 28.75%. Tonsillectomy was performed in 80 instances and tonsillar biopsy was performed in 04 cases, with 36 males and 44 females ranging in age from 1 to 70 years. There were 05 cases of acute chronic tonsillitis, one case of acute ulcerative tonsillitis with micro abscesses, and two cases of reactive lymphoid hyperplasia. Two cases of granulomatous tonsillitis were observed. Conclusion: Chronic tonsillitis is a frequent issue that affects people of all ages and is identified in the palatine tonsil. Histopathology is important in detecting both benign and malignant tonsil lesions and determining the best course of treatment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".