Ultrastructural and Microanalytical Study of a Subcutaneous Granuloma HPV Tetravalent Vaccine Induced: A Case Report and Review of Literature
Bibliographic record
Abstract
We report the case of an eighteen years old woman who developed a subcutaneous nodular lesion localized on her right upper arm. Conventional histological examination revealed a lesion characterized by a necrotic center surrounded by palisading epithelioid histiocytes embedded into the fibroadipous and skeletal muscle tissue. Transmission electron microscopy analysis confirmed the histological observations in terms of cellular composition of the granuloma. The ultrastructural microanalysis shed light on the elemental composition of the examined granulomatous formation since it clearly detected metallic deposits with an emission pick at EDX for aluminum within the hystocites’s granules. Our results support previous published data on the reactive nature of granulomatous reaction at the site of vaccine. The presence of aluminum inside the cytoplasm of macrophages proved by microanalysis gives strength to the etiopatogenic hypothesis of the granuloma formation. J Med Cases. 2013;4(7):461-465 doi: https://doi.org/10.4021/jmc1193w
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.002 | 0.001 |
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".