Giant Multilobulated Breast Mass, an Uncommon Manifestation of Fibroadenoma: A Case Study and Review of the Literature
Bibliographic record
Abstract
A giant multilobulated breast mass is a rare and significant presentation of fibroadenoma characterized by their considerable size, exceeding 5cm and their rapid progression, which frequently results in notable breast distortion. It can cause symptoms such as stretching of the skin with multiple dilated veins, nipple changes and even ulceration that may mimic malignancy. Presented is a case involving a 33-year-old woman with a giant multilobulated breast mass of 6 years duration noticed during lactation. Clinical, imaging and histological evaluation revealed a definitive diagnosis of a giant fibroadenoma. She was offered surgical enucleation with satisfactory outcome. Giant fibroadenoma is rare and may be noticed during lactation simulating malignancy. Hormonal changes during pregnancy and lactation can stimulate the growth of fibroadenoma.Timely histopathological validation through immunohistochemistry is crucial to prevent the unnecessary treatment of benign lesions that resemble malignant condition. Surgical intervention with enucleation is the treatment choice for this benign disease and timely surgical intervention is recommended for the avoidance of complications that may be associated with late presentation of giant lesions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".