A Rare Thymic Tumor – Lipofibroadenoma – Always a Postoperative Surprise
Bibliographic record
Abstract
BACKGROUND/AIM: Thymic lipofibroadenoma is a benign growth of unknown etiology extremely rarely described in the literature, morphologically resembling lipofibroadenoma of the breast. The diagnosis is usually a postoperative surprise and is made by the anatomopathologist. Surgical resection is curative. CASE REPORT: The presented case is the first reported in a woman, to date. The patient was successfully submitted to surgery and complete resection of the giant intrathoracic tumor was performed. The histopathological and immunohistochemical studies came to demonstrated the presence of a thymic lipofibroadenoma while the postoperative outcomes were favorable. CONCLUSION: In cases presenting large intrathoracic tumors complete resection is able to provide a significant improvement of the general condition of the patient, as well as a chance for cure.
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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 | 0.000 |
| 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".