Synchronous Thyrolipoma and Papillary Thyroid Carcinoma: A Rare but Significant Event
Bibliographic record
Abstract
The presence of adipocytes within thyroid glands is a rare finding seen in thyrolipoma, diffuse lipomatosis, or thyroid teratoma. Although some cases present with multinodular goiter or autoimmune thyroiditis, the exact cause has not yet been elucidated. Among reported cases, thyrolipomas mainly occur in females and usually present as a solitary lesion. However, a few reported cases had coexisting papillary thyroid carcinomas. Herein, we present a 51-year-old female with synchronous thyrolipoma (2.0 × 1.5 × 1.3 cm) and papillary thyroid carcinoma (0.7 × 0.6 × 0.6 cm) within the same thyroid lobe. She had diabetes mellitus and hypertension and complained of anterior neck enlargement and discomfort for three months. Thyroid sonography showed multiple hypoechoic nodules, one of which was heterogeneous and ill-defined. Fine needle aspirate cytology for the ill-defined nodule was suspicious for papillary thyroid carcinoma. She subsequently received radical thyroidectomy and neck lymph node dissection. Histopathologically, one thyrolipoma and one papillary thyroid carcinoma were identified in the right lobe of the thyroid gland without metastases of lymph nodes, while other nodules were multinodular goiter. Notably, thyrolipoma may not be simply an incidental finding but might coexist with thyroid carcinomas. A brief review of the pertinent literature of prior reports is also provided.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".