Metastatic Mammary Carcinoma Presenting as a Large Cystic Axillary Mass: A Report of an Unusual Case
Bibliographic record
Abstract
The differential diagnosis of cystic axillary masses is broad and includes intranodal lesions. Cystic metastatic tumor deposits are rare, and have been reported in a few tumor types, most commonly in the head and neck region, but rarely described with metastatic mammary carcinoma. We report a case of a 61-year-old female who presented with a large right axillary mass. Imaging studies revealed a cystic axillary mass and ipsilateral breast mass. She was managed with breast conservation surgery and axillary dissection for invasive ductal carcinoma, no special type, Nottingham grade 2 (21 mm). One of nine lymph nodes contained a cystic nodal deposit (52 mm), which resembled a benign inclusion cyst. Oncotype DX recurrence score for the primary tumor was low (8), conferring a low risk of disease recurrence despite the large size of the nodal metastatic deposit. A cystic pattern of metastatic mammary carcinoma is rare and important to recognize for accurate staging and management decisions.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".