Immunohistochemical Panel of Undifferentiated Orbital Metastatic Carcinomas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To examine the applicability of an immunohistochemical panel of seven monoclonal antibodies to identify the primary site of poorly differentiated orbital metastatic carcinomas. MATERIAL AND METHODS: Immunohistochemistry was performed to detect cytokeratin (CK) 7, CK20, thyroid transcription factor-1 (TTF-1), BRST1, BRST2, carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) in seven cases of poorly differentiated orbital metastases. Of the seven cases, four were female and three male. The youngest patient was thirty-six while the oldest was eighty-eight years of age. RESULTS: The immunohistochemical panel alone was helpful to identify the primary source of the metastatic lesion in three out of the seven cases. Two of them were metastatic breast carcinomas (BRST1, BRST2 positive) and one was a prostate carcinoma (PSA positive). By correlating the immunohistochemical results with the previous clinical history, the primary site could be identified in two more cases. In those metastatic lesions, the positive staining for CK7, CK20, and CEA, associated with negative staining for BRST1, BRST2, PSA and TTF-1, indicated bladder as the probable primary site. In two out of seven cases, the metastatic tumor was only positive for CEA, therefore a primary site could not be identified. CONCLUSIONS: An immunohistochemical panel of poorly differentiated orbital metastases is helpful in the identification of the primary tumor site. The association of seven markers with the patient's clinical history allowed for the positive identification of the primary tumor in the majority of these cases.
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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) | 0.000 | 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 it