Calretinin Staining Facilitates Differentiation of Olfactory Neuroblastoma From Other Small Round Blue Cell Tumors in the Sinonasal Tract
Bibliographic record
Abstract
OBJECTIVE: Olfactory neuroblastoma (ONB) is an uncommon malignant tumor of the sinonasal tract and has a wide histologic differential diagnosis that includes other small round blue cell tumors (SRBCTs). Even with the use of immunohistochemistry (IHC), the correct diagnosis may be difficult, especially in small biopsies. The purpose of this study is to determine the usefulness of calretinin and p63 as an aid to distinguish ONB from other sinonasal SRBCTs. METHODS: IHC staining for calretinin and p63 was performed on 21 specimens diagnosed as ONB and on 42 other sinonasal SRBCTs. Specimens were retrieved from the files of the QEII HSC, Halifax and UHN, Toronto. RESULTS: All but 1 ONB (20 of 21) showed calretinin staining, with 15 of 21 showing staining in >75% of the tumor area and 18 of 21 showing moderate-to-strong staining intensity. Only pituitary adenomas (3 of 3) and a single case of small cell carcinoma, neuroendocrine type (1 of 2), showed a similar staining pattern. None of the ONBs showed staining for p63. P63 was positive in all cases of nonkeratinizing squamous cell carcinoma (2 of 2) and in single cases of mantle cell lymphoma (1 of 1) and poorly differentiated neuroendocrine carcinoma (1 of 1); however, it inconsistently stained diffuse large B-cell lymphoma (4 of 5), extranodal NK/T-cell lymphoma, nasal type (1 of 4), sinonasal undifferentiated carcinoma (1 of 6), and Ewing sarcoma/primitive neuroectodermal tumor (2 of 6). CONCLUSIONS: Calretinin appears to be a useful marker to distinguish ONBs from other SRBCTs of the sinonasal tract, particularly when staining is moderate/strong and extensive. The calretinin-positive, p63-negative phenotype is fairly specific for ONB. The addition of these 2 IHC stains may aid in the diagnosis of sinonasal SRBCTs that are poorly differentiated, have inconclusive conventional IHC, or are found in small biopsies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".