Giant circulating malignant cells spotted in feathered edge of blood film
Bibliographic record
Abstract
A 20-year-old male presented with a 4-week history of dry cough, night sweats, weight loss, and fever. Blood tests showed normocytic anemia (hemoglobin 71 g/L) and severe thrombocytopenia (platelets 17 × 109/L). His blood film demonstrated leukoerythroblastosis, occasional red blood cell fragments, and giant cells in the feathered edge (Figure 1, panel A; Wright–Giemsa stain, original magnification ×400). Imaging revealed a large anterior mediastinal mass. Bone marrow biopsy revealed a hypercellular marrow with extensive involvement by high-grade malignant cells (Figure 1, panel B—aspirate; Wright–Giemsa stain, original magnification ×400; panel C—trephine biopsy; hematoxylin and eosin stain, original magnification ×200). Immunohistochemical staining only revealed CD43+, pankeratin+, and weak CD30 (Figure 1, panels D–F). The mediastinal mass was biopsied and showed similar results, as well as positivity for Sal-like protein 4 (SALL4; Figure 1, panel G) and epithelial membrane antigen (EMA). Serum alphafetoprotein was also elevated. Karyotype and metaphase Fluorescence In Situ Hybridization (FISH) from the bone marrow showed two isochromosome 12p (Figure 1, panels H–I). The final diagnosis was nonseminomatous germ cell tumor, not further classified. This case illustrates the importance of scanning the feathered edge of blood films to check for circulating metastatic cells. While often discussed in theory and seldom seen in practice, it is rare cases like this that reaffirm the importance of checking the feathered edge. We would like to thank Dr. Brian F. Skinnider, Anatomical Pathology at Vancouver General Hospital, for signing out the surgical report for the anterior mediastinal biopsy and arranging for the appropriate immunohistochemical stains. The authors declare no conflict of interest. Robert Guo and Tyler Smith helped sign out the hematopathology report on the bone marrow specimen for this case, as well as in writing and editing this manuscript.
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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".